diff --git a/api/api_helpers.py b/api/api_helpers.py
index d90c0e68d..f1f2ad88f 100644
--- a/api/api_helpers.py
+++ b/api/api_helpers.py
@@ -58,12 +58,6 @@ def store_artifact(artifact_type: Enum, key:str, data, ex=2592000):
 # The same unit for proper comparison!
 #
 def rescale_metric_value(value, unit):
-    if unit == 'mJ':
-        value = value * 1_000
-        unit = 'uJ'
-
-    # We only expect values to be uJ for energy in the future. Changing values now temporarily.
-    # TODO: Refactor this once all data in the DB is uJ
     if unit not in ('uJ', 'ug') and not unit.startswith('ugCO2e/'):
         raise ValueError('Unexpected unit occured for metric rescaling: ', unit)
 
@@ -249,7 +243,7 @@ def get_comparison_details(user, ids, comparison_db_key):
         WHERE
             (TRUE = %s OR user_id = ANY(%s::int[]))
             AND id = ANY(%s::uuid[])
-        ORDER BY created_at DESC -- must be same order as get_phase_stats so that the order in the comparison bar charts aligns with the comparsion_details array
+        ORDER BY created_at ASC -- must be same order as get_phase_stats so that the order in the comparison bar charts aligns with the comparsion_details array
     ''').format(sql.Identifier(comparison_db_key))
 
     params = (user.is_super_user(), user.visible_users(), ids)
@@ -398,7 +392,7 @@ def get_phase_stats(user, ids):
                 (TRUE = %s OR b.user_id = ANY(%s::int[]))
                 AND a.run_id = ANY(%s::uuid[])
             ORDER BY
-                -- at least the run_ids must be same order as get_comparsion_details so that the order in the comparison bar charts aligns with the comparsion_details array
+                -- at least the run_ids must be same order as get_comparison_details so that the order in the comparison bar charts aligns with the comparsion_details array
                 b.created_at ASC,
                 a.id ASC
             """
diff --git a/api/main.py b/api/main.py
index f559d4e42..0e2ffa934 100644
--- a/api/main.py
+++ b/api/main.py
@@ -491,6 +491,7 @@ async def get_measurements_single(run_id: str, user: User = Depends(authenticate
     params = (user.is_super_user(), user.visible_users(), run_id)
 
     # extremely important to order here, cause the charting library in JS cannot do that automatically!
+    # Furthermore we do time-lag caclulations and need the order of metric first and then time in stats.js:179... . Please do not change
     query = f"{query} ORDER BY mm.metric ASC, mm.detail_name ASC, mv.time ASC"
 
     data = DB().fetch_all(query, params=params)
diff --git a/data/demo_data.sql b/data/demo_data.sql
index dc95a73db..182f90a28 100644
--- a/data/demo_data.sql
+++ b/data/demo_data.sql
@@ -11,8168 +11,3921 @@ VALUES
 
 INSERT INTO phase_stats ("id","run_id","metric","detail_name","phase","value","type","max_value","min_value","sampling_rate_avg","sampling_rate_max","sampling_rate_95p","unit","created_at","updated_at")
 VALUES
-(397,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'phase_time_syscall_system',E'[SYSTEM]',E'000_[BASELINE]',5000601,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.761366+00',NULL),
-(398,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_energy_rapl_msr_component',E'Package_0',E'000_[BASELINE]',9688,E'TOTAL',NULL,NULL,99.38397959183673,99.666,99.624,E'mJ',E'2025-01-01 14:07:05.761366+00',NULL),
-(399,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_power_rapl_msr_component',E'Package_0',E'000_[BASELINE]',1937,E'MEAN',4399,1330,99.38397959183673,99.666,99.624,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
-(400,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_utilization_procfs_system',E'[system]',E'000_[BASELINE]',128,E'MEAN',384,0,99.72532653061225,100.495,100.36460000000001,E'Ratio',E'2025-01-01 14:07:05.761366+00',NULL),
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-(402,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'000_[BASELINE]',3543,E'MEAN',11489,2100,99.38710204081633,99.81,99.67760000000001,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
-(403,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'000_[BASELINE]',2145,E'TOTAL',NULL,NULL,99.38710204081633,99.81,99.67760000000001,E'ug',E'2025-01-01 14:07:05.761366+00',NULL),
-(404,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'embodied_carbon_share_machine',E'[SYSTEM]',E'000_[BASELINE]',7175,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.761366+00',NULL),
-(405,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'phase_time_syscall_system',E'[SYSTEM]',E'001_[INSTALLATION]',17540,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.761366+00',NULL),
-(406,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_energy_rapl_msr_component',E'Package_0',E'001_[INSTALLATION]',144,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.761366+00',NULL),
-(407,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_power_rapl_msr_component',E'Package_0',E'001_[INSTALLATION]',8210,E'MEAN',8210,8210,0,0,0,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
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-(409,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'001_[INSTALLATION]',17446,E'MEAN',17446,17446,0,0,0,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
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-(411,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'embodied_carbon_share_machine',E'[SYSTEM]',E'001_[INSTALLATION]',25,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.761366+00',NULL),
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-(417,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'002_[BOOT]',21663,E'MEAN',27799,16727,99.095,99.134,99.1301,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
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-(438,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'phase_time_syscall_system',E'[SYSTEM]',E'004_[RUNTIME]',5203908,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.761366+00',NULL),
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-(440,E'a416057b-235f-41d8-9fb8-9bcc70a308e7',E'cpu_power_rapl_msr_component',E'Package_0',E'004_[RUNTIME]',8656,E'MEAN',12121,3707,99.44690196078432,100.511,100.395,E'mW',E'2025-01-01 14:07:05.761366+00',NULL),
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-(700,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'cpu_power_rapl_msr_component',E'Package_0',E'002_[BOOT]',6788,E'MEAN',11914,2440,99.3918,99.516,99.50160000000001,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(703,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'002_[BOOT]',14339,E'MEAN',23743,5216,99.4266,99.617,99.586,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(705,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'embodied_carbon_share_machine',E'[SYSTEM]',E'002_[BOOT]',819,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.95726+00',NULL),
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-(707,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'cpu_energy_rapl_msr_component',E'Package_0',E'003_[IDLE]',10971,E'TOTAL',NULL,NULL,99.32136,100.057,99.7494,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
-(708,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'cpu_power_rapl_msr_component',E'Package_0',E'003_[IDLE]',2194,E'MEAN',3243,1611,99.32136,100.057,99.7494,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(589,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_power_rapl_msr_component',E'Package_0',E'000_[BASELINE]',1833,E'MEAN',2600,1230,99.38548979591836,99.689,99.607,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
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-(591,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'000_[BASELINE]',16986,E'TOTAL',NULL,NULL,99.38975510204082,99.705,99.6636,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(592,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'000_[BASELINE]',3397,E'MEAN',6769,2150,99.38975510204082,99.705,99.6636,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(593,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'000_[BASELINE]',2057,E'TOTAL',NULL,NULL,99.38975510204082,99.705,99.6636,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(594,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'embodied_carbon_share_machine',E'[SYSTEM]',E'000_[BASELINE]',7175,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
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-(596,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_energy_rapl_msr_component',E'Package_0',E'001_[INSTALLATION]',187,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(597,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_power_rapl_msr_component',E'Package_0',E'001_[INSTALLATION]',9838,E'MEAN',9838,9838,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(598,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'001_[INSTALLATION]',335,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(599,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'001_[INSTALLATION]',17625,E'MEAN',17625,17625,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(600,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'001_[INSTALLATION]',41,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(601,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'embodied_carbon_share_machine',E'[SYSTEM]',E'001_[INSTALLATION]',27,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(602,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'phase_time_syscall_system',E'[SYSTEM]',E'002_[BOOT]',309732,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.891846+00',NULL),
-(603,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_energy_rapl_msr_component',E'Package_0',E'002_[BOOT]',3424,E'TOTAL',NULL,NULL,99.1415,99.201,99.19505000000001,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(604,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_power_rapl_msr_component',E'Package_0',E'002_[BOOT]',11055,E'MEAN',11255,10906,99.1415,99.201,99.19505000000001,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(605,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_utilization_procfs_system',E'[system]',E'002_[BOOT]',1678,E'MEAN',2727,1139,99.1855,99.195,99.19405,E'Ratio',E'2025-01-01 14:07:05.891846+00',NULL),
-(606,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'002_[BOOT]',6648,E'TOTAL',NULL,NULL,99.152,99.16,99.1592,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(607,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'002_[BOOT]',21464,E'MEAN',22355,20185,99.152,99.16,99.1592,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(608,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'002_[BOOT]',805,E'TOTAL',NULL,NULL,99.152,99.16,99.1592,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(609,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'embodied_carbon_share_machine',E'[SYSTEM]',E'002_[BOOT]',444,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(610,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'phase_time_syscall_system',E'[SYSTEM]',E'003_[IDLE]',5000545,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.891846+00',NULL),
-(611,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_energy_rapl_msr_component',E'Package_0',E'003_[IDLE]',8269,E'TOTAL',NULL,NULL,99.39895918367347,99.667,99.64460000000001,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(612,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_power_rapl_msr_component',E'Package_0',E'003_[IDLE]',1654,E'MEAN',3020,980,99.39895918367347,99.667,99.64460000000001,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(613,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_utilization_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',0,E'MEAN',0,0,100.0119387755102,100.872,100.73780000000001,E'Ratio',E'2025-01-01 14:07:05.891846+00',NULL),
-(614,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_utilization_procfs_system',E'[system]',E'003_[IDLE]',158,E'MEAN',1282,0,99.7425,100.453,100.31765,E'Ratio',E'2025-01-01 14:07:05.891846+00',NULL),
-(615,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'memory_used_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',520192,E'MEAN',520192,520192,99.44195918367348,100.305,99.6868,E'Bytes',E'2025-01-01 14:07:05.891846+00',NULL),
-(616,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_io_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',64533951,E'MEAN',70395547,53688977,100.0205306122449,104.239,100.7862,E'Bytes/s',E'2025-01-01 14:07:05.891846+00',NULL),
-(617,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_total_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',322736,E'TOTAL',NULL,NULL,100.0205306122449,104.239,100.7862,E'Bytes',E'2025-01-01 14:07:05.891846+00',NULL),
-(618,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'003_[IDLE]',15569,E'TOTAL',NULL,NULL,99.4021224489796,99.744,99.667,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(619,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'003_[IDLE]',3113,E'MEAN',7409,1530,99.4021224489796,99.744,99.667,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(620,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'003_[IDLE]',1886,E'TOTAL',NULL,NULL,99.4021224489796,99.744,99.667,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(621,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_energy_formula_global',E'[FORMULA]',E'003_[IDLE]',3081,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(622,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_carbon_formula_global',E'[FORMULA]',E'003_[IDLE]',373,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(623,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'embodied_carbon_share_machine',E'[SYSTEM]',E'003_[IDLE]',7175,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(624,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_cgroup_slice',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(625,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_cgroup_slice',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(626,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(627,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(628,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'phase_time_syscall_system',E'[SYSTEM]',E'004_[RUNTIME]',5307804,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.891846+00',NULL),
-(629,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_energy_rapl_msr_component',E'Package_0',E'004_[RUNTIME]',46769,E'TOTAL',NULL,NULL,99.21369230769231,100.091,99.52925,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(630,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_power_rapl_msr_component',E'Package_0',E'004_[RUNTIME]',8811,E'MEAN',12212,3695,99.21369230769231,100.091,99.52925,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(631,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_utilization_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',1206,E'MEAN',1279,0,99.61646153846154,100.907,100.492,E'Ratio',E'2025-01-01 14:07:05.891846+00',NULL),
-(632,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_utilization_procfs_system',E'[system]',E'004_[RUNTIME]',1370,E'MEAN',2400,512,99.49511538461539,100.733,100.50055,E'Ratio',E'2025-01-01 14:07:05.891846+00',NULL),
-(633,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'memory_used_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',11119199,E'MEAN',12189696,520192,99.25896226415094,99.721,99.5918,E'Bytes',E'2025-01-01 14:07:05.891846+00',NULL),
-(634,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_io_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',73058526,E'MEAN',73589275,72886033,99.53896153846154,103.32,100.49435000000001,E'Bytes/s',E'2025-01-01 14:07:05.891846+00',NULL),
-(635,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_total_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',385425,E'TOTAL',NULL,NULL,99.53896153846154,103.32,100.49435000000001,E'Bytes',E'2025-01-01 14:07:05.891846+00',NULL),
-(636,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'004_[RUNTIME]',78531,E'TOTAL',NULL,NULL,99.216,100.123,99.49605,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(637,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'004_[RUNTIME]',14795,E'MEAN',21398,6790,99.216,100.123,99.49605,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(638,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_carbon_dc_rapl_msr_machine',E'PSYS_0',E'004_[RUNTIME]',9511,E'TOTAL',NULL,NULL,99.216,100.123,99.49605,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(639,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_energy_formula_global',E'[FORMULA]',E'004_[RUNTIME]',3679,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(640,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'network_carbon_formula_global',E'[FORMULA]',E'004_[RUNTIME]',446,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(641,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'embodied_carbon_share_machine',E'[SYSTEM]',E'004_[RUNTIME]',7616,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.891846+00',NULL),
-(642,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_cgroup_slice',E'gcb-alpine-stress',E'004_[RUNTIME]',78531,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(643,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_cgroup_slice',E'gcb-alpine-stress',E'004_[RUNTIME]',14795,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(644,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_energy_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',60502,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
-(645,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'psu_power_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',11399,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.891846+00',NULL),
-(646,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'phase_time_syscall_system',E'[SYSTEM]',E'005_Stress',5306934,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.891846+00',NULL),
-(647,E'f4ed967e-7c27-4055-815f-ea437fc11d25',E'cpu_energy_rapl_msr_component',E'Package_0',E'005_Stress',46769,E'TOTAL',NULL,NULL,99.21369230769231,100.091,99.52925,E'mJ',E'2025-01-01 14:07:05.891846+00',NULL),
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-(715,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'003_[IDLE]',4266,E'MEAN',7282,2866,99.3316,100.18,99.6217,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(719,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'embodied_carbon_share_machine',E'[SYSTEM]',E'003_[IDLE]',7175,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.95726+00',NULL),
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-(721,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_cgroup_slice',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(723,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_cgroup_container',E'gcb-alpine-stress',E'003_[IDLE]',0,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
-(724,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'phase_time_syscall_system',E'[SYSTEM]',E'004_[RUNTIME]',5064843,E'TOTAL',NULL,NULL,0,0,0,E'us',E'2025-01-01 14:07:05.95726+00',NULL),
-(725,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'cpu_energy_rapl_msr_component',E'Package_0',E'004_[RUNTIME]',42503,E'TOTAL',NULL,NULL,99.24916,99.518,99.4785,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
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-(729,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'memory_used_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',11749818,E'MEAN',12193792,1646592,99.28102,99.586,99.55185,E'Bytes',E'2025-01-01 14:07:05.95726+00',NULL),
-(730,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'network_io_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',69667197,E'MEAN',70177200,69474223,99.5765,100.52,100.3461,E'Bytes/s',E'2025-01-01 14:07:05.95726+00',NULL),
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-(732,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_energy_dc_rapl_msr_machine',E'PSYS_0',E'004_[RUNTIME]',72587,E'TOTAL',NULL,NULL,99.23566,99.606,99.485,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
-(733,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_dc_rapl_msr_machine',E'PSYS_0',E'004_[RUNTIME]',14332,E'MEAN',21579,6978,99.23566,99.606,99.485,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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-(735,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'network_energy_formula_global',E'[FORMULA]',E'004_[RUNTIME]',3377,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
-(736,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'network_carbon_formula_global',E'[FORMULA]',E'004_[RUNTIME]',409,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.95726+00',NULL),
-(737,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'embodied_carbon_share_machine',E'[SYSTEM]',E'004_[RUNTIME]',7267,E'TOTAL',NULL,NULL,0,0,0,E'ug',E'2025-01-01 14:07:05.95726+00',NULL),
-(738,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_energy_cgroup_slice',E'gcb-alpine-stress',E'004_[RUNTIME]',72587,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
-(739,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_cgroup_slice',E'gcb-alpine-stress',E'004_[RUNTIME]',14332,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
-(740,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_energy_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',60169,E'TOTAL',NULL,NULL,0,0,0,E'mJ',E'2025-01-01 14:07:05.95726+00',NULL),
-(741,E'3e6554a4-10bc-46d6-93a1-e61bfd1d9808',E'psu_power_cgroup_container',E'gcb-alpine-stress',E'004_[RUNTIME]',11880,E'TOTAL',NULL,NULL,0,0,0,E'mW',E'2025-01-01 14:07:05.95726+00',NULL),
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 INSERT INTO measurement_metrics ("id","run_id","metric","detail_name","unit")
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 INSERT INTO measurement_values ("measurement_metric_id","value","time")
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+(30,360000,1726160339922534),
+(30,389000,1726160340021644),
+(30,584000,1726160340120836),
+(30,485000,1726160340219996),
+(30,407000,1726160340319159),
+(30,396000,1726160340418339),
+(30,371000,1726160340517638),
+(30,679000,1726160340617217),
+(30,508000,1726160340716863),
+(30,411000,1726160340816439),
+(30,583000,1726160340915990),
+(30,520000,1726160341015127),
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+(30,405000,1726160341213769),
+(30,331000,1726160341312958),
+(30,453000,1726160341412251),
+(30,428000,1726160341511531),
+(30,397000,1726160341610814),
+(30,286000,1726160341710131),
+(30,388000,1726160341809298),
+(30,436000,1726160341908864),
+(30,615000,1726160342008298),
+(30,424000,1726160342107759),
+(30,471000,1726160342207196),
+(30,460000,1726160342306631),
+(30,456000,1726160342406047),
+(30,329000,1726160342505181),
+(30,714000,1726160342604326),
+(30,688000,1726160342703501),
+(30,433000,1726160342802799),
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+(30,380000,1726160343001122),
+(30,411000,1726160343100270),
+(30,417000,1726160343199424),
+(30,340000,1726160343298586),
+(30,491000,1726160343398150),
+(30,427000,1726160343497655),
+(30,303000,1726160343596998),
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+(30,355000,1726160343795593),
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+(30,309000,1726160343993961),
+(30,362000,1726160344093143),
+(30,342000,1726160344192321),
+(30,352000,1726160344291498),
+(30,371000,1726160344390792),
+(30,376000,1726160344489942),
+(30,325000,1726160344589117),
+(30,504000,1726160344688709),
+(30,518000,1726160344788773),
+(30,452000,1726160344888953),
+(30,286000,1726160344988087),
+(30,434000,1726160345087229),
+(30,304000,1726160345186485),
+(30,281000,1726160345285731),
+(30,295000,1726160345384958),
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+(30,371000,1726160345583460),
+(30,412000,1726160345682718),
+(30,337000,1726160345781945),
+(30,370000,1726160345881201),
+(30,392000,1726160345981468),
+(30,297000,1726160346080600),
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+(30,345000,1726160346278887),
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+(30,360000,1726160346477065),
+(30,1293000,1726160346576176),
+(30,1873000,1726160346675259),
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+(30,707000,1726160346873705),
+(30,695000,1726160346972918),
+(30,1010000,1726160347072164),
+(30,1388000,1726160347171288),
+(30,2037000,1726160347270383),
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+(30,1931000,1726160347468664),
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+(30,604000,1726160353327260),
+(30,820000,1726160353426930),
+(30,388000,1726160353526208),
+(30,427000,1726160353625526),
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+(30,278000,1726160353823979),
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+(30,361000,1726160354022302),
+(30,260000,1726160354121446),
+(30,330000,1726160354220664),
+(30,389000,1726160354319799),
+(30,468000,1726160354419295),
+(30,482000,1726160354518717),
+(30,424000,1726160354618294),
+(30,497000,1726160354717995),
+(30,331000,1726160354817672),
+(30,398000,1726160354917170),
+(30,539000,1726160355016841),
+(30,260000,1726160355116047),
+(30,239000,1726160355215324),
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+(30,171000,1726160355612533),
+(30,143000,1726160355711823),
+(30,251000,1726160355811105),
+(30,563000,1726160355910663),
+(30,339000,1726160356010169),
+(30,301000,1726160356109814),
+(30,366000,1726160356209246),
+(30,279000,1726160356308696),
+(30,373000,1726160356408150),
+(30,256000,1726160356507785),
+(30,249000,1726160356606920),
+(30,236000,1726160356706139),
+(30,177000,1726160356805436),
+(30,193000,1726160356904720),
+(30,197000,1726160357004006),
+(30,218000,1726160357103280),
+(30,187000,1726160357202436),
+(30,252000,1726160357301963),
+(30,563000,1726160357401387),
+(30,299000,1726160357501046),
+(30,201000,1726160357600436),
+(30,219000,1726160357699993),
+(30,271000,1726160357799408),
+(30,241000,1726160357898542),
+(30,263000,1726160357997729),
+(30,219000,1726160358097021),
+(30,247000,1726160358196296),
+(30,321000,1726160358295586),
+(30,200000,1726160358394845),
+(30,168000,1726160358494109),
+(30,275000,1726160358593245);
 
 
 INSERT INTO "notes"("id","run_id","detail_name","note","time","created_at","updated_at")
diff --git a/docker/structure.sql b/docker/structure.sql
index bfad8f942..d60860fb8 100644
--- a/docker/structure.sql
+++ b/docker/structure.sql
@@ -172,9 +172,9 @@ CREATE TABLE phase_stats (
     type text NOT NULL,
     max_value bigint,
     min_value bigint,
-    sampling_rate_avg DOUBLE PRECISION NOT NULL,
-    sampling_rate_max DOUBLE PRECISION NOT NULL,
-    sampling_rate_95p DOUBLE PRECISION NOT NULL,
+    sampling_rate_avg int NOT NULL,
+    sampling_rate_max int NOT NULL,
+    sampling_rate_95p int NOT NULL,
     unit text NOT NULL,
     created_at timestamp with time zone DEFAULT now(),
     updated_at timestamp with time zone
diff --git a/ee b/ee
index 1cacb721f..e617764d2 160000
--- a/ee
+++ b/ee
@@ -1 +1 @@
-Subproject commit 1cacb721f76d1caabeddaa8eb8c08b459e5c501d
+Subproject commit e617764d257dd37bb34a375edce7609fa51bfcbb
diff --git a/frontend/js/authentication.js b/frontend/js/authentication.js
index 6f3b01493..e92f73fec 100644
--- a/frontend/js/authentication.js
+++ b/frontend/js/authentication.js
@@ -1,7 +1,6 @@
 (() => {
     $(window).on('load', function() {
         const authentication_token = localStorage.getItem('authentication_token');
-
         if (authentication_token != null) {
             $("#authentication-token").val(authentication_token);
         }
diff --git a/frontend/js/ci.js b/frontend/js/ci.js
index cc803cafb..573bde604 100644
--- a/frontend/js/ci.js
+++ b/frontend/js/ci.js
@@ -46,7 +46,7 @@ const getEChartsOptions = () => {
 
 const getChartOptions = (measurements) => {
     const options = getEChartsOptions();
-    options.title.text = `Workflow energy cost per run [mJ]`;
+    options.title.text = `Workflow energy cost per run [J]`;
 
     const legend = new Set()
     const labels = []
diff --git a/frontend/js/helpers/charts.js b/frontend/js/helpers/charts.js
index a26b4709c..eb6ed9507 100644
--- a/frontend/js/helpers/charts.js
+++ b/frontend/js/helpers/charts.js
@@ -475,14 +475,14 @@ const removeKeyMetricsRadarChart = (phase) => {
     document.querySelector(`.ui.tab[data-tab='${phase}'] .radar-chart`).remove()
 }
 
-const displayKeyMetricsBarChart = (legend, labels, data, phase) => {
+const displayKeyMetricsBarChart = (legend, labels, data, phase, unit) => {
 
     let series = data.map((el, idx) => { return {type: "bar", name: legend[idx], data: el}})
     let chartDom = document.querySelector(`.ui.tab[data-tab='${phase}'] .bar-chart .statistics-chart`);
     document.querySelector(`.ui.tab[data-tab='${phase}'] .bar-chart .chart-title`).innerText = TOP_BAR_CHART_TITLE;
 
     let myChart = echarts.init(chartDom);
-    let options = getLineBarChartOptions(null, labels, series, null, TOP_BAR_CHART_UNIT, 'category', null, true);
+    let options = getLineBarChartOptions(null, labels, series, null, unit, 'category', null, true);
     myChart.setOption(options);
 
     // set callback when ever the user changes the viewport
@@ -546,7 +546,7 @@ const displayKeyMetricsEmbodiedCarbonChart = (phase) => {
 
 }
 
-const displayTotalChart = (legend, labels, data) => {
+const displayTotalChart = (legend, labels, data, unit) => {
     const chartDom = document.querySelector(`#total-phases-data .bar-chart .statistics-chart`);
     document.querySelector(`#total-phases-data .bar-chart .chart-title`).innerText = TOTAL_CHART_BOTTOM_TITLE;
 
@@ -573,7 +573,7 @@ const displayTotalChart = (legend, labels, data) => {
     }
 
 
-    const options = getLineBarChartOptions(null, labels, series, null, TOTAL_CHART_UNIT, 'category', null, true)
+    const options = getLineBarChartOptions(null, labels, series, null, unit, 'category', null, true)
 
     myChart.setOption(options);
         // set callback when ever the user changes the viewport
diff --git a/frontend/js/helpers/config.js.example b/frontend/js/helpers/config.js.example
index ddeee6587..91eea40b1 100644
--- a/frontend/js/helpers/config.js.example
+++ b/frontend/js/helpers/config.js.example
@@ -261,12 +261,13 @@ METRIC_MAPPINGS = {
     'disk_io_bytesread_powermetrics_vm': {
         'clean_name': 'Disk I/O (Read)',
         'source': 'powermetrics',
-        'explanation': 'Disk I/O - Bytes read per second for SDD/HDD',
+        'explanation': 'Disk I/O - Bytes read per second for SSD/HDD',
     },
     'disk_io_byteswritten_powermetrics_vm': {
         'clean_name': 'Disk I/O (Write)',
         'source': 'powermetrics',
-        'explanation': 'Disk I/O - Bytes written per second for SDD/HDD',
+        'explanation': 'Disk I/O - Bytes written per second for SSD/HDD',
+
     },
     'energy_impact_powermetrics_vm': {
         'clean_name': 'Energy impact',
@@ -389,7 +390,6 @@ const DEFAULT_ENERGY_TIMELINE_BADGE_METRICS = [
 // title and filter function for the top left most chart in the Detailed Metrics / Compare view
 const TOTAL_CHART_BOTTOM_TITLE = 'Total energy consumption';
 const TOTAL_CHART_BOTTOM_LABEL = 'Machine Energy';
-const TOTAL_CHART_UNIT = 'mJ';
 // function must return boolean
 const total_chart_bottom_condition = (metric) => {
     if(metric.match(/^.*_energy.*_machine$/) !== null) return true;
@@ -398,7 +398,6 @@ const total_chart_bottom_condition = (metric) => {
 
 // title and filter function for the top left most chart in the Detailed Metrics / Compare view
 const TOP_BAR_CHART_TITLE = 'Energy metrics'
-const TOP_BAR_CHART_UNIT = 'mJ'
 const top_bar_chart_condition = (metric) => {
     if(metric.indexOf('_energy_') !== -1) return true;
     return false;
diff --git a/frontend/js/helpers/converters.js b/frontend/js/helpers/converters.js
index 758698569..9a5a48f18 100644
--- a/frontend/js/helpers/converters.js
+++ b/frontend/js/helpers/converters.js
@@ -1,45 +1,52 @@
-const convertValue = (value, unit) => {
-    // we do not allow a dynamic rescaling here, as we need all the units we feed into
-    // to be on the same order of magnitude
+let display_in_watthours = localStorage.getItem('display_in_watthours');
+if(display_in_watthours == 'true') display_in_watthours = true;
+else display_in_watthours = false;
 
-    if (value == null) return [value, unit];
+const transformIfNotNull = (value, divide_by) => {
+    if (value == null) return null;
+    return (value / divide_by);
+}
 
-    if(unit.startsWith('ugCO2e/')) return [(value/(10**6)).toFixed(2), unit.substr(1)]
+// we do not allow a dynamic rescaling here, as we need all the units we feed into
+// to be on the same order of magnitude for comparisons and calcuations
+//
+// Function furthemore uses .substr instead of just replacing the unit, as some units have demominators like Bytes/s or
+// ugCO2e/ page request which we want to retain
+const convertValue = (value, unit) => {
 
-    switch (unit) {
-    case 'mJ':
-        return [(value / 1_000).toFixed(2), 'J'];
-        break;
-    case 'mW':
-        return [(value / 1_000).toFixed(2), 'W'];
-        break;
-    case 'Ratio':
-        return [(value / 100).toFixed(2), '%'];
-        break;
-    case 'centi°C':
-        return [(value / 100).toFixed(2), '°C'];
-        break;
-    case 'Hz':
-        return [(value / 1000000).toFixed(2), 'GHz'];
-        break;
-    case 'ns':
-        return [(value / 1_000_000_000).toFixed(2), 's'];
-        break;
-    case 'us':
-        return [(value / 1_000_000).toFixed(2), 's'];
-        break;
-    case 'ug':
-        return [(value/(10**6)).toFixed(2), 'g']
-        break;
-    case 'Bytes':
-        return [(value / 1_000_000).toFixed(2), 'MB'];
-        break;
-    case 'Bytes/s':
-        return [(value / 1_000_000).toFixed(2), 'MB/s'];
-        break;
+    const compare_unit = unit.split('/', 2)[0]
 
-    default:
-        return [value, unit];        // no conversion in default calse
+    switch (compare_unit) {
+        case 'ugCO2e':
+            return [transformIfNotNull(value, 1_000_000), unit.substr(1)]
+        case 'mJ':
+            if (display_in_watthours)
+                return [transformIfNotNull(value, 1_000 * 3_600), `Wh${unit.substr(2)}`];
+            else
+                return [transformIfNotNull(value, 1_000), unit.substr(1)];
+        case 'uJ':
+            if (display_in_watthours)
+                return [transformIfNotNull(value, 1_000_000 * 3_600), `Wh${unit.substr(2)}`];
+            else
+                return [transformIfNotNull(value, 1_000_000), unit.substr(1)];
+        case 'mW':
+            return [transformIfNotNull(value, 1_000), unit.substr(1)];
+        case 'Ratio':
+            return [transformIfNotNull(value, 100), `%${unit.substr(5)}`];
+        case 'centi°C':
+            return [transformIfNotNull(value, 100), unit.substr(5)];
+        case 'Hz':
+            return [transformIfNotNull(value, 1_000_000_000), `G${unit}`];
+        case 'ns':
+            return [transformIfNotNull(value, 1_000_000_000), unit.substr(1)];
+        case 'us':
+            return [transformIfNotNull(value, 1_000_000), unit.substr(1)];
+        case 'ug':
+            return [transformIfNotNull(value, 1_000_000), unit.substr(1)]
+        case 'Bytes':
+            return [transformIfNotNull(value, 1_000_000), `MB${unit.substr(5)}`];
+        default:
+            return [value, unit];        // no conversion in default case
     }
 }
 
diff --git a/frontend/js/helpers/metric-boxes.js b/frontend/js/helpers/metric-boxes.js
index 8f1a4598f..42a420106 100644
--- a/frontend/js/helpers/metric-boxes.js
+++ b/frontend/js/helpers/metric-boxes.js
@@ -187,24 +187,24 @@ customElements.define('phase-metrics', PhaseMetrics);
 const displaySimpleMetricBox = (phase, metric_name, metric_data, detail_name, detail_data, comparison_case)  => {
     let max_value = ''
     if (detail_data.max != null) {
-        let [max,max_unit] = convertValue(detail_data.max, metric_data.unit);
-        max_value = `${max} ${max_unit}`;
+        const [max,max_unit] = convertValue(detail_data.max, metric_data.unit);
+        max_value = `${max?.toFixed(2)} ${max_unit}`;
     }
     let min_value = ''
     if (detail_data.min != null) {
-        let [min,min_unit] = convertValue(detail_data.min, metric_data.unit);
-        min_value = `${min} ${min_unit}`;
+        const [min,min_unit] = convertValue(detail_data.min, metric_data.unit);
+        min_value = `${min?.toFixed(2)} ${min_unit}`;
     }
 
     let max_mean_value = ''
     if (detail_data.max_mean != null) {
-        let [max_mean,max_unit] = convertValue(detail_data.max_mean, metric_data.unit);
-        max_mean_value = `${max_mean} ${max_unit}`;
+        const [max_mean,max_unit] = convertValue(detail_data.max_mean, metric_data.unit);
+        max_mean_value = `${max_mean?.toFixed(2)} ${max_unit}`;
     }
     let min_mean_value = ''
     if (detail_data.min_mean != null) {
-        let [min_mean,min_unit] = convertValue(detail_data.min_mean, metric_data.unit);
-        min_mean_value = `${min_mean} ${min_unit}`;
+        const [min_mean,min_unit] = convertValue(detail_data.min_mean, metric_data.unit);
+        min_mean_value = `${min_mean?.toFixed(2)} ${min_unit}`;
     }
 
 
@@ -219,7 +219,7 @@ const displaySimpleMetricBox = (phase, metric_name, metric_data, detail_name, de
     let scope = metric_name.split('_')
     scope = scope[scope.length-1]
 
-    let [value, unit] = convertValue(detail_data.mean, metric_data.unit);
+    const [transformed_value, transformed_unit] = convertValue(detail_data.mean, metric_data.unit);
 
     let tr = document.querySelector(`div.tab[data-tab='${phase}'] table.compare-metrics-table tbody`).insertRow();
     if(comparison_case != null) {
@@ -229,14 +229,18 @@ const displaySimpleMetricBox = (phase, metric_name, metric_data, detail_name, de
             <td>${scope}</td>
             <td>${detail_name}</td>
             <td>${metric_data.type}</td>
-            <td>${value}</td>
-            <td>${unit}</td>
+            <td>${transformed_value?.toFixed(2)}</td>
+            <td>${transformed_unit}</td>
             <td>${std_dev_text_table}</td>
             <td>${max_value}</td>
             <td>${min_value}</td>
             <td>${max_mean_value}</td>
             <td>${min_mean_value}</td>
-            <td>${detail_data.sr_avg_avg.toFixed(0)} / ${detail_data.sr_95p_max.toFixed(0)} / ${detail_data.sr_max_max.toFixed(0)} ms</td>`;
+            <td>
+                <span title="${detail_data.sr_avg_avg} us">${(detail_data.sr_avg_avg/1000).toFixed(0)}</span> /
+                <span title="${detail_data.sr_95p_max} us">${(detail_data.sr_95p_max/1000).toFixed(0)}</span> /
+                <span title="${detail_data.sr_max_max} us">${(detail_data.sr_max_max/1000).toFixed(0)}</span> ms
+            </td>`;
 
     } else {
         tr.innerHTML = `
@@ -245,17 +249,21 @@ const displaySimpleMetricBox = (phase, metric_name, metric_data, detail_name, de
             <td>${scope}</td>
             <td>${detail_name}</td>
             <td>${metric_data.type}</td>
-            <td>${value}</td>
-            <td>${unit}</td>
+            <td>${transformed_value?.toFixed(2)}</td>
+            <td>${transformed_unit}</td>
             <td>${max_value}</td>
             <td>${min_value}</td>
-            <td>${detail_data.sr_avg_avg.toFixed(0)} / ${detail_data.sr_95p_max.toFixed(0)} / ${detail_data.sr_max_max.toFixed(0)} ms</td>`;
+            <td>
+                <span title="${detail_data.sr_avg_avg} us">${(detail_data.sr_avg_avg/1000).toFixed(0)}</span> /
+                <span title="${detail_data.sr_95p_max} us">${(detail_data.sr_95p_max/1000).toFixed(0)}</span> /
+                <span title="${detail_data.sr_max_max} us">${(detail_data.sr_max_max/1000).toFixed(0)}</span> ms
+            </td>`;
     }
 
 
     updateKeyMetric(
         phase, metric_name, getPretty(metric_name, 'clean_name'), detail_name,
-        value , std_dev_text, unit, detail_data.mean, metric_data.unit,
+        transformed_value.toFixed(2) , std_dev_text, transformed_unit, detail_data.mean, metric_data.unit,
         getPretty(metric_name, 'explanation'), getPretty(metric_name, 'source')
     );
 }
@@ -267,35 +275,34 @@ const displaySimpleMetricBox = (phase, metric_name, metric_data, detail_name, de
 const displayDiffMetricBox = (phase, metric_name, metric_data, detail_name, detail_data_array, is_significant)  => {
 
     // no max, we use significant rather
-    let extra_label = 'not significant / no-test';
-    if (is_significant == true) extra_label = 'Significant';
+    const extra_label = (is_significant == true) ? 'Significant' : 'not significant / no-test';
 
     // TODO: Remove this guard clause once we want to support more than 2 compared items
     if (detail_data_array.length > 2) throw "Comparions > 2 currently not implemented"
 
     // no value conversion in this block, cause we just use relatives
-    let value = 'N/A';
+    let relative_difference = 'N/A';
     if (detail_data_array[0] == 0 && detail_data_array[1] == 0) {
-        value = 0;
+        relative_difference = 0;
     } else if (detail_data_array[0] == null || detail_data_array[1] == null) {
-        value = 'not comparable';
+        relative_difference = 'not comparable';
     } else {
-       value = detail_data_array[0] == 0 ? 0: (((detail_data_array[1] - detail_data_array[0])/detail_data_array[0])*100).toFixed(2);
+       relative_difference = detail_data_array[0] == 0 ? 0: (((detail_data_array[1] - detail_data_array[0])/detail_data_array[0])*100).toFixed(2);
     }
 
     let icon_color = 'positive';
-    if (value > 0) {
+    if (relative_difference > 0) {
         icon_color = 'error';
-        value = `+ ${value} %`;
+        relative_difference = `+ ${relative_difference} %`;
     } else {
-        value = `${value} %`; // minus (-) already present in number
+        relative_difference = `${relative_difference} %`; // minus (-) already present in number
     }
 
     let scope = metric_name.split('_')
     scope = scope[scope.length-1]
 
-    let [value_1, unit] = convertValue(detail_data_array[0], metric_data.unit);
-    let [value_2, _] = convertValue(detail_data_array[1], metric_data.unit);
+    const [transformed_value_1, transformed_unit] = convertValue(detail_data_array[0], metric_data.unit);
+    const [transformed_value_2, _] = convertValue(detail_data_array[1], metric_data.unit);
 
     let tr = document.querySelector(`div.tab[data-tab='${phase}'] table.compare-metrics-table tbody`).insertRow();
     tr.innerHTML = `
@@ -304,24 +311,22 @@ const displayDiffMetricBox = (phase, metric_name, metric_data, detail_name, deta
         <td>${scope}</td>
         <td>${detail_name}</td>
         <td>${metric_data.type}</td>
-        <td>${value_1}</td>
-        <td>${value_2}</td>
-        <td>${unit}</td>
-        <td class="${icon_color}">${value}</td>
+        <td>${transformed_value_1?.toFixed(2)}</td>
+        <td>${transformed_value_2?.toFixed(2)}</td>
+        <td>${transformed_unit}</td>
+        <td class="${icon_color}">${relative_difference}</td>
         <td>${extra_label}</td>`;
 
     updateKeyMetric(
         phase, metric_name, getPretty(metric_name, 'clean_name'), detail_name,
-        value, '', metric_data.unit, null, null,
+        relative_difference, '', transformed_unit, null, null,
         getPretty(metric_name, 'explanation'), getPretty(metric_name, 'source')
     );
 
 }
 
 const calculateCO2 = (phase, total_CO2_in_ug) => {
-    let display_in_metric_units = localStorage.getItem('display_in_metric_units');
-    if(display_in_metric_units == 'true') display_in_metric_units = true;
-    else display_in_metric_units = false;
+    const display_in_metric_units = localStorage.getItem('display_in_metric_units') == 'true' ? true : false;
 
     // network via formula: https://www.green-coding.io/co2-formulas/
     let total_CO2_in_kg = total_CO2_in_ug / 1_000_000_000;
@@ -381,7 +386,7 @@ const updateKeyMetric = (phase, metric_name, clean_name, detail_name, value, std
     }
 
 
-    document.querySelector(`div.tab[data-tab='${phase}'] ${selector} .value span`).innerText = `${(value)} ${std_dev_text}`
+    document.querySelector(`div.tab[data-tab='${phase}'] ${selector} .value span`).innerText = `${value} ${std_dev_text}`
 
     document.querySelector(`div.tab[data-tab='${phase}'] ${selector} .value`).setAttribute('title', `${raw_value} [${raw_unit}]`)
 
diff --git a/frontend/js/helpers/phase-stats.js b/frontend/js/helpers/phase-stats.js
index 248fe9a6c..245984fde 100644
--- a/frontend/js/helpers/phase-stats.js
+++ b/frontend/js/helpers/phase-stats.js
@@ -179,6 +179,9 @@ const renderCompareChartsForPhase = (phase_stats_object, phase='[RUNTIME]', run_
 
     let top_bar_chart_labels = [];
     let top_bar_chart_data =  [[],[]];
+    let top_bar_chart_unit = null;
+
+    let compare_chart_unit = null;
 
     let co2_calculated = false;
 
@@ -226,12 +229,18 @@ const renderCompareChartsForPhase = (phase_stats_object, phase='[RUNTIME]', run_
 
             // we loop over all keys that exist, not over the one that are present in detail_data['data']
             phase_stats_object.comparison_identifiers.forEach((key,key_index) => {
+                const [transformed_mean, transformed_unit] = convertValue(detail_data['data'][key]?.mean, metric_data.unit)
+                const [transformed_ci, ] = convertValue(detail_data['data'][key]?.ci, metric_data.unit)
+                const transformed_values = detail_data['data'][key]?.values.map( value => convertValue(value, metric_data.unit)[0]);
+                compare_chart_unit = transformed_unit;
+
                 if(radar_chart_condition(metric_name) && phase_stats_object.comparison_identifiers.length >= 2) {
-                    radar_chart_data[key_index].push(detail_data['data'][key]?.mean)
+                    radar_chart_data[key_index].push(transformed_mean)
                 }
 
                 if (top_bar_chart_condition(metric_name)) {
-                    top_bar_chart_data[key_index].push(detail_data['data'][key]?.mean)
+                    top_bar_chart_unit = transformed_unit;
+                    top_bar_chart_data[key_index].push(transformed_mean)
                 }
 
                 if (phase_stats_object.comparison_case == null && psu_machine_carbon_metric_condition(metric_name)) {
@@ -239,17 +248,17 @@ const renderCompareChartsForPhase = (phase_stats_object, phase='[RUNTIME]', run_
                         showWarning(phase, 'CO2 was already calculated! Do you have multiple machine energy reporters set?');
                     }
                     // mean will always be present, as we only have one key and thus we need no ?.
-                    calculateCO2(phase, detail_data['data'][key].mean);
+                    calculateCO2(phase, detail_data['data'][key].mean); // must take the untransformed value, as it expects ug
                     co2_calculated = true;
                 }
 
-                metric_box_data[key_index] = detail_data['data'][key]?.mean
-                compare_chart_data.push(detail_data['data'][key]?.values)
+                metric_box_data[key_index] = transformed_mean
+                compare_chart_data.push(transformed_values)
                 compare_chart_labels.push(`${phase_stats_object.comparison_case}: ${key}`)
                 compare_chart_mark.push({
                     name:'Confidence Interval',
-                    bottom: detail_data['data'][key]?.mean-detail_data['data'][key]?.ci,
-                    top: detail_data['data'][key]?.mean+detail_data['data'][key]?.ci
+                    bottom: transformed_mean-transformed_ci,
+                    top: transformed_mean+transformed_ci
                 })
             }) // end key
 
@@ -266,7 +275,7 @@ const renderCompareChartsForPhase = (phase_stats_object, phase='[RUNTIME]', run_
                 displayCompareChart(
                     phase,
                     `${getPretty(metric_name, 'clean_name')} via ${getPretty(metric_name, 'source')} - ${detail_name} <i data-tooltip="${getPretty(metric_name, 'explanation')}" data-position="bottom center" data-inverted><i class="question circle icon link"></i></i>`,
-                    metric_data.unit,
+                    compare_chart_unit,
                     compare_chart_labels,
                     compare_chart_data,
                     compare_chart_mark,
@@ -296,7 +305,8 @@ const renderCompareChartsForPhase = (phase_stats_object, phase='[RUNTIME]', run_
         radar_legend,
         top_bar_chart_labels,
         top_bar_chart_data,
-        phase
+        phase,
+        top_bar_chart_unit,
     )
 
     // displayKeyMetricsEmbodiedCarbonChart(phase);
@@ -311,6 +321,7 @@ const buildTotalChartData = (phase_stats_object) => {
     let total_chart_bottom_data =  {};
     let total_chart_bottom_legend =  {};
     let total_chart_bottom_labels = [];
+    let transformed_total_chart_bottom_unit = null;
 
     for (const phase in phase_stats_object['data']) {
         let phase_data = phase_stats_object['data'][phase];
@@ -335,16 +346,19 @@ const buildTotalChartData = (phase_stats_object) => {
                     } else {
                         total_chart_bottom_legend[phase].push(getPretty(metric_name, 'clean_name'));
                         found_bottom_chart_metric = `${metric_name} ${detail_name}`;
+                        total_chart_bottom_unit = convertValue(0, metric_data.unit)[1]
                     }
                 }
                 // we loop over all keys that exist, not over the one that are present in detail_data['data']
                 phase_stats_object.comparison_identifiers.forEach((key,key_index) => {
+                    const [transformed_total_chart_bottom_mean, transformed_unit] = convertValue(detail_data['data'][key]?.mean, metric_data.unit)
+                    transformed_total_chart_bottom_unit = transformed_unit;
 
                     if (total_chart_bottom_condition(metric_name) && `${metric_name} ${detail_name}` == found_bottom_chart_metric) {
                         if(total_chart_bottom_data?.[`${TOTAL_CHART_BOTTOM_LABEL} - ${key}`] == null) {
                             total_chart_bottom_data[`${TOTAL_CHART_BOTTOM_LABEL} - ${key}`] = []
                         }
-                        total_chart_bottom_data[`${TOTAL_CHART_BOTTOM_LABEL} - ${key}`].push(detail_data['data'][key]?.mean)
+                        total_chart_bottom_data[`${TOTAL_CHART_BOTTOM_LABEL} - ${key}`].push(transformed_total_chart_bottom_mean)
                         bottom_chart_present_keys[key] = true
                     }
                 })
@@ -364,5 +378,5 @@ const buildTotalChartData = (phase_stats_object) => {
 
     } // end phase_stats_object['data']
 
-    return [total_chart_bottom_legend, total_chart_bottom_labels, total_chart_bottom_data];
+    return [total_chart_bottom_legend, total_chart_bottom_labels, total_chart_bottom_data, transformed_total_chart_bottom_unit];
 }
diff --git a/frontend/js/settings.js b/frontend/js/settings.js
index 0d922e0cd..fd6dd982e 100644
--- a/frontend/js/settings.js
+++ b/frontend/js/settings.js
@@ -1,27 +1,21 @@
 
-var display_in_watts = localStorage.getItem('display_in_watts');
-if(display_in_watts == 'true') display_in_watts = true;
-else display_in_watts = false;
-
-var display_in_metric_units = localStorage.getItem('display_in_metric_units');
-if(display_in_metric_units == 'true') display_in_metric_units = true;
-else display_in_metric_units = false;
-
-var fetch_time_series = localStorage.getItem('fetch_time_series');
-if(fetch_time_series == 'true') fetch_time_series = true;
-else fetch_time_series = false;
-
-var time_series_avg = localStorage.getItem('time_series_avg');
-if(time_series_avg == 'true') time_series_avg = true;
-else time_series_avg = false;
-
+const display_in_watthours = localStorage.getItem('display_in_watthours') == 'true' ? true : false;
+const transform_timelines_energy_to_power = localStorage.getItem('transform_timelines_energy_to_power') == 'true' ? true : false;
+const display_in_metric_units = localStorage.getItem('display_in_metric_units') == 'true' ? true : false;
+const fetch_time_series = localStorage.getItem('fetch_time_series') == 'true' ? true : false;
+const time_series_avg = localStorage.getItem('time_series_avg') == 'true' ? true : false;
+
+const toggleWattHours = () => {
+    localStorage.setItem('display_in_watthours', !display_in_watthours);
+    window.location.reload();
+}
 
-const toggleWatts = () => {
-    localStorage.setItem('display_in_watts', !display_in_watts);
+const toggleTimelinesEnergyPower = () => {
+    localStorage.setItem('transform_timelines_energy_to_power', !transform_timelines_energy_to_power);
     window.location.reload();
 }
 
-const toggleUnits = () => {
+const toggleMetricUnits = () => {
     localStorage.setItem('display_in_metric_units', !display_in_metric_units);
     window.location.reload();
 }
@@ -42,9 +36,12 @@ const toggleTimeSeriesAVG = () => {
     $(window).on('load', function() {
       $('.ui.secondary.menu .item').tab();
 
-      if(display_in_watts) $("#energy-display").text("Currently showing Watts");
+      if(display_in_watthours) $("#energy-display").text("Currently showing Watt-Hours");
       else $("#energy-display").text("Currently showing Joules");
 
+      if(transform_timelines_energy_to_power) $("#timeline-energy-or-power").text("Currently showing power timelines");
+      else $("#timeline-energy-or-power").text("Currently showing energy timelines");
+
       if(display_in_metric_units) $("#units-display").text("Currently showing metric units");
       else $("#units-display").text("Currently showing imperial units");
 
diff --git a/frontend/js/stats.js b/frontend/js/stats.js
index ef960992d..5c5ac6895 100644
--- a/frontend/js/stats.js
+++ b/frontend/js/stats.js
@@ -157,9 +157,7 @@ const buildTimelineChartData = async (measurements_data) => {
     const metrics = {}
     const t0 = performance.now();
 
-    let display_in_watts = localStorage.getItem('display_in_watts');
-    if(display_in_watts == 'true') display_in_watts = true;
-    else display_in_watts = false;
+    const transform_timelines_energy_to_power = localStorage.getItem('transform_timelines_energy_to_power') == 'true' ? true : false;
 
     try {
          // define here as var (not let!), so we can alert it later in error case.
@@ -194,16 +192,16 @@ const buildTimelineChartData = async (measurements_data) => {
                 }
             }
 
-            if(display_in_watts && metrics[metric_name].unit == 'J') {
+            if(transform_timelines_energy_to_power && metrics[metric_name].unit == 'J') {
                 value = value/(time_after-time_before); // convert Joules to Watts by dividing through the time difference of two measurements
                 metrics[metric_name].converted_unit = 'W';
-            } else if(!display_in_watts && metrics[metric_name].unit == 'W') {
-                value = value*(time_after-time_before); // convert Joules to Watts by dividing through the time difference of two measurements
+            } else if(!transform_timelines_energy_to_power && metrics[metric_name].unit == 'W') {
+                value = value*(time_after-time_before); // convert Watts to Joules by multiplying with the time difference of two measurements
                 metrics[metric_name].converted_unit = 'J';
             }
             time_before = time_after;
 
-            if(metric_changed && display_in_watts) return; // if watts display then the first graph value will be zero. We skip that.
+            if(metric_changed && transform_timelines_energy_to_power) return; // if watts display then the first graph value will be zero. We skip that.
 
             // Depending on the charting library the object has to be reformatted
             // First we check if structure is initialized
@@ -233,9 +231,8 @@ const displayTimelineCharts = async (metrics, notes) => {
     const chart_instances = [];
     const t0 = performance.now();
 
-    let time_series_avg = localStorage.getItem('time_series_avg');
     let markline = {};
-    if(time_series_avg == 'true') {
+    if(localStorage.getItem('time_series_avg') == 'true') {
         markline = {
                     precision: 4, // generally annoying that precision is by default 2. Wrong AVG if values are smaller than 0.001 and no autoscaling!
                     data: [ {type: "average",label: {formatter: "AVG\n(selection):\n{c}"}}]
diff --git a/frontend/settings.html b/frontend/settings.html
index e4de48f19..1dc42d98e 100644
--- a/frontend/settings.html
+++ b/frontend/settings.html
@@ -42,22 +42,27 @@ <h1 class="ui header float left"><a id="menu-toggle" class="opened"><i class="ba
                         <tr>
                           <td>Energy units</td>
                           <td><span id="energy-display"></span></td>
-                          <td><button class="ui positive small button" onclick="toggleWatts();">Toggle</button></td>
+                          <td><button class="ui positive small button" onclick="toggleWattHours();">Toggle</button></td>
                         </tr>
                         <tr>
                           <td>Distance / volume units</td>
                           <td><span id="units-display"></span></td>
-                          <td><button class="ui positive ui small button" onclick="toggleUnits();">Toggle</button></td>
+                          <td><button class="ui positive small button" onclick="toggleMetricUnits();">Toggle</button></td>
                         </tr>
                         <tr>
                           <td>Fetch time series</td>
                           <td><span id="fetch-time-series-display"></span></td>
-                          <td><button class="ui positive ui small button" onclick="toggleTimeSeries();">Toggle</button></td>
+                          <td><button class="ui positive small button" onclick="toggleTimeSeries();">Toggle</button></td>
+                        </tr>
+                        <tr>
+                          <td>Transform energy time series to power</td>
+                          <td><span id="timeline-energy-or-power"></span></td>
+                          <td><button class="ui positive small button" onclick="toggleTimelinesEnergyPower();">Toggle</button></td>
                         </tr>
                         <tr>
                           <td>Show AVG in time series<br><span><small><i class="question circle icon"></i>Note: AVG line is dynamic to current view of the chart<br> and counts ALL datapoints and not only the phase you are looking at</small></span></td>
                           <td><span id="time-series-avg-display"></span></td>
-                          <td><button class="ui positive ui small button" onclick="toggleTimeSeriesAVG();">Toggle</button></td>
+                          <td><button class="ui positive small button" onclick="toggleTimeSeriesAVG();">Toggle</button></td>
                         </tr>
                       </tbody>
                     </table>
diff --git a/lib/phase_stats.py b/lib/phase_stats.py
index c467fe31a..fd466c485 100644
--- a/lib/phase_stats.py
+++ b/lib/phase_stats.py
@@ -5,7 +5,7 @@
 import faulthandler
 faulthandler.enable(file=sys.__stderr__)  # will catch segfaults and write to stderr
 
-import decimal
+from decimal import Decimal
 from io import StringIO
 
 from lib.global_config import GlobalConfig
@@ -70,13 +70,13 @@ def build_and_store_phase_stats(run_id, sci=None):
                 WHERE measurement_metric_id = %s AND time > %s and time < %s
             )
             SELECT SUM(value), MAX(value), MIN(value), AVG(value), COUNT(value),
-                COALESCE(AVG(diff), 0)/1000.0 as sampling_rate_avg,
-                COALESCE(MAX(diff), 0)/1000.0 as sampling_rate_max,
-                COALESCE(percentile_cont(0.95) WITHIN GROUP (ORDER BY diff), 0)/1000.0 AS sampling_rate_95p
+                COALESCE(AVG(diff), 0)::int as sampling_rate_avg,
+                COALESCE(MAX(diff), 0)::int as sampling_rate_max,
+                COALESCE(percentile_cont(0.95) WITHIN GROUP (ORDER BY diff), 0)::int AS sampling_rate_95p
             FROM lag_table
         """
 
-        duration = phase['end']-phase['start']
+        duration = Decimal(phase['end']-phase['start'])
         duration_in_s = duration / 1_000_000
         csv_buffer.write(generate_csv_line(run_id, 'phase_time_syscall_system', '[SYSTEM]', f"{idx:03}_{phase['name']}", duration, 'TOTAL', None, None, 0, 0, 0, 'us'))
 
@@ -105,6 +105,16 @@ def build_and_store_phase_stats(run_id, sci=None):
             # This can happen if the phase is too short
             if value_count == 0: continue
 
+            # we make everything Decimal so in subsequent divisions these values stay Decimal
+            value_sum = Decimal(value_sum)
+            max_value = Decimal(max_value)
+            min_value = Decimal(min_value)
+            value_count = Decimal(value_count)
+            sampling_rate_avg = Decimal(sampling_rate_avg)
+            sampling_rate_max = Decimal(sampling_rate_max)
+            sampling_rate_95p = Decimal(sampling_rate_95p)
+
+
             if metric in (
                 'lmsensors_temperature_component',
                 'lmsensors_fan_component',
@@ -127,8 +137,17 @@ def build_and_store_phase_stats(run_id, sci=None):
             elif metric in ['network_io_cgroup_container', 'network_io_procfs_system', 'disk_io_procfs_system', 'disk_io_cgroup_container', 'disk_io_bytesread_powermetrics_vm', 'disk_io_byteswritten_powermetrics_vm']:
                 # I/O values should be per second. However we have very different timing intervals.
                 # So we do not directly use the average here, as this would be the average per sampling frequency. We go through the duration
-                provider_conversion_factor_to_s = decimal.Decimal(sampling_rate_avg/1_000_000)
-                csv_buffer.write(generate_csv_line(run_id, metric, detail_name, f"{idx:03}_{phase['name']}", avg_value/provider_conversion_factor_to_s, 'MEAN', max_value/provider_conversion_factor_to_s, min_value/provider_conversion_factor_to_s, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, f"{unit}/s"))
+                if sampling_rate_avg == 0:
+                    max_value_per_s = 0
+                    min_value_per_s = 0
+                    avg_value_per_s = 0
+                else:
+                    provider_conversion_factor_to_s = Decimal(sampling_rate_avg)/1_000_000
+                    max_value_per_s = max_value/provider_conversion_factor_to_s
+                    min_value_per_s = min_value/provider_conversion_factor_to_s
+                    avg_value_per_s = avg_value/provider_conversion_factor_to_s
+
+                csv_buffer.write(generate_csv_line(run_id, metric, detail_name, f"{idx:03}_{phase['name']}", avg_value_per_s, 'MEAN', max_value_per_s, min_value_per_s, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, f"{unit}/s"))
 
                 # we also generate a total line to see how much total data was processed
                 csv_buffer.write(generate_csv_line(run_id, metric.replace('_io_', '_total_'), detail_name, f"{idx:03}_{phase['name']}", value_sum, 'TOTAL', None, None, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, unit))
@@ -136,17 +155,18 @@ def build_and_store_phase_stats(run_id, sci=None):
                 if metric == 'network_io_cgroup_container': # save to calculate CO2 later. We do this only for the cgroups. Not for the system to not double count
                     network_bytes_total.append(value_sum)
 
-            elif "_energy_" in metric and unit == 'mJ':
+            elif "_energy_" in metric and unit == 'uJ':
                 csv_buffer.write(generate_csv_line(run_id, metric, detail_name, f"{idx:03}_{phase['name']}", value_sum, 'TOTAL', None, None, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, unit))
                 # for energy we want to deliver an extra value, the watts.
                 # Here we need to calculate the average differently
-                power_avg = (value_sum * 10**6) / duration
-                power_max = (max_value * 10**6) / (duration / value_count)
-                power_min = (min_value * 10**6) / (duration / value_count)
+                power_avg = (value_sum * 10**3) / duration
+                power_max = (max_value * 10**3) / (duration / value_count)
+                power_min = (min_value * 10**3) / (duration / value_count)
                 csv_buffer.write(generate_csv_line(run_id, f"{metric.replace('_energy_', '_power_')}", detail_name, f"{idx:03}_{phase['name']}", power_avg, 'MEAN', power_max, power_min, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, 'mW'))
 
                 if metric.endswith('_machine') and sci.get('I', None) is not None:
-                    machine_carbon_in_ug = decimal.Decimal((value_sum / 3_600) * sci['I'])
+                    machine_carbon_in_ug = (value_sum / 3_600_000) * Decimal(sci['I'])
+
                     csv_buffer.write(generate_csv_line(run_id, f"{metric.replace('_energy_', '_carbon_')}", detail_name, f"{idx:03}_{phase['name']}", machine_carbon_in_ug, 'TOTAL', None, None, sampling_rate_avg, sampling_rate_max, sampling_rate_95p, 'ug'))
 
                     if phase['name'] == '[BASELINE]':
@@ -165,29 +185,29 @@ def build_and_store_phase_stats(run_id, sci=None):
             # build the network energy
             # network via formula: https://www.green-coding.io/co2-formulas/
             # pylint: disable=invalid-name
-            network_io_in_kWh = float(sum(network_bytes_total) / 1_000_000_000) * 0.002651650429449553
-            network_io_in_mJ = network_io_in_kWh * 3_600_000_000
-            csv_buffer.write(generate_csv_line(run_id, 'network_energy_formula_global', '[FORMULA]', f"{idx:03}_{phase['name']}", decimal.Decimal(network_io_in_mJ), 'TOTAL', None, None, 0.0, 0.0, 0.0, 'mJ'))
+            network_io_in_kWh = Decimal(sum(network_bytes_total)) / 1_000_000_000 * Decimal(0.002651650429449553)
+            network_io_in_uJ = network_io_in_kWh * 3_600_000_000_000
+            csv_buffer.write(generate_csv_line(run_id, 'network_energy_formula_global', '[FORMULA]', f"{idx:03}_{phase['name']}", network_io_in_uJ, 'TOTAL', None, None, 0, 0, 0, 'uJ'))
             # co2 calculations
-            network_io_carbon_in_ug = decimal.Decimal(network_io_in_kWh * config['sci']['I'] * 1_000_000)
-            csv_buffer.write(generate_csv_line(run_id, 'network_carbon_formula_global', '[FORMULA]', f"{idx:03}_{phase['name']}", network_io_carbon_in_ug, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'ug'))
+            network_io_carbon_in_ug = network_io_in_kWh * Decimal(config['sci']['I']) * 1_000_000
+            csv_buffer.write(generate_csv_line(run_id, 'network_carbon_formula_global', '[FORMULA]', f"{idx:03}_{phase['name']}", network_io_carbon_in_ug, 'TOTAL', None, None, 0, 0, 0, 'ug'))
         else:
-            network_io_carbon_in_ug = decimal.Decimal(0)
+            network_io_carbon_in_ug = 0
 
         if sci.get('EL', None) is not None and sci.get('TE', None) is not None and sci.get('RS', None) is not None:
             duration_in_years = duration_in_s / (60 * 60 * 24 * 365)
-            embodied_carbon_share_g = (duration_in_years / sci['EL'] ) * sci['TE'] * sci['RS']
-            embodied_carbon_share_ug = decimal.Decimal(embodied_carbon_share_g * 1_000_000)
-            csv_buffer.write(generate_csv_line(run_id, 'embodied_carbon_share_machine', '[SYSTEM]', f"{idx:03}_{phase['name']}", embodied_carbon_share_ug, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'ug'))
+            embodied_carbon_share_g = (duration_in_years / Decimal(sci['EL']) ) * Decimal(sci['TE']) * Decimal(sci['RS'])
+            embodied_carbon_share_ug = Decimal(embodied_carbon_share_g * 1_000_000)
+            csv_buffer.write(generate_csv_line(run_id, 'embodied_carbon_share_machine', '[SYSTEM]', f"{idx:03}_{phase['name']}", embodied_carbon_share_ug, 'TOTAL', None, None, 0, 0, 0, 'ug'))
 
         if phase['name'] == '[RUNTIME]' and machine_carbon_in_ug is not None and sci is not None and sci.get('R', 0) != 0:
-            csv_buffer.write(generate_csv_line(run_id, 'software_carbon_intensity_global', '[SYSTEM]', f"{idx:03}_{phase['name']}", (machine_carbon_in_ug + embodied_carbon_share_ug + network_io_carbon_in_ug) / sci['R'], 'TOTAL', None, None, 0.0, 0.0, 0.0, f"ugCO2e/{sci['R_d']}"))
+            csv_buffer.write(generate_csv_line(run_id, 'software_carbon_intensity_global', '[SYSTEM]', f"{idx:03}_{phase['name']}", (machine_carbon_in_ug + embodied_carbon_share_ug + network_io_carbon_in_ug) / Decimal(sci['R']), 'TOTAL', None, None, 0, 0, 0, f"ugCO2e/{sci['R_d']}"))
 
         if machine_power_baseline and cpu_utilization_machine and cpu_utilization_containers:
             surplus_power_runtime = machine_power_phase - machine_power_baseline
-            surplus_energy_runtime = machine_energy_phase - (machine_power_baseline * decimal.Decimal(duration / 10**6)) # we do not subtract phase energy here but calculate, becuase phases have different length
+            surplus_energy_runtime = machine_energy_phase - (machine_power_baseline * (Decimal(duration) / 1_000_000)) # we do not subtract phase energy here but calculate, becuase phases have different length
 
-            total_container_utilization = sum(cpu_utilization_containers.values())
+            total_container_utilization = Decimal(sum(cpu_utilization_containers.values()))
 
             for detail_name, container_utilization in cpu_utilization_containers.items():
                 if int(total_container_utilization) == 0:
@@ -195,10 +215,10 @@ def build_and_store_phase_stats(run_id, sci=None):
                 else:
                     splitting_ratio = container_utilization / total_container_utilization
 
-                csv_buffer.write(generate_csv_line(run_id, 'psu_energy_cgroup_slice', detail_name, f"{idx:03}_{phase['name']}", machine_energy_phase * splitting_ratio, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'mJ'))
-                csv_buffer.write(generate_csv_line(run_id, 'psu_power_cgroup_slice', detail_name, f"{idx:03}_{phase['name']}", machine_power_phase * splitting_ratio, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'mW'))
-                csv_buffer.write(generate_csv_line(run_id, 'psu_energy_cgroup_container', detail_name, f"{idx:03}_{phase['name']}", surplus_energy_runtime * splitting_ratio, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'mJ'))
-                csv_buffer.write(generate_csv_line(run_id, 'psu_power_cgroup_container', detail_name, f"{idx:03}_{phase['name']}", surplus_power_runtime * splitting_ratio, 'TOTAL', None, None, 0.0, 0.0, 0.0, 'mW'))
+                csv_buffer.write(generate_csv_line(run_id, 'psu_energy_cgroup_slice', detail_name, f"{idx:03}_{phase['name']}", machine_energy_phase * splitting_ratio, 'TOTAL', None, None, 0, 0, 0, 'uJ'))
+                csv_buffer.write(generate_csv_line(run_id, 'psu_power_cgroup_slice', detail_name, f"{idx:03}_{phase['name']}", machine_power_phase * splitting_ratio, 'TOTAL', None, None, 0, 0, 0, 'mW'))
+                csv_buffer.write(generate_csv_line(run_id, 'psu_energy_cgroup_container', detail_name, f"{idx:03}_{phase['name']}", surplus_energy_runtime * splitting_ratio, 'TOTAL', None, None, 0, 0, 0, 'uJ'))
+                csv_buffer.write(generate_csv_line(run_id, 'psu_power_cgroup_container', detail_name, f"{idx:03}_{phase['name']}", surplus_power_runtime * splitting_ratio, 'TOTAL', None, None, 0, 0, 0, 'mW'))
 
     csv_buffer.seek(0)  # Reset buffer position to the beginning
     DB().copy_from(
diff --git a/metric_providers/base.py b/metric_providers/base.py
index 53418dcbe..948ca5755 100644
--- a/metric_providers/base.py
+++ b/metric_providers/base.py
@@ -142,17 +142,14 @@ def _add_and_validate_resolution_and_jitter(self, df):
         excluded_columns = ['time', 'value']
         grouping_columms = [col for col in df.columns if col not in excluded_columns]
         df['sampling_rate'] = df.groupby(grouping_columms)['time'].diff()
-        df['sampling_rate_max'] = df.groupby(grouping_columms)['sampling_rate'].transform('max')
-        df['sampling_rate_avg'] = df.groupby(grouping_columms)['sampling_rate'].transform('mean')
         df['sampling_rate_95p'] = df.groupby(grouping_columms)['sampling_rate'].transform(lambda x: x.quantile(0.95))
         df = df.drop('sampling_rate', axis=1)
 
-        if (resolution_95p := df['sampling_rate_95p'].max()) >= self._resolution*1000*1.2:
-            raise RuntimeError(f"Effective sampling resolution (95p) was absurdly high: {resolution_95p} compared to target resolution of {self._resolution*1000}", df)
-
-        if (resolution_95p := df['sampling_rate_95p'].min()) <= self._resolution*1000*0.8:
-            raise RuntimeError(f"Effective sampling resolution (95p) was absurdly low: {resolution_95p} compared to target resolution of {self._resolution*1000}", df)
+        if (sampling_rate_95p := df['sampling_rate_95p'].max()) >= self._resolution*1000*1.2:
+            raise RuntimeError(f"Effective sampling rate (95p) was absurdly high: {sampling_rate_95p} compared to target rate of {self._resolution*1000}", df)
 
+        if (sampling_rate_95p := df['sampling_rate_95p'].min()) <= self._resolution*1000*0.8:
+            raise RuntimeError(f"Effective sampling rate (95p) was absurdly low: {sampling_rate_95p} compared to target rate of {self._resolution*1000}", df)
 
         return df
 
diff --git a/metric_providers/cpu/energy/rapl/msr/component/provider.py b/metric_providers/cpu/energy/rapl/msr/component/provider.py
index 39c30a3e5..13831805a 100644
--- a/metric_providers/cpu/energy/rapl/msr/component/provider.py
+++ b/metric_providers/cpu/energy/rapl/msr/component/provider.py
@@ -9,7 +9,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='cpu_energy_rapl_msr_component',
             metrics={'time': int, 'value': int, 'package_id': str},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
diff --git a/metric_providers/cpu/energy/rapl/msr/component/source.c b/metric_providers/cpu/energy/rapl/msr/component/source.c
index bfee9246c..d3a4e0eee 100644
--- a/metric_providers/cpu/energy/rapl/msr/component/source.c
+++ b/metric_providers/cpu/energy/rapl/msr/component/source.c
@@ -475,11 +475,11 @@ static void rapl_msr(int measurement_mode) {
             if(energy_output>=0) {
                 gettimeofday(&now, NULL);
                 if (measurement_mode == MEASURE_ENERGY_PKG) {
-                    printf("%ld%06ld %ld Package_%d\n", now.tv_sec, now.tv_usec, (long int)(energy_output*1000), k);
+                    printf("%ld%06ld %lld Package_%d\n", now.tv_sec, now.tv_usec, (long long)(energy_output*1000000), k);
                 } else if (measurement_mode == MEASURE_DRAM) {
-                    printf("%ld%06ld %ld DRAM_%d\n", now.tv_sec, now.tv_usec, (long int)(energy_output*1000), k);
+                    printf("%ld%06ld %lld DRAM_%d\n", now.tv_sec, now.tv_usec, (long long)(energy_output*1000000), k);
                 } else if (measurement_mode == MEASURE_PSYS) {
-                    printf("%ld%06ld %ld PSYS_%d\n", now.tv_sec, now.tv_usec, (long int)(energy_output*1000), k);
+                    printf("%ld%06ld %lld PSYS_%d\n", now.tv_sec, now.tv_usec, (long long)(energy_output*1000000), k);
                 }
             }
             /*
diff --git a/metric_providers/gpu/energy/nvidia/smi/component/provider.py b/metric_providers/gpu/energy/nvidia/smi/component/provider.py
index ad2c3c8da..f1cf3bdc3 100644
--- a/metric_providers/gpu/energy/nvidia/smi/component/provider.py
+++ b/metric_providers/gpu/energy/nvidia/smi/component/provider.py
@@ -8,7 +8,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='gpu_energy_nvidia_smi_component',
             metrics={'time': int, 'value': int},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             metric_provider_executable='metric-provider-nvidia-smi-wrapper.sh',
             skip_check=skip_check,
@@ -45,8 +45,8 @@ def _parse_metrics(self, df):
         df.dropna(inplace=True)
 
         df['interval'] = intervals  # in microseconds
-        # value is initially in milliWatts. So we just divide by 1_000_000
-        df['value'] = df.apply(lambda x: x['value'] * x['interval'] / 1_000_000, axis=1)
+        # value is initially in milliWatts. So we multiply by 1_000 to get uW and then divide by 1_000_000 to get from us to s  => / 1_000
+        df['value'] = df.apply(lambda x: x['value'] * x['interval'] / 1_000, axis=1)
         df['value'] = df.value.astype(int)
 
         df = df.drop(columns='interval')  # clean up
diff --git a/metric_providers/memory/energy/rapl/msr/component/provider.py b/metric_providers/memory/energy/rapl/msr/component/provider.py
index 5d05dbbdc..2da166320 100644
--- a/metric_providers/memory/energy/rapl/msr/component/provider.py
+++ b/metric_providers/memory/energy/rapl/msr/component/provider.py
@@ -9,7 +9,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='memory_energy_rapl_msr_component',
             metrics={'time': int, 'value': int, 'dram_id': str},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
diff --git a/metric_providers/powermetrics/provider.py b/metric_providers/powermetrics/provider.py
index d31ed9cf2..e5b0e9449 100644
--- a/metric_providers/powermetrics/provider.py
+++ b/metric_providers/powermetrics/provider.py
@@ -18,7 +18,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='powermetrics',
             metrics={'time': int, 'value': int},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             metric_provider_executable='/usr/bin/powermetrics',
             sudo=True,
@@ -149,8 +149,8 @@ def _read_metrics(self):
 
             cum_time = cum_time + data['elapsed_ns']
 
-            # we want microjoule. Therefore / 10**9 to get seconds and the values are already in mW
-            conversion_factor = data['elapsed_ns'] / 1_000_000_000
+            # we want microjoule. Therefore / 10**6 to get milli-seconds and the values are already in mW => ms * mW = uJ
+            power_to_uJ = data['elapsed_ns'] / 1_000_000
             cum_time_ms = int(cum_time / 1_000)
 
             # coalitions gives us a list so we need to find the named entry
@@ -186,38 +186,38 @@ def _read_metrics(self):
 
             if 'cpu_power' in data['processor']:
                 dfs.append([cum_time_ms,
-                            int(float(data['processor']['cpu_power']) * conversion_factor),
+                            int(float(data['processor']['cpu_power']) * power_to_uJ),
                            'cores_energy_powermetrics_component',
                            '[COMPONENT]',
-                           'mJ'])
+                           'uJ'])
 
             if 'package_joules' in data['processor']:
                 dfs.append([cum_time_ms,
-                            int(float(data['processor']['package_joules']) * 1000),
+                            int(float(data['processor']['package_joules']) * 1_000_000),
                            'cpu_energy_powermetrics_component',
                            '[COMPONENT]',
-                           'mJ'])
+                           'uJ'])
 
             if 'gpu_power' in data['processor']:
                 dfs.append([cum_time_ms,
-                            int(float(data['processor']['gpu_power']) * conversion_factor),
+                            int(float(data['processor']['gpu_power']) * power_to_uJ),
                             'gpu_energy_powermetrics_component',
                             '[COMPONENT]',
-                            'mJ'])
+                            'uJ'])
 
             #if 'combined_power' in data['processor']:
             #    dfs.append([cum_time_ms,
-            #                int(float(data['processor']['combined_power']) * conversion_factor),
+            #                int(float(data['processor']['combined_power']) * power_to_uJ),
             #                'system_combined_power',
             #                '[COMPONENT]',
-            #                'mJ'])
+            #                'uJ'])
 
             if 'ane_power' in data['processor']:
                 dfs.append([cum_time_ms,
-                            int(float(data['processor']['ane_power']) * conversion_factor),
+                            int(float(data['processor']['ane_power']) * power_to_uJ),
                             'ane_energy_powermetrics_component',
                             '[COMPONENT]',
-                            'mJ'])
+                            'uJ'])
 
         df = pandas.DataFrame.from_records(dfs, columns=['time', 'value', 'metric', 'detail_name', 'unit'])
 
diff --git a/metric_providers/psu/energy/ac/gude/machine/check_gude_modified.py b/metric_providers/psu/energy/ac/gude/machine/check_gude_modified.py
index 0c3765e9c..ee854d8cf 100755
--- a/metric_providers/psu/energy/ac/gude/machine/check_gude_modified.py
+++ b/metric_providers/psu/energy/ac/gude/machine/check_gude_modified.py
@@ -24,10 +24,10 @@ def main(resolution):
 
         # print(data) # DEBUG
         timestamp_after = time.time_ns()
-        effective_sleep_time = timestamp_after - timestamp_before
-        # print(effective_sleep_time / 1_000_000_000) # DEBUG
-        # we want microjoule. Therefore / 10**9 to get seconds and then * 10**3 to get mJ
-        conversion_factor = effective_sleep_time / 1_000_000
+        effective_sleep_time_ns = timestamp_after - timestamp_before
+        # print(effective_sleep_time_ns / 1_000_000_000) # DEBUG
+        # we want microjoule. Therefore / 10**6 to get to micro-seconds
+        conversion_factor = effective_sleep_time_ns / 1_000
         print(int(timestamp_after / 1_000), int(data['sensor_values']
               [0]['values'][0][4]['v'] * conversion_factor), flush=True)
 
diff --git a/metric_providers/psu/energy/ac/gude/machine/provider.py b/metric_providers/psu/energy/ac/gude/machine/provider.py
index 929022d71..bf51676d3 100644
--- a/metric_providers/psu/energy/ac/gude/machine/provider.py
+++ b/metric_providers/psu/energy/ac/gude/machine/provider.py
@@ -10,7 +10,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='psu_energy_ac_gude_machine',
             metrics={'time': int, 'value': int},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
diff --git a/metric_providers/psu/energy/ac/mcp/machine/provider.py b/metric_providers/psu/energy/ac/mcp/machine/provider.py
index c56d89c11..27fe7a4d9 100644
--- a/metric_providers/psu/energy/ac/mcp/machine/provider.py
+++ b/metric_providers/psu/energy/ac/mcp/machine/provider.py
@@ -8,7 +8,7 @@ def __init__(self, resolution, skip_check=False):
             metric_name='psu_energy_ac_mcp_machine',
             metrics={'time': int, 'value': int},
             resolution=resolution,
-            unit="mJ",
+            unit="uJ",
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
@@ -40,7 +40,7 @@ def _parse_metrics(self, df):
         df.dropna(inplace=True)
 
         df['interval'] = intervals  # in microseconds
-        df['value'] = df.apply(lambda x: x['value'] * x['interval'] / 1_000_00, axis=1) # value is in centiwatts, so divide by 1_000_00 instead of 1_000 as we would do for Watts
+        df['value'] = df.apply(lambda x: x['value'] * x['interval'] / 1_00, axis=1) # value is in centiwatts (0.01 W), so divide by 1_00 to get Watts and multiply with us to get micro-Joules
         df['value'] = df.value.astype(int)
 
         df = df.drop(columns='interval')  # clean up
diff --git a/metric_providers/psu/energy/ac/powerspy2/machine/metric-provider.py b/metric_providers/psu/energy/ac/powerspy2/machine/metric-provider.py
index 7a4866ac6..96254a263 100755
--- a/metric_providers/psu/energy/ac/powerspy2/machine/metric-provider.py
+++ b/metric_providers/psu/energy/ac/powerspy2/machine/metric-provider.py
@@ -9,7 +9,7 @@
     parser.add_argument('--debug', action='store_true', help='Print device communication')
     parser.add_argument('--device', default='/dev/rfcomm0', help='RFCOMM device to connect to')
     parser.add_argument('--interval', '-i', type=int, default=1000, help='Measurement interval in number of ms')
-    parser.add_argument('--unit', '-u', default='mW', help='Specify the unit. [mW, W, mJ, J]')
+    parser.add_argument('--unit', '-u', default='mW', help='Specify the unit. [mW, W, mJ, uJ, J]')
 
     args = parser.parse_args()
 
diff --git a/metric_providers/psu/energy/ac/powerspy2/machine/powerspy2.py b/metric_providers/psu/energy/ac/powerspy2/machine/powerspy2.py
index 095329ae0..361c3c2ea 100755
--- a/metric_providers/psu/energy/ac/powerspy2/machine/powerspy2.py
+++ b/metric_providers/psu/energy/ac/powerspy2/machine/powerspy2.py
@@ -171,8 +171,13 @@ def measurePowerRealtime(self, milliseconds, unit='mW', use_package_time=False):
                             rmsPower = rmsPower * conversion_factor
                         else:
                             rmsPower = rmsPower * milliseconds
+                    elif unit == 'uJ':
+                        if use_package_time:
+                            rmsPower = rmsPower * 1_000 * conversion_factor
+                        else:
+                            rmsPower = rmsPower * 1_000 * milliseconds
                     else:
-                        raise ValueError("Unit needs to be mW, W, J or mJ")
+                        raise ValueError("Unit needs to be mW, W, J, uJ or mJ")
 
                 # We have no real way of showing which unit the output is. The user will need to take care of this!
                 sys.stdout.buffer.write(f"{int(time.time_ns()/ 1000)} {int(rmsPower)}\n".encode())
diff --git a/metric_providers/psu/energy/ac/powerspy2/machine/provider.py b/metric_providers/psu/energy/ac/powerspy2/machine/provider.py
index 801bc8545..4fa9570f7 100755
--- a/metric_providers/psu/energy/ac/powerspy2/machine/provider.py
+++ b/metric_providers/psu/energy/ac/powerspy2/machine/provider.py
@@ -7,12 +7,12 @@ def __init__(self, resolution, skip_check=False):
             metric_name="psu_energy_ac_powerspy2_machine",
             metrics={"time": int, "value": int},
             resolution=resolution,
-            unit="mJ",
+            unit="uJ",
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             metric_provider_executable="metric-provider.py",
             skip_check=skip_check,
         )
-        self._extra_switches = ['-u','mJ']
+        self._extra_switches = ['-u','uJ']
 
     def check_system(self, check_command="default", check_error_message=None, check_parallel_provider=True):
         super().check_system(check_command=None)
diff --git a/metric_providers/psu/energy/ac/sdia/machine/provider.py b/metric_providers/psu/energy/ac/sdia/machine/provider.py
index 94ba20459..8d8045b84 100644
--- a/metric_providers/psu/energy/ac/sdia/machine/provider.py
+++ b/metric_providers/psu/energy/ac/sdia/machine/provider.py
@@ -9,7 +9,7 @@ def __init__(self, *, resolution, CPUChips, TDP, skip_check=False, filename=None
             metric_name='psu_energy_ac_sdia_machine',
             metrics={'time': int, 'value': int},
             resolution=resolution,
-            unit='mJ',
+            unit='uJ',
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
@@ -66,6 +66,10 @@ def _read_metrics(self):
 
         return super()._read_metrics()
 
+    # SDIA Provider does only use CPU utilization as an input metric and thus cannot actually suffer from an underflow
+    def _check_resolution_underflow(self, df):
+        pass
+
     def _parse_metrics(self, df):
         df = super()._parse_metrics(df)
 
@@ -73,7 +77,7 @@ def _parse_metrics(self, df):
         # And then again at the end multiply with 1000 to get mW. We take the
         # shortcut and just mutiply the 0.65 ratio from the SDIA by 10 -> 6.5
         df.value = ((df.value * self.tdp) / 6.5) * self.cpu_chips # will result in mW
-        df.value = (df.value * df.time.diff()) / 1_000_000 # mW * us / 1_000_000 will result in mJ
+        df.value = (df.value * df.time.diff()) / 1_000 # mW * us / 1_000 will result in uJ
 
         # we checked at ingest if it contains NA values. So NA can only occur if group diff resulted in only one value.
         # Since one value is useless for us we drop the row
diff --git a/metric_providers/psu/energy/ac/xgboost/machine/provider.py b/metric_providers/psu/energy/ac/xgboost/machine/provider.py
index 0564e5e33..c4586db22 100644
--- a/metric_providers/psu/energy/ac/xgboost/machine/provider.py
+++ b/metric_providers/psu/energy/ac/xgboost/machine/provider.py
@@ -16,7 +16,7 @@ def __init__(self, resolution, *, HW_CPUFreq, CPUChips, CPUThreads, TDP,
             metric_name="psu_energy_ac_xgboost_machine",
             metrics={"time": int, "value": int},
             resolution=resolution,
-            unit="mJ",
+            unit="uJ",
             current_dir=os.path.dirname(os.path.abspath(__file__)),
             skip_check=skip_check,
         )
@@ -61,6 +61,10 @@ def _read_metrics(self):
 
         return super()._read_metrics()
 
+    # Cloud-Energy does only use CPU utilization as an input metric and thus cannot actually suffer from an underflow
+    def _check_resolution_underflow(self, df):
+        pass
+
     def _parse_metrics(self, df):
 
         df = super()._parse_metrics(df)
@@ -92,7 +96,7 @@ def _parse_metrics(self, df):
         df.value = df.value.apply(lambda x: interpolated_predictions[x / 100])  # will result in W
         df.value = df.value*self.VHost_Ratio  # apply vhost_ratio
 
-        df.value = (df.value * df.time.diff()) / 1_000 # W * us / 1_000 will result in mJ
+        df.value = df.value * df.time.diff() # W * us will result in uJ
 
         # we checked at ingest if it contains NA values. So NA can only occur if group diff resulted in only one value.
         # Since one value is useless for us we drop the row
diff --git a/migrations/2024_12_24_measurement_table_split.sql b/migrations/2024_12_24_measurement_table_split.sql
index ca9dfdc24..0be7b2377 100644
--- a/migrations/2024_12_24_measurement_table_split.sql
+++ b/migrations/2024_12_24_measurement_table_split.sql
@@ -1,3 +1,5 @@
+UPDATE measurements SET value = value * 1000, unit = 'uJ' WHERE unit = 'mJ';
+
 CREATE TABLE measurement_metrics (
     id SERIAL PRIMARY KEY,
     run_id uuid NOT NULL REFERENCES runs(id) ON DELETE CASCADE ON UPDATE CASCADE,
@@ -38,7 +40,16 @@ ON
     AND m.detail_name = mm.detail_name
     AND m.unit = mm.unit;
 
+DROP TABLE measurements;
+
 ALTER TABLE phase_stats
-    ADD COLUMN "sampling_rate_avg" DOUBLE PRECISION NOT NULL,
-    ADD COLUMN "sampling_rate_max" DOUBLE PRECISION NOT NULL,
-    ADD COLUMN "sampling_rate_95p" DOUBLE PRECISION NOT NULL;
+    ADD COLUMN "sampling_rate_avg" int,
+    ADD COLUMN "sampling_rate_max" int,
+    ADD COLUMN "sampling_rate_95p" int;
+
+UPDATE phase_stats SET sampling_rate_avg = 0, sampling_rate_max = 0, sampling_rate_95p = 0;
+
+ALTER TABLE "public"."phase_stats"
+    ALTER COLUMN "sampling_rate_avg" SET NOT NULL,
+    ALTER COLUMN "sampling_rate_max" SET NOT NULL,
+    ALTER COLUMN "sampling_rate_95p" SET NOT NULL;
diff --git a/tests/.coverage b/tests/.coverage
new file mode 100644
index 000000000..d1fade3d7
Binary files /dev/null and b/tests/.coverage differ
diff --git a/tests/.coveragerc b/tests/.coveragerc
new file mode 100644
index 000000000..bfbacf7cb
--- /dev/null
+++ b/tests/.coveragerc
@@ -0,0 +1,2 @@
+[run]
+dynamic_context = test_function
diff --git a/tests/.testmondata b/tests/.testmondata
new file mode 100644
index 000000000..2d5dd77ea
Binary files /dev/null and b/tests/.testmondata differ
diff --git a/tests/api/test_api_helpers.py b/tests/api/test_api_helpers.py
index 9cbc26ba8..eda9c8be2 100644
--- a/tests/api/test_api_helpers.py
+++ b/tests/api/test_api_helpers.py
@@ -29,8 +29,6 @@ def test_rescale_metric_value():
 
     assert api_helpers.rescale_metric_value(10000, 'uJ') == [10, 'mJ']
 
-    assert api_helpers.rescale_metric_value(10000, 'mJ') == [10, 'J']
-
     assert api_helpers.rescale_metric_value(324_000_000_000, 'uJ') == [324, 'kJ']
 
     assert api_helpers.rescale_metric_value(324_000_000_000, 'ugCO2e/Page Request') == [324, 'kgCO2e/Page Request']
@@ -46,7 +44,8 @@ def test_rescale_metric_value():
     with pytest.raises(ValueError):
         api_helpers.rescale_metric_value(100, 'uj')
 
-
+    with pytest.raises(ValueError):
+        assert api_helpers.rescale_metric_value(10000, 'mJ') == [10, 'J']
 
 def test_escape_dict():
     messy_dict = {"link": '<a href="http://www.github.com">Click me</a>'}
diff --git a/tests/data/metrics/cpu_energy_rapl_msr_component.log b/tests/data/metrics/cpu_energy_rapl_msr_component.log
index 9e05be538..8c68740fb 100644
--- a/tests/data/metrics/cpu_energy_rapl_msr_component.log
+++ b/tests/data/metrics/cpu_energy_rapl_msr_component.log
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diff --git a/tests/data/metrics/network_io_procfs_system.log b/tests/data/metrics/network_io_procfs_system.log
new file mode 100644
index 000000000..706240379
--- /dev/null
+++ b/tests/data/metrics/network_io_procfs_system.log
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\ No newline at end of file
diff --git a/tests/frontend/test_frontend.py b/tests/frontend/test_frontend.py
index d279b5614..e823caff7 100644
--- a/tests/frontend/test_frontend.py
+++ b/tests/frontend/test_frontend.py
@@ -214,6 +214,9 @@ def test_stats():
     first_unit = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(1) > td:nth-child(7)").text_content()
     assert first_unit.strip() == 's'
 
+    first_sr = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(1) > td:nth-child(10)").text_content().replace(" ","")
+    assert first_sr.strip() == '0/\n0/\n0ms'
+
     machine_power_metric = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(10) > td:nth-child(1)").text_content()
     assert machine_power_metric.strip() == 'Machine Power'
 
@@ -223,6 +226,27 @@ def test_stats():
     machine_power_unit = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(10) > td:nth-child(7)").text_content()
     assert machine_power_unit.strip() == 'W'
 
+    machine_power_sr = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(10) > td:nth-child(10)").text_content().replace(" ","")
+    assert machine_power_sr.strip() == '99/\n100/\n101ms'
+
+    network_io_metric = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(7) > td:nth-child(1)").text_content()
+    assert network_io_metric.strip() == 'Network I/O'
+
+    network_io_value = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(7) > td:nth-child(6)").text_content()
+    assert network_io_value.strip() == '0.07'
+
+    network_io_unit = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(7) > td:nth-child(7)").text_content()
+    assert network_io_unit.strip() == 'MB/s'
+
+    network_traffic_metric = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(8) > td:nth-child(1)").text_content()
+    assert network_traffic_metric.strip() == 'Network Traffic'
+
+    network_traffic_value = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(8) > td:nth-child(6)").text_content()
+    assert network_traffic_value.strip() == '0.37'
+
+    network_traffic_unit = new_page.locator("#runtime-steps > div.ui.bottom.attached.active.tab.segment > div.ui.segment.secondary > phase-metrics > div.ui.accordion > div.content.active > table > tbody > tr:nth-child(8) > td:nth-child(7)").text_content()
+    assert network_traffic_unit.strip() == 'MB'
+
 
     # click on baseline
     new_page.locator('a.step[data-tab="[BASELINE]"]').click()
diff --git a/tests/lib/test_metric_importer.py b/tests/lib/test_metric_importer.py
index d14d31656..efcf1f0e0 100644
--- a/tests/lib/test_metric_importer.py
+++ b/tests/lib/test_metric_importer.py
@@ -32,7 +32,7 @@ def test_import_machine_energy():
     result = results[0]
 
     assert result[0] == len(measurement_lines)
-    assert math.isclose(result[1], 2921.3863, rel_tol=1e-5), 'AVG value not in expected range'
+    assert math.isclose(result[1], 2921883.6776, rel_tol=1e-5), 'AVG value not in expected range'
 
 
 def test_import_cpu_energy():
@@ -46,4 +46,4 @@ def test_import_cpu_energy():
     result = results[0]
 
     assert result[0] == len(measurement_lines)
-    assert math.isclose(result[1], 1194.5976, rel_tol=1e-5), 'AVG value not in expected range'
+    assert math.isclose(result[1], 1194597.6086, rel_tol=1e-5), 'AVG value not in expected range'
diff --git a/tests/lib/test_phase_stats.py b/tests/lib/test_phase_stats.py
index 0c00f03c3..884cd5aeb 100644
--- a/tests/lib/test_phase_stats.py
+++ b/tests/lib/test_phase_stats.py
@@ -1,5 +1,4 @@
 import os
-import math
 
 GMT_ROOT_DIR = os.path.dirname(os.path.abspath(__file__))+'/../../'
 
@@ -7,8 +6,7 @@
 from lib.db import DB
 from lib.phase_stats import build_and_store_phase_stats
 
-MILLIJOULES_TO_KWH = 2.77778e-10
-MICROJOULES_TO_KWH = 2.77778e-13
+MICROJOULES_TO_KWH = 1/(3_600*1_000_000_000)
 
 def test_phase_stats_single_energy():
     run_id = Tests.insert_run()
@@ -24,29 +22,30 @@ def test_phase_stats_single_energy():
     assert data[0]['unit'] == 'us'
     assert data[0]['value'] == Tests.TEST_MEASUREMENT_END_TIME - Tests.TEST_MEASUREMENT_START_TIME
     assert data[0]['type'] == 'TOTAL'
-    assert math.isclose(data[0]['sampling_rate_avg'], 0, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[0]['sampling_rate_max'], 0.0, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[0]['sampling_rate_95p'], 0.0, rel_tol=1e-5), '95p sampling rate not in expected range'
+    assert data[0]['sampling_rate_avg'] == 0, 'AVG sampling rate not in expected range'
+    assert data[0]['sampling_rate_max'] == 0, 'MAX sampling rate not in expected range'
+    assert data[0]['sampling_rate_95p'] == 0, '95p sampling rate not in expected range'
 
 
     assert data[1]['metric'] == 'psu_energy_ac_mcp_machine'
     assert data[1]['detail_name'] == '[machine]'
-    assert data[1]['unit'] == 'mJ'
-    assert data[1]['value'] == 13175452
+    assert data[1]['unit'] == 'uJ'
+    assert data[1]['value'] == 13177695386
     assert data[1]['type'] == 'TOTAL'
-    assert math.isclose(data[1]['sampling_rate_avg'], 101.67376, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_max'], 107.613, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_95p'], 104.67055, rel_tol=1e-5), '95p sampling rate not in expected range'
+    assert data[1]['sampling_rate_avg'] == 101674, 'AVG sampling rate not in expected range'
+    assert data[1]['sampling_rate_max'] == 107613, 'MAX sampling rate not in expected range'
+    assert data[1]['sampling_rate_95p'] == 104671, '95p sampling rate not in expected range'
+    assert isinstance(data[1]['sampling_rate_95p'], int)
 
     assert data[2]['metric'] == 'psu_power_ac_mcp_machine'
     assert data[2]['detail_name'] == '[machine]'
     assert data[2]['unit'] == 'mW'
-    assert data[2]['value'] == 28033
+    assert data[2]['value'] == 28038
     assert data[2]['type'] == 'MEAN'
-    assert math.isclose(data[2]['sampling_rate_avg'], 101.67376, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[2]['sampling_rate_max'], 107.613, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[2]['sampling_rate_95p'], 104.67055, rel_tol=1e-5), '95p sampling rate not in expected range'
-
+    assert data[2]['sampling_rate_avg'] == 101674, 'AVG sampling rate not in expected range'
+    assert data[2]['sampling_rate_max'] == 107613, 'MAX sampling rate not in expected range'
+    assert data[2]['sampling_rate_95p'] == 104671, '95p sampling rate not in expected range'
+    assert isinstance(data[2]['sampling_rate_95p'], int)
 
 def test_phase_stats_single_cgroup():
     run_id = Tests.insert_run()
@@ -63,9 +62,10 @@ def test_phase_stats_single_cgroup():
     assert data[0]['value'] == Tests.TEST_MEASUREMENT_END_TIME - Tests.TEST_MEASUREMENT_START_TIME
     assert data[0]['type'] == 'TOTAL'
 
-    assert math.isclose(data[1]['sampling_rate_avg'], 99.37357, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_max'], 100.688, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_95p'],  99.6960, rel_tol=1e-5), '95p sampling rate not in expected range'
+    assert data[1]['sampling_rate_avg'] == 99374, 'AVG sampling rate not in expected range'
+    assert data[1]['sampling_rate_max'] == 100688, 'MAX sampling rate not in expected range'
+    assert data[1]['sampling_rate_95p'] == 99696, '95p sampling rate not in expected range'
+    assert isinstance(data[1]['sampling_rate_95p'], int)
 
 def test_phase_stats_multi():
     run_id = Tests.insert_run()
@@ -80,14 +80,13 @@ def test_phase_stats_multi():
     assert len(data) == 7
     assert data[1]['metric'] == 'cpu_energy_rapl_msr_component'
     assert data[1]['phase'] == '004_[RUNTIME]'
-    assert data[1]['value'] == 5495149
+    assert data[1]['value'] == 5495149000
     assert data[1]['type'] == 'TOTAL'
-    assert data[1]['unit'] == 'mJ'
+    assert data[1]['unit'] == 'uJ'
     assert data[1]['detail_name'] == 'Package_0'
-    assert math.isclose(data[1]['sampling_rate_avg'], 99.2167, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_max'], 107.827, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[1]['sampling_rate_95p'],  99.486, rel_tol=1e-5), '95p sampling rate not in expected range'
-
+    assert data[1]['sampling_rate_avg'] == 99217, 'AVG sampling rate not in expected range'
+    assert data[1]['sampling_rate_max'] == 107827, 'MAX sampling rate not in expected range'
+    assert data[1]['sampling_rate_95p'] ==  99486, '95p sampling rate not in expected range'
 
     assert data[2]['metric'] == 'cpu_power_rapl_msr_component'
     assert data[2]['phase'] == '004_[RUNTIME]'
@@ -95,10 +94,9 @@ def test_phase_stats_multi():
     assert data[2]['type'] == 'MEAN'
     assert data[2]['unit'] == 'mW'
     assert data[2]['detail_name'] == 'Package_0'
-    assert math.isclose(data[2]['sampling_rate_avg'], 99.2167, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[2]['sampling_rate_max'], 107.827, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[2]['sampling_rate_95p'],  99.486, rel_tol=1e-5), '95p sampling rate not in expected range'
-
+    assert data[2]['sampling_rate_avg'] == 99217, 'AVG sampling rate not in expected range'
+    assert data[2]['sampling_rate_max'] == 107827, 'MAX sampling rate not in expected range'
+    assert data[2]['sampling_rate_95p'] ==  99486, '95p sampling rate not in expected range'
 
     assert data[3]['metric'] == 'cpu_utilization_cgroup_container'
     assert data[3]['phase'] == '004_[RUNTIME]'
@@ -106,10 +104,9 @@ def test_phase_stats_multi():
     assert data[3]['type'] == 'MEAN'
     assert data[3]['unit'] == 'Ratio'
     assert data[3]['detail_name'] == 'Arne'
-    assert math.isclose(data[3]['sampling_rate_avg'], 99.37357, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[3]['sampling_rate_max'], 100.688, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[3]['sampling_rate_95p'],  99.696, rel_tol=1e-5), '95p sampling rate not in expected range'
-
+    assert data[3]['sampling_rate_avg'] == 99374, 'AVG sampling rate not in expected range'
+    assert data[3]['sampling_rate_max'] == 100688, 'MAX sampling rate not in expected range'
+    assert data[3]['sampling_rate_95p'] ==  99696, '95p sampling rate not in expected range'
 
     assert data[4]['metric'] == 'cpu_utilization_cgroup_container'
     assert data[4]['phase'] == '004_[RUNTIME]'
@@ -117,10 +114,9 @@ def test_phase_stats_multi():
     assert data[4]['type'] == 'MEAN'
     assert data[4]['unit'] == 'Ratio'
     assert data[4]['detail_name'] == 'Not-Arne'
-    assert math.isclose(data[3]['sampling_rate_avg'], 99.37357, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(data[3]['sampling_rate_max'], 100.688, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(data[3]['sampling_rate_95p'],  99.696, rel_tol=1e-5), '95p sampling rate not in expected range'
-
+    assert data[3]['sampling_rate_avg'] == 99374, 'AVG sampling rate not in expected range'
+    assert data[3]['sampling_rate_max'] == 100688, 'MAX sampling rate not in expected range'
+    assert data[3]['sampling_rate_95p'] ==  99696, '95p sampling rate not in expected range'
 
 def test_phase_embodied_and_operational_carbon():
     run_id = Tests.insert_run()
@@ -142,7 +138,7 @@ def test_phase_embodied_and_operational_carbon():
     assert psu_carbon_ac_mcp_machine['detail_name'] == '[machine]'
     assert psu_carbon_ac_mcp_machine['unit'] == 'ug'
 
-    operational_carbon_expected = int(psu_energy_ac_mcp_machine['value'] * MILLIJOULES_TO_KWH * sci['I'] * 1_000_000)
+    operational_carbon_expected = int(psu_energy_ac_mcp_machine['value'] * MICROJOULES_TO_KWH * sci['I'] * 1_000_000)
     assert psu_carbon_ac_mcp_machine['value'] == operational_carbon_expected
     assert psu_carbon_ac_mcp_machine['type'] == 'TOTAL'
 
@@ -156,6 +152,42 @@ def test_phase_embodied_and_operational_carbon():
     assert embodied_carbon_share_machine['value'] == embodied_carbon_expected
     assert embodied_carbon_share_machine['type'] == 'TOTAL'
 
-    assert math.isclose(embodied_carbon_share_machine['sampling_rate_avg'], 0.0, rel_tol=1e-5), 'AVG sampling rate not in expected range'
-    assert math.isclose(embodied_carbon_share_machine['sampling_rate_max'], 0.0, rel_tol=1e-5), 'MAX sampling rate not in expected range'
-    assert math.isclose(embodied_carbon_share_machine['sampling_rate_95p'],  0.0, rel_tol=1e-5), '95p sampling rate not in expected range'
+    assert embodied_carbon_share_machine['sampling_rate_avg'] == 0, 'AVG sampling rate not in expected range'
+    assert embodied_carbon_share_machine['sampling_rate_max'] == 0, 'MAX sampling rate not in expected range'
+    assert embodied_carbon_share_machine['sampling_rate_95p'] == 0, '95p sampling rate not in expected range'
+    assert isinstance(embodied_carbon_share_machine['sampling_rate_avg'], int)
+
+def test_phase_stats_single_network_procfs():
+    run_id = Tests.insert_run()
+    Tests.import_network_io_procfs(run_id)
+
+    build_and_store_phase_stats(run_id)
+
+    data = DB().fetch_all('SELECT metric, detail_name, unit, value, type, sampling_rate_avg, sampling_rate_max, sampling_rate_95p FROM phase_stats WHERE phase = %s ', params=('004_[RUNTIME]', ), fetch_mode='dict')
+
+    assert len(data) == 23
+    assert data[1]['metric'] == 'network_io_procfs_system'
+    assert data[1]['detail_name'] == 'br-3d6ff3fb0904'
+    assert data[1]['value'] == 649004
+    assert data[1]['sampling_rate_avg'] == 99482, 'AVG sampling rate not in expected range'
+    assert data[1]['sampling_rate_max'] == 105929, 'MAX sampling rate not in expected range'
+    assert data[1]['sampling_rate_95p'] == 100488, '95p sampling rate not in expected range'
+    assert isinstance(data[1]['sampling_rate_95p'], int)
+
+    assert data[3]['metric'] == 'network_io_procfs_system'
+    assert data[3]['detail_name'] == 'br-6062a8cb12d5'
+    assert data[3]['value'] == 403
+
+    assert data[3]['sampling_rate_avg'] == 99476, 'AVG sampling rate not in expected range'
+    assert data[3]['sampling_rate_max'] == 105929, 'MAX sampling rate not in expected range'
+    assert data[3]['sampling_rate_95p'] == 100465, '95p sampling rate not in expected range'
+    assert isinstance(data[3]['sampling_rate_95p'], int)
+
+    assert data[5]['metric'] == 'network_io_procfs_system'
+    assert data[5]['detail_name'] == 'docker0'
+    assert data[5]['value'] == 0
+
+    assert data[5]['sampling_rate_avg'] == 99476, 'AVG sampling rate not in expected range'
+    assert data[5]['sampling_rate_max'] == 105929, 'MAX sampling rate not in expected range'
+    assert data[5]['sampling_rate_95p'] == 100465, '95p sampling rate not in expected range'
+    assert isinstance(data[5]['sampling_rate_95p'], int)
diff --git a/tests/metric_providers/test_metric_provider_functions.py b/tests/metric_providers/test_metric_provider_functions.py
index 91596dc22..e0c1fed5f 100644
--- a/tests/metric_providers/test_metric_provider_functions.py
+++ b/tests/metric_providers/test_metric_provider_functions.py
@@ -35,7 +35,7 @@ def test_value_resolution_underflow():
 
     with pytest.raises(ValueError) as e:
         obj.read_metrics()
-    assert str(e.value) == "Data from metric provider cpu_energy_rapl_msr_component is running into a resolution underflow. Values are <= 1 mJ"
+    assert str(e.value) == "Data from metric provider cpu_energy_rapl_msr_component is running into a resolution underflow. Values are <= 1 uJ"
 
 def test_tcpdump_linux():
     obj = NetworkConnectionsTcpdumpSystemProvider(1000, skip_check=True)
@@ -81,4 +81,4 @@ def test_cloud_energy():
 
     assert df.metric.unique() == ['psu_energy_ac_xgboost_machine']
 
-    assert math.isclose(df[df.metric == 'psu_energy_ac_xgboost_machine'].value.mean(), 10055.48076, rel_tol=1e-5)
+    assert df[df.metric == 'psu_energy_ac_xgboost_machine'].value.mean() == 10055978
diff --git a/tests/metric_providers/test_metric_providers.py b/tests/metric_providers/test_metric_providers.py
index c9468cb84..b4e0e65d5 100644
--- a/tests/metric_providers/test_metric_providers.py
+++ b/tests/metric_providers/test_metric_providers.py
@@ -66,7 +66,7 @@ def test_splitting_by_group():
     if utils.get_architecture() == 'macos':
         return
 
-    obj = NetworkIoProcfsSystemProvider(100, remove_virtual_interfaces=False)
+    obj = NetworkIoProcfsSystemProvider(1000, remove_virtual_interfaces=False)
 
     actual_network_interface = utils.get_network_interfaces(mode='physical')[0]
     with tempfile.NamedTemporaryFile(delete=True) as temp_file:
diff --git a/tests/smoke_test.py b/tests/smoke_test.py
index fecb40fae..f94d75678 100644
--- a/tests/smoke_test.py
+++ b/tests/smoke_test.py
@@ -65,13 +65,13 @@ def test_db_rows_are_written_and_presented():
     run_id = utils.get_run_data(RUN_NAME)['id']
     assert(run_id is not None and run_id != '')
     query = """
-            SELECT
-                metric, COUNT(*) as count
-            FROM
-                measurements
-            WHERE run_id = %s
+            SELECT mm.metric, COUNT(mm.id) as count
+            FROM measurement_metrics as mm
+            JOIN measurement_values as mv
+            ON mm.id = mv.measurement_metric_id
+            WHERE mm.run_id = %s
             GROUP BY
-                metric
+                mm.metric
             """
     data = DB().fetch_all(query, (run_id,))
     assert(data is not None and data != [])
diff --git a/tests/test_functions.py b/tests/test_functions.py
index 6434cdd27..ef45b0f9b 100644
--- a/tests/test_functions.py
+++ b/tests/test_functions.py
@@ -9,12 +9,13 @@
 from metric_providers.cpu.utilization.cgroup.container.provider import CpuUtilizationCgroupContainerProvider
 from metric_providers.psu.energy.ac.mcp.machine.provider import PsuEnergyAcMcpMachineProvider
 from metric_providers.cpu.energy.rapl.msr.component.provider import CpuEnergyRaplMsrComponentProvider
+from metric_providers.network.io.procfs.system.provider import NetworkIoProcfsSystemProvider
 
 CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
 
 TEST_MEASUREMENT_CONTAINERS = {'bb0ea912f295ab0d8b671caf061929de9bb8b106128c071d6a196f9b6c05cd98': {'name': 'Arne'}, 'f78f0ca43069836d975f2bd4c45724227bbc71fc4788e60b33a77f1494cd2e0c': {'name': 'Not-Arne'}}
 TEST_MEASUREMENT_START_TIME = 1735047190000000
-TEST_MEASUREMENT_END_TIME = 1735047660000000
+TEST_MEASUREMENT_END_TIME = 1735996789871827
 TEST_MEASUREMENT_DURATION = TEST_MEASUREMENT_END_TIME - TEST_MEASUREMENT_START_TIME
 TEST_MEASUREMENT_DURATION_S = TEST_MEASUREMENT_DURATION / 1_000_000
 TEST_MEASUREMENT_DURATION_H = TEST_MEASUREMENT_DURATION_S/60/60
@@ -58,6 +59,17 @@ def import_machine_energy(run_id):
 
     return df
 
+def import_network_io_procfs(run_id):
+
+    obj = NetworkIoProcfsSystemProvider(99, skip_check=True, remove_virtual_interfaces=False)
+
+    obj._filename = os.path.join(CURRENT_DIR, 'data/metrics/network_io_procfs_system.log')
+    df = obj.read_metrics()
+
+    metric_importer.import_measurements(df, 'network_io_procfs_system', run_id)
+
+    return df
+
 def import_cpu_energy(run_id):
 
     obj = CpuEnergyRaplMsrComponentProvider(99, skip_check=True)
diff --git a/tools/calibrate.py b/tools/calibrate.py
index 6a800e1a1..9115cbc3a 100755
--- a/tools/calibrate.py
+++ b/tools/calibrate.py
@@ -215,7 +215,7 @@ def check_energy_values(data, timing_start, timing_end, provider_interval, mode)
     std_value = data['value'].std()
 
     if len(data['value']) < 3:
-        raise SystemExit(f"Not enough data points for idle time calculation (amount: {len(data['value'])}; Std: {round(std_value,2)} mJ). Please extend the idle time duration. {data}")
+        raise SystemExit(f"Not enough data points for idle time calculation (amount: {len(data['value'])}; Std: {round(std_value,2)} uJ). Please extend the idle time duration. {data}")
 
     threshold = STD_THRESHOLD_MULTI * std_value
 
@@ -226,9 +226,9 @@ def check_energy_values(data, timing_start, timing_end, provider_interval, mode)
         logging.error(f"""here are outliers in your {mode} data or the StdDev is > 3%. It looks like your system is not in a stable state!
                         Please make sure that the are no jobs running in the background. Aborting!""")
         logging.info('\n%s', data)
-        logging.info('Mean Energy: %s mJ', round(mean_value,2))
+        logging.info('Mean Energy: %s uJ', round(mean_value,2))
         logging.info('Mean Power: %s W', round(mean_value/provider_interval,2))
-        logging.info('Std. Dev: %s mJ', round(std_value,2))
+        logging.info('Std. Dev: %s uJ', round(std_value,2))
         logging.info('Std. Dev (rel): %s %%', round((std_value / mean_value) * 100,2))
         logging.info('Allowed threshold: %s', threshold)
         logging.info('Outliers: %s', outliers)
@@ -237,9 +237,9 @@ def check_energy_values(data, timing_start, timing_end, provider_interval, mode)
             raise SystemExit('System not stable.')
 
     logging.info(f"{GREEN}System {mode} measurement successful{NC}")
-    logging.info('Mean Energy: %s mJ', round(mean_value,2))
+    logging.info('Mean Energy: %s uJ', round(mean_value,2))
     logging.info('Mean Power: %s W', round(mean_value/provider_interval,2))
-    logging.info('Std. Dev: %s mJ', round(std_value,2))
+    logging.info('Std. Dev: %s uJ', round(std_value,2))
     logging.info('Std. Dev (rel): %s %%', round((std_value / mean_value) * 100,2))
     logging.info('----------------------------------------------------------')
 
@@ -278,7 +278,7 @@ def check_configured_provider_energy_overhead(mp, energy_provider_key, idle_time
 
     logging.info(f"{GREEN}Provider idle energy overhead measurement successful.{NC}")
 
-    logging.info(f"Idle Energy overhead is: {energy_all_mean_value - energy_baseline_mean_value} mJ")
+    logging.info(f"Idle Energy overhead is: {energy_all_mean_value - energy_baseline_mean_value} uJ")
     logging.info(f"Idle Energy overhead (rel.): {((energy_all_mean_value - energy_baseline_mean_value) / energy_baseline_mean_value) * 100} %")
     logging.info(f"Idle Power overhead is: {(energy_all_mean_value - energy_baseline_mean_value) / provider_interval} W")
     logging.info('-----------------------------------------------------------------------------------------')
@@ -311,13 +311,13 @@ def check_values(data):
             display_value = mean_value / 100
             display_max = max_value / 100
             display_std = std_value / 100
-        elif group.iloc[0]['unit'] == 'mJ':
+        elif group.iloc[0]['unit'] == 'uJ':
             display_unit = group.iloc[0]['unit']
             display_value = mean_value
             display_max = max_value
             display_std = std_value
         else:
-            raise SystemExit(f"Unknown unit detected for {name}: {group.iloc[0]['unit']}; Only expecting mJ and centi°C.")
+            raise SystemExit(f"Unknown unit detected for {name}: {group.iloc[0]['unit']}; Only expecting uJ and centi°C.")
 
 
         threshold = STD_THRESHOLD_MULTI * std_value
@@ -449,7 +449,7 @@ def get_cooldown_time(data):
 
     logging.info(f"{GREEN}Provider effective energy overhead measurement successful.{NC}")
 
-    logging.info(f"Peak system energy is: {energy_stress_mean_value} mJ")
+    logging.info(f"Peak system energy is: {energy_stress_mean_value} uJ")
     logging.info(f"Peak system power is: {energy_stress_mean_value / provider_interval} W")
 
     logging.info(f"Effective energy overhead (rel.) is: {((energy_all_mean_value - energy_baseline_mean_value) / (energy_stress_mean_value - energy_baseline_mean_value)) * 100} %")