diff --git a/cosmo/monitors/dark_data_models.py b/cosmo/monitors/dark_data_models.py
new file mode 100644
index 0000000..4edae6d
--- /dev/null
+++ b/cosmo/monitors/dark_data_models.py
@@ -0,0 +1,51 @@
+import pandas as pd
+import os
+from glob import glob
+from monitorframe.datamodel import BaseDataModel
+
+from ..filesystem import find_files, data_from_exposures
+from .. import SETTINGS
+
+FILES_SOURCE = SETTINGS['filesystem']['source']
+
+
+class DarkDataModel(BaseDataModel):
+    cosmo_layout = False
+    program_id = ['15771', '15533/', '14940/', '14520/', '14436/', '13968/', '13521/', '13121/', '12716/', '12423/',
+                  '11895/']
+    # subdir_pattern = '?????'
+
+    def get_new_data(self):
+        header_request = {
+            0: ['ROOTNAME', 'SEGMENT'],
+            1: ['EXPTIME', 'EXPSTART']
+        }
+
+        table_request = {
+            1: ['PHA', 'XCORR', 'YCORR', 'TIME'],
+            3: ['TIME', 'LATITUDE', 'LONGITUDE']
+        }
+
+        files = []
+
+        for prog_id in self.program_id:
+
+            new_files_source = os.path.join(FILES_SOURCE, prog_id)
+            files += find_files('*corrtag*', data_dir=new_files_source)
+
+        if self.model is not None:
+            currently_ingested = [item.FILENAME for item in self.model.select(self.model.FILENAME)]
+
+            for file in currently_ingested:
+                files.remove(file)
+
+        if not files:   # No new files
+            return pd.DataFrame()
+
+        data_results = data_from_exposures(
+            files,
+            header_request=header_request,
+            table_request=table_request
+        )
+
+        return data_results
diff --git a/cosmo/monitors/dark_monitors.py b/cosmo/monitors/dark_monitors.py
new file mode 100644
index 0000000..4d01a10
--- /dev/null
+++ b/cosmo/monitors/dark_monitors.py
@@ -0,0 +1,156 @@
+from typing import Any
+
+import numpy as np
+import plotly.graph_objs as go
+import pandas as pd
+
+from itertools import repeat
+
+from monitorframe.monitor import BaseMonitor
+from .data_models import FUVDarkDataModel
+from ..monitor_helpers import explode_df, absolute_time
+from .. import SETTINGS
+
+COS_MONITORING = SETTINGS['output']
+
+
+def dark_filter(df_row, filter_pha, location):
+    good_pha = (2, 23)
+    time_step = 25
+    time_bins = df_row['TIME_3'][::time_step]
+    lat = df_row['LATITUDE'][::time_step][:-1]
+    lon = df_row['LONGITUDE'][::time_step][:-1]
+    event_df = df_row[['SEGMENT', 'XCORR', 'YCORR', 'PHA', 'TIME']].to_frame().T
+    event_df = explode_df(event_df, ['XCORR', 'YCORR', 'PHA', 'TIME'])
+    npix = (location[1] - location[0]) * (location[3] - location[2])
+    index = np.where((event_df['XCORR'] > location[0]) &
+                     (event_df['XCORR'] < location[1]) &
+                     (event_df['YCORR'] > location[2]) &
+                     (event_df['YCORR'] < location[3]))
+    filtered_row = event_df.iloc[index].reset_index(drop=True)
+
+    if filter_pha:
+        filtered_row = filtered_row[(filtered_row['PHA'] > good_pha[0]) & (filtered_row['PHA'] < good_pha[1])]
+
+    counts = np.histogram(filtered_row.TIME, bins=time_bins)[0]
+
+    date = absolute_time(
+        expstart=list(repeat(df_row['EXPSTART'], len(time_bins))), time=time_bins.tolist()
+    ).to_datetime()[:-1]
+
+    dark_rate = counts / npix / time_step
+
+    return pd.DataFrame({'segment': df_row['SEGMENT'], 'darks': [dark_rate], 'date': [date],
+                        'ROOTNAME': df_row['ROOTNAME']})
+
+
+class FUVDarkMonitor(BaseMonitor):
+    """Abstracted FUV Dark Monitor. Not meant to be used directly but rather inherited by specific segment and region
+    dark monitors"""
+    labels = ['ROOTNAME']
+    output = COS_MONITORING
+    docs = "https://spacetelescope.github.io/cosmo/monitors.html#fuv-dark-rate-monitors"
+    segment = None
+    location = None
+    plottype = 'scatter'
+    x = 'date'
+    y = 'darks'
+
+    def get_data(self) -> Any:
+        filtered_rows = []
+        for _, row in self.model.new_data.iterrows():
+            if row.EXPSTART == 0:
+                continue
+            if row.SEGMENT == self.segment:
+                filtered_rows.append(dark_filter(row, True, self.location))
+        filtered_df = pd.concat(filtered_rows).reset_index(drop=True)
+
+        return explode_df(filtered_df, ['darks', 'date'])
+
+    def store_results(self):
+        # TODO: Define results to store
+        pass
+
+    def track(self):
+        # TODO: Define something to track
+        pass
+
+
+class FUVABottomDarkMonitor(FUVDarkMonitor):
+    """FUVA dark monitor for bottom edge"""
+    data_model = FUVDarkDataModel
+    segment = 'FUVA'
+    location = (1060, 15250, 296, 375)
+    name = f'FUVA Dark Monitor - Bottom'
+
+
+class FUVALeftDarkMonitor(FUVDarkMonitor):
+    """FUVA dark monitor for left edge"""
+    name = 'FUVA Dark Monitor - Left'
+    data_model = FUVDarkDataModel
+    segment = 'FUVA'
+    location = (1060, 1260, 296, 734)
+
+
+class FUVATopDarkMonitor(FUVDarkMonitor):
+    """FUVA dark monitor for top edge"""
+    name = 'FUVA Dark Monitor - Top'
+    data_model = FUVDarkDataModel
+    segment = 'FUVA'
+    location = (1060, 15250, 660, 734)
+
+
+class FUVARightDarkMonitor(FUVDarkMonitor):
+    """FUVA dark monitor for right edge"""
+    name = 'FUVA Dark Monitor - Right'
+    data_model = FUVDarkDataModel
+    segment = 'FUVA'
+    location = (15119, 15250, 296, 734)
+
+
+class FUVAInnerDarkMonitor(FUVDarkMonitor):
+    """FUVA dark monitor for inner region"""
+    name = 'FUVA Dark Monitor - Inner'
+    data_model = FUVDarkDataModel
+    segment = 'FUVA'
+    location = (1260, 15119, 375, 660)
+
+
+class FUVBBottomDarkMonitor(FUVDarkMonitor):
+    """FUVB dark monitor for bottom edge"""
+    name = 'FUVB Dark Monitor - Bottom'
+    data_model = FUVDarkDataModel
+    segment = 'FUVB'
+    location = (809, 15182, 360, 405)
+
+
+class FUVBLeftDarkMonitor(FUVDarkMonitor):
+    """FUVB dark monitor for left edge"""
+    name = 'FUVB Dark Monitor - Left'
+    data_model = FUVDarkDataModel
+    segment = 'FUVB'
+    location = (809, 1000, 360, 785)
+
+
+class FUVBTopDarkMonitor(FUVDarkMonitor):
+    """FUVB dark monitor for top edge"""
+    name = 'FUVB Dark Monitor - Top'
+    data_model = FUVDarkDataModel
+    segment = 'FUVB'
+    location = (809, 15182, 740, 785)
+
+
+class FUVBRightDarkMonitor(FUVDarkMonitor):
+    """FUVB dark monitor for right edge"""
+    name = 'FUVB Dark Monitor - Right'
+    data_model = FUVDarkDataModel
+    segment = 'FUVB'
+    location = (14990, 15182, 360, 785)
+
+
+class FUVBInnerDarkMonitor(FUVDarkMonitor):
+    """FUVB dark monitor for inner region"""
+    name = 'FUVB Dark Monitor - Inner'
+    data_model = FUVDarkDataModel
+    segment = 'FUVB'
+    location = (1000, 14990, 405, 740)
diff --git a/cosmo/monitors/data_models.py b/cosmo/monitors/data_models.py
index 503251e..650754c 100644
--- a/cosmo/monitors/data_models.py
+++ b/cosmo/monitors/data_models.py
@@ -1,5 +1,7 @@
 import pandas as pd
 import numpy as np
+import os
+from glob import glob
 
 from typing import List
 from monitorframe.datamodel import BaseDataModel
@@ -192,3 +194,50 @@ def get_new_data(self):
         data_results = data_results.replace([np.inf, -np.inf], np.nan).dropna().reset_index(drop=True)
 
         return data_results[~data_results.EXPTYPE.str.contains('ACQ|DARK|FLAT')]
+
+
+class FUVDarkDataModel(BaseDataModel):
+    files_source = FILES_SOURCE
+    cosmo_layout = False
+
+    """program_ids = ['15771/', '15533/', '14940/', '14520/', '14436/', '13968/', '13521/', '13121/', '12716/', '12423/',
+                   '11895/']"""
+    program_ids = ['15771/', '15533/']
+
+    primary_key = 'ROOTNAME'
+
+    def get_new_data(self):
+        """Retrieve data"""
+        header_request = {
+            0: ['ROOTNAME', 'SEGMENT'],
+            1: ['EXPTIME', 'EXPSTART']
+        }
+
+        table_request = {
+            1: ['PHA', 'XCORR', 'YCORR', 'TIME'],
+            3: ['TIME', 'LATITUDE', 'LONGITUDE']
+        }
+
+        files = []
+
+        for prog_id in self.program_ids:
+
+            new_files_source = os.path.join(FILES_SOURCE, prog_id)
+            files += find_files('*corrtag*', data_dir=new_files_source, subdir_pattern=None)
+
+        if self.model is not None:
+            currently_ingested = [item.FILENAME for item in self.model.select(self.model.FILENAME)]
+
+            for file in currently_ingested:
+                files.remove(file)
+
+        if not files:   # No new files
+            return pd.DataFrame()
+
+        data_results = data_from_exposures(
+            files,
+            header_request=header_request,
+            table_request=table_request
+        )
+
+        return data_results