diff --git a/fishbook/frontend/relacs_classes.py b/fishbook/frontend/relacs_classes.py
index 505b7c5..2c2dc6f 100644
--- a/fishbook/frontend/relacs_classes.py
+++ b/fishbook/frontend/relacs_classes.py
@@ -1,5 +1,5 @@
 from .frontend_classes import Dataset, RePro, Stimulus
-from .util import BoltzmannFit, unzip_if_needed, gaussian_kernel, zero_crossings, spike_times_to_rate
+from .util import BoltzmannFit, unzip_if_needed, gaussian_kernel, zero_crossings, spike_times_to_rate, StimSpikesFile
 import numpy as np
 import nixio as nix
 from scipy.stats import circstd
@@ -638,18 +638,23 @@ class FileStimulusData:
         self.__repros = None
         self.__cell = dataset.cells[0]  # Beware: Assumption that there is only a single cell
         self.__all_spikes = None
+        self.__stimspikes = None
         self._get_data()
 
+
     def _get_data(self):
         if not self.__dataset:
             return
+        print("Find FileStimulus repro runs in this dataset!")
         self.__repros, _ = RePro.find("FileStimulus", cell_id=self.__cell.id)
+        if not self.__dataset.has_nix:
+            self.__stimspikes = StimSpikesFile(self.__dataset.data_source)
         for r in self.__repros:
             if self.__dataset.has_nix:
                 spikes, contrasts, stims, delays, durations = self.__read_spike_data_from_nix(r)
             else:
-                spikes, contrasts, stims, delays, durations = self.__read_spike_data_from_directory(r) # TODO
-            if spikes is not None and len(spikes) > 1:
+                spikes, contrasts, stims, delays, durations = self.__read_spike_data_from_directory(r)
+            if spikes is not None and len(spikes) > 0:
                 self.__spike_data.extend(spikes)
                 self.__contrasts.extend(contrasts)
                 self.__stimuli.extend(stims)
@@ -659,19 +664,35 @@ class FileStimulusData:
                 continue
 
     def __find_contrast(self, repro_settings, stimulus_settings, has_nix=True):
+        def read_contrast(str, has_nix):
+            if has_nix:
+                return float(str.split("+")[0]) * 100
+            else:
+                return float(str[:-1])
+        
         contrast = 0.0
+        if "project" in repro_settings.keys():
+            repro_settings = repro_settings["project"]
+        elif "Project" in repro_settings.keys():
+            repro_settings = repro_settings["Project"]
         for k in repro_settings.keys():
             if k.lower() == "contrast":
-                contrast = float(repro_settings[k].split("+")[0]) * (100 if has_nix else 1)
-            
-        if contrast < 0.00001:
+                contrast = read_contrast(repro_settings[k], has_nix)
+        
+        # fall back to the stimulus settings only for those when the contrast is zero in repro settings, it was probably mutable in relacs
+        if contrast < 0.0000001:
+            if "project" in repro_settings.keys():
+                stimulus_settings = stimulus_settings["project"]
+            elif "Project" in stimulus_settings.keys():
+                stimulus_settings = stimulus_settings["Project"]
             for k in stimulus_settings.keys():
                 if k.lower() == "contrast":
-                    contrast = float(stimulus_settings[k].split("+")[0]) * (100 if has_nix else 1)
+                    contrast = read_contrast(stimulus_settings[k], has_nix)
+
         return contrast
 
     def __do_read_spike_data_from_nix(self, mt: nix.pycore.MultiTag, stimulus: Stimulus, repro: RePro):
-        spikes = None
+        spikes = np.empty(0)
         contrast = 0.0
         
         r_settings = yaml.safe_load(repro.settings.replace("\t", ""))
@@ -719,22 +740,38 @@ class FileStimulusData:
                 mt = b.multi_tags[s.multi_tag_id]
             
             sp, c, stim, delay, duration = self.__do_read_spike_data_from_nix(mt, s, repro)
-            spikes.append(sp)
-            contrasts.append(c)
-            stim_files.append(stim)
-            delays.append(delay)
-            durations.append(duration)
+            if len(sp) > 0:
+                spikes.append(sp)
+                contrasts.append(c)
+                stim_files.append(stim)
+                delays.append(delay)
+                durations.append(duration)
         f.close()
         return spikes, contrasts, stim_files, delays, contrasts
 
     def __read_spike_data_from_directory(self, repro: RePro):
-        print("not yet, my friend!")
+        stimuli, _ = Stimulus.find(cell_id=repro.cell_id, repro_id=repro.id)
         spikes = []
         contrasts = []
         stim_files = []
         delays = []
         durations = []
-
+        r_settings = yaml.safe_load(repro.settings.replace("\t", ""))
+        r_settings = r_settings["project"] if "project" in r_settings.keys() else r_settings
+        for s in stimuli:
+            s_settings = yaml.safe_load(s.settings.replace("\t", ""))
+            s_settings = s_settings["project"] if "project" in s_settings.keys() else s_settings
+            contrast = self.__find_contrast(r_settings, s_settings, False)
+            duration = float(s_settings["duration"][:-2]) / 1000
+            sp = self.__stimspikes.get(s.run, s.index)
+            if not sp or len(sp) < 1:
+                continue
+            contrasts.append(contrast)
+            delays.append(float(r_settings["before"][:-2]) / 1000)
+            durations.append(duration)
+            stim_files.append(s_settings["file"])
+            spikes.append(sp)
+            
         return spikes, contrasts, stim_files, delays, durations
 
     def read_stimulus(self, index=0):
@@ -768,6 +805,14 @@ class FileStimulusData:
         else:
             raise IndexError("FileStimulusData: index %i out of bounds for contrasts data of size %i" % (index, self.size))
 
+    def trial_duration(self, index=-1):
+        if index == -1:
+            return self.__durations
+        elif index >=0 and index < self.size:
+            return self.__durations[index]
+        else:
+            raise IndexError("FileStimulusData: index %i out of bounds for contrasts data of size %i" % (index, self.size))
+
     def time_axis(self, index=-1):
         """
         Get the time axis of a single trial or a list of time-vectors for all trials.
@@ -790,6 +835,18 @@ class FileStimulusData:
             raise IndexError("FileStimulusData: index %i out of bounds for time_axes of size %i" % (index, self.size))
     
     def rate(self, index=-1, kernel_width=0.005):
+        """[summary]
+
+        Args:
+            index (int, optional): [description]. Defaults to -1.
+            kernel_width (float, optional): [description]. Defaults to 0.005.
+
+        Raises:
+            IndexError: [description]
+
+        Returns:
+            [type]: [description]
+        """
         if index == -1:
             time_axes = []
             rates = []
@@ -808,11 +865,11 @@ class FileStimulusData:
         else:
             raise IndexError("FileStimulusData: index %i out of bounds for time_axes of size %i" % (index, self.size))
 
-        
+
 if __name__ == "__main__":
 
     # dataset = Dataset(dataset_id='2011-06-14-ag')
-    dataset = Dataset(dataset_id="2018-09-13-ac-invivo-1")
-    # dataset = Dataset(dataset_id='2013-04-18-ac')
+    # dataset = Dataset(dataset_id="2018-09-13-ac-invivo-1")
+    dataset = Dataset(dataset_id='2013-04-18-ac-invivo-1')
     fi_curve = FileStimulusData(dataset)
     embed()
diff --git a/fishbook/frontend/util.py b/fishbook/frontend/util.py
index bd2fa36..8e33e52 100644
--- a/fishbook/frontend/util.py
+++ b/fishbook/frontend/util.py
@@ -1,5 +1,8 @@
 import numpy as np
+import os
+import subprocess
 from scipy.optimize import curve_fit
+from IPython import embed
 
 def spike_times_to_rate(spike_times, time_axis, kernel_width=0.005):
     """Convert spike times to a rate by means of kernel convolution. A Gaussian kernel of the desired width is used.
@@ -121,7 +124,7 @@ class BoltzmannFit:
         """
         The underlying Boltzmann function.
         .. math::
-            f(x) = y_max / \exp{-slope*(x-inflection}
+            f(x) = y_max / exp{-slope*(x-inflection}
 
         :param x: The x values.
         :param y_max: The maximum value.
@@ -181,3 +184,44 @@ class BoltzmannFit:
             xvalues = self.__x_sorted
         return self.boltzmann(xvalues, *self.__fit_params)
 
+class StimSpikesFile:
+
+    def __init__(self, filename):
+        if "stimspikes-1.dat" not in filename:
+            filename += os.path.join(os.path.sep, "stimspikes1.dat")
+        if not os.path.exists(filename):
+            raise ValueError("StimSpikesFile: the given file %s does not exist!" % filename)
+        self._filename = filename
+        self._data_map = self.__parse_file(filename)
+
+    def __parse_file(self, filename):
+        with open(filename, 'r') as f:
+            lines = f.readlines()
+        
+        index_map = {}
+        trial_data = []
+        index = 0
+        trial = 0
+            
+        for l in lines:
+            l = l.strip()
+            if "index:" in l:
+                if len(trial_data) > 0:
+                    index_map[(index, trial)] = trial_data
+                    trial_data = []
+                index = int(l[1:].strip().split(":")[-1])
+            if "trial:" in l:
+                if len(trial_data) > 0:
+                    index_map[(index, trial)] = trial_data
+                    trial_data = []
+                trial = int(l[1:].strip().split(":")[-1])
+            if len(l) > 0 and "#" not in l:
+                trial_data.append(float(l)/1000)
+        
+        return index_map
+
+    def get(self, run_index, trial_index):
+        if tuple([run_index, trial_index]) not in self._data_map.keys():
+            print("Data not found for run %i and trial %i:" % (run_index, trial_index))
+            return None
+        return self._data_map[(run_index, trial_index)]
\ No newline at end of file
diff --git a/setup.py b/setup.py
index c36518d..96945ec 100644
--- a/setup.py
+++ b/setup.py
@@ -6,7 +6,7 @@ assert(sys.version_info >= (3, 0))
 __version__ = 0.1
 # exec(open('fishbook/version.py').read())
 
-requires = ['datajoint', 'nixio', 'numpy', 'PyYAML', 'scipy', 'backports-datetime-fromisoformat']
+requires = ['datajoint', 'nixio', 'numpy', 'PyYAML', 'scipy', 'tqdm', 'yaml', 'backports-datetime-fromisoformat']
 
 print(find_packages(exclude=['contrib', 'doc', 'tests*']))
 setup(name='fishbook',