diff --git a/openquake/quaket/auxiliary/catalogue.ipynb b/openquake/quaket/auxiliary/catalogue.ipynb
index ff85b76..f44f1ba 100644
--- a/openquake/quaket/auxiliary/catalogue.ipynb
+++ b/openquake/quaket/auxiliary/catalogue.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Catalogue\n",
     "\n",
-    "This notebook shows how you can examine statistical parameters of an [earthquake catalogue](../../html/contents/glossary.html) and visualize it on a high-quality map."
+    "This notebook shows how you can examine statistical parameters of an [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue) and visualize it on a high-quality map."
    ]
   },
   {
@@ -28,7 +28,7 @@
    "id": "634c324f-37be-476a-8660-183e26b0a82e",
    "metadata": {},
    "source": [
-    "Descriptions of inputs and input files used here are briefly summarized below. For more detailed information, please see [Data Format section](../../contents/data_formats.html). \n",
+    "Descriptions of inputs and input files used here are briefly summarized below. For more detailed information, please see [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html). \n",
     "- **catalogue (str):** Path to the HMTK-formatted CSV catalogue.\n",
     "- **polygon (str):** Path to the GeoJSON file for the study area boundary.\n",
     "- **region (list):** Map extent [West, East, South, North].\n",
@@ -62,7 +62,7 @@
    "source": [
     "## Statistics of catalogue\n",
     "\n",
-    "This block loads the [earthquake catalogue](../../html/contents/glossary.html) and generates a descriptive statistics table, including [mean](../../html/contents/glossary.html), [standard deviation](../../html/contents/glossary.html), and [median](../../html/contents/glossary.html), to provide an overview of the catalogue’s range and distribution. "
+    "This block loads the [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue) and generates a descriptive statistics table, including [mean](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Mean-average-or-arithmetic-mean), [standard deviation](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Standard-deviation), and [median](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Median-discrete-sample), to provide an overview of the catalogue’s range and distribution. "
    ]
   },
   {
diff --git a/openquake/quaket/auxiliary/completeness.ipynb b/openquake/quaket/auxiliary/completeness.ipynb
index d9445bd..03b1d58 100644
--- a/openquake/quaket/auxiliary/completeness.ipynb
+++ b/openquake/quaket/auxiliary/completeness.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Completeness\n",
     "\n",
-    "In the early stages of processing an [instrumental catalogue](../../html/contents/glossary.html) for use in [Probabilistic Seismic Hazard Analysis (PSHA)](../../html/contents/glossary.html), it is necessary to determine the [magnitude completeness (Mc)](../../html/contents/glossary.html) of the [earthquake catalogue](../../html/contents/glossary.html). Incomplete catalogues can introduce bias into earthquake recurrence models, which may significantly affect seismic hazard estimates at a site. Therefore, identifying Mc is an essential step in preparing input data for PSHA.\n",
+    "In the early stages of processing an [instrumental catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Instrumental-catalogue) for use in [Probabilistic Seismic Hazard Analysis (PSHA)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Probabilistic-Seismic-Hazard-Analysis-PSHA), it is necessary to determine the [magnitude completeness (Mc)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Magnitude-completeness-Mc) of the [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue). Incomplete catalogues can introduce bias into earthquake recurrence models, which may significantly affect seismic hazard estimates at a site. Therefore, identifying Mc is an essential step in preparing input data for PSHA.\n",
     "\n",
     "In this notebook, two catalogue completeness methodologies are presented: the Stepp (1971) method [[7]](references.html#ref-stepp-1972) and an iterative approach [[8]](references.html#ref-johnson-2026). The methodology for analysing catalogue completeness is implemented in the current version of the Modeller’s Toolkit [[1]](references.html#ref-weatherill-2014)."
    ]
@@ -35,7 +35,7 @@
    "source": [
     "## Stepp, 1971\n",
     "\n",
-    "This is one of the earliest analytical approaches to estimation of [magnitude completeness](../../html/contents/glossary.html). It is based on estimators of the [seismicity rate](../../html/contents/glossary.html), identifying the completeness magnitude when the observed rate of earthquakes above Mc begins to deviate from the expected rate.\n",
+    "This is one of the earliest analytical approaches to estimation of [magnitude completeness](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Magnitude-completeness-Mc). It is based on estimators of the [seismicity rate](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Seismicity-rate), identifying the completeness magnitude when the observed rate of earthquakes above Mc begins to deviate from the expected rate.\n",
     "\n",
     "The analysis of Stepp (1971) is a coarse, but relatively robust, approach to estimating the temporal variation in completeness of a catalogue. It has been widely applied since its development. The accuracy of the Mc depends on the magnitude and time intervals considered, and a degree of judgement is often needed to determine the time at which the rate deviates from the expected values. It has tended to be applied to catalogues on a large scale and for relatively higher Mc."
    ]
@@ -146,7 +146,7 @@
     "\n",
     "They develop a technique to simultaneously estimate $b$-values and time-magnitude completeness windows that relies upon one of two regularly made assumptions about event distributions in a study region: that the magnitudes in the catalogue follow a Gutenberg-Richter magnitude distribution and that the rate of events in time follows a Poisson distribution.\n",
     "\n",
-    "In this methodology, there are two supplementary techniques to determine completeness and [magnitude-frequency distribution (MFD)](../../html/contents/glossary.html) parameters such that the two assumptions can trade-off. The two approaches are based on the same fundamental principles, but they differ in the metric used to determine the optimal combined solution. Their automated method enables users to choose multiple potential completeness magnitudes and corresponding years, while the final selection is determined by a statistical algorithm designed to satisfy a key principle of PSHA. However, if users already have reliable knowledge of the completeness characteristics of their catalogue, they can restrict the range of magnitudes and years considered."
+    "In this methodology, there are two supplementary techniques to determine completeness and [magnitude-frequency distribution (MFD)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-MagnitudeFrequency-Distribution-MFD) parameters such that the two assumptions can trade-off. The two approaches are based on the same fundamental principles, but they differ in the metric used to determine the optimal combined solution. Their automated method enables users to choose multiple potential completeness magnitudes and corresponding years, while the final selection is determined by a statistical algorithm designed to satisfy a key principle of PSHA. However, if users already have reliable knowledge of the completeness characteristics of their catalogue, they can restrict the range of magnitudes and years considered."
    ]
   },
   {
@@ -173,7 +173,7 @@
    "id": "4096f054-ec02-4ac6-84ad-020d767eecb7",
    "metadata": {},
    "source": [
-    "The `completeness_generate` function uses the completeness-related data provided in the [TOML configuration](../../contents/data_formats.html) file. It first reads the defined `years` and `mags` values, which should be selected based on available knowledge of the catalogue and the periods during which completeness might have changed. In the initial step, the function generates all possible completeness windows from the provided years and magnitude values."
+    "The `completeness_generate` function uses the completeness-related data provided in the [TOML configuration](https://gemsciencetools.github.io/quakeT/contents/data_formats.html#completeness-configuration) file. It first reads the defined `years` and `mags` values, which should be selected based on available knowledge of the catalogue and the periods during which completeness might have changed. In the initial step, the function generates all possible completeness windows from the provided years and magnitude values."
    ]
   },
   {
diff --git a/openquake/quaket/auxiliary/declustering.ipynb b/openquake/quaket/auxiliary/declustering.ipynb
index 7d4b224..82e64fa 100644
--- a/openquake/quaket/auxiliary/declustering.ipynb
+++ b/openquake/quaket/auxiliary/declustering.ipynb
@@ -8,7 +8,7 @@
    "source": [
     "# Declustering\n",
     "\n",
-    "[Declustering](../../html/contents/glossary.html) is a fundamental preprocessing step in [Probabilistic Seismic Hazard Analysis (PSHA) ](../../html/contents/glossary.html) that aims to purge dependent earthquakes ([aftershocks](../../html/contents/glossary.html), [foreshocks](../../html/contents/glossary.html), and [swarm-type seismicity](../../html/contents/glossary.html)) from [earthquake catalogues](../../html/contents/glossary.html), leaving only independent earthquakes [(mainshocks)](../../html/contents/glossary.html) for analysis. This script shows three different space-time windowing declustering methods available [here](https://github.com/gem/oq-engine/blob/master/openquake/hmtk/seismicity/declusterer/distance_time_windows.py). \n",
+    "[Declustering](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Declustering) is a fundamental preprocessing step in [Probabilistic Seismic Hazard Analysis (PSHA) ](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Probabilistic-Seismic-Hazard-Analysis-PSHA) that aims to purge dependent earthquakes ([aftershocks](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Aftershock), [foreshocks](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Foreshock), and [swarm-type seismicity](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Swarm-type-seismicity)) from [earthquake catalogues](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue), leaving only independent earthquakes [(mainshocks)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Mainshock) for analysis. This script shows three different space-time windowing declustering methods available [here](https://github.com/gem/oq-engine/blob/master/openquake/hmtk/seismicity/declusterer/distance_time_windows.py). \n",
     "\n",
     "- Gardner and Knopoff, 1974 (GK) [[3]](references.html#ref-gk-1974)\n",
     "- Uhrhammer, 1986 (UH) [[4]](references.html#ref-uh-1986)\n",
@@ -33,7 +33,7 @@
    "id": "a9fcc93b-f6f8-44a3-8bda-10d340ce1e7f",
    "metadata": {},
    "source": [
-    "The required input is briefly described below. For more detailed information, please see [Data Format section](../../contents/data_formats.html). \n",
+    "The required input is briefly described below. For more detailed information, please see [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html#catalogue). \n",
     "\n",
     "- **catalogue (str):** Path to the HMTK-formatted CSV catalogue."
    ]
diff --git a/openquake/quaket/auxiliary/homogenising.ipynb b/openquake/quaket/auxiliary/homogenising.ipynb
index a3ef983..dc076cd 100644
--- a/openquake/quaket/auxiliary/homogenising.ipynb
+++ b/openquake/quaket/auxiliary/homogenising.ipynb
@@ -7,9 +7,9 @@
    "source": [
     "# Magnitude Homogenization\n",
     "\n",
-    "[Magnitude Homogenization](../../html/contents/glossary.html) is one of the fundamental steps in seismic hazard analysis. The process involves combining earthquake data from multiple catalogues into a single consistent [earthquake catalogue](../../html/contents/glossary.html) by carefully evaluating available bulletins, identifying duplicate events across different sources, and applying empirical conversion relationships to transform various native magnitude scales into a common target magnitude scale [[9]](references.html#ref-weatherill-2016).\n",
+    "[Magnitude Homogenization](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Magnitude-homogenization) is one of the fundamental steps in seismic hazard analysis. The process involves combining earthquake data from multiple catalogues into a single consistent [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue) by carefully evaluating available bulletins, identifying duplicate events across different sources, and applying empirical conversion relationships to transform various native magnitude scales into a common target magnitude scale [[9]](references.html#ref-weatherill-2016).\n",
     "\n",
-    "There is a [homogenisor module in oq-mbtk](https://github.com/GEMScienceTools/oq-mbtk/blob/master/openquake/cat/isc_homogenisor.py) that was developed for the database of the [International Seismological Center (ISC)](https://www.isc.ac.uk/), but can be used for any other compiled database to create a magnitude-homogeneous global [earthquake catalogue](../../html/contents/glossary.html). Please note that the module contains not only the reviewed and reprocessed time/location (origin) and magnitude solutions for each event, but also the original solutions from all of the contributing local recording networks [[9]](references.html#ref-weatherill-2016). This homogenisor supports several agency-magnitude scales (e.g., [surface-wave magnitude](../../html/contents/glossary.html) ($M_s$), [body-wave magnitude](../../html/contents/glossary.html) ($m_b$), and [moment magnitude](../../html/contents/glossary.html) ($M_w$)) and converts them to a standardized $M_w$ using empirical relations based on their hierarchical criteria for selection of origin and magnitude for homogenizing a global earthquake catalogue."
+    "There is a [homogenisor module in oq-mbtk](https://github.com/GEMScienceTools/oq-mbtk/blob/master/openquake/cat/isc_homogenisor.py) that was developed for the database of the [International Seismological Center (ISC)](https://www.isc.ac.uk/), but can be used for any other compiled database to create a magnitude-homogeneous global [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue). Please note that the module contains not only the reviewed and reprocessed time/location (origin) and magnitude solutions for each event, but also the original solutions from all of the contributing local recording networks [[9]](references.html#ref-weatherill-2016). This homogenisor supports several agency-magnitude scales (e.g., [surface-wave magnitude](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Surface-wave-magnitude-M-s) ($M_s$), [body-wave magnitude](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Body-wave-magnitude-m-b) ($m_b$), and [moment magnitude](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Moment-magnitude-M-w) ($M_w$)) and converts them to a standardized $M_w$ using empirical relations based on their hierarchical criteria for selection of origin and magnitude for homogenizing a global earthquake catalogue."
    ]
   },
   {
diff --git a/openquake/quaket/auxiliary/interevent.ipynb b/openquake/quaket/auxiliary/interevent.ipynb
index ab425db..d8f2718 100644
--- a/openquake/quaket/auxiliary/interevent.ipynb
+++ b/openquake/quaket/auxiliary/interevent.ipynb
@@ -7,7 +7,7 @@
    "source": [
     "# Poisson Stationarity Analysis\n",
     "\n",
-    "Poisson Stationarity Analysis is one of the key components used in the evaluation of an [earthquake catalogue](../../html/contents/glossary.html) to check if it follows the Poisson distribution in terms of time. This script analyzes exactly the temporal distribution of the catalogue by calculating inter-event times and fitting statistical models."
+    "Poisson Stationarity Analysis is one of the key components used in the evaluation of an [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue) to check if it follows the Poisson distribution in terms of time. This script analyzes exactly the temporal distribution of the catalogue by calculating inter-event times and fitting statistical models."
    ]
   },
   {
diff --git a/openquake/quaket/auxiliary/mfd.ipynb b/openquake/quaket/auxiliary/mfd.ipynb
index aaeefb7..94b7cef 100644
--- a/openquake/quaket/auxiliary/mfd.ipynb
+++ b/openquake/quaket/auxiliary/mfd.ipynb
@@ -13,7 +13,7 @@
    "id": "3a74cbdb-02ef-4585-ac5f-2b4ea2913e61",
    "metadata": {},
    "source": [
-    "One of the fundamental components of [Probabilistic Seismic Hazard Analysis (PSHA) ](../../html/contents/glossary.html) is characterizing the seismicity of a source region by defining its [Magnitude-Frequency Distribution (MFD)](../../html/contents/glossary.html). The MFD quantifies the expected annual rate of earthquakes exceeding a specific magnitude threshold. \n",
+    "One of the fundamental components of [Probabilistic Seismic Hazard Analysis (PSHA) ](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Probabilistic-Seismic-Hazard-Analysis-PSHA) is characterizing the seismicity of a source region by defining its [Magnitude-Frequency Distribution (MFD)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-MagnitudeFrequency-Distribution-MFD). The MFD quantifies the expected annual rate of earthquakes exceeding a specific magnitude threshold. \n",
     "\n",
     "The baseline mathematical framework for this analysis is the classic **Gutenberg-Richter (G-R) recurrence law** [[10]](references.html#ref-gr-1944), expressed as:\n",
     "\n",
@@ -24,7 +24,7 @@
     "- **a-value** represents the overall level of seismicity (productivity) of the zone.\n",
     "- **b-value** indicates the relative ratio of small to large earthquakes.\n",
     "\n",
-    "This notebook provides a workflow for analyzing an [earthquake catalogue](../../html/contents/glossary.html) and fitting recurrence parameters using the OpenQuake Hazard Modeller's Toolkit [[1]](references.html#ref-weatherill-2014). Specifically, we present two different algorithms to derive the Gutenberg-Richter parameters: Aki Maximum Likelihood and B-Value Maximum Likelihood (Both is available in [openquake.hmtk.seismicity.occurrence](https://github.com/gem/oq-engine/tree/master/openquake/hmtk/seismicity/occurrence))."
+    "This notebook provides a workflow for analyzing an [earthquake catalogue](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Earthquake-catalogue) and fitting recurrence parameters using the OpenQuake Hazard Modeller's Toolkit [[1]](references.html#ref-weatherill-2014). Specifically, we present two different algorithms to derive the Gutenberg-Richter parameters: Aki Maximum Likelihood and B-Value Maximum Likelihood (Both is available in [openquake.hmtk.seismicity.occurrence](https://github.com/gem/oq-engine/tree/master/openquake/hmtk/seismicity/occurrence))."
    ]
   },
   {
@@ -69,7 +69,7 @@
    "id": "399f3c82-36e5-4712-80e0-77c436702f64",
    "metadata": {},
    "source": [
-    "The required input for `AkiMaxLikelihood` algorithm is briefly described below. For more detailed information, please see [Data Format section](../../contents/data_formats.html). \n",
+    "The required input for `AkiMaxLikelihood` algorithm is briefly described below. For more detailed information, please see [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html). \n",
     "\n",
     "- **catalogue (str):** Path to the HMTK-formatted CSV catalogue.\n",
     "- **Mc**: Completeness magnitude for the catalogue."
@@ -194,9 +194,9 @@
    "source": [
     "## GR parameters with Time-Varying Completeness (`BMaxLikelihood`)\n",
     "\n",
-    "`BMaxLikelihood` algorithm enables an advanced extension based on Utsu (1965) [[13]](references.html#ref-utsu-1965), Weichert (1980) [[14]](references.html#ref-weichert-1980), and Bender (1983) [[12]](references.html#ref-bender-1983) that accounts for both magnitude binning/discretization effects and time-varying [magnitude completeness (Mc)](../../html/contents/glossary.html). \n",
+    "`BMaxLikelihood` algorithm enables an advanced extension based on Utsu (1965) [[13]](references.html#ref-utsu-1965), Weichert (1980) [[14]](references.html#ref-weichert-1980), and Bender (1983) [[12]](references.html#ref-bender-1983) that accounts for both magnitude binning/discretization effects and time-varying [magnitude completeness (Mc)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Magnitude-completeness-Mc). \n",
     "\n",
-    "[Historical catalogues](../../html/contents/glossary.html) are inherently non-homogeneous because seismic networks improve over time; smaller earthquakes are fully captured in recent years, whereas only larger events were recorded in the past. Treating such a partitioned catalogue with a completeness magnitude leads to systematic bias in Gutenberg-Richter parameters.\n",
+    "[Historical catalogues](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Historical-catalogue) are inherently non-homogeneous because seismic networks improve over time; smaller earthquakes are fully captured in recent years, whereas only larger events were recorded in the past. Treating such a partitioned catalogue with a completeness magnitude leads to systematic bias in Gutenberg-Richter parameters.\n",
     "\n",
     "The `BMaxLikelihood` operates by partitioning the catalogue into distinct temporal windows based on a completeness table (defined by cut-off years $T_i$ and corresponding magnitudes $M_{c,i}$). \n",
     "\n",
diff --git a/openquake/quaket/auxiliary/ses.ipynb b/openquake/quaket/auxiliary/ses.ipynb
index 2b0eca2..1163a5a 100644
--- a/openquake/quaket/auxiliary/ses.ipynb
+++ b/openquake/quaket/auxiliary/ses.ipynb
@@ -13,9 +13,9 @@
    "id": "c535f307-2fbe-493b-beb7-d53a860b54b6",
    "metadata": {},
    "source": [
-    "This notebook demonstrates how to convert a [Stochastic Event Set (SES)](../../html/contents/glossary.html), that is a set of ruptures describing the potential seismicity occurring within a certain period of time according to a PSHA input model, generated by the [OpenQuake (OQ) Engine event-based PSHA calculation workflow](https://docs.openquake.org/oq-engine/manual/latest/user-guide/configuration-file/event-based-psha-config.html), into a catalogue format compatible with the **Hazard Modeller's Toolkit (HMTK)** [[1]](references.html#ref-weatherill-2014) (for a general description of the HMTK please refer to the [Data Format section](../../contents/data_formats.html). \n",
+    "This notebook demonstrates how to convert a [Stochastic Event Set (SES)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-Stochastic-Event-Set-SES), that is a set of ruptures describing the potential seismicity occurring within a certain period of time according to a PSHA input model, generated by the [OpenQuake (OQ) Engine event-based PSHA calculation workflow](https://docs.openquake.org/oq-engine/manual/latest/user-guide/configuration-file/event-based-psha-config.html), into a catalogue format compatible with the **Hazard Modeller's Toolkit (HMTK)** [[1]](references.html#ref-weatherill-2014) (for a general description of the HMTK please refer to the [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html). \n",
     "\n",
-    "Descriptions of the SES event and rupture files that will be defined as inputs here are given in [Data Format section](../../contents/data_formats.html). "
+    "Descriptions of the SES event and rupture files that will be defined as inputs here are given in [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html#stochastic-event-set). "
    ]
   },
   {
@@ -82,7 +82,7 @@
    "id": "177dd4a7-8e1d-4f42-94c8-3ce9e8149ab2",
    "metadata": {},
    "source": [
-    "Now you have an HMTK-formatted earthquake catalogue. Following the next tutorial ([Catalogue](../../auxiliary/catalogue.ipynb)), you might evaluate the catalogue."
+    "Now you have an HMTK-formatted earthquake catalogue. Following the next tutorial ([Catalogue](https://gemsciencetools.github.io/quakeT/contents/catalogue.html)), you might evaluate the catalogue."
    ]
   }
  ],
diff --git a/openquake/quaket/ssc/mfd_calculation.ipynb b/openquake/quaket/ssc/mfd_calculation.ipynb
index 5ce951d..2ba9a1a 100644
--- a/openquake/quaket/ssc/mfd_calculation.ipynb
+++ b/openquake/quaket/ssc/mfd_calculation.ipynb
@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "# Evenly Discretised Magnitude-Frequency Distribution (MFD)\n",
-    "The typologies of [Magnitude-Frequency Distribution (MFD)](../../html/contents/glossary.html) supported by the OQ Engine are available in this [folder](https://github.com/gem/oq-engine/tree/master/openquake/hazardlib/mfd). A description of these distributions is available [here](https://docs.openquake.org/oq-engine/3.25/manual/user-guide/inputs/seismic-source-model-inputs.html#magnitude-frequency-distributions). \n",
+    "The typologies of [Magnitude-Frequency Distribution (MFD)](https://gemsciencetools.github.io/quakeT/contents/glossary.html#term-MagnitudeFrequency-Distribution-MFD) supported by the OQ Engine are available in this [folder](https://github.com/gem/oq-engine/tree/master/openquake/hazardlib/mfd). A description of these distributions is available [here](https://docs.openquake.org/oq-engine/3.25/manual/user-guide/inputs/seismic-source-model-inputs.html#magnitude-frequency-distributions). \n",
     "\n",
     "The main models supported are:\n",
     "- Double Truncated MFD\n",
diff --git a/openquake/quaket/ssc/ses_generation.ipynb b/openquake/quaket/ssc/ses_generation.ipynb
index 5365143..1183409 100644
--- a/openquake/quaket/ssc/ses_generation.ipynb
+++ b/openquake/quaket/ssc/ses_generation.ipynb
@@ -89,7 +89,7 @@
     "You can use `ses_from_area_source` utility to produce 1000 years SES by sampling earthquake ruptures from configured seismic sources using Monte Carlo sampling [[16]](references.html#ref-musson-1999). \n",
     "\n",
     "Apart from MFD, you need to define:\n",
-    "- an area source as a polygon file described in the [Data Format section](../../contents/data_formats.html),\n",
+    "- an area source as a polygon file described in the [Data Format section](https://gemsciencetools.github.io/quakeT/contents/data_formats.html#source-polygon),\n",
     "- `hdd` which is an instance of :class:`openquake.hazardlib.pmf.PMF` describing the hypocentral depth distribution."
    ]
   },