cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2xmpew
title: Occurrence Download

description: A dataset containing 23309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta canadensis, Branta leucopsis, Anser caerulescens, Anser anser, Cygnus olor, Alopochen aegyptiaca, Aix galericulata, Mareca strepera, Anas platyrhynchos, Netta rufina, Oxyura jamaicensis, Tetrao urogallus, Perdix perdix, Chrysolophus pictus, Chrysolophus amherstiae, Phasianus colchicus, Alectoris rufa, Columba livia, Astur, Milvus milvus, Haliaeetus albicilla, Athene noctua, Psittacula krameri)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is True",
 "Year is 2024",
 "Geometry POLYGON ((-8.64999567480067 49.864792602711866, 2.3459774990209343 49.864792602711866, 2.3459774990209343 60.86076577653347, -8.64999567480067 60.86076577653347, -8.64999567480067 49.864792602711866))"
 ]
}

 The dataset includes 23309 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015836-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tqkb4
title: Occurrence Download

description: A dataset containing 3325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulex europaeus"
 ]
}

 The dataset includes 3325 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015837-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cakf5
title: Occurrence Download

description: A dataset containing 31062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Branta canadensis, Branta leucopsis, Anser caerulescens, Anser anser, Cygnus olor, Alopochen aegyptiaca, Aix galericulata, Mareca strepera, Anas platyrhynchos, Netta rufina, Oxyura jamaicensis, Tetrao urogallus, Perdix perdix, Chrysolophus pictus, Chrysolophus amherstiae, Phasianus colchicus, Alectoris rufa, Columba livia, Astur, Milvus milvus, Haliaeetus albicilla, Athene noctua, Psittacula krameri)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is True",
 "Year is 2025",
 "Geometry POLYGON ((-8.64999567480067 49.864792602711866, 2.3459774990209343 49.864792602711866, 2.3459774990209343 60.86076577653347, -8.64999567480067 60.86076577653347, -8.64999567480067 49.864792602711866))"
 ]
}

 The dataset includes 31062 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015838-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp4bm5
title: Occurrence Download

description: A dataset containing 11572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ehrharta calycina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11572 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015839-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2es6cr
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiropterotriton cracens"
 ]
}

 The dataset includes 51 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015840-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uake6
title: Occurrence Download

description: A dataset containing 9719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elymus canadensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9719 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015841-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3re2k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cochranella phryxa"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015842-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17764190
title: hopitale
DOI: 10.5281/zenodo.17764191
title: hopitale
DOI: 10.15468/dl.mg3zuf
title: Occurrence Download

description: A dataset containing 87379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vultur gryphus",
 "Year 2010-2025"
 ]
}

 The dataset includes 87379 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015809-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15771990
title: Image-based abuse in Indian cinema and web series

description: A compilation of Indian cinema and web series that depict image-based abuse (IBA).

IBA is the capture, publishing, or distribution—or the threat to do so—of nude, partially nude, or sexually explicit images (photos and videos) without the consent of one or more persons in the frame. This includes real images, digitally altered ones, as well as AI-generated ones. 



“Indian cinema and web series” as defined in this document refers to films and web series set in India. If the work is not set in India, then it largely depicts Indians or an Indian social or cultural setting outside India. 

All remakes of a film in different languages are listed as a single row. For example, #11 (Papanasam and its remakes.)

Web series are mentioned as such; the rest are films.


This list is used to demonstrate that even though IBA is illegal in theory, it is not perceived as a serious sexual crime. It is tacitly accepted as a reality of everyday life that is so commonplace that over the years it has constituted a plot point of many works of cinema. 

This list includes the contents of two of my previously published works listed in the attached PDF. 

Please note that this is a living document and will be updated periodically. Hence, refer to the latest version of the record. 

Data is provided AS-IS, without warranty as to accuracy or completeness.



All uses of the accompanying data and modifications and derivatives thereof must contain the following attribution: "Data provided by Rohini Lakshané (2015-2025)"


This document is a part of the project "Crying shame."

Crowdsourcing request:

I first created this list in 2015. I have been updating it since. Please suggest additions to the list in this Google Doc: https://docs.google.com/document/d/11CDkj5fqkdYDmFw0pUEzCqtYT5O0whub2BR6_OYHGG4/edit?tab=t.0#heading=h.bxrli6o8mqt8 

If you want to be credited for your suggestions, do mention so, either in the Google Doc or by privately contacting me. 

If you want to contribute but don't want to access or edit the Google Doc, email or text me your contribution.
DOI: 10.5281/zenodo.15570091
title: Image-based abuse in Indian cinema and web series

description: A compilation of Indian cinema and web series that depict image-based abuse (IBA).

IBA is the capture, publishing, or distribution—or the threat to do so—of nude, partially nude, or sexually explicit images (photos and videos) without the consent of one or more persons in the frame. This includes real images, digitally altered ones, as well as AI-generated ones. 



“Indian cinema and web series” as defined in this document refers to films and web series set in India. If the work is not set in India, then it largely depicts Indians or an Indian social or cultural setting outside India. 

All remakes of a film in different languages are listed as a single row. For example, #11 (Papanasam and its remakes.)

Web series are mentioned as such; the rest are films.


This list is used to demonstrate that even though IBA is illegal in theory, it is not perceived as a serious sexual crime. It is tacitly accepted as a reality of everyday life that is so commonplace that over the years it has constituted a plot point of many works of cinema. 

This list includes the contents of two of my previously published works listed in the attached PDF. 

Please note that this is a living document and will be updated periodically. Hence, refer to the latest version of the record. 

Data is provided AS-IS, without warranty as to accuracy or completeness.



All uses of the accompanying data and modifications and derivatives thereof must contain the following attribution: "Data provided by Rohini Lakshané (2015-2025)"


This document is a part of the project "Crying shame."

Crowdsourcing request:

I first created this list in 2015. I have been updating it since. Please suggest additions to the list in this Google Doc: https://docs.google.com/document/d/11CDkj5fqkdYDmFw0pUEzCqtYT5O0whub2BR6_OYHGG4/edit?tab=t.0#heading=h.bxrli6o8mqt8 

If you want to be credited for your suggestions, do mention so, either in the Google Doc or by privately contacting me. 

If you want to contribute but don't want to access or edit the Google Doc, email or text me your contribution.
DOI: 10.15468/dl.a6j2me
title: Occurrence Download

description: A dataset containing 1006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ardea insignis",
 "Year 1980-2025"
 ]
}

 The dataset includes 1006 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015843-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezkrfw
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus agilis"
 ]
}

 The dataset includes 89 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015844-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmv9st
title: Occurrence Download

description: A dataset containing 3228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Genista monspessulana"
 ]
}

 The dataset includes 3228 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015846-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egdd25
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus brachistriatus"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015847-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29225734
title: Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging

description: To develop a deep learning model using orbital computed tomography (CT) imaging to accurately distinguish thyroid eye disease (TED) and orbital myositis, two conditions with overlapping clinical presentations Retrospective, single-center cohort study spanning 12 years including normal controls, TED, and orbital myositis patients with orbital imaging and examination by an oculoplastic surgeon. A deep learning model employing a Visual Geometry Group-16 network was trained on various binary combinations of TED, orbital myositis, and controls using single slices of coronal orbital CT images A total of 1628 images from 192 patients (110 TED, 51 orbital myositis, 31 controls) were included. The primary model comparing orbital myositis and TED had accuracy of 98.4% and area under the receiver operating characteristic curve (AUC) of 0.999. In detecting orbital myositis, it had a sensitivity, specificity, and F1 score of 0.964, 0.994, and 0.984, respectively. Deep learning models can differentiate TED and orbital myositis based on a single, coronal orbital CT image with high accuracy. Their ability to distinguish these conditions based not only on extraocular muscle enlargement but also other salient features suggests potential applications in diagnostics and treatment beyond these conditions.
DOI: 10.6084/m9.figshare.29225734.v1
title: Deep learning model for differentiating thyroid eye disease and orbital myositis on computed tomography (CT) imaging

description: To develop a deep learning model using orbital computed tomography (CT) imaging to accurately distinguish thyroid eye disease (TED) and orbital myositis, two conditions with overlapping clinical presentations Retrospective, single-center cohort study spanning 12 years including normal controls, TED, and orbital myositis patients with orbital imaging and examination by an oculoplastic surgeon. A deep learning model employing a Visual Geometry Group-16 network was trained on various binary combinations of TED, orbital myositis, and controls using single slices of coronal orbital CT images A total of 1628 images from 192 patients (110 TED, 51 orbital myositis, 31 controls) were included. The primary model comparing orbital myositis and TED had accuracy of 98.4% and area under the receiver operating characteristic curve (AUC) of 0.999. In detecting orbital myositis, it had a sensitivity, specificity, and F1 score of 0.964, 0.994, and 0.984, respectively. Deep learning models can differentiate TED and orbital myositis based on a single, coronal orbital CT image with high accuracy. Their ability to distinguish these conditions based not only on extraocular muscle enlargement but also other salient features suggests potential applications in diagnostics and treatment beyond these conditions.
DOI: 10.15468/dl.b4qe28
title: Occurrence Download

description: A dataset containing 75317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Vultur gryphus",
 "Year 2010-2025"
 ]
}

 The dataset includes 75317 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015824-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pftsbu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus dysprosium"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015850-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17764196
title: Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor

description: This study develops and validates an integrated socioeconomic-environmental risk modeling framework for mortality risk prediction across the Northeast Corridor of the United States. Combining data from the U.S. Census Bureau, Environmental Protection Agency, National Oceanic and Atmospheric Administration, and Centers for Disease Control and Prevention, we analyze 72 counties across five states using a machine learning approach (Random Forest). A Random Forest model incorporating 20 socioeconomic, environmental, demographic, and healthcare variables achieves exceptional predictive performance at the regional level (R² = 0.935), with state-level models demonstrating varied but substantial explanatory power for four of the five states (R² = 0.510-0.758), while one state model showed limited fit. SHAP (SHapley Additive exPlanations) analysis reveals median income as the dominant predictor across all jurisdictions (94.5% regional importance), while environmental factors—particularly heat wave days and PM2.5 concentrations—emerge as significant secondary predictors with demonstrated threshold effects. Our analysis identifies environmental justice patterns, with counties exceeding EPA PM2.5 standards showing 1.7% higher mortality rates than low-pollution counties. The research contributes both methodological innovations through explainable AI implementation and practical insurance applications through a tripartite risk classification system enabling actuarially sound premium differentiation. We further propose a regulatory compliance framework addressing transparency requirements through SHAP explainability and demonstrate how environmental factors can serve as objective, non-discriminatory predictors in insurance risk classification. This integrated approach advances risk modeling methodology while providing actionable insights for insurers, regulators, and public health authorities addressing complex multifactorial mortality determinants.
DOI: 10.5281/zenodo.17764195
title: Dataset and Code for: Explainable AI for Multifactorial Mortality Risk Assessment in the Northeast Corridor

description: This study develops and validates an integrated socioeconomic-environmental risk modeling framework for mortality risk prediction across the Northeast Corridor of the United States. Combining data from the U.S. Census Bureau, Environmental Protection Agency, National Oceanic and Atmospheric Administration, and Centers for Disease Control and Prevention, we analyze 72 counties across five states using a machine learning approach (Random Forest). A Random Forest model incorporating 20 socioeconomic, environmental, demographic, and healthcare variables achieves exceptional predictive performance at the regional level (R² = 0.935), with state-level models demonstrating varied but substantial explanatory power for four of the five states (R² = 0.510-0.758), while one state model showed limited fit. SHAP (SHapley Additive exPlanations) analysis reveals median income as the dominant predictor across all jurisdictions (94.5% regional importance), while environmental factors—particularly heat wave days and PM2.5 concentrations—emerge as significant secondary predictors with demonstrated threshold effects. Our analysis identifies environmental justice patterns, with counties exceeding EPA PM2.5 standards showing 1.7% higher mortality rates than low-pollution counties. The research contributes both methodological innovations through explainable AI implementation and practical insurance applications through a tripartite risk classification system enabling actuarially sound premium differentiation. We further propose a regulatory compliance framework addressing transparency requirements through SHAP explainability and demonstrate how environmental factors can serve as objective, non-discriminatory predictors in insurance risk classification. This integrated approach advances risk modeling methodology while providing actionable insights for insurers, regulators, and public health authorities addressing complex multifactorial mortality determinants.
DOI: 10.15468/dl.4tr94w
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus furviventris"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015851-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32541.37605
title: Balsaminaceae Brief November 2025
DOI: 10.15468/dl.nuduyf
title: Occurrence Download

description: A dataset containing 1153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spialia galba"
 ]
}

 The dataset includes 1153 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015853-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62qu4g
title: Occurrence Download

description: A dataset containing 21291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Capreolus capreolus"
 ]
}

 The dataset includes 21291 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015852-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hctk3
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus mertensi"
 ]
}

 The dataset includes 84 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015854-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/m33a3e
title: Selezione euro-mediterranea del Museo delle farfalle e delle falene | Euro-mediterranean selection of the Butterfly and Moth Museum

description: A selection of European and Western-Asiatic butterflies and moths from the holarctic entomological collection of the Butterfly and Moth Museum.
DOI: 10.5281/zenodo.17682398
title: Impact of Intertidal Habitats on Storm-Induced Flooding in Estuaries:  Application to the Thames Estuary, UK

description: All data that support the findings of the study entitled "Impact of Intertidal Habitats on Storm-Induced Flooding in Estuaries:  Application to the Thames Estuary, UK" are provided here.

 

The dataset includes the model results obtained from 1) a scenario considering the barrier closure, 2) a scenario without the barrier closure in the Thames estuary, 3) a simple test scenario for model verification and comparison, and 4) a sensitivity scenario to examine the response of intertidal effects to channel deepening.

 

Besides, the code for the semi-analytical model of estuarine storm tides is provided here.
DOI: 10.5281/zenodo.17024999
title: Impact of Intertidal Habitats on Storm-Induced Flooding in Estuaries:  Application to the Thames Estuary, UK

description: All data that support the findings of the study entitled "Impact of Intertidal Habitats on Storm-Induced Flooding in Estuaries:  Application to the Thames Estuary, UK" are provided here.

 

The dataset includes the model results obtained from 1) a scenario considering the barrier closure, 2) a scenario without the barrier closure in the Thames estuary, 3) a simple test scenario for model verification and comparison, and 4) a sensitivity scenario to examine the response of intertidal effects to channel deepening.

 

Besides, the code for the semi-analytical model of estuarine storm tides is provided here.
DOI: 10.15468/dl.5g227p
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colostethus thorntoni"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015855-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.