cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.71646/b5u9fm
title: ERA5-Land Reanalysis
title: ERA5-Land Hourly Data from 1950 to Present

description: ERA5-Land is a high-resolution reanalysis dataset providing hourly estimates of land surface variables at ~9km (0.1°) grid spacing from 1950 to near real-time (5-day lag). Includes 50+ variables covering temperature, soil moisture, snow, precipitation, radiation, evapotranspiration, and wind. Key source for heatwave analysis, soil moisture monitoring, and drought assessment in South Asia. Requires free CDS registration. Also available via Google Earth Engine. Monthly aggregates are available for faster access. Copernicus licence requires attribution.
description: Open Access
DOI: 10.71646/7pulfx
title: PM-KUSUM State Portals
title: Pradhan Mantri Kisan Urja Suraksha evam Utthaan Mahabhiyan (PM-KUSUM)

description: Programme data on solar pump installation, solarisation of agricultural feeders, and grid-connected solar capacity under PM-KUSUM scheme. State and district-level data available through the central portal and individual state portals from 2019 to present. Data is fragmented across state websites with inconsistent formats; some scraping required for comprehensive data collection. No unified bulk download available.
description: Restricted Access
DOI: 10.71646/7uo9jg
title: CHIRTS Temperature
title: Climate Hazards Center Infrared Temperature with Stations (CHIRTSmax) Daily

description: CHIRTSmax provides daily maximum temperature (Tmax) estimates at 0.05° resolution globally from 1983 to 2016. Combines satellite thermal infrared data with station observations using the same framework as CHIRPS. Serves as a high-resolution Tmax baseline for India. The original CHIRTS (1983-2016) is now extended through CHIRTS-ERA5, which blends CHIRTS with bias-corrected ERA5 reanalysis data to provide near-real-time updates. Public domain.
description: Open Access
DOI: 10.71646/xnuoje
title: IISD India Energy Subsidy Tracker
title: IISD India Energy Subsidies and Support Data

description: State-level estimates of energy subsidies in India, including agricultural electricity subsidies, from various years. Tracks government support for fossil fuels, electricity, and renewable energy. Useful for understanding the political economy of agricultural power pricing and its impact on groundwater extraction. Data granularity and update frequency varies.
description: Open Access
DOI: 10.15468/dl.5sj8h5
title: Occurrence Download

description: A dataset containing 110339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Noctiluca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 110339 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027277-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71646/u7dqeu
title: India Drought Atlas (IIT Gandhinagar)
title: India Drought Atlas — SPEI at Multiple Timescales

description: High-resolution drought atlas for India providing Standardised Precipitation Evapotranspiration Index (SPEI) at 0.05° and taluka resolution from 1901 to 2021. Covers multiple timescales (1, 3, 6, 12, 24 months) enabling analysis of both meteorological and hydrological drought. A newly discovered resource providing the longest high-resolution drought record for India. Accessible via Zenodo data repository.
description: Open Access
DOI: 10.5281/zenodo.18682116
title: Source data for the publication "Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain"

description: Source data for the publication "Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain"
DOI: 10.5281/zenodo.18682117
title: Source data for the publication "Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain"

description: Source data for the publication "Concurrent optoacoustic tomography and magnetic resonance imaging of resting-state functional connectivity in the mouse brain"
DOI: 10.71646/xwq8x5
title: SPEI-HR Global (High Resolution)
title: SPEIbase HR — Global High-Resolution Drought Index

description: Global high-resolution (0.05°) Standardised Precipitation Evapotranspiration Index (SPEI) dataset from 1981 to 2022. Computed from CHIRPS/MSWEP precipitation and GLEAM/hPET potential evapotranspiration at multiple timescales. Provides a globally consistent drought index at much finer resolution than the original SPEIbase (0.5°). Useful for cross-country comparisons and India-specific drought analysis. Available via Figshare/ESSD data repository.
description: Open Access
DOI: 10.6084/m9.figshare.29693336
title: Additional electronic supplementary material for "No Evidence for Bergmann’s Rule in Otodus megalodon" Humberto G. Ferrón, Jose L. Herraiz, Carlos Martínez-Pérez, Héctor Botella, Joan Ribé

description: This repository contains the data files and R code required to reproduce all analyses, tables, and figures reported in the associated manuscript. The analyses evaluate relationships between body size, tooth crown height, tooth position, nursery association, and paleotemperature using linear models, mixed-effects models, Bayesian models, and Monte Carlo resampling.All analyses are run from a single R script and write outputs to a standardized folder structure.Contents:Data files:Data.csv<br>Core dataset used for body length–temperature analyses (formation, temperature, total body length, nursery).Compilation.xlsx<br>Tooth-level dataset including crown height, tooth position, jaw, formation, nursery association, and paleotemperature estimates.Tooth_Position_Specific_CrownHeight_BodyLength_Regression_Data.csv<br>Tooth position–specific regression equations and associated source data relating crown height to body length. Provided to allow replication and verification of reported relationships.R code:R script.R<br>Single script that:<br>• creates the folder structure<br>• loads data<br>• runs all analyses (plots, time-bin tests, OLS, mixed-effects, Bayesian MCMCglmm, Monte Carlo resampling)<br>• saves tables, figures, and model objects<br>• logs session information for reproducibility<br>• uses only relative pathsHow to run:Set the working directory to the project root (or open as an RStudio Project).Ensure the following files exist:<br>./data/Data.csv<br>./data/Compilation.xlsxRun:<br>source("R script.R")All results will be saved automatically in the ./outputs/ directory.Software requirements:R version 4.2 or later recommended.Required R packages:<br>ggplot2, dplyr, readr, readxl, lme4, lmerTest, performance, sjPlot,<br>MCMCglmm, coda, tidyr, tibble, stringr, patchworkExact package versions used are recorded in outputs/SESSION_INFO.txt.Reproducibility notes:All analyses use fixed random seeds where applicable.Bayesian models include convergence diagnostics and posterior summaries.Monte Carlo resampling propagates paleotemperature uncertainty using minimum and maximum estimates.All outputs are generated directly from the provided data and code.Citation:Please cite the associated manuscript and this Figshare dataset if you use these data or code.
DOI: 10.6084/m9.figshare.29693336.v2
title: Additional electronic supplementary material for "No Evidence for Bergmann’s Rule in Otodus megalodon" Humberto G. Ferrón, Jose L. Herraiz, Carlos Martínez-Pérez, Héctor Botella, Joan Ribé

description: This repository contains the data files and R code required to reproduce all analyses, tables, and figures reported in the associated manuscript. The analyses evaluate relationships between body size, tooth crown height, tooth position, nursery association, and paleotemperature using linear models, mixed-effects models, Bayesian models, and Monte Carlo resampling.All analyses are run from a single R script and write outputs to a standardized folder structure.Contents:Data files:Data.csv<br>Core dataset used for body length–temperature analyses (formation, temperature, total body length, nursery).Compilation.xlsx<br>Tooth-level dataset including crown height, tooth position, jaw, formation, nursery association, and paleotemperature estimates.Tooth_Position_Specific_CrownHeight_BodyLength_Regression_Data.csv<br>Tooth position–specific regression equations and associated source data relating crown height to body length. Provided to allow replication and verification of reported relationships.R code:R script.R<br>Single script that:<br>• creates the folder structure<br>• loads data<br>• runs all analyses (plots, time-bin tests, OLS, mixed-effects, Bayesian MCMCglmm, Monte Carlo resampling)<br>• saves tables, figures, and model objects<br>• logs session information for reproducibility<br>• uses only relative pathsHow to run:Set the working directory to the project root (or open as an RStudio Project).Ensure the following files exist:<br>./data/Data.csv<br>./data/Compilation.xlsxRun:<br>source("R script.R")All results will be saved automatically in the ./outputs/ directory.Software requirements:R version 4.2 or later recommended.Required R packages:<br>ggplot2, dplyr, readr, readxl, lme4, lmerTest, performance, sjPlot,<br>MCMCglmm, coda, tidyr, tibble, stringr, patchworkExact package versions used are recorded in outputs/SESSION_INFO.txt.Reproducibility notes:All analyses use fixed random seeds where applicable.Bayesian models include convergence diagnostics and posterior summaries.Monte Carlo resampling propagates paleotemperature uncertainty using minimum and maximum estimates.All outputs are generated directly from the provided data and code.Citation:Please cite the associated manuscript and this Figshare dataset if you use these data or code.
DOI: 10.6084/m9.figshare.29693336.v1
title: Additional electronic supplementary material for "No Evidence for Bergmann’s Rule in Otodus megalodon" Humberto G. Ferrón, Jose L. Herraiz, Carlos Martínez-Pérez, Héctor Botella, Joan Ribé

description: This repository contains the data files and R code required to reproduce all analyses, tables, and figures reported in the associated manuscript. The analyses evaluate relationships between body size, tooth crown height, tooth position, nursery association, and paleotemperature using linear models, mixed-effects models, Bayesian models, and Monte Carlo resampling.All analyses are run from a single R script and write outputs to a standardized folder structure.Contents:Data files:Data.csv<br>Core dataset used for body length–temperature analyses (formation, temperature, total body length, nursery).Compilation.xlsx<br>Tooth-level dataset including crown height, tooth position, jaw, formation, nursery association, and paleotemperature estimates.Tooth_Position_Specific_CrownHeight_BodyLength_Regression_Data.csv<br>Tooth position–specific regression equations and associated source data relating crown height to body length. Provided to allow replication and verification of reported relationships.R code:R script.R<br>Single script that:<br>• creates the folder structure<br>• loads data<br>• runs all analyses (plots, time-bin tests, OLS, mixed-effects, Bayesian MCMCglmm, Monte Carlo resampling)<br>• saves tables, figures, and model objects<br>• logs session information for reproducibility<br>• uses only relative pathsHow to run:Set the working directory to the project root (or open as an RStudio Project).Ensure the following files exist:<br>./data/Data.csv<br>./data/Compilation.xlsxRun:<br>source("R script.R")All results will be saved automatically in the ./outputs/ directory.Software requirements:R version 4.2 or later recommended.Required R packages:<br>ggplot2, dplyr, readr, readxl, lme4, lmerTest, performance, sjPlot,<br>MCMCglmm, coda, tidyr, tibble, stringr, patchworkExact package versions used are recorded in outputs/SESSION_INFO.txt.Reproducibility notes:All analyses use fixed random seeds where applicable.Bayesian models include convergence diagnostics and posterior summaries.Monte Carlo resampling propagates paleotemperature uncertainty using minimum and maximum estimates.All outputs are generated directly from the provided data and code.Citation:Please cite the associated manuscript and this Figshare dataset if you use these data or code.
DOI: 10.71646/4exobm
title: Ember India Electricity Data
title: Ember India Monthly Electricity Statistics

description: Monthly electricity generation, capacity, and emissions data for 36 Indian states/UTs from 2019 to present. Covers generation by fuel type (coal, gas, hydro, nuclear, solar, wind), demand, and estimated CO2 emissions. Available as downloadable CSV under CC-BY-4.0 licence. A convenient structured alternative to official CEA/Grid-India reports for state-level energy analysis.
description: Open Access
DOI: 10.21410/7e4/075l2l/z8c5wu
title: cdsp_bq_sp5_documentation_rapport_enquete.pdf

description: :unav
DOI: 10.21410/7e4/075l2l/v3tw2v
title: cdsp_bq_sp5_documentation_planclassement.pdf

description: :unav
DOI: 10.21410/7e4/075l2l/yxdzih
title: Representations champs social.zip

description: :unav
DOI: 10.21410/7e4/075l2l
title: Représentation du champ social, attitudes politiques et changements socio-économiques (1978)

description: Enquête de Jean-Marie Donégani, Guy Michelat et Michel Simon portant sur les systèmes organisés de représentations, de valeurs, de règles sociales, de codes symboliques et de valorisations affectives qui permettent de rendre compte du comportement politique. Elle fait suite à une précédente recherche sur le lien entre les comportements et attitudes politiques et le niveau d’intégration religieuse. A partir d’entretiens individuels non directifs réalisés dans plusieurs régions en France, juste avant les élections législatives de 1978, l’enquête vise à mieux appréhender un effet de classe, dans ses dimensions objective et subjective. Le corpus comprend les entretiens ainsi que les fiches descriptives et les synthèses qui y sont associées. L’analyse, interprétative, se fonde sur l’abstraction progressive des matériaux (résumés, schémas individuels, schémas par types, quantification). L’enquête propose une typologie fondée sur la description de six modèles culturels émergents : « ça ne va pas si mal », « en tant que catholique », « pour nous, ouvriers », « moi j’ai le cœur à gauche », « il y a trop de laxisme en France » et « tout s’effondre ». Un septième modèle a été proposé une vingtaine d’années plus tard, dans le cadre d’une auto-réanalyse du corpus par Guy Michelat et Michel Simon : « si je votais ce serait plutôt pour l’écologie ». Cette typologie est complétée par une ébauche de classification des enquêtés ainsi qu’une sociologisation de ces modèles culturels.
DOI: 10.21410/7e4/075l2l/d24xll
title: READ ME.txt

description: :unav
DOI: 10.15468/dl.ycyzsg
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clinopodium hydaspidis"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027324-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sexp2h
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA",
 "OccurrenceStatus is Present",
 "TaxonKey is Omphiscola glabra"
 ]
}

 The dataset includes 314 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027318-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvxnts
title: Occurrence Download

description: A dataset containing 3308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4500.0",
 "TaxonKey is one of (Anthropoides paradiseus, Grus paradisea)",
 "Year 1995-2025"
 ]
}

 The dataset includes 3308 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027321-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682051
title: Molecular fingerprint benchmarking datasets

description: This is a collection of several datasets used to benchmark molecular fingerprint algorithms.ms2structures dataset (37,811 compounds)We assembled a curated collection of compounds measured and annotated by tandem mass spectrometry. We merged the training and evaluation data from MS2Deepscore, a deep-learning model for predicting chemical similarity from mass spectra with the overlapping benchmarking set, MassSpecGym.

biostructures dataset (718,067 compounds)Starting from 718,097 biologically relevant compounds drawn from the dataset used by Kretschmer et al. [2025], we removed 30 entries that RDKit could not convert to fingerprints. Using the Classyfire API we added chemical class information for 695,152 compounds.

25-subclasses dataset (75,000 compounds)

Of 25 of the 27 most common chemical subclasses, excluding x and y since they were too easily distinguishable from the rest, 3000 compounds were randomly sampled from the biostructures dataset. This results in a balanced classification dataset.

120-subclasses dataset (120,000 compounds)

This is another classification-task-oriented dataset, now with a random sample of 1000 unique compounds for the 120 most common chemical subclasses from the biostructures dataset.

rascalMCES dataset (5,413,677 compound pairs)We randomly sampled 5,557,963 compound pairs from the ms2structures dataset whose precursor masses differ by at most 100 Da. RascalMCES scores were computed with RDKit on an Intel Core i9-13900K (settings: similarityThreshold=0.05, maxBondMatchPairs=1000, minFragSize=3, timeout=60 s). After excluding 144,286 timed-out pairs, our final benchmarking set contained 5,413,677 pairs
DOI: 10.5281/zenodo.18682050
title: Molecular fingerprint benchmarking datasets

description: This is a collection of several datasets used to benchmark molecular fingerprint algorithms.ms2structures dataset (37,811 compounds)We assembled a curated collection of compounds measured and annotated by tandem mass spectrometry. We merged the training and evaluation data from MS2Deepscore, a deep-learning model for predicting chemical similarity from mass spectra with the overlapping benchmarking set, MassSpecGym.

biostructures dataset (718,067 compounds)Starting from 718,097 biologically relevant compounds drawn from the dataset used by Kretschmer et al. [2025], we removed 30 entries that RDKit could not convert to fingerprints. Using the Classyfire API we added chemical class information for 695,152 compounds.

25-subclasses dataset (75,000 compounds)

Of 25 of the 27 most common chemical subclasses, excluding x and y since they were too easily distinguishable from the rest, 3000 compounds were randomly sampled from the biostructures dataset. This results in a balanced classification dataset.

120-subclasses dataset (120,000 compounds)

This is another classification-task-oriented dataset, now with a random sample of 1000 unique compounds for the 120 most common chemical subclasses from the biostructures dataset.

rascalMCES dataset (5,413,677 compound pairs)We randomly sampled 5,557,963 compound pairs from the ms2structures dataset whose precursor masses differ by at most 100 Da. RascalMCES scores were computed with RDKit on an Intel Core i9-13900K (settings: similarityThreshold=0.05, maxBondMatchPairs=1000, minFragSize=3, timeout=60 s). After excluding 144,286 timed-out pairs, our final benchmarking set contained 5,413,677 pairs
DOI: 10.71646/smslv2
title: PMUY Ujjwala LPG
title: Pradhan Mantri Ujjwala Yojana (PMUY) - LPG Coverage Data

description: District-level data on LPG connections provided under the Ujjwala scheme from 2016 to 2024. Tracks number of connections released, refill patterns, and coverage by district. Available via data.gov.in and the PMUY portal. Important for assessing clean cooking fuel transition and reducing indoor air pollution exposure in climate-vulnerable households.
description: Open Access
DOI: 10.71646/c2yryk
title: Prayas ESMI (Electricity Supply Monitoring Initiative)
title: Electricity Supply Monitoring Initiative (ESMI)

description: Ground-truth electricity supply quality monitoring data from ~200 locations across India from 2014 to 2018. Provides 15-minute interval voltage and supply availability readings from physical monitoring devices installed at consumer premises. Unique independent source for validating satellite-based electricity access estimates. Limited geographic and temporal coverage. Data available for download from Prayas website.
description: Open Access
DOI: 10.71646/b6x48x
title: data.gov.in Hours of Electricity Supply
title: Average Hours of Daily Electricity Supply (Rural/Urban)

description: State-level annual averages of daily hours of electricity supply disaggregated by rural and urban areas from 2018 to 2023. Sourced from power ministry surveys. Annual averages only — no sub-annual or sub-state granularity. Provides a simple but coarse indicator of supply reliability. Available in CSV format via Open Government Data platform.
description: Open Access
DOI: 10.15468/dl.3vcshy
title: Occurrence Download

description: A dataset containing 22030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.63269 -45.78145,159.21486 -45.78145,159.21486 -6.66228,106.63269 -6.66228,106.63269 -45.78145))",
 "HasGeospatialIssue is false",
 "TaxonKey is Eucalyptus viminalis",
 "Year 1990-2026"
 ]
}

 The dataset includes 22030 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027319-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71646/t1sdog
title: HREA Satellite Electricity Access
title: High Resolution Electricity Access (HREA) v1.1

description: Settlement-level estimates of electricity access, power supply reliability, and energy usage for 115 developing countries (2013-2020). Derived from statistical analysis of the complete VIIRS nighttime light imagery archive combined with high-resolution settlement layers. For India, data is split by state. Provides three key indicators: likelihood of electrification (0-1), proportion of nights lit, and calibrated light output. ~30m resolution based on settlement layer. Available as Cloud-Optimised GeoTIFFs on AWS. Key dataset for mapping electricity access gaps.
description: Open Access
DOI: 10.71646/lzx8uj
title: NFMS Dashboard (National Feeder Monitoring System)
title: National Feeder Monitoring System Dashboard

description: Real-time and aggregated data on electricity supply quality at feeder level across Indian DISCOMs, available from July 2024 onwards. Provides hours of supply, outage data, and voltage quality metrics at state and DISCOM levels. Dashboard-based interface; NOT bulk downloadable. Potentially valuable for electricity reliability analysis but access constraints limit analytical use.
description: Restricted Access
DOI: 10.71646/w15sld
title: VIIRS Nighttime Lights V2.1
title: VIIRS Nighttime Lights Annual Composites V2.1

description: Annual composite nighttime light imagery from the VIIRS Day-Night Band sensor at 15 arc-second (~500m) resolution from 2012 to 2023. V2.1 includes average radiance, cloud-free coverage, and quality indicators. Temporal variance in nighttime lights can serve as a proxy for power supply instability. Free registration required. Complements other datasets for energy access analysis.
description: Open Access