cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-xg7-duak
title: Narrated (In)justice - Casus 1: De koloniale schadeclaims, Interview 4
title: De weduwen van Rawagede

description: &lt;p&gt;Ibu Wilem is de schoondochter van Ibu Lasmi binti Kasilan (1921–2015) die op 26 jarige leeftijd haar man Sukri verloor toen hij werd doodgeschoten door één van de Nederlandse militairen: ‘Lasmi behandelde mij alsof ik haar eigen dochter was. Ik heb 40 jaar bij haar gewoond. […] Ibu Lasmi heeft dit nieuwe huis voor mij gekocht. Het oude huis is verkocht. De opbrengst werd voornamelijk gebruikt om de schuld van mijn overleden echtgenoot af te lossen. Daarna bouwden we dit nieuwe huis met het Nederlandse geld. […] Maar Ibu Lasmi was altijd ziek, waardoor we het meeste geld aan medische hulp hebben uitgegeven.’ Zij vertelt wat Ibu Lasmi had mee gemaakt, wat in 1947 aan de rivier achter hun huis gebeurde, en hoe moeilijk het is voor haar als vrouw alleen.&lt;/p&gt;
description: Date: Interviews gehouden in oktober 2015
DOI: 10.15468/dl.f9e2b7
title: Occurrence Download

description: A dataset containing 2592216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Pl@ntNet observations",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2592216 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025783-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3eqrm2
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Coilia nasus"
 ]
}

 The dataset includes 156 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025828-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14803511
title: Epistemic Beliefs, Perceived Responsibilities, and Information Asymmetry in Energy Modelling - a Survey with Modellers

description: This dataset contains the survey data supporting the following article:Bock, Franziska, and Stefan Pfenninger-Lee. 2025. ‘Rarely Pure and Never Simple: Exploring Perceptions of Truth and Objectivity in Energy Modelling and Scenarios’. Energy Research & Social Science 127 (September): 104229. https://doi.org/10.1016/j.erss.2025.104229. The data capture 166 responses to a questionnaire examining attitudes and epistemic beliefs about mathematical modelling and scenario development for long-term energy planning and climate policy. It includes 18 Likert-scale statements across nine themes informed by established instruments on epistemic beliefs. Each theme pairs opposing statements to capture nuanced opinions. Further, the dataset includes the respondents' perspectives on the division of responsibilities as well as the information asymmetry between a modeller and a policymaker, and open-ended questions for qualitative feedback. Demographic information was collected to reflect diversity in modelling roles, disciplinary backgrounds, and regional contexts.
DOI: 10.5281/zenodo.14803512
title: Epistemic Beliefs, Perceived Responsibilities, and Information Asymmetry in Energy Modelling - a Survey with Modellers

description: This dataset contains the survey data supporting the following article:Bock, Franziska, and Stefan Pfenninger-Lee. 2025. ‘Rarely Pure and Never Simple: Exploring Perceptions of Truth and Objectivity in Energy Modelling and Scenarios’. Energy Research & Social Science 127 (September): 104229. https://doi.org/10.1016/j.erss.2025.104229. The data capture 166 responses to a questionnaire examining attitudes and epistemic beliefs about mathematical modelling and scenario development for long-term energy planning and climate policy. It includes 18 Likert-scale statements across nine themes informed by established instruments on epistemic beliefs. Each theme pairs opposing statements to capture nuanced opinions. Further, the dataset includes the respondents' perspectives on the division of responsibilities as well as the information asymmetry between a modeller and a policymaker, and open-ended questions for qualitative feedback. Demographic information was collected to reflect diversity in modelling roles, disciplinary backgrounds, and regional contexts.
DOI: 10.15468/dl.r22953
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus cyclolepis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((40.81373 29.26705, 40.81373 50.94, -6.6 50.94, -6.6 29.26705, 40.81373 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025827-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87thju
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Geometry POLYGON ((45.66 11.3473, 45.0861 11.0599, 46.1382 11.0599, 46.1382 11.2722, 45.66 11.3473))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025829-250827131500795/datasets/export for details.
DOI: 10.15468/dl.325pw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradoxornis paradoxus",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025832-250827131500795/datasets/export for details.
DOI: 10.15468/dl.kygyvh
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.11_1",
 "TaxonKey is Cerambyx cerdo"
 ]
}

 The dataset includes 66 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025830-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14883782
title: Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere

description: The current repository contains inputs, products and codes associated with the study by Rosu et al., "Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere". This study investigates the short-term large-scale weather impacts of the 2023 Canadian wildfire emissions through the use the Earth System Model (ESM) EC-Earth3 [1]. It is noted that for this work, the EC-Earth3-AerChem configuration [2] (FORCes branch) was used. For the needs of this work, two sets of simulations took place, one while considering the fire emissions (NX) and one without (NC). Regarding the emissions used, the GFAS wildfire emission dataset was applied (refer to Kaiser et al. [3] and to [4]), while for the rest of the emissions, i.e. natural and anthropogenic, refer to van Noije et al. [2] and to [5]. The current repository contains the output derived from the aforementioned simulations, specifically black carbon AOD, cloud cover, organic AOD, total AOD, net downward radiation flux, secondary organic AOD, surface atmospheric pressure, atmospheric temperature, zonal wind, and meridional wind. Moreover, this repository also contains the MODIS AOD data [6] used in the study and the Python code used for post-processing the EC-Earth3 output. Finally, the AERONET V3 [7] and the MERRA-2 dataset [8] were also used in this work. 

References

[1] Döscher et al. (2022) The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geosci Model Dev 15:2973–3020. https://doi.org/10.5194/gmd-15-2973-2022

[2] van Noije et al. (2021) EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6. Geosci Model Dev 14:5637–5668. https://doi.org/10.5194/gmd-14-5637-2021

[3] Kaiser et al. (2012) Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 9:527–554. https://doi.org/10.5194/bg-9-527-2012

[4] Copernicus Atmosphere Monitoring Service. CAMS Global Fire Assimilation System (GFAS) [Dataset]. ECMWF. https://ads.atmosphere.copernicus.eu/datasets/cams-global-fire-emissions-gfas

[5] EC-Earth Consortium (EC-Earth) (2020). EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP ssp370. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4885  

[6] NASA Earth Observations, MODIS Aerosol Optical Depth (MODAL2_M_AER_OD) [Dataset]. NASA GSFC. https://neo.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_AER_OD   

[7] NASA Goddard Space Flight Center, Aerosol Robotic Network (AERONET) Version 3 [Dataset]. NASA.  https://aeronet.gsfc.nasa.gov/new_web/draw_map_display_inv_v3.html  

[8] Global Modeling and Assimilation Office (GMAO) (2015), MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/VJAFPLI1CSIV
DOI: 10.5281/zenodo.14899118
title: Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere

description: The current repository contains inputs, products and codes associated with the study by Rosu et al., "Large-scale impacts of the 2023 Canadian wildfires on the Northern Hemisphere atmosphere". This study investigates the short-term large-scale weather impacts of the 2023 Canadian wildfire emissions through the use the Earth System Model (ESM) EC-Earth3 [1]. It is noted that for this work, the EC-Earth3-AerChem configuration [2] (FORCes branch) was used. For the needs of this work, two sets of simulations took place, one while considering the fire emissions (NX) and one without (NC). Regarding the emissions used, the GFAS wildfire emission dataset was applied (refer to Kaiser et al. [3] and to [4]), while for the rest of the emissions, i.e. natural and anthropogenic, refer to van Noije et al. [2] and to [5]. The current repository contains the output derived from the aforementioned simulations, specifically black carbon AOD, cloud cover, organic AOD, total AOD, net downward radiation flux, secondary organic AOD, surface atmospheric pressure, atmospheric temperature, zonal wind, and meridional wind. Moreover, this repository also contains the MODIS AOD data [6] used in the study and the Python code used for post-processing the EC-Earth3 output. Finally, the AERONET V3 [7] and the MERRA-2 dataset [8] were also used in this work. 

References

[1] Döscher et al. (2022) The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geosci Model Dev 15:2973–3020. https://doi.org/10.5194/gmd-15-2973-2022

[2] van Noije et al. (2021) EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6. Geosci Model Dev 14:5637–5668. https://doi.org/10.5194/gmd-14-5637-2021

[3] Kaiser et al. (2012) Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 9:527–554. https://doi.org/10.5194/bg-9-527-2012

[4] Copernicus Atmosphere Monitoring Service. CAMS Global Fire Assimilation System (GFAS) [Dataset]. ECMWF. https://ads.atmosphere.copernicus.eu/datasets/cams-global-fire-emissions-gfas

[5] EC-Earth Consortium (EC-Earth) (2020). EC-Earth-Consortium EC-Earth3-AerChem model output prepared for CMIP6 ScenarioMIP ssp370. Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4885  

[6] NASA Earth Observations, MODIS Aerosol Optical Depth (MODAL2_M_AER_OD) [Dataset]. NASA GSFC. https://neo.gsfc.nasa.gov/view.php?datasetId=MODAL2_M_AER_OD   

[7] NASA Goddard Space Flight Center, Aerosol Robotic Network (AERONET) Version 3 [Dataset]. NASA.  https://aeronet.gsfc.nasa.gov/new_web/draw_map_display_inv_v3.html  

[8] Global Modeling and Assimilation Office (GMAO) (2015), MERRA-2 tavg1_2d_slv_Nx: 2d,1-Hourly,Time-Averaged,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/VJAFPLI1CSIV
DOI: 10.15468/dl.82rvnz
title: Occurrence Download

description: A dataset containing 1994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hantzschia amphioxyss, Hapalosiphon, Heteroleibleinia, , Hippodonta, Homoeothrix, Kirchneriella, Klebsormidium, Kobayasiella, Kobayasiella subtilissima, Lagerheimia, Lemnicola, , Luticola goeppertiana, Dorofeyukea, Lyngbya, Melosira, Melosira varians, Merismopedia, Micractinium, Micrasterias, Microcystis, Monoraphidium, Mougeotia, Navicula angusta, Navicula antonii, Navicula capitatoradiata, Navicula cincta, Navicula cryptocephala, Navicula cryptotenelloides, Navicula erifuga, Navicula germainii, Navicula gregaria, Navicula heimansioides, Navicula libonensis, Navicula longicephala, Navicula minima, Navicula, Navicula notha, Navicula radiosa, Navicula ranomafanensis, Navicula recens, Navicula reichardtiana, Navicula rhynchocephala, Navicula riediana, Navicula rostellata, Navicula schroeteri, Navicula symmetrica, Navicula tripunctata, Navicula trivialis, Navicula veneta, Navicula zanoni, Navicymbula, Nitzschia, , Nitzschia agnewii, , Nitzschia archibaldii, Nitzschia aurariae, Nitzschia capitellata, , Nitzschia closterium, Nitzschia desertorum, Nitzschia dissipata, Nitzschia etoshensis, Nitzschia filiformis, , , Nitzschia intermedia, Nitzschia irremissa, Nitzschia liebetruthii, , Nitzschia littorea, , , Nitzschia nana, Nitzschia pura, , Nitzschia recta, Nitzschia sublinearis, Nitzschia communis, Nostoc, Nostoc commune, Oedogonium, Oedogonium minus, Oocystis, Orthoseira, Oscillatoria, Oscillatoria princeps, Oscillatoria sancta, Oscillatoria tenuis, Oxyneis, Palmella, Pediastrum, Pediastrum duplex, Phacus, Phormidium, Pinnularia acrosphaeria, Pinnularia, )",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 1994 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025833-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/r5gx-yw47
title: "Papaya Leaves"

description: "Accurate identification of nutrients and micronutrients in papaya plants is essential for farmers to ensure healthy growth and improve the quality and taste of the fruit. Traditional manual methods exist for this purpose, but they are often time-consuming and less reliable. In contrast, machine learning models can perform the same task more efficiently and with higher accuracy by analyzing images of the plant leaf.This dataset has been developed to serve as input for Machine Learning, Deep Learning, and Convolutional Neural Network (CNN) models. The images were collected from local fields in Shahada, District Nandurbar, Maharashtra, India, using a Vivo X80 smartphone with a high resolution of 1864 \u00d7 2192 pixels."
DOI: 10.34894/p4gm40
title: Dimethyl sulfoxide conditions induced pluripotent stem cells for more efficient nephron progenitor and kidney organoid differentiation

description: The field of human induced pluripotent stem cells (hiPSCs) has seen significant progress since the discovery of reprogramming somatic cells using the transcription factors Oct4, Sox2, Klf4, and c-Myc. hiPSCs are similar to embryonic stem cells in a primed state of pluripotency and have the potential to differentiate into any adult human cell type, offering a versatile tool for research and potential therapeutic applications. However, the efficiency of differentiation protocols for generating complex structures with multiple cell types, like kidney organoids, remains a challenge. This study investigates the impact of treating hiPSCs with a low-dose dimethyl sulfoxide to enhance kidney organoid differentiation using a well-established protocol from literature. We found that treating hiPSCs with 1-2% DMSO affects gene expression of pluripotent transcription factors, the epigenetic landscape, and hiPSC colony morphology. Our findings also suggest DMSO treatment enhances the expression of key metanephric mesenchyme nephron progenitor marker, SIX2 after 9 days of kidney organoid differentiation and helps improve hiPSC differentiation protocol efficiency toward the development of tubular kidney organoids. Further research is needed to fully elucidate the mechanisms underlying these effects and refine the differentiation process for potential in vitro research applications in biomedical research and drug development.
DOI: 10.15468/dl.keq3az
title: Occurrence Download

description: A dataset containing 2566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nymphaea nouchali",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2566 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025834-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5parb
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Enteromius apleurogramma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 203 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025835-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fvg9f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Geometry POLYGON ((37.3005 22.3477, 37.1382 22.4869, 37.1382 20.0599, 37.7663 20.0599, 37.7668 21.2899, 37.3972 21.7772, 37.3005 22.3477))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025836-250827131500795/datasets/export for details.
DOI: 10.15468/dl.pej9pc
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia humifusa",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 329 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025840-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcus43
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbus euboicus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((40.81373 29.26705, 40.81373 50.94, -6.6 50.94, -6.6 29.26705, 40.81373 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025839-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsedxd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia humifusa",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025841-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrcu77
title: Occurrence Download

description: A dataset containing 2669081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((107.5 24.5,141.5 24.5,141.5 34.5,107.5 34.5,107.5 24.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2669081 records from 1021 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025811-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa6fv7
title: Occurrence Download

description: A dataset containing 109312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Clamator jacobinus"
 ]
}

 The dataset includes 109312 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025775-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uv2z72
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opuntia humifusa",
 "Country is Bulgaria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025842-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur7ccc
title: Occurrence Download

description: A dataset containing 188828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is Pakistan",
 "GadmGid is PAK.7_1"
 ]
}

 The dataset includes 188828 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025741-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.