cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wm7s9a
title: Occurrence Download

description: A dataset containing 5014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filipendula vulgaris",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 5014 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005628-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jazy3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.93174 8.33616, -81.93084 8.33616, -81.93084 8.33706, -81.93174 8.33706, -81.93174 8.33616))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005630-260126135527185/datasets/export for details.
DOI: 10.5281/zenodo.17816959
title: Past and future multi-year datasets on emissions and exposure to pollutant concentrations in Europe at country level (VALESOR project)

description: The folder is composed of :



a synthetic Excel file that includes a data availability table (depending on the product) and a table with a brief description of the products and the corresponding reference, 

an Excel file for each species provided (i.e. PM2.5, PM10, NOx, O3, SOMO10, SOMO35, CO, SOx, NMVOCs, BaP, Cd, Hg, Pb).


The period covered is 2000-2050, averaged at country level. The provided exposure to pollutant concentrations are those proposed as default values in the VALESOR tool. 

How to cite a specific product from these multiple datasets? Please refer to the "sources" sheet in the Excel summary file to use the appropriate reference corresponding to the product used, as these multiple datasets combine several sources.
DOI: 10.5281/zenodo.17816958
title: Past and future multi-year datasets on emissions and exposure to pollutant concentrations in Europe at country level (VALESOR project)

description: The folder is composed of :



a synthetic Excel file that includes a data availability table (depending on the product) and a table with a brief description of the products and the corresponding reference, 

an Excel file for each species provided (i.e. PM2.5, PM10, NOx, O3, SOMO10, SOMO35, CO, SOx, NMVOCs, BaP, Cd, Hg, Pb).


The period covered is 2000-2050, averaged at country level. The provided exposure to pollutant concentrations are those proposed as default values in the VALESOR tool. 

How to cite a specific product from these multiple datasets? Please refer to the "sources" sheet in the Excel summary file to use the appropriate reference corresponding to the product used, as these multiple datasets combine several sources.
DOI: 10.18419/darus-5597
title: Data for: "The Effect of Particle Shape on their Trajectories in Particle Laden Flows"

description: This dataset contains the scanning electron microscope (SEM) images that are used for the particle shape analysis. The images are generated with the TESCAN Vega3 microscope. The uploaded images are the raw images. Three sample holders are scanned. The images are the basis for the analysis in the Conference Paper "The Effect of Particle Shape on their Trajectories in Particle Laden Flows" presented at AIAA SciTech 2026. (2025-12-09)
DOI: 10.15468/dl.ab54fg
title: Occurrence Download

description: A dataset containing 15092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachysandra terminalis"
 ]
}

 The dataset includes 15092 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005631-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tyfk4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20.18112 31.43066,15.18112 31.43066,15.18112 45.56934,-20.18112 45.56934,-20.18112 31.43066))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hypnophila malagana"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005633-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18268064
title: Tailings Properties Database

description: A comprehensive database of physical, hydraulic, and geomechanical properties of tailings is presented, compiled from published studies and laboratory and field tests. The database brings together essential parameters—grain size distribution, Atterberg limits, density, permeability, consolidation, shear strength, stiffness and liquefaction indices—to support the assessment of tailings deposit behaviour and stability and the development of analytical and empirical models.

Contact person: j.butlanska@igme.es (Joanna Butlanska)

This database is under creation, expansion and will be available shortly

Funding: 

This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Direccion General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González).
DOI: 10.5281/zenodo.18268065
title: Tailings Properties Database

description: A comprehensive database of physical, hydraulic, and geomechanical properties of tailings is presented, compiled from published studies and laboratory and field tests. The database brings together essential parameters—grain size distribution, Atterberg limits, density, permeability, consolidation, shear strength, stiffness and liquefaction indices—to support the assessment of tailings deposit behaviour and stability and the development of analytical and empirical models.

Contact person: j.butlanska@igme.es (Joanna Butlanska)

This database is under creation, expansion and will be available shortly

Funding: 

This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Direccion General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González).
DOI: 10.5281/zenodo.18412841
title: Synthesis-by-design of Ferroelectric Dion–Jacobson 2D Hybrid Organic–Inorganic Perovskites
DOI: 10.5281/zenodo.18412843
title: Synthesis-by-design of Ferroelectric Dion–Jacobson 2D Hybrid Organic–Inorganic Perovskites
DOI: 10.15468/dl.pbu2m3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ommastrephes bartramii",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005634-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd7w5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Filisoma acanthocybii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005636-260126135527185/datasets/export for details.
DOI: 10.15468/dl.yb8zxg
title: Occurrence Download

description: A dataset containing 3332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-139.32061 30.68629,-82.67939 30.68629,-82.67939 53.31371,-139.32061 53.31371,-139.32061 30.68629))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clematis hirsutissima"
 ]
}

 The dataset includes 3332 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005635-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wnj9w
title: Occurrence Download

description: A dataset listing the 118 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.20745 40.07793,-3.19572 40.07795,-3.19575 40.08696,-3.20748 40.08694,-3.20745 40.07793))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 118 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005617-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xegphg
title: Observation of phytoplankton in réserve naturelle du Luitel during the summer of 2024

description: Abundance analysis of phytoplankton of Luitel lake observed using the planktoscope and applying Ecotaxa's semi-automatic taxonomic identification.
DOI: 10.15468/dl.rsdavm
title: Occurrence Download

description: A dataset containing 2219 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-137.90076 29.85786,-67.09924 29.85786,-67.09924 58.14214,-137.90076 58.14214,-137.90076 29.85786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crepis occidentalis"
 ]
}

 The dataset includes 2219 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005637-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e92yph
title: Occurrence Download

description: A dataset containing 3045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myosotis asiatica"
 ]
}

 The dataset includes 3045 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005638-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk783n
title: Occurrence Download

description: A dataset containing 3910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.86512 47.02548,1.96152 47.02548,1.96152 47.09443,1.86512 47.09443,1.86512 47.02548))",
 "HasGeospatialIssue is false",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Animalia",
 "Year 2016-2026"
 ]
}

 The dataset includes 3910 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005640-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3pwj4
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragaria iinumae",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 224 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005642-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gma32z
title: Occurrence Download

description: A dataset containing 5018 records in GBIF matching the query:
SELECT
 '582' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 61.2993700571118
 AND decimalLatitude &lt;= 66.79314043790278
 AND decimalLongitude &gt;= 31.641697361886923
 AND decimalLongitude &lt;= 44.9001961481604
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 5018 records were derived from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005629-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79wxzq
title: Occurrence Download

description: A dataset containing 93413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-96.78887201743207 28.362410327066762, -96.7981668668861 28.363320160427893, -96.80748369843236 28.36260749516019, -96.81646380081514 28.36029978966853, -96.82476149902823 28.35648594960461, -96.83205752604479 28.351312877443977, -96.83807135164511 28.34497977545921, -96.8425719854736 28.33773042891211, -96.84538683578448 28.329843775414684, -96.84640828625491 28.321623132341816, -96.84559774668583 28.313384504373566, -96.84298703491164 28.305444425987254, -96.83867705222528 28.29810780815594, -96.83283381870575 28.29165625460673, -96.82568203401473 28.28633729147317, -96.81749642005079 28.282354916392517, -96.80859118148511 28.279861820906582, -96.79930798643659 28.27895357565124, -96.79000292075554 28.279664993745325, -96.78103290444942 28.281968806655044, -96.77274207700982 28.285776701339465, -96.76544865945127 28.290942680453696, -96.75943278472906 28.297268621577356, -96.75492575516101 28.304511829624673, -96.75210113618711 28.312394301514125, -96.75106803131993 28.320613356482227, -96.75186680503288 28.32885323162331, -96.75446743073452 28.336797202589423, -96.75877054264414 28.344139765798, -96.76461116669691 28.350598412392607, -96.77176500050072 28.355924536388084, -96.7799570102001 28.359913049970643, -96.78887201743207 28.362410327066762))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 93413 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049846-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9mqcb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epipremnum pinnatum (L.) Engl.",
 "Country is Bangladesh"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010383-250525065834625/datasets/export for details.
DOI: 10.15468/dl.8848ea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thevetia peruviana",
 "Country is Uganda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025055-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.20760973.v1
title: Supplementary Figure 7

description: <strong>Supplementary Figure 7. NMR titration of unlabeled TPR2A to 15N-labelled psyn129. a. </strong>The concentration of psyn129 was kept constant at 100 µM (estimated by Lowry assay), while the concentrations of TPR2A varied from 0 µM to 200 µM (estimated by Lowry assay) in increments of 25 µM. The KD value was determined based on the titration data of D119, D121, and E137, the three residues that displayed the largest chemical shift changes upon the addition of TPR2A. Protein concentrations determined by amino acid analysis were used to in fitting the KD value.
DOI: 10.17632/2rvtxpjtfg
title: An ecotope map of the trilateral Wadden Sea

description: These data present the first digital, publicly available, ecotope map of the trilateral Wadden Sea covering the Netherlands, Germany and Denmark. This ecotope map, representative for the time period 2008-2012, was developed on the basis of bathymetry, salinity, flow velocity, exposure time, sediment composition, hard substrates and salt marshes. Ecotopes are discrete classes of the physical environment based on the distributions of communities in an ecosystem. An ecotope map can give a first–order estimate of the potential spatial distribution of species and communities. The use of a single, consistent and well-defined ecotope system makes it possible to compare the proportions of the different ecotopes and compare properties of the tidal basins over the entire trilateral Wadden Sea.

This ecotope map of the trilateral Wadden Sea area followed the ecotope system for coastal waters ZES.1 typology that was developed in the Netherlands. This ecotope system is based on the notion that local physical environmental factors and processes are main determinants of communities. The main physical environmental factors and processes in the ZES.1 system were mean and variability of salinity, substratum type, mean water depth, and hydrodynamics. Class boundaries were used to classify the continuous variables in order to define the ecotopes. The ZES.1 ecotype system hierarchically arranges the ecotope variables on the basis of the dominance of the physical environmental factors and processes in determining community composition.

CORRIGENDUM. In version 1 of June 2019 an error has been made. The class boundary between shallow sublittoral and low intertidal was not set to 4% mean exposure but to 0.001%. This resulted in a too low cover of sublitoral areas. In Version 2 this is corrected. The data file is a zipped file "EctpWZ3L_gpkg.zip" containing a GeoPackage, holding the geographical data (polygons etc.):
	i. 	EcotopeWS3_mp = polygon geodata of ecotope map
	ii.	bivbeds_focc = geodata for eco-element bivalve beds (polygon)
	iii.	eelgrass_presence = geodata for eco-element seagrass aka eelgrass presence (polygon)
	iv. 	EcotopeWS3CodeInterpretation, table explaining how fields in ecotope map should be interpreted
	v.	ZESsmpleCode2Legend, table expanding ZESsimple from code to full legend text.
and includes:
2) a set of QML-files (symbology definition files for QGIS), 
3) a set of SLD-files (symbology layer definition files for GeoServer),
4) three PNG-files to provide the different textures/patterns used in the symbolising the sediment types.
DOI: 10.6084/m9.figshare.13072130.v1
title: Extended data workbook 4 Keyword genes.xlsx

description: Keyword enrichment of gene correlates of of LRRK2, HLA-DQB1 and HCRT.<br>
DOI: 10.6084/m9.figshare.22121936.v1
title: Experimental Particle Volume Concentration

description: Particle volume concentration at different heights above the bed from particle captured by gravity-fed siphons during laboratory experiments
DOI: 10.17632/rhh5rpvxhd
title: Intergrated Multi-omics Sequencing Reveals Metabolic Reprograms in the Progression of ccRCC_spatial_multiome

description: 100 samples from treatment-naive ccRCC patients and 50 matched normal adjacent tissues (NATs) were profiled with whole exon sequencing (WES), whole transcriptome sequencing (WTS), data-independent acquisition (DIA)-based proteome and untargeted metabolome technology to identify the general molecular characteristics of the TJ-RCC cohort. Single-nucleic RNA sequencing, single-nucleic multiome, spatial transcriptome and spatial metabolome were performed on part of these 100 tumors to detail the ITH inside ccRCC.
DOI: 10.17632/48nfn95jc8
title: Cognitive level analysis of STEM Subject Questions - Indian School Boards (ICSE, CBSE, NIOS): 2011 - 2020

description: Name of the project: A comparative study using Bloom’s Taxonomy to evaluate the cognitive levels of secondary school STEM exam questions in Indian School Boards.

Project description: In this research dataset, we provide a collection of 3071 STEM subject assessment questions.  These questions are from grade 10 (school leaving exam) for three different national school boards in India. They are annotated with the most suitable cognitive level based on inter-annotator agreement by three annotator.

Dataset abstract: The three boards are: Indian Certificate of Secondary Education (ICSE), Central Board of Secondary Education (CBSE), and National Institute of Open Schooling (NIOS). The language of the questions are in English. There are total 3071 questions (CBSE - 1274, ICSE - 838, NIOS - 959)
Subject wise division of questions: Science: 1291 (CBSE - 381, ICSE -   522 [Combining Physics, Chemistry and Biology], NIOS -  388), Mathematics: 1780 (CBSE- 893, ICSE -316, NIOS -571).
Data type: Character.

Principal investigator and collaborators: Prof. Syaamantak Das (ET, IIT Bombay), Vijay Prakash (ET, IIT Bombay), Nandagopal KS and Anirban Roy Choudhury (IISER Pune)

Contact information: syaamantak.das@iitb.ac.in
Time period of data collection: June 2022 - July 2022

Subject/keywords: Assessment questions, Indian School Boards, Cognitive level.

Licence: CC BY NC 3.0

Filetype: Compressed file (.zip format) consisting of files in .xlsx format.