cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29617379
title: Data for "Cenozoic tectono-thermal modeling of the Leiqiong area in the Beibuwan Basin, Southeast China and its geodynamic implications"

description: The estimated total stretching factor, basement heat flow, mantle heat flow, Moho Temperature, Curie interface depth, thermal lithospheric thickness, and anomalous post-rift subsidence data in .txt format for the manuscript "Cenozoic tectono-thermal modeling of the Leiqiong area in the Beibuwan Basin, Southeast China and its geodynamic implications".
DOI: 10.6084/m9.figshare.29617379.v1
title: Data for "Cenozoic tectono-thermal modeling of the Leiqiong area in the Beibuwan Basin, Southeast China and its geodynamic implications"

description: The estimated total stretching factor, basement heat flow, mantle heat flow, Moho Temperature, Curie interface depth, thermal lithospheric thickness, and anomalous post-rift subsidence data in .txt format for the manuscript "Cenozoic tectono-thermal modeling of the Leiqiong area in the Beibuwan Basin, Southeast China and its geodynamic implications".
DOI: 10.15468/dl.24nyjr
title: Occurrence Download

description: A dataset containing 28910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus melas",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28910 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027637-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmv6zh
title: Occurrence Download

description: A dataset containing 1352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium ramosum"
 ]
}

 The dataset includes 1352 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027640-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12543184
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.3f8348
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum brownei",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 64 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027642-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9n7r76
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NABU|naturgucker",
 "TaxonKey is Apis mellifera mellifera"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027643-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk4v34
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca rubra",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027644-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbcqjt
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027646-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ce2gxd
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca rubra",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027645-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5gtdw
title: Occurrence Download

description: A dataset containing 701 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysosplenium kamtschaticum"
 ]
}

 The dataset includes 701 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027647-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7csvek
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorghum halepense",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027648-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ak3xmy
title: Occurrence Download

description: A dataset containing 475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster simonsii",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 475 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027649-250717081556266/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.29617481
title: USTEKINUMAB CONCENTRATIONS INDUCTION IBD

description: This study looked at how the concentration of the drug ustekinumab (UST) during the first weeks of treatment affects gut healing in patients with Crohn’s disease and ulcerative colitis, two types of inflammatory bowel disease (IBD). The researchers followed 70 patients starting UST treatment and measured drug levels in the blood at week 8; then checked how well the treatment was working at week 24 based on clinical symptoms and findings in colonoscopy.Patients with higher UST levels at week 8 were more likely to have better healing of the bowel mucosa at week 24. In particular, patients with UST levels above 4.5 micrograms per milliliter had the best results. This level was a good predictor of who would achieve intestinal healing. However, a higher drug level did not mean that the treatment lasted longer overall.These results suggest that measuring UST levels at the start of treatment could help doctors predict how well a patient will respond to treatment and influence treatment decisions. Further research is needed to confirm that adjusting doses based on early drug levels can improve outcomes for patients with IBD.
DOI: 10.6084/m9.figshare.29617481.v1
title: USTEKINUMAB CONCENTRATIONS INDUCTION IBD

description: This study looked at how the concentration of the drug ustekinumab (UST) during the first weeks of treatment affects gut healing in patients with Crohn’s disease and ulcerative colitis, two types of inflammatory bowel disease (IBD). The researchers followed 70 patients starting UST treatment and measured drug levels in the blood at week 8; then checked how well the treatment was working at week 24 based on clinical symptoms and findings in colonoscopy.Patients with higher UST levels at week 8 were more likely to have better healing of the bowel mucosa at week 24. In particular, patients with UST levels above 4.5 micrograms per milliliter had the best results. This level was a good predictor of who would achieve intestinal healing. However, a higher drug level did not mean that the treatment lasted longer overall.These results suggest that measuring UST levels at the start of treatment could help doctors predict how well a patient will respond to treatment and influence treatment decisions. Further research is needed to confirm that adjusting doses based on early drug levels can improve outcomes for patients with IBD.
DOI: 10.15468/dl.a35a8h
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster simonsii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 183 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027651-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4qrp7
title: Occurrence Download

description: A dataset containing 6474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster simonsii",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6474 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027650-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arnrnb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achillea millefolium, Achillea ptarmica, Alopecurus geniculatus, Arion vulgaris, Arthurdendyus triangulatus, Boletus edulis, Bonnemaisonia hamifera, Branta canadensis, Campylopus introflexus, Carum carvi, Centaurea scabiosa, Chalciporus piperatus, Cygnus olor, Descolea antarctica, Elymus repens, Epilobium ciliatum, Equisetum variegatum, Erythranthe guttata, Globodera pallida, Globodera rostochiensis, Glyceria maxima, Holcus lanatus, Iris pseudacorus, Lactarius quieticolor, Lactarius rufus, Lathyrus pratensis, Lepus timidus, Lotus corniculatus, Lotus pedunculatus, Myosotis discolor, Myrrhis odorata, Oryctolagus cuniculus, Persicaria amphibia, Phalaris arundinacea, Poa trivialis, Pseudopolydora paucibranchiata, Rana temporaria, Rattus norvegicus, Rumex acetosella, Russula sardonia, Sinapis arvensis, Suillus bovinus, Suillus granulatus, Suillus grevillei, Suillus luteus, Tanacetum vulgare, Trifolium repens, Tussilago farfara, Veronica beccabunga, Vicia cracca, Vicia sepium)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 },
 "Geometry MULTIPOLYGON (((-6.333992 62.27205, -6.287109 62.28701, -6.34853 62.30269, -6.387954 62.28254, -6.409764 62.26785, -6.379287 62.23342, -6.321747 62.25466, -6.333992 62.27205)), ((-6.458506 62.30541, -6.481536 62.33183, -6.496907 62.33759, -6.550938 62.38977, -6.569905 62.39277, -6.590402 62.37937, -6.550607 62.35372, -6.546061 62.31128, -6.567375 62.30753, -6.531017 62.27164, -6.524242 62.29216, -6.437403 62.277, -6.415741 62.30809, -6.453656 62.31598, -6.458506 62.30541)))"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027652-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16312888
title: ReFORM Sport-related Concussion Survey

description: The “ReFORM concussion survey” was led by the Réseau Francophone Olympique de la Recherche en Médecine du sport (ReFORM), an international consortium supported by the International Olympic Committee and dedicated to injury prevention research and protection of athletes' health (https://reform-sportscimed.org/). The survey consisted of assessing the level of knowledge of healthcare professionals, athletes, and coaches regarding the occurrence and management of concussions, so that, based on the results, training programs tailored to the needs of stakeholders and athletes could be implemented.

To this end, a questionnaire containing around 30 questions was widely distributed (by email, newsletter, social media, and website) within the ReFORM network. In total, more than 2,000 questionnaires were collected.

This record contains the raw database of the answers collected (in French); the code book of the variables; the full survey in French and the full survey in English. The ReFORM consortium is open to collaborations on this topic and with this database; requests for full access will be assessed on a case by case basis.
DOI: 10.5281/zenodo.16312889
title: ReFORM Sport-related Concussion Survey

description: The “ReFORM concussion survey” was led by the Réseau Francophone Olympique de la Recherche en Médecine du sport (ReFORM), an international consortium supported by the International Olympic Committee and dedicated to injury prevention research and protection of athletes' health (https://reform-sportscimed.org/). The survey consisted of assessing the level of knowledge of healthcare professionals, athletes, and coaches regarding the occurrence and management of concussions, so that, based on the results, training programs tailored to the needs of stakeholders and athletes could be implemented.

To this end, a questionnaire containing around 30 questions was widely distributed (by email, newsletter, social media, and website) within the ReFORM network. In total, more than 2,000 questionnaires were collected.

This record contains the raw database of the answers collected (in French); the code book of the variables; the full survey in French and the full survey in English. The ReFORM consortium is open to collaborations on this topic and with this database; requests for full access will be assessed on a case by case basis.
DOI: 10.5281/zenodo.16311704
title: Dataset and Model Code for Built-up Area Recognition in Chongqing (2015)

description: This dataset and code support the study of high-precision built-up area recognition in Chongqing, China, using multi-source spatial data and attention-based deep learning models.

The dataset includes raster layers for key physical and socio-economic indicators in 2015, such as population density (PD), gross domestic product (GDP), normalized difference vegetation index (NDVI), land surface temperature (LST), digital elevation model (DEM), and nighttime lights (NTL). All rasters are resampled to a 300-meter resolution and aligned in the same spatial coordinate system.

Labeled built-up area positions are provided as raster masks and NumPy arrays. The repository also contains Python scripts for data preprocessing, feature normalization, and label generation.

Additionally, we provide full training and validation code for the deep learning model, including the model architecture, loss functions, training loop, and evaluation logic. The model employs spatial attention mechanisms to effectively capture long-range dependencies in the urban environment.

All data and scripts are shared under the Creative Commons Attribution 4.0 (CC-BY 4.0) license.

This repository enables full reproducibility of the study’s results and figures, in line with the Open Data policy of the journal.
DOI: 10.5281/zenodo.16313528
title: Dataset and Model Code for Built-up Area Recognition in Chongqing (2015)

description: This dataset and code support the study of high-precision built-up area recognition in Chongqing, China, using multi-source spatial data and attention-based deep learning models.

The dataset includes raster layers for key physical and socio-economic indicators in 2015, such as population density (PD), gross domestic product (GDP), normalized difference vegetation index (NDVI), land surface temperature (LST), digital elevation model (DEM), and nighttime lights (NTL). All rasters are resampled to a 300-meter resolution and aligned in the same spatial coordinate system.

Labeled built-up area positions are provided as raster masks and NumPy arrays. The repository also contains Python scripts for data preprocessing, feature normalization, and label generation.

Additionally, we provide full training and validation code for the deep learning model, including the model architecture, loss functions, training loop, and evaluation logic. The model employs spatial attention mechanisms to effectively capture long-range dependencies in the urban environment.

All data and scripts are shared under the Creative Commons Attribution 4.0 (CC-BY 4.0) license.

This repository enables full reproducibility of the study’s results and figures, in line with the Open Data policy of the journal.
DOI: 10.15468/dl.nm47tk
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus melas",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 139 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027653-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7nwe2
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chuquiraga spinosa"
 ]
}

 The dataset includes 321 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027654-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12543227
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.15468/dl.bkyv6u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameiurus melas",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027655-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mf3dyr
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Egretta tricolor)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 38 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027656-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ucty5
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "Country is India",
 "DatasetKey is one of (iNaturalist Research-grade Observations, India Biodiversity Portal publication grade dataset)",
 "GadmGid is IND.17_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, April, May, March, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus",
 "Year 2022-2025"
 ]
}

 The dataset includes 156 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027657-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x38rcp
title: Occurrence Download

description: A dataset containing 9904 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geranium viscosissimum"
 ]
}

 The dataset includes 9904 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027658-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xf7w7
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chuquiraga oppositifolia"
 ]
}

 The dataset includes 738 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027659-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc9ttt
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helichrysum chionoides",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027660-250717081556266/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.15134745
title: HELIO4CAST lineup catalog 3.0 - Solar coronal mass ejection lineup events observed with Solar Orbiter, Parker Solar Probe, BepiColombo, Wind and STEREO-A

description: This is the HELIO4CAST lineup vcatalog, for multipoint observations of interplanetary coronal mass ejection (ICME). This is version 3.0, released 2025-April-25, updated 2025-July-22.The catalog is published at https://helioforecast.space/lineups<b>Rules:</b><b> </b>If this catalog is used for results that are published in peer-reviewed international journals, please contact chris.moestl@outlook.com, eva.weiler@geosphere.at and emma.davies@geosphere.at for possible co-authorships.<br>An initial catalog version was presented in Möstl et al. (2022) ApJLetters, https://iopscience.iop.org/article/10.3847/2041-8213/ac42d0<br>
DOI: 10.6084/m9.figshare.15134745.v12
title: HELIO4CAST lineup catalog 3.0 - Solar coronal mass ejection lineup events observed with Solar Orbiter, Parker Solar Probe, BepiColombo, Wind and STEREO-A

description: This is the HELIO4CAST lineup vcatalog, for multipoint observations of interplanetary coronal mass ejection (ICME). This is version 3.0, released 2025-April-25, updated 2025-July-22.The catalog is published at https://helioforecast.space/lineups<b>Rules:</b><b> </b>If this catalog is used for results that are published in peer-reviewed international journals, please contact chris.moestl@outlook.com, eva.weiler@geosphere.at and emma.davies@geosphere.at for possible co-authorships.<br>An initial catalog version was presented in Möstl et al. (2022) ApJLetters, https://iopscience.iop.org/article/10.3847/2041-8213/ac42d0<br>