cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wbmz73
title: Occurrence Download

description: A dataset containing 158727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((2.479608666666667 32.097476, 2.479608666666667 49.184106666666665, -31.565747 49.184106666666665, -31.565747 32.097476, 2.479608666666667 32.097476))",
 "EventDate is 2016-02-01,2016-02-29"
 ]
}

 The dataset includes 158727 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047999-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpzll6
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hyperolius castaneus Ahl, 1931",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 239 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003903-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6r348s
title: Occurrence Download

description: A dataset containing 49036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.20358 7.95717,-75.21013 7.9563,-75.20834 7.94882,-75.21548 7.94483,-75.22816 7.953,-75.23436 7.92718,-75.2541 7.91861,-75.25309 7.90566,-75.26451 7.90362,-75.25767 7.8969,-75.25919 7.88415,-75.29336 7.8903,-75.30073 7.9131,-75.32617 7.90404,-75.33096 7.92536,-75.34675 7.87497,-75.40435 7.85753,-75.40538 7.84183,-75.41615 7.83906,-75.42244 7.81939,-75.43296 7.81923,-75.45866 7.83384,-75.46738 7.82066,-75.45565 7.80905,-75.45435 7.79754,-75.47729 7.77331,-75.48523 7.73613,-75.48114 7.74209,-75.46628 7.74023,-75.45535 7.74726,-75.44808 7.74293,-75.442 7.71378,-75.4505 7.69565,-75.43885 7.66974,-75.43914 7.63398,-75.43465 7.63867,-75.42244 7.63521,-75.41456 7.64911,-75.38356 7.64407,-75.37938 7.63855,-75.38401 7.63067,-75.37586 7.63107,-75.37366 7.62102,-75.36601 7.61797,-75.36591 7.58364,-75.33575 7.54833,-75.33224 7.53611,-75.27414 7.53406,-75.25831 7.51711,-75.26337 7.50445,-75.25311 7.4948,-75.25981 7.47879,-75.24994 7.46794,-75.2504 7.45696,-75.21607 7.44611,-75.20611 7.42753,-75.21541 7.39709,-75.19425 7.38904,-75.18298 7.37149,-75.1861 7.36177,-75.17562 7.35865,-75.17577 7.35186,-75.16552 7.35606,-75.15369 7.37779,-75.11788 7.37864,-75.11242 7.39079,-75.08161 7.39789,-75.06189 7.41815,-75.04654 7.42449,-75.02692 7.42087,-75.02843 7.40519,-74.99747 7.38359,-74.9955 7.41727,-75.01152 7.42462,-75.03014 7.48916,-75.03632 7.49061,-75.05268 7.47549,-75.06101 7.47723,-75.12902 7.54016,-75.12467 7.5449,-75.11217 7.53689,-75.09584 7.5124,-75.0819 7.51433,-75.069 7.52644,-75.0709 7.53508,-75.06278 7.53608,-75.06286 7.5599,-75.04962 7.55901,-75.04258 7.57372,-75.01961 7.5816,-75.04262 7.61192,-75.03478 7.64948,-75.04394 7.65371,-75.03642 7.66229,-75.04057 7.67071,-75.02843 7.68553,-75.02725 7.70549,-75.02987 7.71303,-75.0404 7.71572,-75.0346 7.73236,-75.02891 7.73362,-75.03327 7.77048,-75.06881 7.77224,-75.09081 7.78394,-75.11006 7.78517,-75.11731 7.80444,-75.1352 7.79724,-75.14395 7.80485,-75.1468 7.79371,-75.16591 7.80133,-75.17391 7.81294,-75.17065 7.83597,-75.1848 7.84924,-75.17662 7.85237,-75.17244 7.86245,-75.17685 7.86658,-75.16454 7.88557,-75.17176 7.90299,-75.16979 7.91731,-75.18111 7.94056,-75.20358 7.95717))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 49036 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0150128-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tadxlu
title: Occurrence Download

description: A dataset containing 8934 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vaccaria hispanica (Mill.) Rauschert"
 ]
}

 The dataset includes 8934 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003903-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxu5ru
title: Occurrence Download

description: A dataset containing 3327 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe vera (L.) Burm.f."
 ]
}

 The dataset includes 3327 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033213-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rum2r6
title: Occurrence Download

description: A dataset containing 1043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nereis zonata sp. persica Fauvel, 1911"
 ]
}

 The dataset includes 1043 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh5r56
title: Occurrence Download

description: A dataset containing 97851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Pisces"
 ]
}

 The dataset includes 97851 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041003-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujvgds
title: Occurrence Download

description: A dataset containing 3377 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sturnira ludovici ludovici"
 ]
}

 The dataset includes 3377 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfyk4g
title: Occurrence Download

description: A dataset containing 1407 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dracaena draco (L.) L."
 ]
}

 The dataset includes 1407 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033197-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akkayx
title: Occurrence Download

description: A dataset containing 1943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemitriccus margaritaceiventer (Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 1943 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a22hv
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hoya lyi H.Lév."
 ]
}

 The dataset includes 96 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005776-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkjawq
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia caerulescens Haw."
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uzby2
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Musa acuminata Colla",
 "Year 2023-2023"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005781-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3oev4k
title: Occurrence Download

description: A dataset containing 6182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nicaragua",
 "Geometry POLYGON((-85.74 11.40,-85.74 11.60,-85.41 11.60,-85.41 11.40,-85.74 11.40))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6182 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003904-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzkf89
title: Occurrence Download

description: A dataset containing 17831 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hydrilla verticillata (L.f.) Royle"
 ]
}

 The dataset includes 17831 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005788-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgjbc4
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Narcissus cavanillesii Barra & G.López"
 ]
}

 The dataset includes 54 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011145-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14800319
title: Annex to Conexus project deliverable D1.5

description: On the 14th of September 2021 ICLEI Europe and the University of Sheffield co-organised an online workshop with Studienstiftung scholars to discuss how young people and early career researchers professionals perceive global and societal challenges in relation to nature-based solutions, and how to bring these perspectives into the conception, framing and development of educational and capacity-building programmes. The participants split into four virtual rooms where they approached the discussion through one of the given knowledge fields: social (15 participants), cultural (9 participants), economic (12 participants) and environmental (10 participants). The outputs of each group were collected in the form of virtual whiteboards. Analysed data from focus groups activities are available in the respective project report via Zenodo 10.5281/zenodo.14514359. Raw data, i.e. contributions in the form of virtual post-it notes, are presented here.
DOI: 10.5281/zenodo.14800320
title: Annex to Conexus project deliverable D1.5

description: On the 14th of September 2021 ICLEI Europe and the University of Sheffield co-organised an online workshop with Studienstiftung scholars to discuss how young people and early career researchers professionals perceive global and societal challenges in relation to nature-based solutions, and how to bring these perspectives into the conception, framing and development of educational and capacity-building programmes. The participants split into four virtual rooms where they approached the discussion through one of the given knowledge fields: social (15 participants), cultural (9 participants), economic (12 participants) and environmental (10 participants). The outputs of each group were collected in the form of virtual whiteboards. Analysed data from focus groups activities are available in the respective project report via Zenodo 10.5281/zenodo.14514359. Raw data, i.e. contributions in the form of virtual post-it notes, are presented here.
DOI: 10.15468/dl.nhta7m
title: Occurrence Download

description: A dataset containing 72466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Burhinus oedicnemus harterti Vaurie, 1963, Burhinus indicus (Salvadori, 1866), Esacus recurvirostris (Cuvier, 1829), Esacus magnirostris (Vieillot, 1818))"
 ]
}

 The dataset includes 72466 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011146-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxj8n8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Haematopus ostralegus buturlini Dementiev, 1941"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011147-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14800362
title: Global Circular Fashion Market 2025 To 2033

description: Circular Fashion Market Size, Trends and Insights By Product Type (Apparel, Accessories, Footwear, Others), By Textile Source (Organic, Recycled, Reused, Natural Materials, Others), By Distribution Channel (Online, Offline, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Circular Fashion Market was valued at USD 6.4 Billion in 2024 and is expected to reach USD 13.8 Billion by 2033, at a CAGR of 7.8% during the forecast period 2024 – 2033.

In the fashion industry, the term circular fashion describes a strategy that tries to establish a closed-loop system, minimize waste, and extend the life of fabrics and apparel.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51752
DOI: 10.5281/zenodo.14800363
title: Global Circular Fashion Market 2025 To 2033

description: Circular Fashion Market Size, Trends and Insights By Product Type (Apparel, Accessories, Footwear, Others), By Textile Source (Organic, Recycled, Reused, Natural Materials, Others), By Distribution Channel (Online, Offline, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Circular Fashion Market was valued at USD 6.4 Billion in 2024 and is expected to reach USD 13.8 Billion by 2033, at a CAGR of 7.8% during the forecast period 2024 – 2033.

In the fashion industry, the term circular fashion describes a strategy that tries to establish a closed-loop system, minimize waste, and extend the life of fabrics and apparel.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51752
DOI: 10.15468/dl.79d76g
title: Occurrence Download

description: A dataset containing 12700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dromas ardeola Paykull, 1805"
 ]
}

 The dataset includes 12700 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011148-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gmr39
title: Occurrence Download

description: A dataset containing 6048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ibidorhyncha struthersii Vigors, 1832"
 ]
}

 The dataset includes 6048 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011149-250127130748423/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.28342439
title: The DSAT structure analysis dataset for 1981−2020 global TCs

description: Climate change has been linked to tropical cyclone (TC) poleward migration, TCextreme precipitation, and an increased proportion of major hurricanes. Understandingpast TC trends and variability is critical for projecting future TC impacts on humansociety. However, past trends in TC structure and energy remain uncertain due tolimited observations; subjection analyses and inherent spatiotemporal heterogeneity ofbest-track data have led to reduced confidence in the assessed TC responses to thechanging climate. The DSAT uses deep learning to reconstruct past "observations" andyield an objective global TC wind profile dataset during 1981‒2020, facilitating acomprehensive examination of TC intensity (Vmax), structure, and integrated kineticenergy (IKE). The proposed model converts multichannel satellite imagery to a 0-750-km wind profile of axisymmetric surface winds; it is trained based on labeled dataintegrating best tracks and numerical model reanalysis of 2004–2018 TCs.The DSAT model (Chen et al. 2025) features a hybrid GAN-CNN architecture (Chen B et al., 2021a), incorporating a generative adversarial network (GAN, Goodfellow et al., 2014) module and a polar convolutional neural network (CNN, Krizhevsky et al., 2012; Chen B et al., 2021b) regressor. The DSAT GAN module is trained to generate synthetic VIS images (VIS*) based on all-time available infrared (IR) and water vapor (WV) images, enabling the indirect take advantage of original VIS images to train the CNN regressor. On the other hand, the CNN regressor, employing a "polar-convolution filter" design (Chen B et al., 2021b), extracts essential features from satellite images and regresses these features to labeled wind profiles of azimuthally averaged winds.Chen, B. F., Chen, B., Hsiao, C. M., Teng, H. F., Lee, C. S., & Kuo. H. C. (2025). Constructing Deep Learning Datasets to Reveal Climate Trends of Tropical Cyclone Intensity and Structure Extremes. Artificial Intelligence for the Earth Systems (accepted with revision).<br>
DOI: 10.5281/zenodo.14800385
title: Global Athletic Footwear Market 2025 To 2033

description: Athletic Footwear Market Size, Trends and Insights By Product Type (Sports Shoes, Running and Walking Shoes, Hiking and Backpacking Shoes, Aerobic and Gym Wear Shoes), By Distribution Channel (Specialty Stores, Retail Outlets, Department Stores, Online), By End-use Industry (Men, Women, Kids), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Athletic Footwear Market was valued at USD 48.8 Billion in 2024 and is expected to reach USD 75.5 Billion by 2033, at a CAGR of 4.9% during the forecast period 2024 – 2033.

Athletic footwear is more flexible and durable than other sports footwear. The demand for footwear items is being driven by rising fitness trends and rising levels of public participation in sports.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51718
DOI: 10.5281/zenodo.14800386
title: Global Athletic Footwear Market 2025 To 2033

description: Athletic Footwear Market Size, Trends and Insights By Product Type (Sports Shoes, Running and Walking Shoes, Hiking and Backpacking Shoes, Aerobic and Gym Wear Shoes), By Distribution Channel (Specialty Stores, Retail Outlets, Department Stores, Online), By End-use Industry (Men, Women, Kids), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Athletic Footwear Market was valued at USD 48.8 Billion in 2024 and is expected to reach USD 75.5 Billion by 2033, at a CAGR of 4.9% during the forecast period 2024 – 2033.

Athletic footwear is more flexible and durable than other sports footwear. The demand for footwear items is being driven by rising fitness trends and rising levels of public participation in sports.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51718
DOI: 10.5281/zenodo.14634738
title: Machine Learning-Enhanced High-Resolution Exposure Assessment of Ultrafine Particles(Mini Dataset + Stem-PNC weights)
DOI: 10.15784/601192
title: NBP1704 CTD sensor data

description: Ocean profile data from a SeaBird SBE 911plus CTD package deployed on the NBP1704 PIPERS cruise in the Ross Sea (Apr 11 to Jun 10, 2017).
DOI: 10.1594/pangaea.898788
title: Meteorological observations during POLAR 5 campaign PAMARCMIP 2018
DOI: 10.1594/pangaea.899508
title: Raw data of POLAR 5 campaign PAMARCMIP 2018
DOI: 10.1594/pangaea.914261
title: Land Cover and Change Thematic and Validation Datasets for Sub-Saharan Africa

description: Land cover and land cover change maps were created within the European Commission's Copernicus Global Land Monitoring Service's Hot-Spot Monitoring framework program. During the program's first phase, a total of 560442km2 area in Sub-Saharan Africa was mapped, from which 153665km2 was mapped with 8 land cover classes while 406776km2 was mapped with up to 32 classes based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which thematic land cover and change maps were derived. Each map was fully verified and validated by an independent team to achieve Copernicus' strict data quality requirements.Independent validation datasets for each KLCs were also collected and they are presented here. The validation datasets contain 35671 verified points for two dates (LC and LCC). Furthermore, a predefined symbology (QGIS legend file) for the land cover/change and validation datasets based on FAO's Land Cover Classification System is also shared here to ease the visualization of them. Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring, Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, 12-3001-2020, https://doi.org/10.5194/essd-12-3001-2020.
description: There are twelve datasets shared as a supplement to the “Key Landscapes for Conservation Land Cover and Change Monitoring, Thematic and Validation Datasets for Sub-Saharan Africa” publication here. Data format: vector (shapefile, polygon (LC/LCC dataset), point (validation dataset),Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022),Minimum mapping unit: 0.5-5ha.Land cover and land cover change dataset attributes:[mapcode_A] - dichotomous class,[mapcode_B] - modular class,[name_A] - corresponding dichotomous class names (KLCs classified only at the dichotomous level),[name_B] - corresponding modular class name.Validation dataset attributes:[plaus201X] - land cover,[plaus2000X] - land cover change.The naming of all attributes follow the same structure in all shapefiles – see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication.