cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9th6dj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gekko bonkowskii"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008627-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9mmj9
title: Occurrence Download

description: A dataset containing 2334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z((-72.81038 -41.25845 0,-72.81107 -41.26239 0,-72.8137 -41.2658 0,-72.81978 -41.26655 0,-72.82456 -41.27199 0,-72.82562 -41.2848 0,-72.82872 -41.28947 0,-72.81892 -41.29997 0,-72.80924 -41.3084 0,-72.79244 -41.31104 0,-72.77902 -41.30712 0,-72.76995 -41.29624 0,-72.75753 -41.28048 0,-72.76752 -41.27032 0,-72.78006 -41.26278 0,-72.78033 -41.26255 0,-72.793 -41.25457 0,-72.79732 -41.25198 0,-72.80081 -41.25521 0,-72.80314 -41.25671 0,-72.81038 -41.25845 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2334 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008630-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq3t8m
title: Occurrence Download

description: A dataset containing 961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctiprogne leucopyga",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 961 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008629-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17253688
title: Multilingual Wiki Dataset Sample (5 Languages)

description: This is a preview extract from The Web Index multilingual wiki dataset, built on the data backbone of web.wiki.

Size: 500 rows across 5 languagesLanguages: en English, zh-hans Chinese Simplified, es Spanish, ar Arabic, hi Hindi

What’s inside



Structured fields for content and SEO: id, post_name (slug), url, rank_math_title, rank_math_description, post_title, content_1, content_2, lang_iso

Clean URLs and stable IDs for reproducible experiments

README.txt included with schema notes and usage guidance


Use cases



Multilingual NLP

Machine translation evaluation

Search ranking experiments

Text mining and localization tests


License



This free sample dataset is provided by web.wiki for evaluation, research, and educational purposes only

Redistribution, resale, or repackaging of this dataset, in whole or in part, is not permitted without prior written consent
DOI: 10.15468/dl.s3yuq4
title: Occurrence Download

description: A dataset containing 20703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Andrew Cannon, Andrew Conboy, Andrew Keaveney, Andrew Sabai, Andrew Sebastian, andrewjones8583, andrewshuang, Andy Goerdel - Texas Master Naturalist, Good Water Chapter, Andy Wilson, andyleblanc83, anemonequeen, Anita, anna_h_mhc, anna_shelby, Annabella, Anne Parker, anneke_r, Annie H., annorsillo, Anthony, Anthony Deczynski, Anthony Gaston, Anthony Moth Castagna, aocarroll, aosadzuk, AP, APDP, aplaz, ApusApus, aquadragonfly, arcurra, asgreen, Ash Moulton Lava, Asher P Higgins, Ashley Rodriguez, ashleytheoutsider, askalotl, asob, asteroidia-striatus, asterrosa, athall, atriloba, Aubree Bagwell, augien, augochlora, August Dorien, Aurelle Joseph, Austin Hampton, Austin S, Autumn Bragg)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 20703 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008628-260221153910048/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.31403619
title: Raw data for paper

description: This dataset supports the paper entitled “Understanding Sensitivity and Accuracy of Time-Series Change Detection Algorithm Across Multiple Land Disturbance Scenarios.” It includes the original data used in the study, including validation sample points, accuracy metrics calculated under different parameter combinations, sensitivity analysis results, Pareto-optimal solutions, as well as the underlying numerical values used to generate figures in the manuscript.
DOI: 10.6084/m9.figshare.31403619.v1
title: Raw data for paper

description: This dataset supports the paper entitled “Understanding Sensitivity and Accuracy of Time-Series Change Detection Algorithm Across Multiple Land Disturbance Scenarios.” It includes the original data used in the study, including validation sample points, accuracy metrics calculated under different parameter combinations, sensitivity analysis results, Pareto-optimal solutions, as well as the underlying numerical values used to generate figures in the manuscript.
DOI: 10.5281/zenodo.17253687
title: Multilingual Wiki Dataset Sample (5 Languages)

description: This is a preview extract from The Web Index multilingual wiki dataset, built on the data backbone of web.wiki.

Size: 500 rows across 5 languagesLanguages: en English, zh-hans Chinese Simplified, es Spanish, ar Arabic, hi Hindi

What’s inside



Structured fields for content and SEO: id, post_name (slug), url, rank_math_title, rank_math_description, post_title, content_1, content_2, lang_iso

Clean URLs and stable IDs for reproducible experiments

README.txt included with schema notes and usage guidance


Use cases



Multilingual NLP

Machine translation evaluation

Search ranking experiments

Text mining and localization tests


License



This free sample dataset is provided by web.wiki for evaluation, research, and educational purposes only

Redistribution, resale, or repackaging of this dataset, in whole or in part, is not permitted without prior written consent
DOI: 10.5281/zenodo.18765288
title: Multilingual Wiki Dataset Sample (5 Languages)

description: This is a preview extract from The Web Index multilingual wiki dataset, built on the data backbone of web.wiki.

Size: 500 rows across 5 languagesLanguages: en English, zh-hans Chinese Simplified, es Spanish, ar Arabic, hi Hindi

What’s inside



Structured fields for content and SEO: id, post_name (slug), url, rank_math_title, rank_math_description, post_title, content_1, content_2, lang_iso

Clean URLs and stable IDs for reproducible experiments

README.txt included with schema notes and usage guidance


Use cases



Multilingual NLP

Machine translation evaluation

Search ranking experiments

Text mining and localization tests


License



This free sample dataset is provided by web.wiki for evaluation, research, and educational purposes only

Redistribution, resale, or repackaging of this dataset, in whole or in part, is not permitted without prior written consent
DOI: 10.5281/zenodo.18765290
title: Seismic Site D (Specific)
DOI: 10.5281/zenodo.18765289
title: Seismic Site D (Specific)
DOI: 10.5281/zenodo.18764979
title: Measurements of large whale tissue thickness

description: This dataset represents the compiled measures of whale morphology and tissue thickness at the mid-body, for 8 large whale species. Measures are the average and standard deviation from data collected from scientific publications, field measurements taken by marine mammal response and conservation organizations, and museum archives. 

Measures include:



Body length (cm): Whale's total body length

Total thickness (cm): Radius of a whale's body at mid-body, calculated from girths and body diameters

Girth (cm): Estimated girth calculated as 2*pi*total thickness

Bone (cm): Radius of mid-body vertebrae body

Muscle (cm): Interpolated as the difference between the total thickness and the sum of the thickness of bone, blubber, and skin

Blubber (cm): Thickness of blubber between muscle and skin

Skin (cm): Thickness of skin


Whale species include:



Blue (Balaenoptera musculus)

Fin (Balaenoptera physalus)

Grey (Eschrichtius robustus)

Humpback (Megaptera novaengliae)

Minke (Balaenoptera acutorostrata)

North Atlantic right whale (Eubalaena glacialis)

Sei (Balaenoptera borealis)

Sperm (Physeter macrocephalus)


This data is used in the biophysical model "whalestrike" (R package), which simulates ship collisions with whales and calculates a lethality index. Details on data collection and references are described in the PDF document (Whale_measurements).
DOI: 10.5281/zenodo.18764978
title: Measurements of large whale tissue thickness

description: This dataset represents the compiled measures of whale morphology and tissue thickness at the mid-body, for 8 large whale species. Measures are the average and standard deviation from data collected from scientific publications, field measurements taken by marine mammal response and conservation organizations, and museum archives. 

Measures include:



Body length (cm): Whale's total body length

Total thickness (cm): Radius of a whale's body at mid-body, calculated from girths and body diameters

Girth (cm): Estimated girth calculated as 2*pi*total thickness

Bone (cm): Radius of mid-body vertebrae body

Muscle (cm): Interpolated as the difference between the total thickness and the sum of the thickness of bone, blubber, and skin

Blubber (cm): Thickness of blubber between muscle and skin

Skin (cm): Thickness of skin


Whale species include:



Blue (Balaenoptera musculus)

Fin (Balaenoptera physalus)

Grey (Eschrichtius robustus)

Humpback (Megaptera novaengliae)

Minke (Balaenoptera acutorostrata)

North Atlantic right whale (Eubalaena glacialis)

Sei (Balaenoptera borealis)

Sperm (Physeter macrocephalus)


This data is used in the biophysical model "whalestrike" (R package), which simulates ship collisions with whales and calculates a lethality index. Details on data collection and references are described in the PDF document (Whale_measurements).
DOI: 10.15468/dl.7zj84m
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sitta nagaensis"
 ]
}

 The dataset includes 223 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008632-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snchjg
title: Occurrence Download

description: A dataset containing 7259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-99.13398 17.11415,-91.21724 17.11415,-91.21724 25.96228,-99.13398 25.96228,-99.13398 17.11415))",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 7259 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008634-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q26tcz
title: Occurrence Download

description: A dataset containing 2528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paepalanthus alpinus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2528 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008633-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16986935
title: Multisource Remote Sensing data for training and evaluating deep learning models for glacial Lakes in Himalayas

description: This is multisource remote sensing data consist of 10 bands (Sentinel-2 optical bands (Blue, Green, Red, NIR, NDWI), Sentinel-1 derived SAR Coherence, Landsat8 Thermal band, Slope and Elevation) and corresponding labels (lake boundaries) collected in Himalayas.

Please cite our article  

Saurabh Kaushik, Tejpal Singh, P.K. Joshi, Andreas J. Dietz,Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network,International Journal of Applied Earth Observation and Geoinformation,Volume 115,2022,103085,ISSN 1569-8432,https://doi.org/10.1016/j.jag.2022.103085.(https://www.sciencedirect.com/science/article/pii/S1569843222002734)Abstract: The characteristics of glacial lakes are a precursor to glacier retreat, ice mass loss, velocity, and potential risk of Glacial Lake Outburst Floods (GLOF). The current state of the art for glacial lake mapping, especially in a high mountainous region, is limited to manual or semi-automated threshold-based methods. Here, we propose a fully automated novel approach for glacial lake mapping using a Deep Convolutional Neural Network (DCNN) and remote sensing data originating from various sources. A combination of these multisource remote sensing data (i.e., multispectral, thermal, microwave, and a Digital Elevation Model) is fed to the fully connected DCNN. The DCNN architecture, namely GLNet, is designed by choosing an optimum number and size of convolutional layers, filters, and other hyperparameters. Our proposed GLNet is trained on 660 images covering twelve sites spread across diverse climatic and topographic regions of the Himalaya. The robustness of the model is tested over three sites in the Eastern Himalaya and one site in the Western Himalaya. The classification results outperform the existing state-of-the-art datasets by achieving 0.98 accuracy, 0.95 precision, 0.95 recall, and 0.95 F- score over the test data. The results over test sites (F-score test site1: 0.91, test site 2: 0.80, test site3: 0.97, and test site4: 0.70) showed promising results and spatiotemporal transferability of the proposed method. The coefficient of determination (R2) between GLNet predicted lake boundaries and reference lake boundaries exhibits excellent results (0.90). The study provides proof of concept for automated glacial mapping for large geographical regions via integrated capabilities of deep convolutional neural networks and multisource remote sensing data.Keywords: Convolutional Neural Network; Glacial lakes; Remote sensing; Himalaya
DOI: 10.5281/zenodo.16986936
title: Multisource Remote Sensing data for training and evaluating deep learning models for glacial Lakes in Himalayas

description: This is multisource remote sensing data consist of 10 bands (Sentinel-2 optical bands (Blue, Green, Red, NIR, NDWI), Sentinel-1 derived SAR Coherence, Landsat8 Thermal band, Slope and Elevation) and corresponding labels (lake boundaries) collected in Himalayas.

Please cite our article  

Saurabh Kaushik, Tejpal Singh, P.K. Joshi, Andreas J. Dietz,Automated mapping of glacial lakes using multisource remote sensing data and deep convolutional neural network,International Journal of Applied Earth Observation and Geoinformation,Volume 115,2022,103085,ISSN 1569-8432,https://doi.org/10.1016/j.jag.2022.103085.(https://www.sciencedirect.com/science/article/pii/S1569843222002734)Abstract: The characteristics of glacial lakes are a precursor to glacier retreat, ice mass loss, velocity, and potential risk of Glacial Lake Outburst Floods (GLOF). The current state of the art for glacial lake mapping, especially in a high mountainous region, is limited to manual or semi-automated threshold-based methods. Here, we propose a fully automated novel approach for glacial lake mapping using a Deep Convolutional Neural Network (DCNN) and remote sensing data originating from various sources. A combination of these multisource remote sensing data (i.e., multispectral, thermal, microwave, and a Digital Elevation Model) is fed to the fully connected DCNN. The DCNN architecture, namely GLNet, is designed by choosing an optimum number and size of convolutional layers, filters, and other hyperparameters. Our proposed GLNet is trained on 660 images covering twelve sites spread across diverse climatic and topographic regions of the Himalaya. The robustness of the model is tested over three sites in the Eastern Himalaya and one site in the Western Himalaya. The classification results outperform the existing state-of-the-art datasets by achieving 0.98 accuracy, 0.95 precision, 0.95 recall, and 0.95 F- score over the test data. The results over test sites (F-score test site1: 0.91, test site 2: 0.80, test site3: 0.97, and test site4: 0.70) showed promising results and spatiotemporal transferability of the proposed method. The coefficient of determination (R2) between GLNet predicted lake boundaries and reference lake boundaries exhibits excellent results (0.90). The study provides proof of concept for automated glacial mapping for large geographical regions via integrated capabilities of deep convolutional neural networks and multisource remote sensing data.Keywords: Convolutional Neural Network; Glacial lakes; Remote sensing; Himalaya
DOI: 10.5281/zenodo.18765209
title: Banco de dados e códigos de análise do estudo "Satisfação profissional de cirurgiões-dentistas na atenção primária à saúde por Região de Saúde: estudo transversal, Ceará, 2024"
DOI: 10.5281/zenodo.18765210
title: Banco de dados e códigos de análise do estudo "Satisfação profissional de cirurgiões-dentistas na atenção primária à saúde por Região de Saúde: estudo transversal, Ceará, 2024"
DOI: 10.15468/dl.v4tgv8
title: Occurrence Download

description: A dataset containing 166466541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2006-2026"
 ]
}

 The dataset includes 166466541 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008505-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqfmfs
title: Occurrence Download

description: A dataset containing 814888 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "not" : {
 "PublishingCountry" : [
 "is Norway"
 ]
 }
 },
 "Country is Svalbard and Jan Mayen",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 },
 {
 "not" : {
 "DatasetKey" : [
 "is (Table 3) Relative abundance of Azolla spp., peridinoid dinocysts, gonyaulacoid dinocysts, non-saccate pollen, bisaccate pollen and spores from the Lomonosov Ridge during different Arctic coring expeditions"
 ]
 }
 }
 ]
}

 The dataset includes 814888 records from 840 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008570-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.56x2tf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paravelia confusa",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008637-260221153910048/datasets/export for details.
DOI: 10.15468/dl.g3uvtv
title: Occurrence Download

description: A dataset containing 9288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z((-73.54155 -41.06604 0,-73.40209 -41.13329 0,-73.38285 -41.16281 0,-73.38505 -41.19521 0,-73.51912 -41.22436 0,-73.55283 -41.26249 0,-73.55033 -41.32599 0,-73.44894 -41.32533 0,-73.33827 -41.26137 0,-73.24807 -41.25816 0,-73.18448 -41.28118 0,-73.12825 -41.29978 0,-73.04093 -41.28478 0,-73.04144 -41.25832 0,-73.02332 -41.23713 0,-73.03357 -41.21698 0,-73.03621 -41.21052 0,-73.03441 -41.20711 0,-73.02644 -41.20625 0,-73.03594 -41.14864 0,-73.04716 -41.11798 0,-72.98579 -41.08707 0,-73.00204 -41.01325 0,-73.01528 -40.97211 0,-73.09664 -40.96692 0,-73.12454 -41.00985 0,-73.12446 -41.06081 0,-73.18986 -41.05088 0,-73.23172 -41.02785 0,-73.2896 -41.04927 0,-73.32467 -41.07372 0,-73.36602 -41.07108 0,-73.40306 -41.05961 0,-73.42757 -41.05001 0,-73.47495 -41.03365 0,-73.51149 -41.02699 0,-73.53506 -41.02584 0,-73.55576 -41.03537 0,-73.56241 -41.04659 0,-73.54155 -41.06604 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9288 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008638-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q7kpm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidium cuzcoensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014239-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w468yr
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fallopia baldschuanica",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 273 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014240-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t6dhch
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnocharis flava",
 "Country is Bangladesh",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014241-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps6wzd
title: Occurrence Download

description: A dataset containing 5131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alyssoides utriculata"
 ]
}

 The dataset includes 5131 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014242-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rd7w2v
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinichthys nevadensis"
 ]
}

 The dataset includes 101 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014243-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.