cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sudg53
title: Occurrence Download

description: A dataset containing 60619 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 {
 "or" : [
 "Country is Costa Rica",
 "Country is Guatemala",
 "Country is Mexico",
 "Country is Panama",
 "Country is Honduras"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Henicorhina leucophrys (Tschudi, 1844)"
 ]
}

 The dataset includes 60619 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0333729-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b8283z
title: Occurrence Download

description: A dataset containing 4981766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year is 2013",
 "Month is January",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match none, Individual count invalid, Individual count conflicts with occurrence status, Presumed swapped coordinate)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 4981766 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137535-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjxwx8
title: Occurrence Download

description: A dataset containing 1930 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.6_1)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Ochotona princeps saxatilis Bangs, 1899, Ochotona princeps (Richardson, 1828))"
 ]
 }
 ]
}

 The dataset includes 1930 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0333739-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6jhf7
title: Occurrence Download

description: A dataset containing 24442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pseudosamanea guachapele (Kunth) Harms, Pseudosamanea Harms)"
 ]
}

 The dataset includes 24442 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144541-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmbex3
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erysiphe platani (Howe) U.Braun & S.Takam., Erysiphe pseudacaciae (P.D.Marchenko) U.Braun & S.Takam.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 240 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240403-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mam2uu
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sudamerlycaste grandis Archila"
 ]
}

 The dataset includes 30 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002837-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfnt4m
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synuchus melantho (Bates, 1883)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 890 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0310266-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9j26bv
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus tunicatus Phil."
 ]
}

 The dataset includes 77 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007154-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhby7q
title: Occurrence Download

description: A dataset containing 34004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calla palustris L., Callidium aeneum (Degeer, 1775))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 34004 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0313871-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kmz2f4w666
title: Causal AI for Airline Pricing

description: This repository is related to the paper Causal impacts of airline pricing strategies on passenger demand: A comparative evaluation of traditional and causal machine learning approaches
DOI: 10.17632/kmz2f4w666.1
title: Causal AI for Airline Pricing

description: This repository is related to the paper Causal impacts of airline pricing strategies on passenger demand: A comparative evaluation of traditional and causal machine learning approaches
DOI: 10.17632/h6sr8xwpv5.1
title: Raman Spectroscopy Detects Compositional Changes between Idiopathic and Non-Idiopathic Human Interstitial Lung Disease Biopsies_Supplementary

description: Supplementary material to "Raman Spectroscopy Detects Compositional Changes between Idiopathic and Non-Idiopathic Human Interstitial Lung Disease Biopsies"
DOI: 10.17632/y4ystwbxz5
title: Baseline Climatology of Gravity Waves from 30 to ~70 km Established with Lidar Observations over a Decade at McMurdo (77.84ºS, 166.679ºE), Antarctica: Implications for Vertical Wave Evolution

description: Data to accompany Jandreau and Chu (2025)
DOI: 10.15468/dl.43wmqz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Srilankamys ohiensis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037505-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y4ystwbxz5.3
title: Baseline Climatology of Gravity Waves from 30 to ~70 km Established with Lidar Observations over a Decade at McMurdo (77.84ºS, 166.679ºE), Antarctica: Implications for Vertical Wave Evolution

description: Data to accompany Jandreau and Chu (2025)
DOI: 10.6084/m9.figshare.30104323
title: Filter mesh size and second antenna length & width data

description: ID: identifier of individualsriver: River Rhine, River Tiszaspecies: CC: <i>C.</i> <i>curvispinum</i>; CM: <i>C. maeoticum</i>; CR: <i>C. robustum</i>; CS: <i>C. sowinskyi</i>length: body length in mmsex: F: female, M: male, J: juvenileFMS: filter mesh size in μmW0: antenna width in mmL1,L2,L3: antenna length in mmsite_code: as in Table 1
DOI: 10.6084/m9.figshare.30104323.v2
title: Filter mesh size and second antenna length & width data

description: ID: identifier of individualsriver: River Rhine, River Tiszaspecies: CC: <i>C.</i> <i>curvispinum</i>; CM: <i>C. maeoticum</i>; CR: <i>C. robustum</i>; CS: <i>C. sowinskyi</i>length: body length in mmsex: F: female, M: male, J: juvenileFMS: filter mesh size in μmW0: antenna width in mmL1,L2,L3: antenna length in mmsite_code: as in Table 1
DOI: 10.6084/m9.figshare.30104323.v1
title: C_maeoticum_data.csv

description: ID: identifier of individualsriver: River Rhine, River Tiszaspecies: CC: <i>C.</i> <i>curvispinum</i>; CM: <i>C. maeoticum</i>; CR: <i>C. robustum</i>; CS: <i>C. sowinskyi</i>length: body length in mmsex: F: female, M: male, J: juvenileFMS: filter mesh size in μmsite_code: as in Table 1
DOI: 10.17632/rt3w6xmkyr.1
title: ¿Cómo influyen los estilos de liderazgo en las SMEs?

description: Este archivo muestra el proceso de codificación en torno a una revisión sistemática de los estilos de liderazgo.
DOI: 10.17632/chpxtwb59r
title: preferred_colleague_dataset

description: This dataset provides a basis for analyzing human colleague preferences. It contains 2,200 proband face images, including 2,000 real faces taken from the SCUT-FBP5500-Database balanced by gender and ethnicity (Asian/Caucasian) and 200 synthetically generated faces. Preference judgments were collected from 451 diverse annotators. The repository includes the face images, raw data matrix, and annotator demographics, supporting research on bias and the development of fairer AI models.
DOI: 10.17632/chpxtwb59r.1
title: preferred_colleague_dataset

description: This dataset provides a basis for analyzing human colleague preferences. It contains 2,200 proband face images, including 2,000 real faces taken from the SCUT-FBP5500-Database balanced by gender and ethnicity (Asian/Caucasian) and 200 synthetically generated faces. Preference judgments were collected from 451 diverse annotators. The repository includes the face images, raw data matrix, and annotator demographics, supporting research on bias and the development of fairer AI models.
DOI: 10.17632/bpdvjf293t.2
title: Social Risks-Focused Lifestyle Intervention to Reduce Preeclampsia in African American Women

description: This includes data collected in a pilot randomized controlled trial of 100 pregnant nulliparous non-Hispanic Black women. Participants were randomized 2:1 to receive either the SAIL (social and lifestyle) intervention plus routine prenatal care versus routine prenatal care alone.
DOI: 10.15468/dl.9aqw8q
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe bellani",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037507-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zja4vm
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.541 -0.896817, 103.470728 -0.902383, 103.402186 -0.918945, 103.337061 -0.946094, 103.276955 -0.983163, 103.223348 -1.029239, 103.177561 -1.083188, 103.140719 -1.143682, 103.113732 -1.209231, 103.097263 -1.278223, 103.091719 -1.348958, 103.097237 -1.419695, 103.113683 -1.488693, 103.140652 -1.554251, 103.177482 -1.614757, 103.223265 -1.668718, 103.276876 -1.714807, 103.336994 -1.751887, 103.402137 -1.779046, 103.470703 -1.795613, 103.541 -1.801181, 103.611297 -1.795613, 103.679863 -1.779046, 103.745006 -1.751887, 103.805124 -1.714807, 103.858735 -1.668718, 103.904518 -1.614757, 103.941348 -1.554251, 103.968317 -1.488693, 103.984763 -1.419695, 103.990281 -1.348958, 103.984737 -1.278223, 103.968268 -1.209231, 103.941281 -1.143682, 103.904439 -1.083188, 103.858652 -1.029239, 103.805045 -0.983163, 103.744939 -0.946094, 103.679814 -0.918945, 103.611272 -0.902383, 103.541 -0.896817))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037506-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gx4h2n4jyd
title: Bangladeshi Banana Dataset - Kobri, Sagor, Sobri, Champa

description: This dataset is a primary collection of raw banana images containing four commonly found varieties: Kobri, Sagor, Sobri, and Champa. A total of 1,723 raw images were captured under natural conditions to support research in agricultural technology, fruit classification, computer vision, and machine learning.
The images reflect real-world variations in lighting, size, shape, ripeness levels, and orientation, making this dataset highly suitable for practical machine learning applications. All images are organized into folders according to their variety names.
DOI: 10.17632/gx4h2n4jyd.1
title: Bangladeshi Banana Dataset - Kobri, Sagor, Sobri, Champa

description: This dataset is a primary collection of raw banana images containing four commonly found varieties: Kobri, Sagor, Sobri, and Champa. A total of 1,723 raw images were captured under natural conditions to support research in agricultural technology, fruit classification, computer vision, and machine learning.
The images reflect real-world variations in lighting, size, shape, ripeness levels, and orientation, making this dataset highly suitable for practical machine learning applications. All images are organized into folders according to their variety names.
DOI: 10.17632/2bsw445599
title: Early Brain Disease Identification Using Transformer Model on MRI Scan Images

description: The Early Brain Disease MRI Dataset is an edited medical imaging dataset that can be used to study transformer-based models of early neurological disease diagnosis. The dataset unites 4,601 cleaned MRI scans of five clinically relevant conditions, which provides a well-balanced and diversified basis of computer vision and medical AI experiments.

The dataset contains five categories following the cleaning and scaling, namely HallervodenSpatz Disease (currently known as Pantothenate KinaseAssociated Neurodegeneration) with 972 images, Magnetic Resonance (MR) Brain with 958 images, Moyamoya Disease with Intraventricular Hemorrhage with 753 images, Neurofibromatosis Type 1 (NF1) with Optic Glioma with 838 images, and Retinoblastoma with Intracranial Spread Preprocessing was done to standardize all the images to the same resolution and to be compatible with contemporary deep-learning platforms.

To facilitate strong training, the dataset is augmented with a training split of 10000 images whereas the sets of validation (458 images) and test (464 images) do not include any modifications to ensure the integrity of model evaluation. Each of the classes is stored as different directories in a structure that is completely compatible with PyTorch, Tensorflow ImageFolder, as well as other machine-learning pipelines.

The data will be used in medical image classification, feature extraction, disease recognition and the transformer-based modeling. Its combination of rare and complicated neurological disorders is helpful to researchers looking to enhance disease detection at an early stage, build more effective diagnostic tools, and investigate new designs in healthcare medical imaging and AI-generated healthcare.
DOI: 10.17632/2bsw445599.2
title: Early Brain Disease Identification Using Transformer Model on MRI Scan Images

description: The Early Brain Disease MRI Dataset is an edited medical imaging dataset that can be used to study transformer-based models of early neurological disease diagnosis. The dataset unites 4,601 cleaned MRI scans of five clinically relevant conditions, which provides a well-balanced and diversified basis of computer vision and medical AI experiments.

The dataset contains five categories following the cleaning and scaling, namely HallervodenSpatz Disease (currently known as Pantothenate KinaseAssociated Neurodegeneration) with 972 images, Magnetic Resonance (MR) Brain with 958 images, Moyamoya Disease with Intraventricular Hemorrhage with 753 images, Neurofibromatosis Type 1 (NF1) with Optic Glioma with 838 images, and Retinoblastoma with Intracranial Spread Preprocessing was done to standardize all the images to the same resolution and to be compatible with contemporary deep-learning platforms.

To facilitate strong training, the dataset is augmented with a training split of 10000 images whereas the sets of validation (458 images) and test (464 images) do not include any modifications to ensure the integrity of model evaluation. Each of the classes is stored as different directories in a structure that is completely compatible with PyTorch, Tensorflow ImageFolder, as well as other machine-learning pipelines.

The data will be used in medical image classification, feature extraction, disease recognition and the transformer-based modeling. Its combination of rare and complicated neurological disorders is helpful to researchers looking to enhance disease detection at an early stage, build more effective diagnostic tools, and investigate new designs in healthcare medical imaging and AI-generated healthcare.
DOI: 10.17632/897vb227wn
title: Publicly available online data repositories

description: Hydrological and climate datasets were downloaded from publicly available websites
DOI: 10.17632/897vb227wn.1
title: Publicly available online data repositories

description: Hydrological and climate datasets were downloaded from publicly available websites
DOI: 10.17632/kjhr4vct3m
title: Geopolymer Binder Research

description: Research data on geopolymer binder with varying parameters
DOI: 10.17632/kjhr4vct3m.1
title: Geopolymer Binder Research

description: Research data on geopolymer binder with varying parameters
DOI: 10.17632/n93wcghxmg
title: Membrane Protein-Mediated Phase Separation Orchestrates Organelle Contact Sites

description: This depository includes all raw data used for the main and supplemental figures in the study by Christian Hoffmann, Takahiro Nagao, Taka A. Tsunoyama, Johannes Vincent Tromm, Chinyere Logan, Koki Nakamura, Han Wang, Frans Bianchi, Geert van den Bogaart, Akihiro Kusumi, Yusuke Hirabayashi* and Dragomir Milovanovic* with the title: "Membrane Protein-Mediated Phase Separation Orchestrates Organelle Contact Sites."
DOI: 10.17632/n93wcghxmg.1
title: Membrane Protein-Mediated Phase Separation Orchestrates Organelle Contact Sites

description: This depository includes all raw data used for the main and supplemental figures in the study by Christian Hoffmann, Takahiro Nagao, Taka A. Tsunoyama, Johannes Vincent Tromm, Chinyere Logan, Koki Nakamura, Han Wang, Frans Bianchi, Geert van den Bogaart, Akihiro Kusumi, Yusuke Hirabayashi* and Dragomir Milovanovic* with the title: "Membrane Protein-Mediated Phase Separation Orchestrates Organelle Contact Sites."
DOI: 10.15468/dl.u6zqar
title: Occurrence Download

description: A dataset containing 341094535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "HasCoordinate is true",
 "ScientificName ~* *"
 ]
}

 The dataset includes 341094535 records from 12967 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037445-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peyye4
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pithecopus centralis (Bokermann, 1965)"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298111-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnk9an
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EBCC Atlas of European Breeding Birds",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunella collaris (Scopoli, 1769)"
 ]
}

 The dataset includes 262 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115758-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lndx0w
title: Occurrence Download

description: A dataset containing 41875 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Amphibiens et Reptiles de France métropolitaine (Enquête 1)"
 ]
}

 The dataset includes 41875 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010786-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.