cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xr9x59
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Lycaste aromatica"
 ]
}

 The dataset includes 212 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010183-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m46hpc
title: Occurrence Download

description: A dataset containing 6620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Khaya senegalensis"
 ]
}

 The dataset includes 6620 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010184-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17726266
title: O3; Laboratory report on solar/NSSM treatment of selected PFAS in batch reactor

description: Datasets obtaiend within SoAPperF project.
DOI: 10.5281/zenodo.17726267
title: O3; Laboratory report on solar/NSSM treatment of selected PFAS in batch reactor

description: Datasets obtaiend within SoAPperF project.
DOI: 10.15468/dl.2vgmjf
title: Occurrence Download

description: A dataset containing 229104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus",
 "HasCoordinate is true",
 "Geometry POLYGON((5 47, 15 47, 15 55, 5 55, 5 47))"
 ]
}

 The dataset includes 229104 records from 515 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010133-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjed3z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hieracium aurantiacum",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010185-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aamccb
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Colección de plantas vasculares del Herbario \"Jaime Andrés Rodríguez\". LEB, Col·lecció de plantes de l'herbari de la Universitat de Barcelona, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Observation.org, Nature data from around the World, Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Junta de Extremadura)",
 "Geometry POLYGON((-1.97025 43.49037,-9.01804 44.50709,-9.44401 41.82454,-6.83013 41.93986,-6.05565 41.52082,-6.77204 41.06987,-6.81077 39.86202,-7.54653 39.57906,-7.48844 37.51994,-7.41099 37.16589,-7.60461 35.81167,-2.919 36.12508,0.58554 37.45848,0.31447 39.41471,3.23814 40.65988,3.45112 42.49908,1.30193 42.76972,0.25638 42.85495,-1.19577 43.01088,-1.44748 43.16642,-1.97025 43.49037))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio lividus"
 ]
}

 The dataset includes 391 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010187-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4z6km
title: Occurrence Download

description: A dataset containing 2165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phycodurus eques"
 ]
}

 The dataset includes 2165 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxx366
title: Occurrence Download

description: A dataset containing 874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "TaxonKey is Khaya grandifoliola"
 ]
}

 The dataset includes 874 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010188-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vr6p58
title: Occurrence Download

description: A dataset listing the 4132491 species recorded in GBIF matching the query:
{ }

 The dataset's 4132491 records were derived from 87468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010171-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.by54s5
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia longifolia",
 "Year 1000-2010"
 ]
}

 The dataset includes 314 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010191-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7099
title: Tech-Sentences-For-ASR-Training
DOI: 10.35097/zj91nubn3q790p8h
title: Extended Data for Manuscript "Liquid metal printing for superconducting circuits"

description: Video files of EGaInSn printed structures, recorded with microscope viewing the sample mounted in a Lake Shore PS-100 Tabletop Cryogenic Probe Station during a temperature sweep from 300 K to 4 K and reverse.
DOI: 10.15468/dl.ncpbnh
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phyllopteryx dewysea"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010194-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38hjyj
title: Occurrence Download

description: A dataset containing 21897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larrea tridentata",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 21897 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010193-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/9zbq-kf25
title: "Dataset_for_Constructing_Q_SOCO_Field&SOCO_Field"

description: "This dataset is mainly used to support the construction of Q-SOCO-Field"
DOI: 10.15468/dl.d8y5hp
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "TaxonKey is Lymania smithii"
 ]
}

 The dataset includes 95 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010195-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhb66q
title: Occurrence Download

description: A dataset containing 5891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhizophora apiculata"
 ]
}

 The dataset includes 5891 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010196-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gjn2f
title: Occurrence Download

description: A dataset containing 201263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aesculus hippocastanum"
 ]
}

 The dataset includes 201263 records from 1439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010162-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hteb3j
title: Occurrence Download

description: A dataset containing 30756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-10.81724 5.04775,-7.95578 5.04775,-7.95578 7.84418,-10.81724 7.84418,-10.81724 5.04775))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30756 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024800-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/gpkb4q/sxgqtb
title: code_paper.zip

description: The dataset is compressed into a single zip file to avoid potential problems as it contains thousands of small files.
DOI: 10.5281/zenodo.15282012
title: Data and code for Tropical dry woodland loss in India since 1880 and its relation to current megafauna distributions

description: We provide data and code for the maps created in the publication "Tropical dry woodland loss in India since 1880 and its relation to current megafauna distributions" in Ecological Applications 2025. 

Specifically: 

The file Code_EnsembleMapCreation.ipynb contains the code used to create our Ensemble maps for 2020 and 2010. 

The file IndianTDFs_1880-1930-1975-1985-1995-2010-2020_300m_April2025.tif is a raster stack containing the following rasters at 300m resolution in the order below: 



TDF boundary as delineated by Olson. Value 1 = TDF and 99 = Non-TDF

Fractional forest cover in 1880

Fractional forest cover in 1930

Fractional forest cover in 1975

Fractional forest cover in 1985

Fractional forest cover in 1995

Fractional forest cover in 2010 (Ensemble map)

Fractional forest cover in 2020 (Ensemble map)


The file IndianTDFs_1880-1930-1975-1985-1995-2010-2020_3km_April2025.tif is a raster stack containing the following rasters at 3km resolution in the order below: 



TDF boundary as delineated by Olson. Value 1 = TDF and 0 = Non-TDF

Fractional forest cover in 1880

Fractional forest cover in 1930

Fractional forest cover in 1975

Fractional forest cover in 1985

Fractional forest cover in 1995

Fractional forest cover in 2010 (Ensemble map)

Fractional forest cover in 2020 (Ensemble map)
DOI: 10.5281/zenodo.15282013
title: Data and code for Tropical dry woodland loss in India since 1880 and its relation to current megafauna distributions

description: We provide data and code for the maps created in the publication "Tropical dry woodland loss in India since 1880 and its relation to current megafauna distributions" in Ecological Applications 2025. 

Specifically: 

The file Code_EnsembleMapCreation.ipynb contains the code used to create our Ensemble maps for 2020 and 2010. 

The file IndianTDFs_1880-1930-1975-1985-1995-2010-2020_300m_April2025.tif is a raster stack containing the following rasters at 300m resolution in the order below: 



TDF boundary as delineated by Olson. Value 1 = TDF and 99 = Non-TDF

Fractional forest cover in 1880

Fractional forest cover in 1930

Fractional forest cover in 1975

Fractional forest cover in 1985

Fractional forest cover in 1995

Fractional forest cover in 2010 (Ensemble map)

Fractional forest cover in 2020 (Ensemble map)


The file IndianTDFs_1880-1930-1975-1985-1995-2010-2020_3km_April2025.tif is a raster stack containing the following rasters at 3km resolution in the order below: 



TDF boundary as delineated by Olson. Value 1 = TDF and 0 = Non-TDF

Fractional forest cover in 1880

Fractional forest cover in 1930

Fractional forest cover in 1975

Fractional forest cover in 1985

Fractional forest cover in 1995

Fractional forest cover in 2010 (Ensemble map)

Fractional forest cover in 2020 (Ensemble map)
DOI: 10.25909/28869953.v3
title: Initial gRNA testing in WT cells

description: NGS data files
DOI: 10.15468/dl.vpz8e9
title: Occurrence Download

description: A dataset containing 47308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenanthe leucura"
 ]
}

 The dataset includes 47308 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033243-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/4iimhe
title: Progeny_15G_adj_N_economy_2023_2024.tab

description: :unav
DOI: 10.57745/avc1fm
title: Malepartus_1G_raw_BM_NC_2016_2017_2023.tab

description: Malepartus phenotyping data
DOI: 10.57745/o0pcyj
title: Progeny_80G_adj_N_economy_2023_2024.tab

description: :unav
DOI: 10.57745/nay9dy
title: Progeny_80G_raw_BM_NC_2023_2024.tab

description: :unav
DOI: 10.57745/qjogwa
title: TD_template_v5_BFF_Miscanthus_Ontology_03-Nov-2025.tab

description: Ontology trait description for Miscanthus sinensis
DOI: 10.57745/hbbvy5
title: MiscanthusBiologicalMaterial_03-Nov-2025.tab

description: Biological material used in this dataset
DOI: 10.57745/dujcgu
title: README file for the description of 4 datasets related to first manuscript_Shehyar_30-Oct-2025.docx

description: Protocol and project description
DOI: 10.5281/zenodo.17609368
title: Thermo-physical characterization data of synthetic textile feedstocks and recycled polymer materials

description: Thermo-physical data of the characterization of textile feedstocks and corresponding recycled materials within the EU Horizon project "T-REX - Textile Recycling eXcellence".
DOI: 10.5281/zenodo.17609369
title: Thermo-physical characterization data of synthetic textile feedstocks and recycled polymer materials

description: Thermo-physical data of the characterization of textile feedstocks and corresponding recycled materials within the EU Horizon project "T-REX - Textile Recycling eXcellence".
DOI: 10.15468/dl.sdrt42
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((100.45011 -3.67036,100.85895 -3.14202,98.95943 -0.60093,98.16063 -0.98461,100.45011 -3.67036))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 483 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033249-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609211
title: Fruit Quality – Good vs Bad for Apple, Banana, Lime

description:  

This dataset contains colour images of top fruit types with two quality labels: Good and Bad. It includes six classes: Apple_Good, Apple_Bad, Banana_Good, Banana_Bad, Lime_Good, Lime_Bad. The approximate sample counts per class are:





Apple_Bad: 1141




Apple_Good: 1134




Banana_Bad: 1087




Banana_Good: 1113




Lime_Bad: 1085




Lime_Good: 1094



The images were captured under varying lighting conditions, backgrounds and viewpoints, using high-resolution mobile phone cameras, both indoor and outdoor. The dataset is derived from the FruitNet dataset (Meshram et al., 2022) which originally included six fruits (apple, banana, guava, lime, orange, pomegranate) and three quality labels (Good/Bad/Mixed) with ~19 500 images. 

In this version we have selected the six classes (three fruits × two quality levels) to provide a balanced corpus of ~ 6,700 images. Each image is stored at 256×256 resolution (or rescaled to this size) and labelled with the class name.

Intended Use:This dataset is suitable for research in computer vision, particularly fruit quality classification, defect detection, visual sorting in agriculture, and related machine learning tasks.

Source / Reference:Meshram V. A., Patil K., Ramteke S. D. “MNet: A Framework to Reduce Fruit Image Misclassification” (2021) IIETA. DOI: 10.18280/isi.260203. Dataset details: top Indian fruits, Good/Bad labels, ~12,000 images. (IIETA)

Dataset structuring:





Directory per class (e.g. Apple_Bad/)




JPEG or PNG images




Recommended preprocessing: resizing to 256×256, normalising pixel values, optional data augmentation
DOI: 10.5281/zenodo.17609210
title: Fruit Quality – Good vs Bad for Apple, Banana, Lime

description:  

This dataset contains colour images of top fruit types with two quality labels: Good and Bad. It includes six classes: Apple_Good, Apple_Bad, Banana_Good, Banana_Bad, Lime_Good, Lime_Bad. The approximate sample counts per class are:





Apple_Bad: 1141




Apple_Good: 1134




Banana_Bad: 1087




Banana_Good: 1113




Lime_Bad: 1085




Lime_Good: 1094



The images were captured under varying lighting conditions, backgrounds and viewpoints, using high-resolution mobile phone cameras, both indoor and outdoor. The dataset is derived from the FruitNet dataset (Meshram et al., 2022) which originally included six fruits (apple, banana, guava, lime, orange, pomegranate) and three quality labels (Good/Bad/Mixed) with ~19 500 images. 

In this version we have selected the six classes (three fruits × two quality levels) to provide a balanced corpus of ~ 6,700 images. Each image is stored at 256×256 resolution (or rescaled to this size) and labelled with the class name.

Intended Use:This dataset is suitable for research in computer vision, particularly fruit quality classification, defect detection, visual sorting in agriculture, and related machine learning tasks.

Source / Reference:Meshram V. A., Patil K., Ramteke S. D. “MNet: A Framework to Reduce Fruit Image Misclassification” (2021) IIETA. DOI: 10.18280/isi.260203. Dataset details: top Indian fruits, Good/Bad labels, ~12,000 images. (IIETA)

Dataset structuring:





Directory per class (e.g. Apple_Bad/)




JPEG or PNG images




Recommended preprocessing: resizing to 256×256, normalising pixel values, optional data augmentation
DOI: 10.5281/zenodo.17212180
title: Mapping Annual 10-meter Evergreen Forests in China from 2017 to 2023 with Multi-Source Remote Sensing Data

description: Due to the complexity of China's terrain and the diversity of its climate ranging from tropical to cold temperate, mapping evergreen forests in China poses a greater challenge than those in tropical regions, and thematic fine spatio-temporal resolution evergreen forest cover maps are lacking in China. 

To address this issue, we developed an automatic framework to produce annual 10 m evergreen and non-evergreen forest cover maps of China from 2017 to 2023 with multi-source remote sensing data. Utilizing automatically generated high-quality training samples, integrated with the novel Dynamic World Tree FQ index and other innovative features, alongside advanced post-processing techniques, our final evergreen and non-evergreen forest classification product exhibits superior quality. This is substantiated through visual analysis, independent datasets validation (Overall Accuracy >94%), five-fold cross-validation (Overall Accuracy >98%), and consistency assessment (Kappa >0.8).
description: Value table

0 - NoData

1 - Others

2 - Evergreen forest

3 - Non-evergreen forest
DOI: 10.5281/zenodo.17212181
title: Mapping Annual 10-meter Evergreen Forests in China from 2017 to 2023 with Multi-Source Remote Sensing Data

description: Due to the complexity of China's terrain and the diversity of its climate ranging from tropical to cold temperate, mapping evergreen forests in China poses a greater challenge than those in tropical regions, and thematic fine spatio-temporal resolution evergreen forest cover maps are lacking in China. 

To address this issue, we developed an automatic framework to produce annual 10 m evergreen and non-evergreen forest cover maps of China from 2017 to 2023 with multi-source remote sensing data. Utilizing automatically generated high-quality training samples, integrated with the novel Dynamic World Tree FQ index and other innovative features, alongside advanced post-processing techniques, our final evergreen and non-evergreen forest classification product exhibits superior quality. This is substantiated through visual analysis, independent datasets validation (Overall Accuracy >94%), five-fold cross-validation (Overall Accuracy >98%), and consistency assessment (Kappa >0.8).
description: Value table

0 - NoData

1 - Others

2 - Evergreen forest

3 - Non-evergreen forest
DOI: 10.15468/dl.gt7kpk
title: Occurrence Download

description: A dataset containing 12608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((-1.04211 45.17153,0.55703 44.48947,0.67397 46.17444,-1.73141 46.41447,-1.04211 45.17153))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eptesicus serotinus",
 "Year 2015-2025"
 ]
}

 The dataset includes 12608 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033247-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609577
title: Current Cross-Correlation Spectroscopy of Majorana Bound States

description: This open-data repository includes all raw data files and the Python scripts required to reproduce the figures presented in the manuscript:

M. Ridley, E. Cohen, C. Flindt, and R. TuovinenCurrent Cross-Correlation Spectroscopy of Majorana Bound StatesarXiv:2511.02085 (2025)https://doi.org/10.48550/arXiv.2511.02085

All calculations were performed using the open-source QPORT package:https://www.bitbucket.org/rtuovine/qport

The comments in the Python scripts will guide the reader through the raw data files.
DOI: 10.5281/zenodo.17609576
title: Current Cross-Correlation Spectroscopy of Majorana Bound States

description: This open-data repository includes all raw data files and the Python scripts required to reproduce the figures presented in the manuscript:

M. Ridley, E. Cohen, C. Flindt, and R. TuovinenCurrent Cross-Correlation Spectroscopy of Majorana Bound StatesarXiv:2511.02085 (2025)https://doi.org/10.48550/arXiv.2511.02085

All calculations were performed using the open-source QPORT package:https://www.bitbucket.org/rtuovine/qport

The comments in the Python scripts will guide the reader through the raw data files.