cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3hw98r
title: Occurrence Download

description: A dataset containing 1344 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dichostemma Pierre"
 ]
}

 The dataset includes 1344 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204841-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ywt89
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haplochromis niloticus Greenwood, 1960"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322333-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kb7nd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pulvinaria regalis Canard, 1968",
 {
 "or" : [
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127683-210914110416597/datasets/export for details.
DOI: 10.15468/dl.ywvdq8
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.96484 -58.86915,-31.18359 -59.57227,-47.92456 -25.3114,-49.31804 -24.15282,-49.49451 -23.9057,-49.5434 -23.60056,-49.71184 -23.04445,-49.9499 -22.84514,-50.55249 -22.88562,-51.27731 -22.6328,-51.55994 -22.65326,-52.12299 -22.48654,-52.2323 -22.58295,-52.92664 -22.53021,-53.10077 -22.60519,-53.69897 -22.78894,-53.92749 -23.3075,-54.27768 -24.06212,-54.31572 -24.00396,-54.42723 -23.90069,-54.67181 -23.79611,-55.0058 -23.92795,-55.35132 -23.92273,-55.43255 -23.71231,-55.50458 -23.60056,-55.53561 -23.49852,-55.49606 -23.39415,-55.51474 -23.17552,-55.58464 -23.12066,-55.61884 -22.86887,-55.58972 -22.60492,-55.70233 -22.41623,-55.81714 -22.23523,-56.28241 -22.20969,-56.38376 -22.0648,-56.50681 -22.07469,-56.63589 -22.19507,-57.45795 -22.15475,-57.60777 -22.09014,-57.9559 -22.05272,-57.91086 -21.92967,-57.84081 -21.50538,-57.76831 -21.06628,-58.12771 -19.81667,-59.04382 -19.2431,-59.43097 -19.22013,-59.98425 -19.25189,-61.75525 -19.55511,-62.29413 -20.55075,-62.6814 -21.92761,-64.008 -21.98996,-64.31342 -22.64474,-64.61499 -22.14734,-66.2157 -21.68207,-66.46948 -22.02429,-67.54834 -22.58569,-68.79639 -17.54077,-70.2334 -17.25733,-80.96484 -58.86915))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ormosia Jacks."
 ]
}

 The dataset includes 69 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204854-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dcsaf
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.96484 -58.86915,-31.18359 -59.57227,-47.92456 -25.3114,-49.31804 -24.15282,-49.49451 -23.9057,-49.5434 -23.60056,-49.71184 -23.04445,-49.9499 -22.84514,-50.55249 -22.88562,-51.27731 -22.6328,-51.55994 -22.65326,-52.12299 -22.48654,-52.2323 -22.58295,-52.92664 -22.53021,-53.10077 -22.60519,-53.69897 -22.78894,-53.92749 -23.3075,-54.27768 -24.06212,-54.31572 -24.00396,-54.42723 -23.90069,-54.67181 -23.79611,-55.0058 -23.92795,-55.35132 -23.92273,-55.43255 -23.71231,-55.50458 -23.60056,-55.53561 -23.49852,-55.49606 -23.39415,-55.51474 -23.17552,-55.58464 -23.12066,-55.61884 -22.86887,-55.58972 -22.60492,-55.70233 -22.41623,-55.81714 -22.23523,-56.28241 -22.20969,-56.38376 -22.0648,-56.50681 -22.07469,-56.63589 -22.19507,-57.45795 -22.15475,-57.60777 -22.09014,-57.9559 -22.05272,-57.91086 -21.92967,-57.84081 -21.50538,-57.76831 -21.06628,-58.12771 -19.81667,-59.04382 -19.2431,-59.43097 -19.22013,-59.98425 -19.25189,-61.75525 -19.55511,-62.29413 -20.55075,-62.6814 -21.92761,-64.008 -21.98996,-64.31342 -22.64474,-64.61499 -22.14734,-66.2157 -21.68207,-66.46948 -22.02429,-67.54834 -22.58569,-68.79639 -17.54077,-70.2334 -17.25733,-80.96484 -58.86915))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nissolia Jacq."
 ]
}

 The dataset includes 192 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ky6cf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tulipa sinkiangensis Z.M.Mao"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036573-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m2vp4
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bryconops imitator Chernoff & Machado-Allison, 2002"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340870-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvpnn9
title: Occurrence Download

description: A dataset containing 70658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Elaenia albiceps (Orbigny & Lafresnaye, 1837)"
 ]
}

 The dataset includes 70658 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200762-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qrzny
title: Occurrence Download

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capsicum baccatum var. baccatum"
 ]
}

 The dataset includes 791 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127774-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rb996r
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rattus giluwensis Hill, 1960"
 ]
}

 The dataset includes 102 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0353847-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqhukw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brycon reinhardtii Lütken, 1875"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0340871-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvtsjx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "Geometry POLYGON((-55.21729 -27.09948,-46.86768 -27.09948,-46.86768 -21.45435,-55.21729 -21.45435,-55.21729 -27.09948))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phleocryptes melanops (Vieillot, 1817)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204852-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3wdpd
title: Occurrence Download

description: A dataset containing 6492876 species occurrences available in GBIF matching the query:
{
 "Depth" : [
 "200.0-9999.0m"
 ]
}

 The dataset includes 6492876 records from 1346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010012-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/zsw6xe
title: PAN-00157181 - smooth ware jug type Hofh. 51

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00157181&lt;/p&gt;
description: Modified: 2025-11-18T16:36:28+01:00
DOI: 10.15468/dl.jg6pxm
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_0_GID","value":"ARG","matchCase":false},{"type":"equals","key":"GADM_LEVEL_1_GID","value":"ARG.21_1","matchCase":false},{"type":"equals","key":"GADM_LEVEL_2_GID","value":"ARG.21.11_1","matchCase":false},{"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 129 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060486-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30245
title: Chandra X-ray Observatory ObsId 30245

description: COSMOS-WebX: Unveiling the Connection between AGN and their Host Galaxies in the last 12.5 Years
DOI: 10.5281/zenodo.17121565
title: Exploring the utility of temporal information in improving invasive alien tree mapping using Sentinel-2 imagery in the Global South

description: This page contains the code used in the study "Exploring the utility of temporal information in improving invasive alien tree mapping with Sentinel-2 imagery in southern Africa ". The aim of this work was to compare different methods to improve the accuracy of mapping invasive alien trees. This study assessed the effectiveness of different temporal approaches using Sentinel-2 imagery in the Grassland Biome of southern Africa. Using a Random Forest classifier trained and validated with field-collected data, four temporal approaches were compared: a single date to match the fieldwork campaign (in this case in the dry season), a single date to maximize phenological differences (the flowering of invasive wattle), all the scenes available in the calendar year relating to the fieldwork, and monthly composites for the same year.

Treatments 

1.       Fieldwork date: Single (Scenes before fieldwork mosaicked into one image)

2.       Phenological date: Single (Scenes from August mosaicked to highlight phenological contrasts).

3.       2023: All scenes Multiple  (All scenes used to generate a median annual composite).

4.       2023: Monthly composites (Monthly composites for 2023)

Contents



Python and Javascript: Codes used for each classification for each treatment .

Training data: Field-collected training data points used to train the classifier.

Classification results: GeoTIFF files showing the classification outputs for each dataset.

Metadata document: A detailed explanation of each dataset.


 

Data accessibily 

To ensure replicability, we provide the training datasets and code used in this study. Access to imagery is as follows:



Sentinel-2: Freely available (for example on Google Earth Engine)
DOI: 10.15468/dl.qawpc6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Inventory of marine amphipod species from Italian waters: an update",
 "EventDate is 2025-11-19,2025-12-19"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060487-251120083545085/datasets/export for details.
DOI: 10.7805/ebdc-ief-2025q1
title: ifo Konjunkturprognosedaten 2025 Q1 (Spring)

description: The ifo Institute publishes an economic forecast four times a year. The focus is on forecasting overall economic development in Germany for a period of up to two years. Due to the close interdependence of the German economy with the global economy, and in particular with the European economy, developments in the European Union and other important countries are also forecast. The forecast is based on a thorough analysis of the economic situation.
description: The ifo Institute publishes an economic forecast four times a year. The focus is on forecasting overall economic development in Germany for a period of up to two years. Due to the close interdependence of the German economy with the global economy, and in particular with the European economy, developments in the European Union and other important countries are also forecast. The forecast is based on a thorough analysis of the economic situation.
DOI: 10.15468/dl.6gyctk
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (French Guiana, Suriname, Guyana)",
 "TaxonKey is Laimosemion agilae"
 ]
}

 The dataset includes 105 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060489-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1663
title: Data Set for The Role of Cation and Anion on The Dissolution Rate of Flax Yarns in Ionic Liquids

description: All the optical data and measurements
DOI: 10.15468/dl.74qpdd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Nalanda University Birds Occurrence Dataset",
 "EventDate is 2025-11-19,2025-12-19"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060491-251120083545085/datasets/export for details.
DOI: 10.17044/scilifelab.25883455
title: SMHI IFCB Plankton Image Reference Library

description: This repository includes four datasets of manually annotated plankton images by phytoplankton experts at the Swedish Meteorological and Hydrological Institute (SMHI). These images can be used for training automatic image classifiers to identify various plankton species. The images were captured using an Imaging FlowCytobot (IFCB, McLane Research Laboratories) from different locations and seasons in the Skagerrak, Kattegat, and Baltic Proper. The specifics of the three datasets are as follows:<br><b>smhi_ifcb_svea_baltic_proper</b>: Images were gathered during monthly monitoring cruises from 2022 to 2025, utilizing an IFCB mounted as part of the underway FerryBox system on the R/V Svea. This collection consists of 27,914 annotated images across 65 different classes.<b>smhi_</b><b>ifcb_svea_skagerrak_kattegat</b>: Images were also collected during the regular monitoring cruises from 2022 to 2025. This archive comprises of 10,381 annotated images from 103 distinct classes.<b>smhi_</b><b>ifcb_tångesund</b>: In 2016, the IFCB was deployed in situ at depths between 3 and 18 meters, near a mussel farm in Tångesund, Mollösund (Skagerrak). This dataset contains 43,828 annotated images from 39 different classes.<b>smhi_</b><b>ifcb_iRfcb</b>: This subset of the smhi_ifcb_svea_skagerrak_kattegat dataset can be used for user and unit tests for the iRfcb R package.Datasets 1-3 comprises two zip archives: one (annotated_images) containing .png images organized into subfolders for each class, and another (matlab_files) including raw data files (.roi, .hdr, .adc) and .mat-files for developing a random forest image classifier using the MATLAB code from the ifcb-analysis repository. Dataset 4 only comprise of a MATLAB data package.The images in this dataset undergo continuous quality control, and new images are regularly added. Consequently, this dataset will be updated on a regular basis. If you find any mislabeled images, please contact the authors.<b>Version history</b>Version 5 (2025-12-19): 82,123 annotated images.Version 4 (2024-11-04): 76,032 annotated images. Corrected class names to better match WoRMS, and continued quality control of images in the Tångesund dataset.Version 3 (2024-08-05): 72,086 annotated images. Added iRfcb dataset for user and unit testing.Version 2 (2024-06-03): 71,525 annotated images. Updated class names and corrected manual files in the Tångesund dataset. Continued quality control of images in the Tångesund dataset.Version 1 (2024-05-31): 65,435 annotated images<br>
DOI: 10.17044/scilifelab.25883455.v4
title: SMHI IFCB Plankton Image Reference Library

description: This repository includes four datasets of manually annotated plankton images by phytoplankton experts at the Swedish Meteorological and Hydrological Institute (SMHI). These images can be used for training automatic image classifiers to identify various plankton species. The images were captured using an Imaging FlowCytobot (IFCB, McLane Research Laboratories) from different locations and seasons in the Skagerrak, Kattegat, and Baltic Proper. The specifics of the three datasets are as follows:<br><b>smhi_ifcb_svea_baltic_proper</b>: Images were gathered during monthly monitoring cruises from 2022 to 2024, utilizing an IFCB mounted as part of the underway FerryBox system on the R/V Svea. This collection consists of 27,118 annotated images across 61 different classes.<b>smhi_</b><b>ifcb_svea_skagerrak_kattegat</b>: Images were also collected during the regular monitoring cruises from 2022 to 2024. This archive comprises of 5,086 annotated images from 83 distinct classes.<b>smhi_</b><b>ifcb_tångesund</b>: In 2016, the IFCB was deployed in situ at depths between 3 and 18 meters, near a mussel farm in Tångesund, Mollösund (Skagerrak). This dataset contains 43,828 annotated images from 39 different classes.<b>smhi_</b><b>ifcb_iRfcb</b>: This subset of the smhi_ifcb_svea_skagerrak_kattegat dataset can be used for user and unit tests for the iRfcb R package.Datasets 1-3 comprises two zip archives: one (annotated_images) containing .png images organized into subfolders for each class, and another (matlab_files) including raw data files (.roi, .hdr, .adc) and .mat-files for developing a random forest image classifier using the MATLAB code from the ifcb-analysis repository. Dataset 4 only comprise of a MATLAB data package.The images in this dataset undergo continuous quality control, and new images are regularly added. Consequently, this dataset will be updated on a regular basis. If you find any mislabeled images, please contact the authors.<b>Version history</b>Version 4 (2024-11-04): 76,032 annotated images. Corrected class names to better match WoRMS, and continued quality control of images in the Tångesund dataset.Version 3 (2024-08-05): 72,086 annotated images. Added iRfcb dataset for user and unit testing.Version 2 (2024-06-03): 71,525 annotated images. Updated class names and corrected manual files in the Tångesund dataset. Continued quality control of images in the Tångesund dataset.Version 1 (2024-05-31): 65,435 annotated images<br>
DOI: 10.17044/scilifelab.25883455.v5
title: SMHI IFCB Plankton Image Reference Library

description: This repository includes four datasets of manually annotated plankton images by phytoplankton experts at the Swedish Meteorological and Hydrological Institute (SMHI). These images can be used for training automatic image classifiers to identify various plankton species. The images were captured using an Imaging FlowCytobot (IFCB, McLane Research Laboratories) from different locations and seasons in the Skagerrak, Kattegat, and Baltic Proper. The specifics of the three datasets are as follows:<br><b>smhi_ifcb_svea_baltic_proper</b>: Images were gathered during monthly monitoring cruises from 2022 to 2025, utilizing an IFCB mounted as part of the underway FerryBox system on the R/V Svea. This collection consists of 27,914 annotated images across 65 different classes.<b>smhi_</b><b>ifcb_svea_skagerrak_kattegat</b>: Images were also collected during the regular monitoring cruises from 2022 to 2025. This archive comprises of 10,381 annotated images from 103 distinct classes.<b>smhi_</b><b>ifcb_tångesund</b>: In 2016, the IFCB was deployed in situ at depths between 3 and 18 meters, near a mussel farm in Tångesund, Mollösund (Skagerrak). This dataset contains 43,828 annotated images from 39 different classes.<b>smhi_</b><b>ifcb_iRfcb</b>: This subset of the smhi_ifcb_svea_skagerrak_kattegat dataset can be used for user and unit tests for the iRfcb R package.Datasets 1-3 comprises two zip archives: one (annotated_images) containing .png images organized into subfolders for each class, and another (matlab_files) including raw data files (.roi, .hdr, .adc) and .mat-files for developing a random forest image classifier using the MATLAB code from the ifcb-analysis repository. Dataset 4 only comprise of a MATLAB data package.The images in this dataset undergo continuous quality control, and new images are regularly added. Consequently, this dataset will be updated on a regular basis. If you find any mislabeled images, please contact the authors.<b>Version history</b>Version 5 (2025-12-19): 82,123 annotated images.Version 4 (2024-11-04): 76,032 annotated images. Corrected class names to better match WoRMS, and continued quality control of images in the Tångesund dataset.Version 3 (2024-08-05): 72,086 annotated images. Added iRfcb dataset for user and unit testing.Version 2 (2024-06-03): 71,525 annotated images. Updated class names and corrected manual files in the Tångesund dataset. Continued quality control of images in the Tångesund dataset.Version 1 (2024-05-31): 65,435 annotated images<br>
DOI: 10.17026/ar/nezeo8
title: PAN-00147822 - Roman coarse ware pitcher with indented spout

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00147822&lt;/p&gt;
description: Modified: 2025-11-19T11:53:06+01:00
DOI: 10.15468/dl.trjvpf
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Paraguay, Brazil, Argentina)",
 "TaxonKey is Stylosanthes macrosoma"
 ]
}

 The dataset includes 53 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060492-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.