cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10719374
title: NeurIPS 2022 Cell Segmentation Competition Dataset

description: The official data set for the NeurIPS 2022 competition: cell segmentation in multi-modality microscopy images.

https://neurips22-cellseg.grand-challenge.org/

Please cite the following paper if this dataset is used in your research. 

 

@article{NeurIPS-CellSeg,
      title = {The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions},
      author = {Jun Ma and Ronald Xie and Shamini Ayyadhury and Cheng Ge and Anubha Gupta and Ritu Gupta and Song Gu and Yao Zhang and Gihun Lee and Joonkee Kim and Wei Lou and Haofeng Li and Eric Upschulte and Timo Dickscheid and José Guilherme de Almeida and Yixin Wang and Lin Han and Xin Yang and Marco Labagnara and Vojislav Gligorovski and Maxime Scheder and Sahand Jamal Rahi and Carly Kempster and Alice Pollitt and Leon Espinosa and Tâm Mignot and Jan Moritz Middeke and Jan-Niklas Eckardt and Wangkai Li and Zhaoyang Li and Xiaochen Cai and Bizhe Bai and Noah F. Greenwald and David Van Valen and Erin Weisbart and Beth A. Cimini and Trevor Cheung and Oscar Brück and Gary D. Bader and Bo Wang},
      journal = {Nature Methods},      volume={21},      pages={1103–1113},      year = {2024},
      doi = {https://doi.org/10.1038/s41592-024-02233-6}
  }

 

This is an instance segmentation task where each cell has an individual label under the same category (cells). The training set contains both labeled images and unlabeled images. You can only use the labeled images to develop your model but we encourage participants to try to explore the unlabeled images through weakly supervised learning, semi-supervised learning, and self-supervised learning.

 

The images are provided with original formats, including tiff, tif, png, jpg, bmp... The original formats contain the most amount of information for competitors and you have free choice over different normalization methods. For the ground truth, we standardize them as tiff formats.

 

We aim to maintain this challenge as a sustainable benchmark platform. If you find the top algorithms (https://neurips22-cellseg.grand-challenge.org/awards/) don't perform well on your images, welcome to send us the dataset (neurips.cellseg@gmail.com)! We will include them in the new testing set and credit your contributions on the challenge website!

 

Dataset License: CC-BY-NC-ND
DOI: 10.5281/zenodo.10719375
title: NeurIPS 2022 Cell Segmentation Competition Dataset

description: The official data set for the NeurIPS 2022 competition: cell segmentation in multi-modality microscopy images.

https://neurips22-cellseg.grand-challenge.org/

Please cite the following paper if this dataset is used in your research. 

 

@article{NeurIPS-CellSeg,
      title = {The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions},
      author = {Jun Ma and Ronald Xie and Shamini Ayyadhury and Cheng Ge and Anubha Gupta and Ritu Gupta and Song Gu and Yao Zhang and Gihun Lee and Joonkee Kim and Wei Lou and Haofeng Li and Eric Upschulte and Timo Dickscheid and José Guilherme de Almeida and Yixin Wang and Lin Han and Xin Yang and Marco Labagnara and Vojislav Gligorovski and Maxime Scheder and Sahand Jamal Rahi and Carly Kempster and Alice Pollitt and Leon Espinosa and Tâm Mignot and Jan Moritz Middeke and Jan-Niklas Eckardt and Wangkai Li and Zhaoyang Li and Xiaochen Cai and Bizhe Bai and Noah F. Greenwald and David Van Valen and Erin Weisbart and Beth A. Cimini and Trevor Cheung and Oscar Brück and Gary D. Bader and Bo Wang},
      journal = {Nature Methods},      volume={21},      pages={1103–1113},      year = {2024},
      doi = {https://doi.org/10.1038/s41592-024-02233-6}
  }

 

This is an instance segmentation task where each cell has an individual label under the same category (cells). The training set contains both labeled images and unlabeled images. You can only use the labeled images to develop your model but we encourage participants to try to explore the unlabeled images through weakly supervised learning, semi-supervised learning, and self-supervised learning.

 

The images are provided with original formats, including tiff, tif, png, jpg, bmp... The original formats contain the most amount of information for competitors and you have free choice over different normalization methods. For the ground truth, we standardize them as tiff formats.

 

We aim to maintain this challenge as a sustainable benchmark platform. If you find the top algorithms (https://neurips22-cellseg.grand-challenge.org/awards/) don't perform well on your images, welcome to send us the dataset (neurips.cellseg@gmail.com)! We will include them in the new testing set and credit your contributions on the challenge website!

 

Dataset License: CC-BY-NC-ND
DOI: 10.15468/dl.deyed5
title: Occurrence Download

description: A dataset containing 3157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urocyon littoralis (Baird, 1858)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3157 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015475-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/b8e8e9f3-6638-4a45-9bb4-9bb46277550c
title: Challenges to freedom of speech and journalists in Ukraine in times of war
DOI: 10.5281/zenodo.14270216
title: Challenges to freedom of speech and journalists in Ukraine in times of war – Non-representative online expert survey of Ukrainian journalists (January 2023)

description: The expert survey of journalists was conducted from 18 to 27 January 2023 using a self-completion questionnaire in Google Forms. The survey was conducted by the Ilko Kucheriv Democratic Initiatives Foundation on the request of the Human Rights Centre ZMINA with the support of Freedom House Ukraine. 

A total of 132 people participated in the survey. The respondents were selected using the method of voluntary selection and snowballing to the point of saturation. The sample represents only the opinion of the respondents, but it also allows us to talk about certain trends and common assessments of certain phenomena and processes in the journalistic field.

The survey includes questions about freedom of speech and self-censorship in the media environment during the Russian-Ukrainian war. 

The data collection contains original survey data. The Excel file (.xlsx) is the original file with the respondents' answers in Ukrainian, provided by the Ilko Kucheriv Democratic Initiatives Foundation. The documentation includes the questions and answer options of the original questionnaire in Ukrainian and English. 

Additionally, the data collection contains the "Summary" file, which is an analytical report prepared by the Ilko Kucheriv Democratic Initiatives Foundation and the Human Rights Centre ZMINA. The report uses data from an expert survey of journalists in 2019 and 2023, and the results of focus groups in 2022.
description: Published on Discuss Data, https://discuss-data.net/dataset/b8e8e9f3-6638-4a45-9bb4-9bb46277550c/
description: Method(s) of data collection: Expert Online SurveyMethod(s) of data analysis: Descriptive Statistics
DOI: 10.5281/zenodo.14270217
title: Challenges to freedom of speech and journalists in Ukraine in times of war – Non-representative online expert survey of Ukrainian journalists (January 2023)

description: The expert survey of journalists was conducted from 18 to 27 January 2023 using a self-completion questionnaire in Google Forms. The survey was conducted by the Ilko Kucheriv Democratic Initiatives Foundation on the request of the Human Rights Centre ZMINA with the support of Freedom House Ukraine. 

A total of 132 people participated in the survey. The respondents were selected using the method of voluntary selection and snowballing to the point of saturation. The sample represents only the opinion of the respondents, but it also allows us to talk about certain trends and common assessments of certain phenomena and processes in the journalistic field.

The survey includes questions about freedom of speech and self-censorship in the media environment during the Russian-Ukrainian war. 

The data collection contains original survey data. The Excel file (.xlsx) is the original file with the respondents' answers in Ukrainian, provided by the Ilko Kucheriv Democratic Initiatives Foundation. The documentation includes the questions and answer options of the original questionnaire in Ukrainian and English. 

Additionally, the data collection contains the "Summary" file, which is an analytical report prepared by the Ilko Kucheriv Democratic Initiatives Foundation and the Human Rights Centre ZMINA. The report uses data from an expert survey of journalists in 2019 and 2023, and the results of focus groups in 2022.
description: Published on Discuss Data, https://discuss-data.net/dataset/b8e8e9f3-6638-4a45-9bb4-9bb46277550c/
description: Method(s) of data collection: Expert Online SurveyMethod(s) of data analysis: Descriptive Statistics
DOI: 10.15468/dl.fq6qku
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamna Cuvier, 1816",
 "Year 1900-2024"
 ]
}

 The dataset includes 2193 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015478-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ekftu
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.81995 -47.32663,-32.54586 -47.32663,-32.54586 -24.82663,-88.81995 -24.82663,-88.81995 -47.32663))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carthamus lanatus L."
 ]
}

 The dataset includes 82 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015480-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p95n4hx1
title: Kaloko-Honokōhau National Historical Park shrimp density and anchialine pool characteristics, 2017

description: This data release includes metadata and tabular data that documents counts of shrimp and measurements of field variables aimed to identify factors that affect the distribution and abundance of the uncommon anchialine pool shrimp Metabetaeus lohena at Kaloko-Honokōhau National Historical Park during 2017. The data set documents biological, chemical and physical attributes within 173 anchialine pools surveyed during the study.
DOI: 10.15468/dl.uncgz8
title: Occurrence Download

description: A dataset containing 12259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nautilidae",
 "Year 1901-2024"
 ]
}

 The dataset includes 12259 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015483-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zephxd
title: Occurrence Download

description: A dataset containing 2855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Cordia L."
 ]
}

 The dataset includes 2855 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015484-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbddd8
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-143.64931 20.82233,-55.35069 20.82233,-55.35069 56.17767,-143.64931 56.17767,-143.64931 20.82233))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustela nigripes (Audubon & Bachman, 1851)",
 "Year 1900-2024"
 ]
}

 The dataset includes 209 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015485-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tanzw
title: Occurrence Download

description: A dataset containing 39271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus americanus Pallas, 1780",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 39271 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015486-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21986/caida.data.ark-ipv4-dns-names
title: CAIDA UCSD IPv4 Routed /24 DNS Names

description: This dataset provides fully-qualified domain names for IP addresses seen in the traces of the IPv4 Routed /24 Topology dataset. DNS names are useful for obtaining additional information about routers and hosts making up the Internet topology. For example, DNS names of routers often encode the link type (backbone vs. access), link capacity, Point of Presence (PoP), and geographic location. We perform these DNS lookups centrally at CAIDA using a custom-built bulk DNS lookup service. This service performs millions of DNS lookups per day. In general, we perform DNS lookups soon after we collect the topology traces so that the results better match the state of the Internet at trace collection time.
DOI: 10.15468/dl.ejy2hm
title: Occurrence Download

description: A dataset containing 22329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "TaxonKey is Centaurea stoebe L."
 ]
}

 The dataset includes 22329 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015489-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wex48p
title: Occurrence Download

description: A dataset containing 21578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 21578 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015493-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp2/fgs3vo
title: Effect of raw and encapsulated policosanol on lipid profiles, blood biochemistry, activity, energy expenditure, and macronutrient metabolism of adult cats

description: Research data on lipid profiles, serum biochemistry, voluntary activity, energy expenditure, and macronutrient metabolism of healthy adult cats.
DOI: 10.15468/dl.tprxa4
title: Occurrence Download

description: A dataset containing 4816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus maritimus Phipps, 1774",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4816 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015498-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfdaek
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "DatasetKey is one of (Biodiversidad asociada al Estudio de Impacto Ambiental del proyecto: Interconexión Cuestecitas - Copey - Fundación 500/220 mil voltios, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-75.62447 6.15522,-75.59547 6.15522,-75.59547 6.18909,-75.62447 6.18909,-75.62447 6.15522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (LC, VU, EN, CR, NT)"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr65ab
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pusa hispida hispida"
 ]
}

 The dataset includes 161 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015505-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kq733w
title: Occurrence Download

description: A dataset containing 742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Malaysia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 742 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015502-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbnkms
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "DatasetKey is one of (Biodiversidad asociada al Estudio de Impacto Ambiental del proyecto: Interconexión Cuestecitas - Copey - Fundación 500/220 mil voltios, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((-75.62447 6.15522,-75.59547 6.15522,-75.59547 6.18909,-75.62447 6.18909,-75.62447 6.15522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (LC, VU, EN, CR, NT)"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015500-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmcnwr
title: Occurrence Download

description: A dataset containing 2223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urva auropunctata (Hodgson, 1836)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2223 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015507-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7357386
title: TRACES Sentiment Analysis Twitter Dataset

description: This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset contains 1810 unique tweet IDs, written in Bulgarian, with annotations (positive, negative, neutral). The tweets are on the topics of lies, manipulation, and Covid-19 and are a subset of the following datasets: https://zenodo.org/record/7296865 https://zenodo.org/record/7296736 https://zenodo.org/record/7296877 The tweets have been collected via Twitter API under academic access between 1 Jan 2020 - 28 June 2022 and thus <strong>cannot be used for commercial purposes</strong>.
description: This dataset was collected and annotated during the project TRACES, which has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).
DOI: 10.15468/dl.pfnn33
title: Occurrence Download

description: A dataset listing the 366 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-125.26934 50.0598,-125.27273 50.05906,-125.27526 50.05831,-125.27766 50.05578,-125.27892 50.05136,-125.27892 50.04698,-125.2768 50.04323,-125.27548 50.04143,-125.27193 50.04001,-125.26844 50.03921,-125.26227 50.04001,-125.25998 50.04096,-125.25729 50.04262,-125.25552 50.04487,-125.25445 50.04692,-125.25398 50.04972,-125.25548 50.05414,-125.25718 50.05753,-125.26215 50.05998,-125.26676 50.06017,-125.26934 50.0598))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 366 records were derived from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015442-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96d6a9
title: Occurrence Download

description: A dataset containing 9015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes lagopus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9015 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.