cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10999753
title: The PANORAMA Challenge: Public Training and Development Dataset (4)

description: This dataset represents the PANORAMA: Public Training and Development Dataset. It contains 2238 anonymized contrast-enhanced CT (CECT) scans acquired at two centers (Radboud University Medical Center, University Medical Center Groningen) based in The Netherlands. Additionally, it contains 194 cases from the Medical Segmentation Decathlon dataset and 80 cases from National Institutes of Health. For all updates/fixes regarding this dataset, please join the challenge and check out our dedicated forum post on this topic. The corresponding labels of the PANORAMA dataset can be found here. 

The PANORAMA challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at pancreatic ductal adenocarcinoma (PDAC) detection/diagnosis in CECT, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting in the hidden testing dataset. The study hypothesizes that state-of-the-art AI algorithms are non-inferior to radiologists reading CECT.

Key aspects of the PANORAMA study design have been established in conjunction with an international scientific advisory board of 13 experts in AI and pancreas radiology as well as a patient representative —to unify and standardize present-day guidelines, and to ensure meaningful validation of pancreas AI towards clinical translation (Reinke et al., 2021).

This PANORAMA dataset contains: batch 4 out of 4
description: Natália Alves and Megan Schuurmans contributed equally to this work.
DOI: 10.5281/zenodo.10999754
title: The PANORAMA Challenge: Public Training and Development Dataset (4)

description: This dataset represents the PANORAMA: Public Training and Development Dataset. It contains 2238 anonymized contrast-enhanced CT (CECT) scans acquired at two centers (Radboud University Medical Center, University Medical Center Groningen) based in The Netherlands. Additionally, it contains 194 cases from the Medical Segmentation Decathlon dataset and 80 cases from National Institutes of Health. For all updates/fixes regarding this dataset, please join the challenge and check out our dedicated forum post on this topic. The corresponding labels of the PANORAMA dataset can be found here. 

The PANORAMA challenge is an all-new grand challenge that aims to validate the diagnostic performance of artificial intelligence and radiologists at pancreatic ductal adenocarcinoma (PDAC) detection/diagnosis in CECT, with histopathology and follow-up (≥ 3 years) as the reference standard, in a retrospective setting in the hidden testing dataset. The study hypothesizes that state-of-the-art AI algorithms are non-inferior to radiologists reading CECT.

Key aspects of the PANORAMA study design have been established in conjunction with an international scientific advisory board of 13 experts in AI and pancreas radiology as well as a patient representative —to unify and standardize present-day guidelines, and to ensure meaningful validation of pancreas AI towards clinical translation (Reinke et al., 2021).

This PANORAMA dataset contains: batch 4 out of 4
description: Natália Alves and Megan Schuurmans contributed equally to this work.
DOI: 10.15468/dl.bax3np
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothobranchius polli Wildekamp, 1978"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330312-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb4pq3
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sideritis ×paui Font Quer"
 ]
}

 The dataset includes 55 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128598-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7e4c3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sideritis ×petriludovici Obón & D.Rivera"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128603-230530130749713/datasets/export for details.
DOI: 10.15468/dl.4e7mkh
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasiancistrus schomburgkii (Günther, 1864)"
 ]
}

 The dataset includes 117 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330307-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uahvq6
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sideritis phlomoides Boiss. & Balansa"
 ]
}

 The dataset includes 17 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128606-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hu39h6
title: Occurrence Download

description: A dataset containing 14501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis (L.) Pallas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14501 records from 182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070137-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/42516
title: Chandra X-ray Observatory ObsId 42516
DOI: 10.5281/zenodo.15173539
title: A large-scale survey of translators employed at the Swiss Confederation

description: This survey was designed as part of a year-long research project on the profile and needs of in-house translators working for the language services of the Swiss Confederation. It was distributed in English, French, German, and Italian through an institutional gatekeeper to all language services within the various administrative units ((Federal Chancellery, Parliament, Federal Departments or Departments’ General Secretariat and Federal Offices and administrative units within the Departments). The survey contains a series of open and closed questions concerning: (i) general information about the respondent, such as their unit, target language, and position within the language service (metadata); (ii) background, profiles, and competences; (iii) tasks; (iv) use and perception of translation technologies; and (v) pain points. A total of 217 full responses were collected, representing a response rate of 45%, along with an additional 12 partial responses. This resource includes: (1) a READ-ME file with a detailed description of the resource; (2) the multilingual survey in .docx format; and (3) the anonymised responses of survey participants in .xlsx format.
DOI: 10.5281/zenodo.15173540
title: A large-scale survey of translators employed at the Swiss Confederation

description: This survey was designed as part of a year-long research project on the profile and needs of in-house translators working for the language services of the Swiss Confederation. It was distributed in English, French, German, and Italian through an institutional gatekeeper to all language services within the various administrative units ((Federal Chancellery, Parliament, Federal Departments or Departments’ General Secretariat and Federal Offices and administrative units within the Departments). The survey contains a series of open and closed questions concerning: (i) general information about the respondent, such as their unit, target language, and position within the language service (metadata); (ii) background, profiles, and competences; (iii) tasks; (iv) use and perception of translation technologies; and (v) pain points. A total of 217 full responses were collected, representing a response rate of 45%, along with an additional 12 partial responses. This resource includes: (1) a READ-ME file with a detailed description of the resource; (2) the multilingual survey in .docx format; and (3) the anonymised responses of survey participants in .xlsx format.
DOI: 10.15468/dl.6gjyt4
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tursiops australis Charlton-Robb, Gershwin, Thompson, Austin, Owen & McKechnie, 2011",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 394 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010607-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33zst2
title: Occurrence Download

description: A dataset containing 2748 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer barbatum"
 ]
}

 The dataset includes 2748 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057017-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmv7v2
title: Occurrence Download

description: A dataset containing 55 records in GBIF matching the query:

SELECT
countryCode,
 CASE
WHEN classKey IN ('359') THEN 'mammals'
WHEN classKey IN ('212') THEN 'birds'
WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'bonyfish'
WHEN classKey IN ('131') THEN 'amphibians'
WHEN classKey IN ('216') THEN 'insects'
WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'reptiles'
WHEN phylumKey IN ('52') THEN 'molluscs'
WHEN classKey IN ('367') THEN 'arachnids'
WHEN classKey IN ('220', '196') THEN 'floweringplants'
WHEN classKey IN ('194', '244', '228', '282') THEN 'gymnosperms'
WHEN orderKey IN ('392') THEN 'ferns'
WHEN phylumKey IN ('35') THEN 'mosses'
WHEN phylumKey IN ('95') THEN 'sacfungi'
WHEN phylumKey IN ('34') THEN 'basidiomycota'
ELSE 'other'
END AS taxon_group,
 COUNT(*) AS occurrence_count,
 COUNT(DISTINCT speciesKey) AS distinct_species_count
FROM occurrence
WHERE countryCode IN ('BW', 'CO', 'DK', 'AU')
AND "year" &gt;= 1600 AND "year" &lt;= 2024
GROUP BY
countryCode,
 CASE
WHEN classKey IN ('359') THEN 'mammals'
WHEN classKey IN ('212') THEN 'birds'
WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'bonyfish'
WHEN classKey IN ('131') THEN 'amphibians'
WHEN classKey IN ('216') THEN 'insects'
WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'reptiles'
WHEN phylumKey IN ('52') THEN 'molluscs'
WHEN classKey IN ('367') THEN 'arachnids'
WHEN classKey IN ('220', '196') THEN 'floweringplants'
WHEN classKey IN ('194', '244', '228', '282') THEN 'gymnosperms'
WHEN orderKey IN ('392') THEN 'ferns'
WHEN phylumKey IN ('35') THEN 'mosses'
WHEN phylumKey IN ('95') THEN 'sacfungi'
WHEN phylumKey IN ('34') THEN 'basidiomycota'
ELSE 'other'
END
ORDER BY occurrence_count DESC;


 The dataset's 55 records were derived from 7207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056992-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g86tky
title: Occurrence Download

description: A dataset containing 17623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25.7_2",
 "TaxonKey is Passeriformes"
 ]
}

 The dataset includes 17623 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001372-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14226276
title: Bulk RNA Seq of Electrically Stimulated Retinal Organoids

description: Considering the significant role played by both intrinsic and extrinsic electric fields in the growth and maturation of the central nervous system, the impact of short exposure to external electric fields on the development and differentiation of retinal organoids was investigated.Organoids derived from human embryonic stem cells at day 80, a critical time point in their differentiation and maturation, were used. A single 60-minute exposure to a distinct biphasic electrical field influenced neuronal development and increased the population of photoreceptors. Initial immunohistochemistry and qPCR studies confirmed the influence of electrical stimulation on the development and differentiation of various RO cell types. RNA sequencing data revealed elevated expression of rod photoreceptors, Müller cells, horizontal cells, and amacrine cells, alongside the downregulation of retinal pigment epithelium and retinal ganglion cell genes.Furthermore, our study demonstrated varying degrees of organoid development and maturation depending on the specific electrical field applied. These findings highlight the significant impact of extrinsic electrical fields on early retinal development and suggest that optimizing electrical field parameters could effectively address certain limitations in retinal organoid technology, potentially reducing the reliance on chemicals and small molecules.
DOI: 10.5281/zenodo.14226277
title: Bulk RNA Seq of Electrically Stimulated Retinal Organoids

description: Considering the significant role played by both intrinsic and extrinsic electric fields in the growth and maturation of the central nervous system, the impact of short exposure to external electric fields on the development and differentiation of retinal organoids was investigated.Organoids derived from human embryonic stem cells at day 80, a critical time point in their differentiation and maturation, were used. A single 60-minute exposure to a distinct biphasic electrical field influenced neuronal development and increased the population of photoreceptors. Initial immunohistochemistry and qPCR studies confirmed the influence of electrical stimulation on the development and differentiation of various RO cell types. RNA sequencing data revealed elevated expression of rod photoreceptors, Müller cells, horizontal cells, and amacrine cells, alongside the downregulation of retinal pigment epithelium and retinal ganglion cell genes.Furthermore, our study demonstrated varying degrees of organoid development and maturation depending on the specific electrical field applied. These findings highlight the significant impact of extrinsic electrical fields on early retinal development and suggest that optimizing electrical field parameters could effectively address certain limitations in retinal organoid technology, potentially reducing the reliance on chemicals and small molecules.
DOI: 10.5281/zenodo.14227216
title: Post-fire spectral recovery and driving factors across the boreal and temperate forests
DOI: 10.6084/m9.figshare.24297604
title: GRACE input

description: Filling GRACE Data Gap Using an Innovative Transformer-Based Deep Learning ApproachWang, L., & Zhang, Y. (2024). Filling GRACE data gap using an innovative transformer-based deep learning approach. <i>Remote Sensing of Environment</i>, <i>315</i>, 114465. https://doi.org/10.1016/j.rse.2024.114465The source code in https://github.com/GISWLH/Transformer_GRACE
DOI: 10.15468/dl.np94fq
title: Occurrence Download

description: A dataset containing 6034113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6034113 records from 881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001299-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msqafc
title: Occurrence Download

description: A dataset containing 30511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 2010,2021",
 "Month is one of (September, October, November)",
 "TaxonKey is one of (Acridotheres tristis (Linnaeus, 1766))",
 "Geometry POLYGON((108 20, 157 20, 157 55, 108 55, 108 20))"
 ]
}

 The dataset includes 30511 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001373-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahnqps
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vateria indica L."
 ]
}

 The dataset includes 382 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001375-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzqk5f
title: Occurrence Download

description: A dataset containing 34755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25.7_2",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 34755 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001374-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyvsm6
title: Occurrence Download

description: A dataset containing 670108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-10-01",
 "EventDate is less than or equal to 2024-10-31",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 670108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001331-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh3r74
title: Occurrence Download

description: A dataset containing 6034113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6034113 records from 881 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001298-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vahgdp
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is India",
 "DatasetKey is one of (iNaturalist Research-grade Observations, India Biodiversity Portal publication grade dataset)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 62431bdf-fa0c-452b-afce-be14884a47ff)",
 "TaxonKey is Calliophis nigrescens (Günther, 1862)",
 "Year 2000-2025"
 ]
}

 The dataset includes 77 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005276-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4sc5h
title: Occurrence Download

description: A dataset containing 331402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipitridae",
 "Year 2018-2025"
 ]
}

 The dataset includes 331402 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005262-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4t8fp
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrathena triangularispinosa (De Geer, 1778)"
 ]
}

 The dataset includes 262 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005277-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfbum2
title: Occurrence Download

description: A dataset containing 344272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 31.0-712400.0",
 "Country is China"
 ]
}

 The dataset includes 344272 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005273-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0213837.10fu
title: SH0213837.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.