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

description: A dataset containing 5476 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -24.552553756517728
 AND decimallatitude &lt;= -20.3845909579754
 AND decimallongitude &gt;= 20.76920974450522
 AND decimallongitude &lt;= 26.450229726150916
 AND GBIF_Within('POLYGON ((26.450230 -24.552554, 26.450230 -20.384591, 20.769210 -20.384591, 20.769210 -24.552554, 26.450230 -24.552554))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 5476 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017376-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/qgtmg2
title: Integrative taxonomy of the Cercomacra cinerascens species complex with description of two new species (Aves: Thamnophilidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cavarzere, Vagner, Breviglieri, Enrico L., Silveira, Luís F. (2026): Integrative taxonomy of the Cercomacra cinerascens species complex with description of two new species (Aves: Thamnophilidae). Vertebrate Zoology 76: 73-91, DOI: 10.3897/vz.76.e171834AbstractThe genus Cercomacra includes six species, among them C. cinerascens, which is widespread throughout the Amazon Basin. Historically, six names have been proposed for this species complex, but only four are currently recognized. Past studies have explored relationships among Cercomacra species using either morphological or molecular data, with taxonomic assessments mainly conducted in the early 20 th century. To reevaluate the validity of the currently accepted C. cinerascens taxa, we performed a comprehensive taxonomic revision that combined traditional morphological and vocal analyses. Additionally, we used BirdNET, a pre-trained deep learning algorithm developed for bird sound classification. We examined 682 specimens and 347 recordings and identified two distinct morphotypes distributed north and south of the Amazon Basin, along with four recognizable loudsong types. Using both morphological and vocal features, we identified five distinct lineages, two of which are newly described and named. Cercomacra cinerascens occurs north of the Pastaza and Amazon Rivers in northern Amazonia; C. sclateri is found in eastern Ecuador and Peru, south of the Pastaza River and east of the Andes, east to the Ucayali River; and C. iterata stat. nov. is located east of the Tapajos River. The two newly described species are found south of the Amazon and Marañon Rivers. Cercomacra mura sp. nov. occupies the Ucayali-Madeira interfluve, and Cercomacra raucisona sp. nov. inhabits the Madeira-Tapajos interfluve.
DOI: 10.15468/dl.jx39mb
title: Occurrence Download

description: A dataset containing 247819 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pycnopodia helianthoides"
 ]
}

 The dataset includes 247819 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017335-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18510664
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad en México. Ensanut 2021-2024
DOI: 10.5281/zenodo.18510665
title: Cuadros suplementarios. Enfermedades diarreicas en niñas y niños menores de 5 años en diferentes contextos de urbanidad en México. Ensanut 2021-2024
DOI: 10.5281/zenodo.18510652
title: Direito_autotal_bid

description: Direito autoral BID
DOI: 10.5281/zenodo.18510653
title: Direito_autotal_bid

description: Direito autoral BID
DOI: 10.5281/zenodo.18495964
title: Raw data for the manuscript: 'Water-extractable organic matter in soils of an organic dairy farming crop rotation: drivers of content and quality'

description: The water-extractable organic carbon (WEOC/WEOM) content and quality of soils on an organically managed dairy farm (Aumenau, Hesse, Germany) were assessed using specific UV absorption values SUVA254 and fluorescence indices (HIX, BIX, FI) from 2022 to 2024 in six sampling campaigns. The results were analysed in conjunction with meteorological data, soil and site characteristics, and management methods using mixed linear effect models. The raw data includes: concentration and content of water-soluble organic carbon, SUVA254, HIX, BIX, FI, soil texture, bulk density, pH, electrical conductivity, gamma radiation, slope, soil organic carbon, soil mineral nitrogen Nmin, air and soil temperature, precipitation, water content, and information on crops with sowing and harvesting times, tillage intensity, and cow manure application data.

The data can be found with an explanation in ‘Water_extractable_orgC_controllingDrivers.xlsx’. The locations of the trial areas can be found in the geopaket ‘subplot_cropland.gpkg’.
DOI: 10.18739/a2154dr2h
title: Ice Nucleating Particle (INP) Concentrationsand Treatment Data from Fairbanks, Alaska during the Alaskan Layered Pollution And Chemical Analysis (ALPACA) 2022 field study

description: These measurements were made as part of the Alaskan Layered Pollution And Chemical Analysis (ALPACA) field campaign, which investigated wintertime air pollution under cold, dark conditions in Fairbanks during January and February 2022. This dataset includes ice nucleating particle (INP) concentrations measured using an online and offline technique. Online INP measurements were made using a Continuous Flow Diffusion Chamber – Ice Activation Spectrometer (CFDC-IAS; Handix Scientific, Inc.). Offline INP measurements were obtained using the Colorado State University Ice Spectrometer (IS) from polycarbonate filter samples and size-resolved aerosol samples collected with a Davis Rotating-drum Unit for Monitoring (DRUM; model DA-400 DRUMAir™).
 For the offline filter and DRUM samples, heat and peroxide treatments were applied to estimate the contributions of INP types, including heat-labile organic, heat-stable organic, and inorganic INPs. In addition to ambient aerosol measurements, this dataset includes INP concentrations from local source materials, including lichen collected from spruce and alder trees and road gravel samples. Source samples were analyzed using the same treatment methods to characterize INP type and freezing behavior.
 Together, these measurements provide size-resolved and bulk INP concentrations, INP type classifications, and comparisons between ambient aerosols and local source materials during wintertime in Fairbanks during ALPACA. 
 For more detailed information, please refer to: Greeney, S., E. Buxton, R. Perkins, S. Kreidenweis, P. J. DeMott, E. Costa, K. Pratt, L. Forshee, E. Levin, B. Temime-Roussel, B. D’Anna, K. S. Law, and J. Creamean: A comprehensive analysis of ice nucleating particles in a subarctic urban environment during the ALPACA campaign, Journal of Geophysical Research: Atmospheres, submitted, 2026.
DOI: 10.25921/45vk-3743
title: EK60 Water Column Sonar Data Collected During EX2502
DOI: 10.15468/dl.g7d5qk
title: Occurrence Download

description: A dataset containing 348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Michigan Museum of Zoology, Microbes, Parasites, and Biodiversity Initiative",
 "TaxonKey is one of (Myotis elegans, Myotis pilosatibialis, Artibeus jamaicensis, Artibeus intermedius, Artibeus lituratus)",
 "Year 2024-2026"
 ]
}

 The dataset includes 348 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017382-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.7phwt6cy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (95 records)
DOI: 10.5281/zenodo.15325562
title: TABLE 1 in A new species of planthopper in the genus Colpoptera (Hemiptera: Fulgoroidea: Nogodinidae) from the Northeastern coast of Jamaica

description: TABLE 1. Primers used to amplify corresponding gene regions that were used to assess the placement of novel taxon and PCR parameters for each locus.
LocusPrimerDirectionSequence (5’ → 3’)AnnealingExtensionReferenceCOICOI_D1_FForwardGGAACWATAAGAAGWATAATYATYCG40 ˚C1 min. 30 sec.Humphries et al. 2021C1-J-2195RCReverseACTTCTGGATGACCAAAAAATCAA18S18SFForwardACTGTCGATGGTAGGTTCTG50 ˚C2 min.Bahder et al. 201918SRReverseGTCCGAAGACCTCACTAAA
description: Published as part of Bahder, Brian W., Myrie, Wayne, Helmick, Ericka E., Van Dam, Alex R. & Bartlett, Charles R., 2024, A new species of planthopper in the genus Colpoptera (Hemiptera: Fulgoroidea: Nogodinidae) from the Northeastern coast of Jamaica, pp. 522 in Zootaxa 5424 (5) on page 522, DOI: 10.11646/zootaxa.5424.5.2, http://zenodo.org/record/14895703
DOI: 10.5281/zenodo.15325563
title: TABLE 1 in A new species of planthopper in the genus Colpoptera (Hemiptera: Fulgoroidea: Nogodinidae) from the Northeastern coast of Jamaica

description: TABLE 1. Primers used to amplify corresponding gene regions that were used to assess the placement of novel taxon and PCR parameters for each locus.
LocusPrimerDirectionSequence (5’ → 3’)AnnealingExtensionReferenceCOICOI_D1_FForwardGGAACWATAAGAAGWATAATYATYCG40 ˚C1 min. 30 sec.Humphries et al. 2021C1-J-2195RCReverseACTTCTGGATGACCAAAAAATCAA18S18SFForwardACTGTCGATGGTAGGTTCTG50 ˚C2 min.Bahder et al. 201918SRReverseGTCCGAAGACCTCACTAAA
description: Published as part of Bahder, Brian W., Myrie, Wayne, Helmick, Ericka E., Van Dam, Alex R. & Bartlett, Charles R., 2024, A new species of planthopper in the genus Colpoptera (Hemiptera: Fulgoroidea: Nogodinidae) from the Northeastern coast of Jamaica, pp. 522 in Zootaxa 5424 (5) on page 522, DOI: 10.11646/zootaxa.5424.5.2, http://zenodo.org/record/14895703
DOI: 10.15472/wuvlrs
title: Caracterización de fauna al interior del Banco de Hábitat Sabanas de altillanura del Meta - El Amparo

description: Los Bancos de Hábitat se definen como un área en la que se pueden realizar actividades de preservación, restauración, rehabilitación, recuperación y/o uso sostenible para la conservación de la biodiversidad. Así mismo se convierten en un mecanismo de implementación de inversiones ambientales y compensaciones, ampliamente utilizado en otros países, los cuales han demostrado generar resultados permanentes y sostenibles en materia de conservación de ecosistemas, contribuyendo en la implementación de las medidas compensatorias.En este conjunto de datos (386 registros biológicos) se presentan los resultados de la caracterización de fauna en el Banco de Hábitat Sabanas de altillanura del Meta - El Amparo, ubicado en el municipio de Puerto López, Meta-Colombia. Estos registros pertenecen al reino Animalia. Se encuentran distribuidos en 4 clases, 29 órdenes, 57 familias, 107 géneros y 106 especies. Un 98,48% está clasificado a nivel de especie, 0,26% a nivel de familia y 0,26% a nivel de orden.
DOI: 10.5281/zenodo.18510076
title: SuperDARN data in netCDF format (2015-Oct)

description: 2015-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6425768
title: SuperDARN data in netCDF format (2015-Oct)

description: 2015-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.17632/sc4vpjwmdz.2
title: Iterative Vaccine Design in an Era of Emerging Infectious Diseases - serology and murine dataset

description: This work demonstrates a rapid and responsive pipeline for T-cell-specific multi-target vaccine development that leverages epitope identification, protein folding, and docking to render a collection of viral proteomes into a ranked list of peptide candidates scored for immunogenicity, allele coverage, solubility, and epitope stability in cleavage and processing. After epitope reactiveness was evaluated by microarrays, molecular dynamics simulations were used to assess the epitope's correct binding to the target host MHC. Finally, flow cytometry evaluated T-cell antigen-specific immunogenicity on mice and human peripheral blood mononuclear cells (PBMCs). Most final epitopes could elicit strong T-cell activation with the secretion of IFN-ɣ, TNF-α, or IL-2 – varying by host species and HLA allele. Final candidates were selected by overall scores in a string-of-beads design. This furthers the specific aim of developing vaccines for alphaviruses and the general aim of establishing efficient and tunable processes for vaccine development in a global setting.
Data here was organized by the figure panel on the original manuscript to allow straightforward interpretation. Each folder contains the raw data and the analysis datasheet for serology and mouse experiments, including the original workspace on the statistical software used for data plots. Each folder also contains a plate map or sample ID to allow interpretation of the raw data.
DOI: 10.17632/h93cpdmtk2
title: Iterative Vaccine Design in an Era of Emerging Infectious Diseases – alphavirus pre-exposed PBMCs dataset

description: This work demonstrates a rapid and responsive pipeline for T-cell-specific multi-target vaccine development that leverages epitope identification, protein folding, and docking to render a collection of viral proteomes into a ranked list of peptide candidates scored for immunogenicity, allele coverage, solubility, and epitope stability in cleavage and processing. After epitope reactiveness was evaluated by microarrays, molecular dynamics simulations were used to assess the epitope's correct binding to the target host MHC. Finally, flow cytometry evaluated T-cell antigen-specific immunogenicity on mice and human peripheral blood mononuclear cells (PBMCs). Most final epitopes could elicit strong T-cell activation with the secretion of IFN-ɣ, TNF-α, or IL-2 – varying by host species and HLA allele. Final candidates were selected by overall scores in a string-of-beads design. This furthers the specific aim of developing vaccines for alphaviruses and the general aim of establishing efficient and tunable processes for vaccine development in a global setting.
Data here was organized by the figure panel on the original manuscript to allow straightforward interpretation. Each folder contains the raw data and the analysis datasheet for the alphavirus pre-exposed (vaccinees) human PBMC experiments presented in the manuscript, including the original workspace on the statistical software used for data plot. Each folder also contains a plate map or sample ID to allow interpretation of the raw data.
DOI: 10.15468/dl.7g3h5j
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, University of Florida Herpetology, NCSM Herpetology Collection, Auburn University Museum of Natural History Herpetology Voucher Collections, University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, Southeastern Louisiana University Herpetology Collection, Museum of Comparative Zoology, Harvard University, NMNH Extant Specimen Records (USNM, US), MSB Amphibian and Reptile Collection (Arctos), Macaulay Library Audio and Video Collection)",
 "GadmGid is USA.43_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyla gratiosa"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017386-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h93cpdmtk2.2
title: Iterative Vaccine Design in an Era of Emerging Infectious Diseases – alphavirus pre-exposed PBMCs dataset

description: This work demonstrates a rapid and responsive pipeline for T-cell-specific multi-target vaccine development that leverages epitope identification, protein folding, and docking to render a collection of viral proteomes into a ranked list of peptide candidates scored for immunogenicity, allele coverage, solubility, and epitope stability in cleavage and processing. After epitope reactiveness was evaluated by microarrays, molecular dynamics simulations were used to assess the epitope's correct binding to the target host MHC. Finally, flow cytometry evaluated T-cell antigen-specific immunogenicity on mice and human peripheral blood mononuclear cells (PBMCs). Most final epitopes could elicit strong T-cell activation with the secretion of IFN-ɣ, TNF-α, or IL-2 – varying by host species and HLA allele. Final candidates were selected by overall scores in a string-of-beads design. This furthers the specific aim of developing vaccines for alphaviruses and the general aim of establishing efficient and tunable processes for vaccine development in a global setting.
Data here was organized by the figure panel on the original manuscript to allow straightforward interpretation. Each folder contains the raw data and the analysis datasheet for the alphavirus pre-exposed (vaccinees) human PBMC experiments presented in the manuscript, including the original workspace on the statistical software used for data plot. Each folder also contains a plate map or sample ID to allow interpretation of the raw data.
DOI: 10.17632/56snf3rv4f.2
title: Iterative Vaccine Design in an Era of Emerging Infectious Diseases - healthy donors’ dataset

description: This work demonstrates a rapid and responsive pipeline for T-cell-specific multi-target vaccine development that leverages epitope identification, protein folding, and docking to render a collection of viral proteomes into a ranked list of peptide candidates scored for immunogenicity, allele coverage, solubility, and epitope stability in cleavage and processing. After epitope reactiveness was evaluated by microarrays, molecular dynamics simulations were used to assess the epitope's correct binding to the target host MHC. Finally, flow cytometry evaluated T-cell antigen-specific immunogenicity on mice and human peripheral blood mononuclear cells (PBMCs). Most final epitopes could elicit strong T-cell activation with the secretion of IFN-ɣ, TNF-α, or IL-2 – varying by host species and HLA allele. Final candidates were selected by overall scores in a string-of-beads design. This furthers the specific aim of developing vaccines for alphaviruses and the general aim of establishing efficient and tunable processes for vaccine development in a global setting.
Data here was organized by the figure panel on the original manuscript to allow straightforward interpretation. Each folder contains the raw data for each independent experiment and the analysis datasheet for the human PBMC experiments presented in the manuscript, including the original workspace on the statistical software used for data plot. Each folder also contains a plate map or sample ID to allow interpretation of the raw data.
DOI: 10.15468/dl.58r9q7
title: Occurrence Download

description: A dataset containing 451658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meles meles",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 451658 records from 2482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017340-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9hnba
title: Occurrence Download

description: A dataset containing 53809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Isoetaceae"
 ]
}

 The dataset includes 53809 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121662-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46tzqe
title: Occurrence Download

description: A dataset containing 27399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium vulgare Mill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27399 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263551-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.