cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.92ehaf
title: Occurrence Download

description: A dataset containing 2148897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-90.628 28.927,-89.067 28.927,-89.067 30.106,-90.628 30.106,-90.628 28.927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "Year 2010-2026"
 ]
}

 The dataset includes 2148897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001928-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b69ax4
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alloteropsis paniculata"
 ]
}

 The dataset includes 145 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001945-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.25763.72482
title: Infinity‑Aletheia: Task‑Driven Protocol and Audit Evidence (v1.0.0‑final)
DOI: 10.6084/m9.figshare.29209094
title: flowering phenology.xlsx

description: This dataset includes nine parts of data. The first two parts are species-level flowering phenology data, while the others are community-level flowering phenology data and data on biotic and abiotic factors.This dataset contains 7 years of population-level observation data (2017-2023) and 2 years of individual-level observation data (2022-2023).
DOI: 10.6084/m9.figshare.29209094.v2
title: flowering phenology.xlsx

description: This dataset includes nine parts of data. The first two parts are species-level flowering phenology data, while the others are community-level flowering phenology data and data on biotic and abiotic factors.This dataset contains 7 years of population-level observation data (2017-2023) and 2 years of individual-level observation data (2022-2023).
DOI: 10.6084/m9.figshare.29209094.v1
title: flowering phenology.xlsx

description: This dataset includes nine parts of data. The first two parts are species-level flowering phenology data, while the others are community-level flowering phenology data and data on biotic and abiotic factors.This dataset contains 7 years of population-level observation data (2017-2023) and 2 years of individual-level observation data (2022-2023).
DOI: 10.15468/dl.pwagrd
title: Occurrence Download

description: A dataset containing 6274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alloteropsis semialata"
 ]
}

 The dataset includes 6274 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001946-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkw4g6
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is 1890",
 "ClassKey is Mammalia",
 "Country is Australia"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001947-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r43e8b
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera albida"
 ]
}

 The dataset includes 95 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001948-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r55kz8
title: Occurrence Download

description: A dataset containing 411713 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;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 23.025648717621866
 AND decimallongitude &lt;= 29.97037376181266
 AND GBIF_Within('POLYGON ((29.970374 37.428574, 29.970374 41.894152, 23.025649 41.894152, 23.025649 37.428574, 29.970374 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 411713 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001944-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14778852
title: Daily Market Prices of Commodity India (2001-2026)
DOI: 10.15468/dl.etn5s8
title: Occurrence Download

description: A dataset containing 506697 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 2025-12-14",
 "EventDate is less than or equal to 2026-01-13",
 {
 "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)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 506697 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001943-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18530039
title: SuperDARN data in netCDF format (2020-Dec)

description: 2020-Dec 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.7308893
title: SuperDARN data in netCDF format (2020-Dec)

description: 2020-Dec 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: 10.15468/dl.re9zyx
title: Occurrence Download

description: A dataset containing 1921 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera caracasana"
 ]
}

 The dataset includes 1921 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001949-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/a02ef1c
title: Passive beam shaping for terahertz quantum cascade lasers

description: All the data associated with each figure in the manuscript.Files:XYscanz_0mm.csv - QCL2 measurement dataXYscanz_0mm_figure.jpeg - QCL2 measurement figure
DOI: 10.15468/dl.hhxear
title: Occurrence Download

description: A dataset containing 1896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Carlowrightia arizonica"
 ]
}

 The dataset includes 1896 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001950-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32474.61126
title: Springer Nature - Discover Sustainability | Reviewer Certificate
DOI: 10.5281/zenodo.18530540
title: Local Geohistory Project: Open Data

description: The Local Geohistory Project aims to educate users and disseminate information concerning the geographic history and structure of political subdivisions and local government. This repository contains the data used to populate the project website. The tab-separated values (TSV) files containing the data are available in the data folder, and metadata is available in the metadata folder.


Currently, the open dataset only contains information related to New Jersey and Pennsylvania, with several scattered events concerning neighboring jurisdictions, mostly that currently border either state.


This repository does not contain the application code, which can be found in the Application repository, nor does it contain the table data for the bundled calendar extension.
DOI: 10.5281/zenodo.7807990
title: Local Geohistory Project: Open Data

description: The Local Geohistory Project aims to educate users and disseminate information concerning the geographic history and structure of political subdivisions and local government. This repository contains the data used to populate the project website. The tab-separated values (TSV) files containing the data are available in the data folder, and metadata is available in the metadata folder.


Currently, the open dataset only contains information related to New Jersey and Pennsylvania, with several scattered events concerning neighboring jurisdictions, mostly that currently border either state.


This repository does not contain the application code, which can be found in the Application repository, nor does it contain the table data for the bundled calendar extension.
DOI: 10.15468/dl.fcjs6d
title: Occurrence Download

description: A dataset containing 543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Carlowrightia neesiana"
 ]
}

 The dataset includes 543 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001952-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5xp6vh42
title: MassIVE MSV000100764 - Ultrasensitive LC-MS-Based Top-Down Proteomics Compared with Bottom-Up Proteomics in Profiling of Limited Samples
title: The advantages of top-down proteomics (TDP) in the characterization of proteoforms, resulting from genetic variations, alternative splicing, and post-translational modifications, have been well documented. However, TDP applications on limited samples have been less explored, and no direct comparison with the bottom-up proteomics (BUP) approach for the same scarce amounts of samples has been conducted up to date. In this work, we processed ~100-1,000 HeLa cells using bottom-up and top-down workflows and subjected sample volumes equivalent to ~25 and up to ~250 HeLa cells to liquid chromatography-mass spectrometry (LC-MS) -based TDP and BUP analyses. Porous layer open-tubular (PLOT) columns were used for the separation of TDP prior to MS, while traditional bead-packed columns were used for the BUP. Up to 300 proteoforms and 898 proteins from cell lysates equivalent to ~25 HeLa cells were identified in TDP and BUP respectively. Interestingly, among all the identified proteins from both ~25 HeLa cell lysate and ~250 HeLa lysate in TDP, ~30% of the proteins were not unambiguously identified in BUP of the same sample loading, which suggests significant complementarity of TDP. Additionally, biologically relevant post-translational modifications (e.g., acetylation, phosphorylation, and methylation) were broadly characterized in TDP as different proteoforms. We anticipate that top-down proteomics enhanced by the application of ultralow flow PLOT chromatography column techniques coupled to MS could be a supplementary or alternative approach for limited sample analysis, as it eliminates the need for protein digestions and minimizes sample cleanup
DOI: 10.5281/zenodo.18530504
title: HORDB 2.0

description: Peptide hormones (or peptide hormones) are key signaling molecules secreted by endocrine cells, regulating vital processes such as metabolism, growth, development, and reproduction. Advances in protein detection and machine learning continue to reveal novel peptide hormones, highlighting their potential in clinical applications and drug development.To support systematic research, we have upgraded HORDB to version 2.0, an open-access, manually curated database of peptide hormones. It comprises 7,390 entries, including 7307 peptide hormones and 83 peptide hormone drugs, which correspond to 372 marketed formulations. Each entry is annotated with sequence, activity, structure, physicochemical properties, patents, clinical data, and references. Additional parameters such as IC₅₀, EC₅₀, ED₅₀, and blood–brain barrier permeability are included to aid peptide modification and drug design.The database features a user-friendly interface for browsing, searching, and downloading data. A submission portal enables community updates, and integrated tools support online analysis of peptide properties and functions. HORDB 2.0 serves as a comprehensive and practical resource for peptide hormone research and therapeutic development.
DOI: 10.5281/zenodo.18530505
title: HORDB 2.0

description: Peptide hormones (or peptide hormones) are key signaling molecules secreted by endocrine cells, regulating vital processes such as metabolism, growth, development, and reproduction. Advances in protein detection and machine learning continue to reveal novel peptide hormones, highlighting their potential in clinical applications and drug development.To support systematic research, we have upgraded HORDB to version 2.0, an open-access, manually curated database of peptide hormones. It comprises 7,390 entries, including 7307 peptide hormones and 83 peptide hormone drugs, which correspond to 372 marketed formulations. Each entry is annotated with sequence, activity, structure, physicochemical properties, patents, clinical data, and references. Additional parameters such as IC₅₀, EC₅₀, ED₅₀, and blood–brain barrier permeability are included to aid peptide modification and drug design.The database features a user-friendly interface for browsing, searching, and downloading data. A submission portal enables community updates, and integrated tools support online analysis of peptide properties and functions. HORDB 2.0 serves as a comprehensive and practical resource for peptide hormone research and therapeutic development.
DOI: 10.15468/dl.8sa6aq
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera crucis"
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001954-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.25993.10089
title: Springer Nature - Energy Efficiency | Reviewer Certificate
DOI: 10.13140/rg.2.2.29119.16809
title: RRR-E025-D- NEW IDEAS –SET ONE-FREQUENCY DATA FOR ANALYSIS GCD STEP 07 PERSIAN QUANTILE COMPLETE.JPEG
DOI: 10.5281/zenodo.18530450
title: Genome assembly of Achromobacter semiaridium AGC39
DOI: 10.5281/zenodo.18530451
title: Genome assembly of Achromobacter semiaridium AGC39
DOI: 10.15468/dl.364avp
title: Occurrence Download

description: A dataset containing 29384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera denticulata"
 ]
}

 The dataset includes 29384 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001955-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc68zs
title: Occurrence Download

description: A dataset containing 56120 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;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 28.782060897027332
 AND decimallongitude &lt;= 35.96444851417518
 AND GBIF_Within('POLYGON ((35.964449 37.428574, 35.964449 41.894152, 28.782061 41.894152, 28.782061 37.428574, 35.964449 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 56120 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001951-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx6ex4
title: Occurrence Download

description: A dataset containing 4197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera ficoidea"
 ]
}

 The dataset includes 4197 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001956-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18530584
title: Genome assembly of Achromobacter colocynthi AGC45
DOI: 10.5281/zenodo.18530585
title: Genome assembly of Achromobacter colocynthi AGC45
DOI: 10.15468/dl.x9artv
title: Occurrence Download

description: A dataset containing 263686 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 2026-01-14",
 "EventDate is less than or equal to 2026-02-13",
 {
 "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)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 263686 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001953-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dz4nyx
title: Occurrence Download

description: A dataset containing 2148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Alternanthera nana"
 ]
}

 The dataset includes 2148 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001958-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.