cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7jac94
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((111.357 21.461,115.422 21.461,115.422 24.392,111.357 24.392,111.357 21.461))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amolops hongkongensis"
 ]
}

 The dataset includes 318 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019201-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2m8s39
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tipula koreana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019202-260108223611665/datasets/export for details.
DOI: 10.15468/dl.h2ynqf
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dalbergia melanoxylon",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019203-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18295121
title: Pharus ecuadoricus Judz. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295122
title: Pharus ecuadoricus Judz. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295126
title: Pharus lappulaceus Aubl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295127
title: Pharus lappulaceus Aubl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18294956
title: SuperDARN data in netCDF format (2001-Mar)

description: 2001-Mar 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.6799553
title: SuperDARN data in netCDF format (2001-Mar)

description: 2001-Mar 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.18295134
title: Pharus latifolius L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295135
title: Pharus latifolius L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/dl.qg65kz
title: Occurrence Download

description: A dataset containing 43249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is one of (Albania, Andorra, Algeria, Cyprus, France, Greece, Iran (Islamic Republic of), Italy, Lebanon, Syrian Arab Republic, Libya, Morocco, Palestine, State of, Israel, Egypt, Spain, Tunisia, Türkiye, Kosovo, Serbia, Croatia, North Macedonia, Montenegro, Bosnia and Herzegovina, Slovenia, San Marino, Holy See)",
 "Geometry POLYGON((-13.2 -90,180 -90,180 47.1,-13.2 47.1,-13.2 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Coordinate reprojected, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Ceratonia siliqua"
 ]
}

 The dataset includes 43249 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019204-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyqz5t
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erionota torus",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 231 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019206-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/s82cj3
title: Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kovačić, Marcelo, Renoult, Julien P., Pillon, Roberto, Svensen, Rudolf, Bogorodsky, Sergey V., Engin, Semih, Louisy, Patrick (2022): Identification of Mediterranean marine gobies (Actinopterygii: Gobiidae) of the continental shelf from photographs of in situ individuals. Zootaxa 5144 (1): 1-103, DOI: 10.11646/zootaxa.5144.1.1, URL: http://zoobank.org/3d15f4cb-1839-41fc-bece-bae2d8f87cb5AbstractNumerous photographs of live fishes posted by anglers and divers on social media and citizen science databases are important sources of information for ichthyological research. However, validating records that extend the known ecology and bathymetric or geographic distribution of species should rely on a rigorous identification process. The family Gobiidae, with their small size, superficial resemblance among species and high species richness are particularly difficult to identify. Therefore, the identification from photographs of live individuals of Mediterranean marine gobies from the continental shelf was studied. A dichotomous identification key is provided based on photographs of live individuals, allowing positive identification of 41 out of the 66 species reviewed in this publication. Then, for all 66 species we provide a brief description of important characters, which can be used for provisional identification for those species that could not be positively identified using the key. Pending further progress in identification of live individuals, we suggest that records extending the known geographic and ecological species distribution be taken into account only if they could be validated using the dichotomous identification key.
DOI: 10.5281/zenodo.18295138
title: Pharus mezii Prodoehl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295139
title: Pharus mezii Prodoehl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/dl.epdvq8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tipula persignata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019207-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.18295140
title: Pharus parvifolius Nash. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295141
title: Pharus parvifolius Nash. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.15468/dl.k434sb
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liriomyza chinensis"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019208-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yevdp
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((85.90511 33.06205,113.09489 33.06205,113.09489 43.93795,85.90511 43.93795,85.90511 33.06205))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rickettsia sibirica"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019209-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.ecodb.00277
title: A dataset of carbon and water fluxes of the desert ecosystem at Shapotou Station from 2017 to 2018
title: 2017-2018年沙坡头荒漠生态系统碳水通量观测数据集

description: This dataset includes the flux observation data of the desert ecosystem at the Ningxia Shapotou National Field Scientific Observation and Research Station for Desert Ecosystems from 2017 to 2018. The raw observation data were acquired by the eddy covariance system at the carbon flux observation field in the station. We processed the raw observation data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the annual data consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY). 
description: This dataset includes the flux observation data of the desert ecosystem at the Ningxia Shapotou National Field Scientific Observation and Research Station for Desert Ecosystems from 2017 to 2018. The raw observation data were acquired by the eddy covariance system at the carbon flux observation field in the station. We processed the raw observation data based on the ChinaFLUX data processing standards to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. In this dataset, the annual data consists of 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.15468/dl.f9gpxb
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus tereticornis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019210-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31083115
title: [Article Dataset] A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation

description: This dataset accompanies the submitted manuscript titled <i>“A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation.”</i> It comprises abiotic and biotic environmental predictors collected during a 10-day in situ manipulation experiment, alongside measurements of organic matter degradation rates.Rapid organic matter degradation assays with added microplastics, nitrogen, and a combined microplastics–nitrogen treatment were deployed for 10 days across a gradient of contrasting infaunal community traits. The experimental gradient was characterised by a progression in infaunal community composition, ranging from dominance by head-down deposit-feeding polychaetes, through mixed assemblages, to dominance by deep-dwelling facultative deposit-feeding bivalves.Environmental predictors measured include loss on ignition (LOI), mean grain size, chlorophyll <i>a</i> (chl <i>a</i>), and apparent redox potential discontinuity (aRPD). Sediment surface features were used to estimate <i>Macomona</i> bivalve density and maldanid polychaete density. For full experimental design details, sampling protocols, and analytical methods, please refer to the associated manuscript
DOI: 10.6084/m9.figshare.31083115.v1
title: [Article Dataset] A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation

description: This dataset accompanies the submitted manuscript titled <i>“A tale of two stressors: nitrogen, microplastics, and their influence on estuarine organic matter degradation.”</i> It comprises abiotic and biotic environmental predictors collected during a 10-day in situ manipulation experiment, alongside measurements of organic matter degradation rates.Rapid organic matter degradation assays with added microplastics, nitrogen, and a combined microplastics–nitrogen treatment were deployed for 10 days across a gradient of contrasting infaunal community traits. The experimental gradient was characterised by a progression in infaunal community composition, ranging from dominance by head-down deposit-feeding polychaetes, through mixed assemblages, to dominance by deep-dwelling facultative deposit-feeding bivalves.Environmental predictors measured include loss on ignition (LOI), mean grain size, chlorophyll <i>a</i> (chl <i>a</i>), and apparent redox potential discontinuity (aRPD). Sediment surface features were used to estimate <i>Macomona</i> bivalve density and maldanid polychaete density. For full experimental design details, sampling protocols, and analytical methods, please refer to the associated manuscript
DOI: 10.15468/dl.rh7m97
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tipula tsiosenica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019212-260108223611665/datasets/export for details.
DOI: 10.5281/zenodo.15979504
title: Dataset to figures from "Evolution of Large-scale Structures in the Energetic Neutral Atom Sky Maps in Energy and Solar Activity"

description: Dataset to images from the Sokół et al., "Evolution of Large-scale Structures in the Energetic Neutral Atom Sky Maps in Energy and Solar Activity", The Astrophysical Journal, 992:168 (20pp), 2025 October 20, https://doi.org/10.3847/1538-4357/adfa24 and https://zenodo.org/records/15979505
DOI: 10.5281/zenodo.18295115
title: Dataset to figures from "Evolution of Large-scale Structures in the Energetic Neutral Atom Sky Maps in Energy and Solar Activity"

description: Dataset to images from the Sokół et al., "Evolution of Large-scale Structures in the Energetic Neutral Atom Sky Maps in Energy and Solar Activity", The Astrophysical Journal, 992:168 (20pp), 2025 October 20, https://doi.org/10.3847/1538-4357/adfa24 and https://zenodo.org/records/15979505
DOI: 10.15468/dl.6jmunu
title: Occurrence Download

description: A dataset containing 4874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gliricidia sepium",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4874 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019213-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/e2dcz6
title: The millipede family Striariidae Bollman, 1893. IX. The identity of Striaria californica Cook, 1899, and the new genus Bayaria for Striaria nana Loomis, 1936, with a key to genera and an annotated checklist of the Striariidae (Diplopoda, Chordeumatida, Striarioidea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shear, William A., Marek, Paul E. (2024): The millipede family Striariidae Bollman, 1893. IX. The identity of Striaria californica Cook, 1899, and the new genus Bayaria for Striaria nana Loomis, 1936, with a key to genera and an annotated checklist of the Striariidae (Diplopoda, Chordeumatida, Striarioidea). Zootaxa 5463 (4): 524-544, DOI: 10.11646/zootaxa.5463.4.4, URL: http://dx.doi.org/10.11646/zootaxa.5463.4.4AbstractThe identity of Striaria californica Cook, described in 1899 from a single female, is established on the basis of additional specimens collected by Cook in 1929 and determined to be that species by Loomis (1936) as well as specimens from the San Francisco Bay region, likely to be from near the original collection locality. We propose Amplaria californica (Cook, 1899) new combination. A new genus, Bayaria Shear & Marek n. gen., is established for Striaria nana Loomis, 1936 Bayaria nana (Loomis, 1936) new combination. Striaria carmela Chamberlin, 1947, is a junior synonym of Bayaria nana. A key to the 16 genera of Striariidae and an annotated checklist of the 52 species are provided.
DOI: 10.5281/zenodo.18295156
title: Pharus parvifolius subsp. elongatus Judz. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.5281/zenodo.18295155
title: Pharus parvifolius subsp. elongatus Judz. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:52
DOI: 10.6084/m9.figshare.30855494
title: Replication Data for: Building Agricultural Resilience – VECM Analysis of Disaster Impact on China's Grain Yield (1978-2024)

description: Raw Excel file Grain_1978_2024_Update.xlsx : Annual data (1978–2024) compiled from the National Bureau of Statistics of China, including Grain Yield (GY), Affected Area (AA), Total Sown Area (AREA), Agricultural Fertilizer Application (FER), Irrigated Area (IA), and Total Power of Agricultural Machinery (TPAM).EViews 13 script ( VECM_GY_Update.prg ): Automates the full econometric workflow—Johansen cointegration test, VECM estimation, residual diagnostics, impulse response functions (IRF), and forecast error variance decomposition (FEVD).EViews workfile ( Grain_VECM_Update.wf1 ): Contains all series, log-transformed variables (lngy, lnaa, lnarea, lnfer, lnia, lntpam), estimated equations, fitted values, residuals, and IRF/FEVD outputs.Step-by-step README ( README_Update.pdf ): Detailed guide for reproducing Tables 1–2 and supplementary tables/figures of the associated paper.All files are required to reproduce the complete VECM analysis results presented in the manuscript.
DOI: 10.6084/m9.figshare.30855494.v1
title: Replication Data for: Building Agricultural Resilience – ARMA Estimation of Disaster Impact on China’s Grain Yield (1978-2024)

description: Raw Excel data (Grain_1978_2024.xlsx)EViews 13 script (arma_gy_dgy.prg) and workfile (Grain_ARMA.wf1)Step-by-step README (PDF) All files are required to reproduce Table 2 of the associated paper.