cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6wdgg6
title: Occurrence Download

description: A dataset containing 17627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Artemisia annua L.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17627 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015889-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxymhk
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is Cameroon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015890-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8bf43
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015891-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3gdqu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015892-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276216
title: Decoding the Global Contributor: A Study of Cultural Drivers in Technical Q&A Communities – Replication Package

description: This dataset supports the study “Decoding the Global Contributor: A Study of Cultural Drivers in Technical Q&A Communities”. It explores why software practitioners contribute to Stack Overflow, comparing motivations across the United States, China, and Russia. Using a mixed-methods approach, we analysed 600 “About Me” profiles and linguistic data from 268,215 contributors. Seventeen motivational categories were identified, including advertising, altruism, and learning. Results show cultural differences: American users favour self-promotion, Chinese users emphasise learning, and Russian users display mixed tendencies. Correlation analysis revealed that detailed self-profiles align with advertising and social engagement, while learning-oriented users provide minimal self-presentation. The dataset offers a replication package for further study of cultural variation in knowledge-sharing communities.
DOI: 10.5281/zenodo.18276217
title: Decoding the Global Contributor: A Study of Cultural Drivers in Technical Q&A Communities – Replication Package

description: This dataset supports the study “Decoding the Global Contributor: A Study of Cultural Drivers in Technical Q&A Communities”. It explores why software practitioners contribute to Stack Overflow, comparing motivations across the United States, China, and Russia. Using a mixed-methods approach, we analysed 600 “About Me” profiles and linguistic data from 268,215 contributors. Seventeen motivational categories were identified, including advertising, altruism, and learning. Results show cultural differences: American users favour self-promotion, Chinese users emphasise learning, and Russian users display mixed tendencies. Correlation analysis revealed that detailed self-profiles align with advertising and social engagement, while learning-oriented users provide minimal self-presentation. The dataset offers a replication package for further study of cultural variation in knowledge-sharing communities.
DOI: 10.15468/dl.pbzx4u
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is French Guiana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015894-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/5f08a799134bb829c1ca35ac8266965b
title: Fowling Point Marsh Flux Tower Data, 2014-2017

description: A flux tower was operated on Fowling Point Marsh near Nassawadox, VA from 2014-2017. The flux tower is located about 2 km from the mainland and about 85 m away from a major creek edge. The marsh soil is tidally inundated on a semi-diurnal cycle, with extreme levels of inundation reaching 1.0 m above the mean marsh surface. Continuous meteorological and eddy covariance measurements were made on a 7-m flux tower located in the salt marsh. An eddy covariance unit was mounted at 3.7 m above the sediment surface. 
 Data for BioMet sensors are provided as a table. BioMET data consists of 1min averaged meteorological data. 
 Proprietary LiCOR .ghg files at 20Hz are included in Tape ARchive (TAR) files. Individual GHG files can be renamed as .zip files and uncompressed to reveal an internal metadata file and the data itself.
 A PDF file identifies the instrumentation and the wiring used to connect them.
DOI: 10.15468/dl.wv28fx
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is French Polynesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015896-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdd25h
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is New Caledonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015895-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4z7wz9
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Camellia furfuracea, Camellia crapnelliana, Camellia gaudichaudii, Camellia latipetiolata, Camellia pubifurfuracea)"
 ]
}

 The dataset includes 422 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015897-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276164
title: Eugenia mansoi O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276165
title: Eugenia mansoi O.Berg. 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 16:46
DOI: 10.15468/dl.y9a8wg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015898-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzmeb4
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is Puerto Rico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 185 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015899-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mc29d
title: Occurrence Download

description: A dataset containing 790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 790 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015900-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276237
title: Eugenia nana O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276238
title: Eugenia nana O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276243
title: Eugenia opaca O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276244
title: Eugenia opaca O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276245
title: Eugenia pallida O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276246
title: Eugenia pallida O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276247
title: Eugenia myrcianthes Nied. 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 16:46
DOI: 10.5281/zenodo.18276248
title: Eugenia myrcianthes Nied. 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 16:46
DOI: 10.15468/dl.8ymtdm
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnatherum inebrians",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 328 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015901-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276257
title: Eugenia pitanga (O.Berg) Kiaersk. 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 16:46
DOI: 10.5281/zenodo.18276258
title: Eugenia pitanga (O.Berg) Kiaersk. 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 16:46
DOI: 10.6084/m9.figshare.31047550
title: Markov chain analysis

description: The results supporting the analysis
DOI: 10.6084/m9.figshare.31047550.v1
title: Markov chain analysis

description: The results supporting the analysis
DOI: 10.15468/dl.eqcyt5
title: Occurrence Download

description: A dataset containing 116963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scythrops novaehollandiae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 116963 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015878-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276259
title: Eugenia pungens O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276260
title: Eugenia pungens O.Berg. 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 16:46
DOI: 10.5281/zenodo.18276263
title: Eugenia pyriformis Cambess. 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 16:46
DOI: 10.5281/zenodo.18276264
title: Eugenia pyriformis Cambess. 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 16:46
DOI: 10.15468/dl.vmjsyp
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agasicles hygrophila",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 106 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015902-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276266
title: Eugenia pyriformis f. ponhi D.Legrand. 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 16:46
DOI: 10.5281/zenodo.18276267
title: Eugenia pyriformis f. ponhi D.Legrand. 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 16:46
DOI: 10.5281/zenodo.18276268
title: Eugenia pyriformis var. uvalha (Cambess.) D.Legrand. 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 16:46
DOI: 10.5281/zenodo.18276269
title: Eugenia pyriformis var. uvalha (Cambess.) D.Legrand. 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 16:46
DOI: 10.5281/zenodo.15014518
title: Digital Media Usage of Homeless People in Berlin 2022

description: We report findings from a multilingual, interviewer-assisted survey (n=141) conducted across five homelessness day centres in March-April 2022. The survey constituted one part of a broader mixed methods research project on homelessness and digital media usage in Berlin. Any user of these day centres who had fallen into FEANTSA ETHOS categories 1-8 and 11-12 (FEANTSA, 2017a) for at least one night in the last 12 months was eligible for participation. The survey instrument, co-developed with unhoused collaborators and informed by ethnographic fieldwork, adapts established constructs from digital divide research for the context of homelessness, draws on previous research on the intersection of homelessness and digital media, and adds items specific to the Berlin/Germany context.
DOI: 10.5281/zenodo.17575253
title: Digital Media Usage of Homeless People in Berlin 2022

description: We report findings from a multilingual, interviewer-assisted survey (n=141) conducted across five homelessness day centres in March-April 2022. The survey constituted one part of a broader mixed methods research project on homelessness and digital media usage in Berlin. Any user of these day centres who had fallen into FEANTSA ETHOS categories 1-8 and 11-12 (FEANTSA, 2017a) for at least one night in the last 12 months was eligible for participation. The survey instrument, co-developed with unhoused collaborators and informed by ethnographic fieldwork, adapts established constructs from digital divide research for the context of homelessness, draws on previous research on the intersection of homelessness and digital media, and adds items specific to the Berlin/Germany context.
DOI: 10.5281/zenodo.18264331
title: Quantification of dust deposition in weak turbulent conditions

description: This Zenodo record provides the data and analysis scripts supporting the manuscript “(Non-monotonic response of dust deposition kinetics to low wind speeds)”.Files: (1) 相关数据.xlsx: processed data used to generate the figures/tables; (2) fit_on_means_weighted.R: R script for kinetic fitting and figure reproduction.How to run: open the R script and run sections in order; required packages are listed at the top of the script.Contact: (Jia Ruochen, jiaruochen20@mails.ucas.ac.cn).
DOI: 10.5281/zenodo.18264330
title: Quantification of dust deposition in weak turbulent conditions

description: This Zenodo record provides the data and analysis scripts supporting the manuscript “(Non-monotonic response of dust deposition kinetics to low wind speeds)”.Files: (1) 相关数据.xlsx: processed data used to generate the figures/tables; (2) fit_on_means_weighted.R: R script for kinetic fitting and figure reproduction.How to run: open the R script and run sections in order; required packages are listed at the top of the script.Contact: (Jia Ruochen, jiaruochen20@mails.ucas.ac.cn).
DOI: 10.15468/dl.auyuz8
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anaplasma platys",
 "Year 2015-2020"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015903-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wacjvh
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrilus mali",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015904-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18276200
title: SuperDARN data in netCDF format (1996-Jun)

description: 1996-Jun 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.6809292
title: SuperDARN data in netCDF format (1996-Jun)

description: 1996-Jun 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.'