cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.p2vgha
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vasticardium angulatum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062661-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtxghe
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Ananteris cussinii"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062660-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.23567223
title: Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts

description: This dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 23-Jun-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. 
The dataset forms part of three outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023:
<br>
· Fostering cultures of open qualitative research: Dataset 1 – Survey Responses
· Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts
· Fostering cultures of open qualitative research: Dataset 3 – Coding Book
<br>
The project was funded with £13,913.85 of Research England monies held internally by the University of Sheffield - as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.
<br>
The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2021. This includes due concern for participant anonymity and data management. 
<br>
ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made form reuse. It has been deposited under a CC-BY-NC license. 
Overall, this dataset comprises: 
<br>
· 15 x Interview transcripts - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent. 
<br>
All participants have read and approved their transcripts and have had an opportunity to retract details should they wish to do so. 
<br>
Participants chose whether to be pseudonymised or named directly. The pseudonym can be used to identify individual participant responses in the qualitative coding held within the ‘Fostering cultures of open qualitative research: Dataset 3 – Coding Book’ files. 
<br>
For recruitment, 14 x participants we selected based on their responses to the project survey., whilst one participant was recruited based on specific expertise.   
<br>
· 1 x Participant sheet – in .csv format which may by opened with Microsoft Excel, Google Sheet, or an open-source equivalent. 
<br>
The provides socio-demographic detail on each participant alongside their main field of research and career stage. 
It includes a RespondentID field/column which can be used to connect interview participants with their responses to the survey questions in the accompanying ‘Fostering cultures of open qualitative research: Dataset 1 – Survey Responses’ files. 
<br>
The project was undertaken by two staff:
<br>
<em>Co-investigator:</em>
Dr. Itzel San Roman Pineda
ORCiD ID: 0000-0002-3785-8057
i.sanromanpineda@sheffield.ac.uk
Postdoctoral Research Assistant
Labelled as ‘Researcher 1’ throughout the dataset
<br>
<em>Principal Investigator (corresponding dataset author):</em>
Dr. Matthew Hanchard
ORCiD ID: 0000-0003-2460-8638
m.s.hanchard@sheffield.ac.uk
Research Associate
iHuman Institute, Social Research Institutes, Faculty of Social Science
Labelled as ‘Researcher 2’ throughout the dataset
DOI: 10.15131/shef.data.23567223.v2
title: Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts

description: This dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 23-Jun-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. 
The dataset forms part of three outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023:
<br>
· Fostering cultures of open qualitative research: Dataset 1 – Survey Responses
· Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts
· Fostering cultures of open qualitative research: Dataset 3 – Coding Book
<br>
The project was funded with £13,913.85 of Research England monies held internally by the University of Sheffield - as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.
<br>
The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2021. This includes due concern for participant anonymity and data management. 
<br>
ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made form reuse. It has been deposited under a CC-BY-NC license. 
Overall, this dataset comprises: 
<br>
· 15 x Interview transcripts - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent. 
<br>
All participants have read and approved their transcripts and have had an opportunity to retract details should they wish to do so. 
<br>
Participants chose whether to be pseudonymised or named directly. The pseudonym can be used to identify individual participant responses in the qualitative coding held within the ‘Fostering cultures of open qualitative research: Dataset 3 – Coding Book’ files. 
<br>
For recruitment, 14 x participants we selected based on their responses to the project survey., whilst one participant was recruited based on specific expertise.   
<br>
· 1 x Participant sheet – in .csv format which may by opened with Microsoft Excel, Google Sheet, or an open-source equivalent. 
<br>
The provides socio-demographic detail on each participant alongside their main field of research and career stage. 
It includes a RespondentID field/column which can be used to connect interview participants with their responses to the survey questions in the accompanying ‘Fostering cultures of open qualitative research: Dataset 1 – Survey Responses’ files. 
<br>
The project was undertaken by two staff:
<br>
<em>Co-investigator:</em>
Dr. Itzel San Roman Pineda
ORCiD ID: 0000-0002-3785-8057
i.sanromanpineda@sheffield.ac.uk
Postdoctoral Research Assistant
Labelled as ‘Researcher 1’ throughout the dataset
<br>
<em>Principal Investigator (corresponding dataset author):</em>
Dr. Matthew Hanchard
ORCiD ID: 0000-0003-2460-8638
m.s.hanchard@sheffield.ac.uk
Research Associate
iHuman Institute, Social Research Institutes, Faculty of Social Science
Labelled as ‘Researcher 2’ throughout the dataset
DOI: 10.15131/shef.data.23567223.v1
title: Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts

description: This dataset was created and deposited onto the University of Sheffield Online Research Data repository (ORDA) on 23-Jun-2023 by Dr. Matthew S. Hanchard, Research Associate at the University of Sheffield iHuman Institute. 
The dataset forms part of three outputs from a project titled ‘Fostering cultures of open qualitative research’ which ran from January 2023 to June 2023:
<br>
· Fostering cultures of open qualitative research: Dataset 1 – Survey Responses
· Fostering cultures of open qualitative research: Dataset 2 – Interview Transcripts
· Fostering cultures of open qualitative research: Dataset 3 – Coding Book
<br>
The project was funded with £13,913.85 of Research England monies held internally by the University of Sheffield - as part of their ‘Enhancing Research Cultures’ scheme 2022-2023.
<br>
The dataset aligns with ethical approval granted by the University of Sheffield School of Sociological Studies Research Ethics Committee (ref: 051118) on 23-Jan-2021. This includes due concern for participant anonymity and data management. 
<br>
ORDA has full permission to store this dataset and to make it open access for public re-use on the basis that no commercial gain will be made form reuse. It has been deposited under a CC-BY-NC license. 
Overall, this dataset comprises: 
<br>
· 15 x Interview transcripts - in .docx file format which can be opened with Microsoft Word, Google Doc, or an open-source equivalent. 
<br>
All participants have read and approved their transcripts and have had an opportunity to retract details should they wish to do so. 
<br>
Participants chose whether to be pseudonymised or named directly. The pseudonym can be used to identify individual participant responses in the qualitative coding held within the ‘Fostering cultures of open qualitative research: Dataset 3 – Coding Book’ files. 
<br>
For recruitment, 14 x participants we selected based on their responses to the project survey., whilst one participant was recruited based on specific expertise.   
<br>
· 1 x Participant sheet – in .csv format which may by opened with Microsoft Excel, Google Sheet, or an open-source equivalent. 
<br>
The provides socio-demographic detail on each participant alongside their main field of research and career stage. 
It includes a RespondentID field/column which can be used to connect interview participants with their responses to the survey questions in the accompanying ‘Fostering cultures of open qualitative research: Dataset 1 – Survey Responses’ files. 
<br>
The project was undertaken by two staff:
<br>
<em>Co-investigator:</em>
Dr. Itzel San Roman Pineda
ORCiD ID: 0000-0002-3785-8057
i.sanromanpineda@sheffield.ac.uk
Postdoctoral Research Assistant
Labelled as ‘Researcher 1’ throughout the dataset
<br>
<em>Principal Investigator (corresponding dataset author):</em>
Dr. Matthew Hanchard
ORCiD ID: 0000-0003-2460-8638
m.s.hanchard@sheffield.ac.uk
Research Associate
iHuman Institute, Social Research Institutes, Faculty of Social Science
Labelled as ‘Researcher 2’ throughout the dataset
DOI: 10.15468/dl.pfz9vs
title: Occurrence Download

description: A dataset containing 6715519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.57826 6.99013,-72.3954 6.99013,-72.3954 11.23143,-76.57826 11.23143,-76.57826 6.99013))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6715519 records from 988 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062611-250920141307145/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.30311563
title: Extracted Data and Analysis Code for Network Meta-Analysis on Sedation Success and Safety Outcomes of Combination Regimens in Pediatric MRI

description: This database was used to conduct the following study:Sedation Success and Safety Outcomes of Combination Regimens in Pediatric MRI: A Network Meta-analysis of Randomized Clinical Trials
DOI: 10.6084/m9.figshare.30311563.v1
title: Extracted Data and Analysis Code for Network Meta-Analysis on Sedation Success and Safety Outcomes of Combination Regimens in Pediatric MRI

description: This database was used to conduct the following study:Sedation Success and Safety Outcomes of Combination Regimens in Pediatric MRI: A Network Meta-analysis of Randomized Clinical Trials
DOI: 10.48331/scielodata.00bsqw/d4exmu
title: A entrevista em profundida e as narrativas.pdf
DOI: 10.15468/dl.wvghp2
title: Occurrence Download

description: A dataset containing 1313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ralstonia solanacearum"
 ]
}

 The dataset includes 1313 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062665-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7gm7e
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres cinereus",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062668-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjpcr9
title: Occurrence Download

description: A dataset containing 895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelecaniformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -30,90 -30,90 0,60 0,60 -30))"
 ]
}

 The dataset includes 895 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062667-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y72mq
title: Occurrence Download

description: A dataset containing 1426611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is one of (VectorBase (Bioinformatics Resource for Invertebrate Vectors of Human Pathogens), iNaturalist Research-grade Observations)",
 "Issue is Geodetic datum assumed WGS84",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 1426611 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062647-250920141307145/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.28001726
title: Data and R code for the manuscript:Oli et al. (2025) Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada. To be published in Journal of Animal Ecology.

description: The ZIP file contains the following files:1_hare_CMR_data_20251008_FINAL: Capture-mark-recapture data file that contains all information needed to fit multi-state capture-mark-recapture models.2_hare_CMR_code_20251008_FINAL.R: This script file reads the data files, and fits multi-state capture-mark-recapture models.3_hare_all_vital_rates_20251008_FINAL.rda: State-specific vital rates data that are needed to perform matrix model analyses.4_sensitivity and elasticity results_20251008_FINAL.csv: A CSV data file containing data on point estimates of state-specific vital rates, and sensitivity and elasticity of population growth rate to lower-level vital rates for each season and phase of the cycle.5_hare_MM_code_20251008_FINAL.R: R script to read vital rate data, and perform matrix model analyses.6_hare_MM_analysis_functions_20251008_FINAL.R: A R file containing functions sourced by 5_hare_MM_code_20251008_FINAL.R to perform standard matrix model analyses, and lower-level LTRE analyses.<br><br>
DOI: 10.6084/m9.figshare.28001726.v2
title: <b>Oli, M. K., Kenney, A. J., Boonstra, R., Boutin, S., Murray, D. L., Jung, T. S., Hines, J. E., and Charles J. Krebs, C. J. (2025). Data from: </b>Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada. Figshare Repository. DOI: 10.6084/m9.figshare.28001726.To be published in Journal of Animal Ecology.

description: The ZIP file contains the following files:1_hare_CMR_data_20251008_FINAL: Capture-mark-recapture data file that contains all information needed to fit multi-state capture-mark-recapture models.2_hare_CMR_code_20251008_FINAL.R: This script file reads the data files, and fits multi-state capture-mark-recapture models.3_hare_all_vital_rates_20251008_FINAL.rda: State-specific vital rates data that are needed to perform matrix model analyses.4_sensitivity and elasticity results_20251008_FINAL.csv: A CSV data file containing data on point estimates of state-specific vital rates, and sensitivity and elasticity of population growth rate to lower-level vital rates for each season and phase of the cycle.5_hare_MM_code_20251008_FINAL.R: R script to read vital rate data, and perform matrix model analyses.6_hare_MM_analysis_functions_20251008_FINAL.R: A R file containing functions sourced by 5_hare_MM_code_20251008_FINAL.R to perform standard matrix model analyses, and lower-level LTRE analyses.<br><br>
DOI: 10.6084/m9.figshare.28001726.v3
title: Data and R code for the manuscript:Oli et al. (2025) Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada. To be published in Journal of Animal Ecology.

description: The ZIP file contains the following files:1_hare_CMR_data_20251008_FINAL: Capture-mark-recapture data file that contains all information needed to fit multi-state capture-mark-recapture models.2_hare_CMR_code_20251008_FINAL.R: This script file reads the data files, and fits multi-state capture-mark-recapture models.3_hare_all_vital_rates_20251008_FINAL.rda: State-specific vital rates data that are needed to perform matrix model analyses.4_sensitivity and elasticity results_20251008_FINAL.csv: A CSV data file containing data on point estimates of state-specific vital rates, and sensitivity and elasticity of population growth rate to lower-level vital rates for each season and phase of the cycle.5_hare_MM_code_20251008_FINAL.R: R script to read vital rate data, and perform matrix model analyses.6_hare_MM_analysis_functions_20251008_FINAL.R: A R file containing functions sourced by 5_hare_MM_code_20251008_FINAL.R to perform standard matrix model analyses, and lower-level LTRE analyses.<br><br>
DOI: 10.15468/dl.5txpu9
title: Occurrence Download

description: A dataset containing 80043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 80043 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062638-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82144/87adde1e
title: Happywhale - Pygmy killer whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/dl.bszhrx
title: Occurrence Download

description: A dataset containing 402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Maldives",
 "Year is 2010",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 402 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062669-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/ec32-hk55
title: SenseFuture Dataset: Novel Agronomy for Resilient Farming Systems

description: Data acquired in Australia through the EU Horizon2020 MSCA-Global fellowship by Dr Eusun Han, project number 884364.

Funding: EU Horizon 2020, MSCA-IF (SenseFuture: 884364)

High-resolution RGB, multispectral, and thermal drone imagery from the Iandra field site (2021–2023), supporting crop monitoring, grazing trials, and digital agronomy research.

FULL DESCRIPTION

This dataset contains raw and processed UAV imagery collected at the CSIRO Iandra field site (Greenethorpe, NSW) as part of the SenseFuture: Novel Agronomy for Resilient Farming Systems project. The imagery captures crop and pasture responses to experimental treatments (including grazing, mowing, and plot management) over multiple growing seasons.

The Iandra field site, located at Iandra Castle near Greenethorpe, NSW, is a key CSIRO farming systems research site. It hosts long-term experiments evaluating crop sequences, soil health, and water use efficiency under varying management practices. Trials include wheat–canola rotations and integration of legumes such as fababean to improve nitrogen fixation and sustainability. The site combines small-plot trials with farm-scale demonstrations and provides critical data on productivity, soil fertility, and system resilience in southern NSW.

The dataset includes flights taken with different sensor configurations:

RGB imagery collected using a DJI Phantom 4 Pro at ~30 m altitude, providing high-resolution (centimetre scale) orthomosaics.
Multispectral imagery from a Micasense camera, used to generate reflectance-calibrated bands and vegetation indices (e.g. NDVI, NDRE).
Thermal imagery from DJI M2EA test flights, used to explore canopy temperature variation.

TEMPORAL COVERAGE

June–September 2021 (pre-grazing, post-grazing, mowing, and multiple growth stages)
July–September 2022 (RGB and thermal test flights)
2023 imagery [details to confirm]

SPATIAL COVERAGE

Iandra research trial, near Greenethorpe, NSW, Australia
Approx. 34°31′21.698″ S, 148°18′6.484″ E (WGS84)
Experimental plots within grazing and cropping trials.

FILE CONTENTS

The collection contains:
Raw project files (.p4d) for Pix4DMapper workflows
Processed reports (.pdf) describing Pix4D processing outputs and quality checks
Stitched datasets (.zip archives, 15–70 GB each) containing orthomosaics, reflectance maps, and metadata
Ancillary GIS outputs for integration into QGIS and other geospatial software

See files for more information.
DOI: 10.15468/dl.bpeqvs
title: Occurrence Download

description: A dataset containing 91065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelecaniformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 -30,120 -30,120 0,90 0,90 -30))"
 ]
}

 The dataset includes 91065 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062617-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3qy67
title: Occurrence Download

description: A dataset containing 127417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Falconiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 0,90 0,90 30,60 30,60 0))"
 ]
}

 The dataset includes 127417 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062636-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.