cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/gqpcxz
title: Solar Energetic Particle Events Including ∼ 25 MeV Protons Observed at STEREO and/or Earth since 2006

description: This file lists the solar energetic particle events that include ∼ 25 MeV protons detected at STEREO A/B or at the Earth since the beginning of the STEREO mission in October 2006, based predominantly on examination of ∼ 1 hour-averaged observations from the HET instruments on the STEREO spacecraft and from the ERNE and COSTEP instruments on SOHO. This is an updated and expanded version of the catalog in “&gt; 25 MeV Proton Events Observed by the High Energy Telescopes on the STEREO A and B Spacecraft and/or at the Earth During the First ∼Seven Years of the STEREO Mission” by I. G. Richardson, T. T. von Rosenvinge, H. V. Cane, E. R. Christian, C. M. S. Cohen, A. W. Labrador, R. A. Leske, R. A. Mewaldt, M. E. Wiedenbeck,
and E. C. Stone, Solar Physics, 289:3059–3107; DOI 10.1007/s11207-014-0524-8, 2014.
description: Contact was lost with STEREO B in October, 2014. There are also STEREO A data gaps when the spacecraft was in opposition to Earth on the far side of the Sun in 2015.

Column 1: The date: hour (UT) of the related solar event. 
Column 2: The date: hour of SEP onset at the spacecraft that first observes the event. Column 3: The solar event (“flare”) longitude (deg.) with respect to STEREO B. 
Column 4: Peak ~25 MeV proton intensity at STEREO B. 
Column 5: The solar event (“flare”) longitude (deg.) with respect to Earth.. 
Column 6: Peak ~25 MeV proton intensity at Earth. 
Column 7: The solar event (“flare”) longitude (deg.) with respect to STEREO A. 
Column 8: Peak ~25 MeV proton intensity at STEREO A. 
Note: “D” in columns 3, 5, 7 indicates a location inferred from the CME propagation direction in the DONKI database (https://kauai.ccmc.gsfc.nasa.gov/DONKI/). 
Note: In columns 4, 6, 8, the peak intensity is generally during the first few (∼ 12) hours of the event, in (MeV s cm^2 sr)^−1. “BG” indicates elevated background from an ongoing event. “...” indicates that the event was not detected above ∼ 10^−4 (MeV s cm^2 sr)^−1, close to the instrument thresholds.
Column 9: GOES X-ray flare size for frontside or just behind the limb events. ’S’ is an estimate from the Solar Orbiter STIX flare list. 
Column 10: 1= type III burst observed by the Wind/WAVES and/or STEREO/SWAVES instruments.
Column 11: 1=type II burst was observed by WAVES/SWAVES (from the lists at
https://solar-radio.gsfc.nasa.gov/wind/data products.html and https://cdaw.gsfc.nasa.gov/CME list/radio/waves type2.html). 2= type II emissions extended below 1 MHz (“interplanetary” type II event). 
Column 12: Angular width (deg.) of the associated CME from the CUA/GSFC CDAW SOHO LASCO catalog (http://cdaw.gsfc.nasa.gov/CME list/) if available. “A” or “B” indicates values from the STEREO A or B CACTUS catalog (http://sidc.oma.be/cactus/). COR1A/B indicates that a CME was observed only by the STEREO A/B COR1 coronagraph. 
Column 13: Speed (km/s) of the associated CME.
DOI: 10.15468/dl.yf2sj7
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Eurotiales",
 "HasCoordinate is true"
 ]
}

 The dataset includes 924 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015214-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18302126
title: Data from: Detected shifts towards drought-adaptive strategies in the Amazon Forest over the last four decades

description: This dataset contains plot- and miniplot-level remote sensing and climate time series for Amazon and Nova Xavantina (Brazil) forest sites used in Barbosa et al. (2026), Detected shifts towards drought-adaptive strategies in the Amazon forest over the last four decades, Global Change Biology.

We provide:





Raw Landsat spectral bands and vegetation indices at Amazon plots for the Landsat archive period used in the study (see README; broadly covering 1984–2022) (raw_landsat_amazon.csv).




Raw Sentinel-2 spectral bands and vegetation indices at Amazon and Nova Xavantina plots for the Sentinel-2 period used in the study (2019–2022) (raw_sentinel2_amazon.csv, raw_sentinel2_nova_xavant.csv).




Monthly TerraClimate climate and water-balance variables at Amazon plots for the years used in the analyses (raw_terraclimate_amazon.csv).




ECOSTRESS evaporative stress metrics at Amazon plots for the period used in the analyses (raw_ecostress_amazon.csv).




Combined Landsat (seasonal coefficients of variation, CV%) for 1984–2022 + TerraClimate (seasonal means) + specific leaf area (SLA) for Amazon plots (landsat_cv_terraclimate_sla_amazon.csv).




Combined Sentinel-2 (monthly CV%) for 2019 + ECOSTRESS (monthly means) + SLA for Amazon plots (sentinel2_cv_ecostress_sla_amazon.csv).




Combined Sentinel-2 (monthly CV%) for 2019–2022 + SLA for Nova Xavantina miniplots (sentinel2_cv_sla_nova_xavant.csv).



All tables include polygon or plot identifiers that can be joined to field and trait data, and correspond to time series derived via Google Earth Engine workflows. The full GEE and R processing code is archived in the companion code repository (Barbosa 2026, Zenodo DOI: 10.5281/zenodo.18268845) and described in the manuscript.
DOI: 10.5281/zenodo.18300311
title: Data from: Detected shifts towards drought-adaptive strategies in the Amazon Forest over the last four decades

description: This dataset contains plot- and miniplot-level remote sensing and climate time series for Amazon and Nova Xavantina (Brazil) forest sites used in Barbosa et al. (2026), Detected shifts towards drought-adaptive strategies in the Amazon forest over the last four decades, Global Change Biology.

We provide:





Raw Landsat spectral bands and vegetation indices at Amazon plots for the Landsat archive period used in the study (see README; broadly covering 1984–2022) (raw_landsat_amazon.csv).




Raw Sentinel-2 spectral bands and vegetation indices at Amazon and Nova Xavantina plots for the Sentinel-2 period used in the study (2019–2022) (raw_sentinel2_amazon.csv, raw_sentinel2_nova_xavant.csv).




Monthly TerraClimate climate and water-balance variables at Amazon plots for the years used in the analyses (raw_terraclimate_amazon.csv).




ECOSTRESS evaporative stress metrics at Amazon plots for the period used in the analyses (raw_ecostress_amazon.csv).




Combined Landsat (seasonal coefficients of variation, CV%) for 1984–2022 + TerraClimate (seasonal means) + specific leaf area (SLA) for Amazon plots (landsat_cv_terraclimate_sla_amazon.csv).




Combined Sentinel-2 (monthly CV%) for 2019 + ECOSTRESS (monthly means) + SLA for Amazon plots (sentinel2_cv_ecostress_sla_amazon.csv).




Combined Sentinel-2 (monthly CV%) for 2019–2022 + SLA for Nova Xavantina miniplots (sentinel2_cv_sla_nova_xavant.csv).



All tables include polygon or plot identifiers that can be joined to field and trait data, and correspond to time series derived via Google Earth Engine workflows. The full GEE and R processing code is archived in the companion code repository (Barbosa 2026, Zenodo DOI: 10.5281/zenodo.18268845) and described in the manuscript.
DOI: 10.15468/dl.4d96yu
title: Occurrence Download

description: A dataset containing 336999000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ClassKey is one of (Aves)",
 "Continent is Europe",
 "Year is one of (2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "HasCoordinate is true",
 "TaxonomicStatus is Accepted"
 ]
}

 The dataset includes 336999000 records from 9936 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020767-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/3nrg-zc86
title: "Efficient_Method_for_DOA_Estimation_in_Vector_Conformal_Arrays__Tensor_Train_Decomposition_and_Coupled_Tensor_Decomposition"

description: "1"
DOI: 10.15468/dl.w289ue
title: Occurrence Download

description: A dataset containing 849 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dioon edule Lindl."
 ]
}

 The dataset includes 849 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012556-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/mrpmtm
title: Replication Data for: Simple hybrid sea ice nudging method for improving control over partitioning of sea ice concentration and thickness

description: Replication Data for: Simple hybrid sea ice nudging method for improving control over partitioning of sea ice concentration and thickness
DOI: 10.5683/sp3/wuxl5f
title: Using expert knowledge and experience to parameterize a simulation model of AMR emergence and transmission in a Swedish food system context: Framework Matrices

description: This database contains framework matrices to describe and organize data from a content analysis which aimed to compile quantifiable data from statements made by a group of experts to help parameterize a simulation model of antimicrobial resistance (AMR) emergence and transmission in a Swedish food system context.
DOI: 10.5683/sp3/5lxhvm
title: V14 OBJ

description: 0.87m resolution V14 OLA model of 101955 Bennu
DOI: 10.5683/sp3/woblio
title: Corrélats neurofonctionnels des habiletés lexico-sémantiques selon le décours et les expériences de vie//Neurofunctional correlates of lexico-semantic abilities according to development and life experiences

description: This dataset contains the anonymized raw behavioral data in excel format for young and older adults. A readme file is added in .doc format. README file will provide a project summary and the description of various column headers.
description: Please contact Prof. Yves Joanette for access to the MRI data.
DOI: 10.5683/sp3/dwxhg9
title: Replication Data and Code for: Correcting for Transitory Effects in RCTs: Evidence from the RAND Health Insurance Experiment

description: The data and programs replicate tables and figures from "Correcting for Transitory Effects in RCTs: Evidence from the RAND Health Insurance Experiment", by Balesh Abadi, Devereux, and Omran. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/gefgvg
title: PACES_ESTRIE

description: Le PACES Estrie a pour objectif général de faire le portrait des ressources régionales en eau souterraine de l'Estrie. Le projet a aussi des objectifs spécifiques : 1) accompagner les municipalités de l’Estrie pour la protection de leurs prélèvements d’eau potable, 2) aborder des problématiques régionales d’intérêt particulier pour l’Estrie, notamment le potentiel des aquifères granulaires et la présence d’arsenic et de manganèse affectant la potabilité de l’eau, et 3) assurer le transfert des connaissances aux partenaires régionaux pendant la réalisation du projet.
DOI: 10.5683/sp3/z2ijte
title: A One Health and fuzzy cognitive map-based approach to assess interventions to reduce antimicrobial resistance in a Swedish food system context under potential climate change conditions: Decision matrix and Scenario results

description: This file contains a decision matrix used to combine data from a scoping review and statements made by experts during a participatory modelling workshop to inform a fuzzy cognitive map (FCM) of antimicrobial resistance (AMR) emergence and transmission in a Swedish food system context. It also contains the results from the scenario analysis done in FCM Expert.
description: FCM Expert
DOI: 10.5683/sp3/wvq4qh
title: Replication Data and Code for: Commercial-to-residential land-use conversion and residential recentralization in large cities

description: The data and programs replicate tables and figures from "Commercial-to-residential land-use conversion and residential recentralization in large cities", by Xu. Please see the ReadMe file for additional details.
DOI: 10.5683/sp3/kadxf2
title: Merrickville Blockhouse National Historic Site

description: This is a dataset of information compiled for a PhD researcher by Alice Agus in collaboration with the Carleton Immersive Media Studio (CIMS). It can be also used for Courses CIVE3207 (ARCN4100), CIVE4601 (ARCN4200), CIVE 5603 Course on Advanced Building Characterization, Conservation and Rehabilitation, or any other for students of the Architectural Conservation and Sustainability Program (Engineers and architects) at Carleton University. Students of the Architectural Conservation and Sustainability Program (Engineers and architects) at Carleton University will use these data to produce a Heritage Recording Dossier of this important Site. This material can not be used for commercial purposes or use in any form without the permission of Dr. Mario Santana, the authors, and site custodians.
DOI: 10.5683/sp3/xddmmr
title: Sondage panel sur l'élection québécoise de 2018

description: Cette soumission contient les données d'un sondage panel réalisé par la firme IPSOS lors de l'élection québécoise de 2018 (en versions SPSS) et le livre de codes.
DOI: 10.5683/sp3/1gbgmy
title: Replication Data for: A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian High-Arctic ground-based NDACC and TCCON FTIR measurements

description: This is a partial dataset used for the paper "A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian High-Arctic ground-based NDACC and TCCON FTIR measurements" by Jalali et al. (2022); the official TCCON data release can be found at https://tccondata.org. This dataset is provided as a source for this paper and does not have the full standard TCCON quality control applied. The standard TCCON release on tccondata.org may have updated values and/or some lower quality data removed.

Column-averaged Dry-Mole Fractions of CO reported in this file were acquired using the Bruker 125HR Fourier Transform Spectrometer at the Polar Environment Atmospheric Research Laboratory (PEARL). PEARL is located at Eureka, Nunavut, Canada (80.05 deg N, 86.42 deg W, 610 m above sea level) and is operated by the Canadian Network for the Detection of Atmospheric Change (CANDAC). CANDAC and PEARL have been funded by ARIF, AIF/NSRIT, CFCAS, CFI, CSA, ECCC, GOC-IPY, NSERC, OIT, ORF, INAC, PCSP, Dalhousie University, and the University of Toronto.

More information about the TCCON network and TCCON data products can be found on the TCCON wiki: https://tccon-wiki.caltech.edu
DOI: 10.15468/dl.atc9xr
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrobium albosanguineum"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046604-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/ibbdtf
title: The measurement of mean wind, variances and covariances from an instrumented mobile car in a rural environment

description: These data are in support of the submission to Atmospheric Measurement Techniques journal.
DOI: 10.5683/sp3/uqbegz
title: NTP Tornado Warning Performance Assessment Data (2019-2021)

description: These are the tornado data and tornado alerts that were used for NTP's 2022 Preliminary Tornado Warning Performance Assessment covering the years 2019 to 2021.
DOI: 10.5683/sp3/750kiv
title: AFFECTIVE WORD PRIMING IN THE LEFT AND RIGHT VISUAL FIELDS IN YOUNG AND OLDER INDIVIDUALS

description: This dataset contains the anonymized raw behavioral data in excel format for young and older adults. A readme file is added in .doc format. README_EA file will provide a project summary and the description of various column headers.
DOI: 10.5683/sp3/i842fd
title: IJRUME-SI Calculus - Hitier & González-Martín - Material A

description: IJRUME-SI Calculus - Hitier & González-Martín - Material A
DOI: 10.5683/sp3/rpxxpp
title: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material B

description: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material B
DOI: 10.5683/sp3/ucamg4
title: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material D

description: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material D
DOI: 10.5683/sp3/oj1ztb
title: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material C

description: IJRUME-SI Calculus - Hitier & González-Martín (2022) - Material C
DOI: 10.5683/sp3/fs9mlq
title: Health information-seeking and behaviour among post-secondary students during the COVID-19 pandemic

description: &lt;p&gt;&lt;i&gt;Introduction/background:&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;The COVID-19 pandemic continues to have a significant global impact on the health and wellness of the population. Limited published literature exists on the information-seeking behaviour during the pandemic, of young adults, who were at start of the pandemic thought to be less susceptible to COVID-19. This study sought to bridge this gap by administering a survey among postsecondary students in Alberta. The study examined health-related information needs, preferred information sources, and behavioural efforts to prevent COVID-19 and maintain a healthy lifestyle during the pandemic.&lt;/p&gt;

&lt;p&gt;&lt;i&gt;Methods:&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;A cross-sectional study was conducted in Alberta among postsecondary students in March 2021. Using convenience sampling a link to a pre-validated questionnaire was posted on Alberta based post-secondary institutions online social media platforms (Facebook, LinkedIn).&lt;/p&gt;

&lt;p&gt;&lt;i&gt;Results and analysis:&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;A total 573 postsecondary students completed the survey. For COVID-19 related information students relied on instant messaging applications such as WhatsApp (52%) and print media (52%). Information on COVID-19 vaccine availability and safety and the changes in by-laws was reported to be vital by 70% of respondents. The preferred COVID-19 information source (60%) was the internet, namely official health websites (e.g., Alberta Health Services). Challenges to accessing COVID-19 information were too many conspiracy theories about COVID-19 (60%) and contradicting information from online sources (53%). Students reported an increase in consumption of fast food (38%); sitting and screen time (82%), time spent in searching for general health-related information (50%); use of natural health products (32%) and a decrease in the time dedicated to physical activities (49%). Over 23.7% of students reported being unsure or would not get the COVID-19 vaccine, while 35% of responded were either unsure or believed vaccines were unsafe.&lt;/p&gt;

&lt;p&gt;&lt;i&gt;Conclusions and implications for policy, practice or additional research:&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;As post-secondary institutions and public health professionals prepare for in-person classes, after a year of predominantly online learning these results provide baseline information that can be used to plan and communicate appropriate interventions (e.g., targeted vaccination campaigns) and support strategies that mitigate COVID-19 outbreaks and keep students informed and healthy.&lt;/p&gt;
description: Special Call for Research Projects COVID-19
description: This dataset is restricted. Please consult the access guidelines document in order to learn more about why this is, under what conditions access will be allowed, and the process for requesting access.
DOI: 10.5683/sp3/omlxtz
title: Data Primer: Making Digital Humanities Research Data Public // Manuel d’introduction aux données : Rendre publiques les données de recherche en sciences humaines numériques
title: Manuel d’introduction aux données : Rendre publiques les données de recherche en sciences humaines numériques

description: This researcher-centered Primer was collaboratively authored by over 30 Digital Humanities researchers, research assistants and data professionals. It serves as an overview of the different aspects of data curation and management best practices for the Digital Humanities. The files deposited here - both the English and French version - are drafts.
DOI: 10.5683/sp3/1xv1nr
title: Improved NASM Framework for Food-Processing Wash-Water and Solid Residuals GIS Data

description: The attached files contain data that was used to create GIS maps that show a comparison between heavy metal standards in North America to Ontario's standards for land application.
description: ArcMap, 10.4.1
description: Microsoft Excel
DOI: 10.5683/sp3/plaoix
title: Documented orphaned oil and gas wells across the United States (2021 & 2022 coordinates)

description: Orphaned oil and gas wells are unplugged non-producing wells with no solvent owner of record to plug and mitigate them, such that the responsibility often falls on governments and the general public. Unplugged wells pose risks to the environment, climate, and human health. The datasets contain the coordinates of 78,685 (as of September 2021) and 120,481 (as of April 2022) documented orphaned wells across the United States, which have been compiled from state oil and gas state agencies and public state databases. Documented orphaned wells will be addressed through the Investment and Infrastructure Jobs Act (IIJA, 2021) for plugging and remediation.
DOI: 10.5683/sp3/1jn3oi
title: Hybrid evolution repeats itself across environmental contexts in Texas sunflowers (Helianthus)

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;To what extent is evolution repeatable? Little is known about whether the evolution of hybrids is more (or less) repeatable than non-hybrids. We used field experimental evolution in annual sunflowers (&lt;em&gt;Helianthus&lt;/em&gt;) in Texas to ask the extent to which hybrid evolution is repeatable across environments compared to non-hybrid controls. We created hybrids between &lt;em&gt;Helianthus annuus&lt;/em&gt; (L.) and &lt;em&gt;H. debilis&lt;/em&gt; (Nutt.) and grew plots of both hybrids and non-hybrid controls through eight generations at three sites in Texas. We collected seeds from each generation and grew each generation × treatment × home site combination at two final common gardens. We estimated the strength and direction of evolution in terms of fitness and 24 traits, tested for repeated versus non-repeated evolution, and assessed overall phenotypic evolution across lineages and in relation to a locally adapted phenotype. Hybrids consistently evolved higher fitness over time while controls did not, though trait evolution varied in strength across home sites. Repeated evolution was more evident in hybrids versus non-hybrid controls, and hybrid evolution was often in the direction of the locally adapted phenotype. Our findings have implications for both the nature of repeatability in evolution and the contribution of hybridization to evolution across environmental contexts.&lt;/p&gt;
description: &lt;b&gt;Methods&lt;/b&gt;&lt;br /&gt;&lt;p&gt;Data were collected from common gardens in 2017 and 2019. Data were collected on paper, transcribed to Microsoft Excel, then processed using R.&lt;/p&gt;
description: <b>Dryad version number:</b> 3
<b>Version status:</b> submitted
<b>Dryad curation status:</b> Published
<b>Sharing link:</b> https://datadryad.org/stash/share/IoJ6yi8xMR9Ntqc5wbVtCRbm7iwYRsDqTGW9fTNrEls
<b>Storage size:</b> 3109175
<b>Visibility:</b> public