cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17865557
title: Conductivity Temperature and Depth (CTD) Data from the EL25-Bornholm Cruise with R/V Electra, 29 - 30 May 2025

description: This package contains CTD data collected during the fourth cruise of a research project entitled "Evaluating the recovery trajectory of benthic community structure and function after cessation of bottom trawling."

The data were collected in the Bornholm Strait in the Baltic Sea, between 29th and 30th of May 2025.

Research Vessel: R/V Electra af Askö

The cruise was conducted with support from FORMAS and SWERVE.

Data Description

This package contains both the raw CTD sensor data (.hex files) and the pre-processed files (.cnv). Note that these data are not quality checked. The pre-processing involves conversion of the raw data into scientific units, filtering, averaging, binning, and calculating additional oceanographic parameters. All the pre-processing is performed by Seabird's Seasave software modules. Processing parameters are found in the .cnv file headers.

The vertical resolution of the data is 0.25 meters.

Measured parameters:



depSM: Depth [salt water, m]- prDM: Pressure, Digiquartz [db]- altM: Altimeter [m]- c0mS/cm: Conductivity [mS/cm]- t090C: Temperature [ITS-90, deg C]- sal00: Salinity, Practical [PSU]- sbeox0ML/L: Oxygen, SBE 43 [ml/l]- oxsatML/L: Oxygen Saturation, Weiss [ml/l]- svCM: Sound Velocity [Chen-Millero, m/s]- par: PAR/Irradiance, Biospherical/Licor- flECO-AFL: Fluorescence, WET Labs ECO-AFL/FL [mg/m^3]- turbWETntu0: Turbidity, WET Labs ECO [NTU]- nbf: Bottles Fired- timeS: Time, Elapsed [seconds]- scan: Scan Count- latitude: Latitude [deg]- longitude: Longitude [deg]- timeQ: Time, NMEA [seconds]- gsw_saA0: Absolute Salinity [g/kg]- gsw_densityA0: density, TEOS-10 [density, kg/m^3]- gsw_ssA0: sound speed, TEOS-10 [m/s]
DOI: 10.5281/zenodo.17864969
title: SNP Genotyping Dataset (hmp format) of 85 Iranian Walnut (Juglans regia) Genotypes for Leafing Date GWAS

description: This dataset contains SNP genotyping data in HapMap (hmp) format for 85 Iranian walnut (Juglans regia) genotypes and commercial cultivars. The dataset was generated using genotyping-by-sequencing (GBS) and comprises approximately 68K high-quality SNPs. These data were used to perform genome-wide association studies (GWAS) to identify candidate loci associated with leafing date, a key adaptive trait for climate resilience in walnut. Population structure analysis revealed three major genetic clusters corresponding to geographic origin, highlighting the evolutionary history of Iranian walnut germplasm. GWAS consistently identified significant loci on chromosomes 1, 4, 6, 8, 11, and 13. A validated marker on chromosome 4 (JRgwLDch4pos20189439) showed strong discrimination between early- and late-leafing phenotypes across populations. This dataset provides a valuable genomic resource for marker-assisted selection (MAS) and breeding of climate-resilient walnut cultivars. File format: hmp. File size: 68 KB.
DOI: 10.5281/zenodo.17864970
title: SNP Genotyping Dataset (hmp format) of 85 Iranian Walnut (Juglans regia) Genotypes for Leafing Date GWAS

description: This dataset contains SNP genotyping data in HapMap (hmp) format for 85 Iranian walnut (Juglans regia) genotypes and commercial cultivars. The dataset was generated using genotyping-by-sequencing (GBS) and comprises approximately 68K high-quality SNPs. These data were used to perform genome-wide association studies (GWAS) to identify candidate loci associated with leafing date, a key adaptive trait for climate resilience in walnut. Population structure analysis revealed three major genetic clusters corresponding to geographic origin, highlighting the evolutionary history of Iranian walnut germplasm. GWAS consistently identified significant loci on chromosomes 1, 4, 6, 8, 11, and 13. A validated marker on chromosome 4 (JRgwLDch4pos20189439) showed strong discrimination between early- and late-leafing phenotypes across populations. This dataset provides a valuable genomic resource for marker-assisted selection (MAS) and breeding of climate-resilient walnut cultivars. File format: hmp. File size: 68 KB.
DOI: 10.48579/pro/watlk5
title: Replication data for: Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025

description: FILE DESCRIPTION Keywords: Clan size, clan type, by year, WTPDs File name = Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025 OLDFile name = WTPDs, Clan size, clan type, by year, 11 Feb 2025 TYPE vs Fem ARS, 26 Sept 2021 I started this file from WTPDs, Clan size vs Fem ARS, 01 Sept 2021 See details for WTPDs, Clan size vs Fem ARS, 01 Sept 2021, immediately below Info on Clan type has been checked TWO TIMES on 26 Sept 2021 See below for earlier checks, for change to clansize for one clan Clantype = 0 = No male clan = no resident sexually mature male Clantype = 0.5 = half-male clan = two clans shared the same single sexually mature male Clantype = 1 = one-male clan = single sexually mature male in single territory Clantype = 2 = multi-male clan = single clan territory with &gt;=2 sexually mature males See Chapter 10 of Hoogland 2026 for more details about clan types. On 01 Sept 2021, I enter information on Clan size I check info on Clan size ONE TIME ONLY. I found only two errors, and will not check a second time because I find NO EVIDENCE that Clan size affects ARS of WTPD females in any positive or negative way If a single WTPD male controlled two half-male clans, I scored him for Clan size of BOTH CLANS. On 26 Sept, I re-order stats per year by clansize--to make it easier to assign clantypes Date = 14 Feb 2020 This file has now been checked TWO TIMES by JLH alone I created this new EXCEL file from WTPD litter summaries These data used for Figure 10.1 in Hoogland 2026. This file ready for longterm storage on 05 Feb 2025. File name = Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025 Clan size = number of adults and yearlings in same territory. These WTPD clan sizes and clan types are for MAY If one Admale was in a clan and another Admale lived in that clan and shared another clan, I consider the number of Admales for the first clan to be TWO. If two Admales shared the same two clans, then I consider each clan to have TWO Admales
DOI: 10.15468/dl.9amjxm
title: Occurrence Download

description: A dataset containing 818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is one of (South America, North America, Europe, Oceania, Africa, Antarctica, Asia)",
 "TaxonKey is Cylas formicarius",
 "Year 2000-2025"
 ]
}

 The dataset includes 818 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043886-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17876252
title: Aggregated Student Flow Matrix for ASEAN-5+3 (2022–2025) used in "Understanding Regional Student Flows: A Social Network Analysis of ASEAN-5+3 Mobility Preferences and Outflow  Orientations"

description: This dataset is the final directed, weighted adjacency matrix presented in Table 1 of the article 'Understanding Regional Student Flows: A Social Network Analysis of ASEAN-5+3 Mobility Preferences and Outflow Orientations'. It was compiled from UNESCO UIS, IIE, and various official national reports.
DOI: 10.5281/zenodo.17876253
title: Aggregated Student Flow Matrix for ASEAN-5+3 (2022–2025) used in "Understanding Regional Student Flows: A Social Network Analysis of ASEAN-5+3 Mobility Preferences and Outflow  Orientations"

description: This dataset is the final directed, weighted adjacency matrix presented in Table 1 of the article 'Understanding Regional Student Flows: A Social Network Analysis of ASEAN-5+3 Mobility Preferences and Outflow Orientations'. It was compiled from UNESCO UIS, IIE, and various official national reports.
DOI: 10.15468/dl.ejsbtb
title: Occurrence Download

description: A dataset containing 7329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-103.267004 34.233502, -103.304818 34.282919, -103.368650 34.282919, -103.330812 34.233502, -103.267004 34.233502))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7329 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043887-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/czbgid
title: Replication data for: Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 2025

description: FILE DESCRIPTION Keywords: Coterie size, coterie type, by year, BTPDs File name = Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 2025 OLDFile name = BTPDs, cotsize, cottype, by year, 15 April 2020 Note well: These numbers are for MAY. Prior to today, most of my BTPD counts are from APRIL. For example, all data for coterie sizes in Hoogland 1995 are for APRIL rather than May. To ponder: Should I use APRIL COUNTS for infanticide data?--because so many BTPD kills occurred in April rather than the May kills for UPDs and GPDs. Note Appendix B in Hoogland 1995, for example: Almost ALL kills occurred in April rather than May. By contrast, most UPD and GPD kills occurred in May rather than April. For this table, SM male = sexually mature BTPD male, including some BTPD yearling males that copulated. Adfem = &gt;=2 year old female. I do NOT score BTPD yearlings that copulated as Adfems for this table. If a BTPD male was &gt;=2 years old but showed not evidence of sexual activity (No Pigmented Scrotum[PS], No Descended testes [DT] or no observed copulations), then I scored that male as a SI male. SM male = sexually mature/sexually active male Adfem = adult female = &gt;=2=year old female for BTPDs SI male = sexually inactive in year of observation. Conclusion: I SHOULD use April counts for infanticides vs ward density for BTPDs--I think. On 15 April 2020, I check everything in this table TWO TIMES. Cotsize = Coterie size = Number of adults and yearlings in May Coterie type = Type of coterie = One-male (1), Multi-male (2), Half-male (0.5) or No-male (0) No-male coterie had no resident sexually mature male in May Half-male coterie shared a single sexually mature male in May with another coterie One-male coterie had a single resident sexually mature male in May Multi-male coterie had &gt;=2 sexually mature males in May For more information about coterie types, see Chapter 10 of Hoogland 2025 Yrlfems = yearling females = females that were one-year old MOST yearling BTPD females did not copulate, but a few did. These data used for Figure 10.1 in Hoogland 2026. This file ready for longterm storage on 11 Feb 2025. File name = Fig 10.1, BTPDs, coterie sizes and types, by year, 09 Dec 2025
DOI: 10.15468/dl.pgdffh
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vahlia digyna",
 "Continent is Africa"
 ]
}

 The dataset includes 82 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043888-251120083545085/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.27186115
title: How can patients shape digital medicine? A rapid review of patient and public involvement and engagement in the development of digital health technologies for neurological conditions

description: Patient and Public Involvement and Engagement (PPIE) involves working ‘<i>with</i>’ or ‘<i>by</i>’ patients and the public, rather than ‘<i>to</i>,’ ‘<i>about</i>,’ or ‘<i>for</i>’ them, and is integral to neurological and digital health research. This rapid review examined PPIE integration in the development and implementation of digital health technologies for neurological conditions. Key terms were input into six databases. Included articles were qualitative studies or PPIE activities involving patient perspectives in shaping digital health technologies for neurological conditions. Bias was evaluated using the NICE qualitative checklist, with reporting following PRISMA guidelines. 2,140 articles were identified, with 28 included. Of these, 25 were qualitative studies, and only three were focused PPIE activities. Patient involvement was mostly limited to one-off consultations during development.There was little evidence of PPIE during implementation, and minimal reporting on its impact. PPIE has been inconsistently reported in this research area, highlighting the need for more guidance and best-practice examples This review used a UK-based definition of PPIE, which may have excluded relevant activities from other countries. Future reviews should broaden terminology to capture PPIE integration globally.
DOI: 10.6084/m9.figshare.27186115.v1
title: How can patients shape digital medicine? A rapid review of patient and public involvement and engagement in the development of digital health technologies for neurological conditions

description: Patient and Public Involvement and Engagement (PPIE) involves working ‘<i>with</i>’ or ‘<i>by</i>’ patients and the public, rather than ‘<i>to</i>,’ ‘<i>about</i>,’ or ‘<i>for</i>’ them, and is integral to neurological and digital health research. This rapid review examined PPIE integration in the development and implementation of digital health technologies for neurological conditions. Key terms were input into six databases. Included articles were qualitative studies or PPIE activities involving patient perspectives in shaping digital health technologies for neurological conditions. Bias was evaluated using the NICE qualitative checklist, with reporting following PRISMA guidelines. 2,140 articles were identified, with 28 included. Of these, 25 were qualitative studies, and only three were focused PPIE activities. Patient involvement was mostly limited to one-off consultations during development.There was little evidence of PPIE during implementation, and minimal reporting on its impact. PPIE has been inconsistently reported in this research area, highlighting the need for more guidance and best-practice examples This review used a UK-based definition of PPIE, which may have excluded relevant activities from other countries. Future reviews should broaden terminology to capture PPIE integration globally.
DOI: 10.6084/m9.figshare.27111485
title: Perceptions of risk sharing agreements in South Korea from the viewpoints of key stakeholders: a convergent parallel mixed approach

description: In 2013, South Korea introduced risk-sharing agreements (RSAs) as a new reimbursement mechanism to enhance access to new medicines and to manage pharmaceutical expenditures. This study evaluates RSAs in South Korea from the viewpoints of key stakeholders. In 2022, a survey and semi-structured interviews were conducted. Study participants were recruited from academia (<i>n</i> = 3), domestic (<i>n</i> = 4) and foreign (<i>n</i> = 6) manufacturers, and government agencies (<i>n</i> = 6) using a purposive sampling method. Key stakeholders perceived the objective of RSAs to be ‘access to medicines’ and understood RSAs to manage uncertainty about ‘expenditures.’ They responded that financial- and performance-based RSAs address uncertainty about ‘expenditures’ and ‘clinical effectiveness,’ respectively. All stakeholders agreed that RSAs have increased the likelihood that new medicines will be listed and have reduced out-of-pocket expenditures for patients. However, foreign manufacturers insisted that the benefits of RSAs are marginal, while the administrative burden on manufacturers is high. The gaps in perception between stakeholders could be narrowed by conducting a comprehensive evaluation. Financial- and performance-based RSAs need to be clearly distinguished and aligned to address the uncertainties of a new medicine in health systems.
DOI: 10.6084/m9.figshare.27111485.v1
title: Perceptions of risk sharing agreements in South Korea from the viewpoints of key stakeholders: a convergent parallel mixed approach

description: In 2013, South Korea introduced risk-sharing agreements (RSAs) as a new reimbursement mechanism to enhance access to new medicines and to manage pharmaceutical expenditures. This study evaluates RSAs in South Korea from the viewpoints of key stakeholders. In 2022, a survey and semi-structured interviews were conducted. Study participants were recruited from academia (<i>n</i> = 3), domestic (<i>n</i> = 4) and foreign (<i>n</i> = 6) manufacturers, and government agencies (<i>n</i> = 6) using a purposive sampling method. Key stakeholders perceived the objective of RSAs to be ‘access to medicines’ and understood RSAs to manage uncertainty about ‘expenditures.’ They responded that financial- and performance-based RSAs address uncertainty about ‘expenditures’ and ‘clinical effectiveness,’ respectively. All stakeholders agreed that RSAs have increased the likelihood that new medicines will be listed and have reduced out-of-pocket expenditures for patients. However, foreign manufacturers insisted that the benefits of RSAs are marginal, while the administrative burden on manufacturers is high. The gaps in perception between stakeholders could be narrowed by conducting a comprehensive evaluation. Financial- and performance-based RSAs need to be clearly distinguished and aligned to address the uncertainties of a new medicine in health systems.
DOI: 10.2908/jvs_a_isco3_r1
title: Statistiken über offene Stellen nach Berufsgruppe und NUTS-1-Region (Aufschlüsselung von Online-Stellenanzeigen) - jährliche Daten – experimentelle Statistiken
title: Job vacancy statistics by occupation and NUTS 1 region (OJA breakdowns) - annual data – experimental statistics
title: Statistiques sur les vacances d'emploi par profession et région NUTS 1 (ventilation des offres d’emploi en ligne) - données annuelles - statistiques expérimentales
DOI: 10.5281/zenodo.17567415
title: A global instantaneous reservoir water level product from ICESat-2 (2018-2025)

description: This dataset provides the Global, Instantaneous Reservoir Water Level Product from ICESat-2 (2018-2025), as described in the GIScience & Remote Sensing manuscript. This product addresses critical gaps in current hydrological monitoring by leveraging the unique capabilities of NASA's ICESat-2 photon-counting lidar. Its novelty is twofold: 1) It provides enhanced spatial coverage, effectively monitoring reservoirs in complex topographies (e.g., narrow river valleys) and smaller surface areas often missed by traditional radar altimetry. 2) It delivers "instantaneous" retrievals for each satellite overpass, rather than aggregated monthly or annual means. This is crucial for capturing event-scale hydrological dynamics (such as flood peaks and rapid drawdowns) that are masked by temporally averaged data. The product was rigorously validated against in-situ measurements from 46 globally distributed reservoirs, demonstrating exceptionally high accuracy (Pearson’s r = 0.995, RMSE = 1.05 m, bias = –0.18 m). The dataset is provided in CSV / shapefile format and includes unique reservoir identifiers, acquisition timestamps, latitude, longitude, and instantaneous water levels (meters, referenced to WGS84).
DOI: 10.5281/zenodo.17567416
title: A global instantaneous reservoir water level product from ICESat-2 (2018-2025)

description: This dataset provides the Global, Instantaneous Reservoir Water Level Product from ICESat-2 (2018-2025), as described in the GIScience & Remote Sensing manuscript. This product addresses critical gaps in current hydrological monitoring by leveraging the unique capabilities of NASA's ICESat-2 photon-counting lidar. Its novelty is twofold: 1) It provides enhanced spatial coverage, effectively monitoring reservoirs in complex topographies (e.g., narrow river valleys) and smaller surface areas often missed by traditional radar altimetry. 2) It delivers "instantaneous" retrievals for each satellite overpass, rather than aggregated monthly or annual means. This is crucial for capturing event-scale hydrological dynamics (such as flood peaks and rapid drawdowns) that are masked by temporally averaged data. The product was rigorously validated against in-situ measurements from 46 globally distributed reservoirs, demonstrating exceptionally high accuracy (Pearson’s r = 0.995, RMSE = 1.05 m, bias = –0.18 m). The dataset is provided in CSV / shapefile format and includes unique reservoir identifiers, acquisition timestamps, latitude, longitude, and instantaneous water levels (meters, referenced to WGS84).
DOI: 10.15468/dl.akmeqg
title: Occurrence Download

description: A dataset containing 6160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla orientalis"
 ]
}

 The dataset includes 6160 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043889-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbtau7
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-101.382511 34.218339, -101.420213 34.268553, -101.485073 34.268553, -101.447347 34.218339, -101.382511 34.218339))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 339 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043891-251120083545085/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.30846596
title: <b>Global food production under unprecedented risk of climate change</b>

description: Global food production is under unprecedented stress due to multifaceted impact of climate change and natural disasters. Here we estimate the integrated climate risk due to extreme hazards and assess the vulnerability of agricultural production due to risk.
DOI: 10.6084/m9.figshare.30846596.v1
title: <b>Global food production under unprecedented risk of climate change</b>

description: Global food production is under unprecedented stress due to multifaceted impact of climate change and natural disasters. Here we estimate the integrated climate risk due to extreme hazards and assess the vulnerability of agricultural production due to risk.
DOI: 10.15468/dl.qt89rd
title: Occurrence Download

description: A dataset containing 1254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vangueria madagascariensis",
 "Continent is Africa"
 ]
}

 The dataset includes 1254 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043892-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdf89z
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((118.65679 28.71114,121.19767 28.71114,121.19767 30.93551,118.65679 30.93551,118.65679 28.71114))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cornaceae"
 ]
}

 The dataset includes 515 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043893-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.