cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3ggpxx
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-122.4152990999999986 37.7292969000000014, -122.4152990999999986 37.7303506200000029, -122.4152990999999986 37.7310882199999966, -122.4152990999999986 37.7318785100000014, -122.4152990999999986 37.7328795499999998, -122.4152990999999986 37.7338805799999975, -122.4152990999999986 37.7345655000000022, -122.4142963799999961 37.7345655000000022, -122.4133991199999940 37.7345655000000022, -122.4127129900000028 37.7345655000000022, -122.4117101700000063 37.7345655000000022, -122.4109184800000065 37.7345655000000022, -122.4098101000000014 37.7345655000000022, -122.4087017300000042 37.7345655000000022, -122.4071183399999967 37.7345655000000022, -122.4059045000000054 37.7345655000000022, -122.4059045000000054 37.7333010400000006, -122.4059045000000054 37.7324580599999990, -122.4059045000000054 37.7317731400000014, -122.4059045000000054 37.7305086799999998, -122.4059045000000054 37.7292969000000014, -122.4072239000000053 37.7292969000000014, -122.4088072899999986 37.7292969000000014, -122.4100212200000044 37.7292969000000014, -122.4108129199999979 37.7292969000000014, -122.4123435300000011 37.7292969000000014, -122.4135574600000069 37.7292969000000014, -122.4145602800000034 37.7292969000000014, -122.4152990999999986 37.7292969000000014))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 83 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080870-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9bh5g5
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptodeira punctata (Peters, 1866))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 307 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034477-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se7pdb
title: Occurrence Download

description: A dataset containing 2733231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lamiales"
 ]
}

 The dataset includes 2733231 records from 1126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080886-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bex2n3
title: Occurrence Download

description: A dataset containing 1794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centaurea calcitrapa L."
 ]
}

 The dataset includes 1794 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034479-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdu4se
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-108.01032 -22.38478,-15.98968 -22.38478,-15.98968 14.38478,-108.01032 14.38478,-108.01032 -22.38478))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erisma uncinatum Warm."
 ]
}

 The dataset includes 640 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102273-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dk89t
title: Occurrence Download

description: A dataset containing 26522683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Japan, Nepal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26522683 records from 3558 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109642-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/bbcf5b48-7069-4e6e-9d06-0d51669319fe
title: Mediterranean Sea - Contaminants aggregated datasets 1971/2023 v2025
title: Mediterranean_Sea_Contaminants_aggregated_datasets_1971/2023_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Mediterranean Sea. Data were harmonised and validated by the ‘Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)’ in Greece.
The dataset contains water, sediment and biota profiles and timeseries. The temporal coverage is 1974–2022 for water measurements, 1971–2023 for sediment measurements and 1979-2023 for biota measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 ). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ .
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.17035/cardiff.30258508
title: Mechanistic insights into the catalytic hydrogenation of furfural derivatives over Pd and Pt catalysts - Raw Data

description: Furfural and its derivatives exhibit high potential as platform chemicals in the developing circular economy. To help deepen our understanding of their utility as bio-based feedstocks with high molecularity, we present an experimentally verified density functional theory (DFT) landscape of the catalytic hydrogenation of furfural-derived ketones over model Pd and Pt catalysts. Reaction mechanisms were identified for the hydrogenation of both chain C=C bonds and furan rings. Our model successfully predicts that chain double bonds are readily hydrogenated over both metals, whereas the hydrogenation of furan ring systems is strongly sensitive to catalyst choice. A low activation energy barrier of +69.1 kJ mol<sup>-1</sup> was observed for ring hydrogenation over Pd(111). Computational analysis revealed that the accumulation of positive charge on the furan carbons impeded ring hydrogenation over Pt(111), leading to poor activity and selectivity
DOI: 10.17035/cardiff.30258508.v1
title: Mechanistic insights into the catalytic hydrogenation of furfural derivatives over Pd and Pt catalysts - Raw Data

description: Furfural and its derivatives exhibit high potential as platform chemicals in the developing circular economy. To help deepen our understanding of their utility as bio-based feedstocks with high molecularity, we present an experimentally verified density functional theory (DFT) landscape of the catalytic hydrogenation of furfural-derived ketones over model Pd and Pt catalysts. Reaction mechanisms were identified for the hydrogenation of both chain C=C bonds and furan rings. Our model successfully predicts that chain double bonds are readily hydrogenated over both metals, whereas the hydrogenation of furan ring systems is strongly sensitive to catalyst choice. A low activation energy barrier of +69.1 kJ mol<sup>-1</sup> was observed for ring hydrogenation over Pd(111). Computational analysis revealed that the accumulation of positive charge on the furan carbons impeded ring hydrogenation over Pt(111), leading to poor activity and selectivity
DOI: 10.57707/fmi-b2share.183309f91f4a48ceac70f05712714f97
title: Data for manuscript "Effect of future forest management on carbon and energy budgets in pine forests on mineral soil in southern Finland" by Leskinen et al.

description: This material includes the supplementary figures, details of the harvest scenarios, model output and information related to the metric time dependent mission equivalence (TDEE), related to the manuscript "Effect of future forest management on carbon and energy budgets in pine forests on mineral soil in southern Finland" by Leskinen et al. "Harvest_scenarios.zip" consists of the age-class distribution fractions in the three harvest scenarios used with 5-year intervals from 2010 to 2050. "JSBACH_output_2010_2054.zip" has the raw daily model output data of relevant variables for the harvest scenarios, under RCP 4.5 and RCP 8.5 climate scenarios, ran with three climate models CanESM2, CNRM-CM5 and MIROC5. "TDEE.zip" consists of the code used to convert radiative forcing to carbon equivalence, with additional files for CO2 concentration under both RCP 4.5 and RCP 8.5, as well as the atmospheric decay matrix for CO2.
DOI: 10.5064/f6k0jfht/e11uqw
title: DuBois_APOL1.DD.1031.pdf
DOI: 10.5064/f6k0jfht/dfsu6h
title: DuBois_APOL1.DD.1016.pdf
DOI: 10.5064/f6k0jfht/iw6qru
title: DuBois_APOL1.DD.1029.pdf
DOI: 10.5064/f6k0jfht/nhlpea
title: DuBois_APOL1.DD.1020.pdf
DOI: 10.5064/f6k0jfht/batst4
title: DuBois_APOL1.DD.1024.pdf
DOI: 10.15468/dl.vntxhe
title: Occurrence Download

description: A dataset containing 217804 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1970-1974"
 ]
}

 The dataset includes 217804 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039953-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6k0jfht/y4cy7l
title: DuBois_APOL1.DD.1002.pdf
DOI: 10.5064/f6k0jfht/saz72x
title: DuBois_APOL1.DD.1001.pdf
DOI: 10.15468/dl.czhj9h
title: Occurrence Download

description: A dataset containing 9358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Maprounea"
 ]
}

 The dataset includes 9358 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040022-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6k0jfht/t6poec
title: DuBois_APOL1.DD.1011.pdf
DOI: 10.15468/dl.qjn4ts
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucotina natalensis",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 298 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040024-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpxdj3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucotina natalensis",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040023-250920141307145/datasets/export for details.
DOI: 10.5064/f6k0jfht/y6l2lr
title: DuBois_APOL1.DD.1026.pdf
DOI: 10.5064/f6k0jfht/wo49gj
title: DuBois_APOL1.DD.1008.pdf
DOI: 10.15468/dl.ucbhd6
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040025-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6k0jfht/g6k2p2
title: DuBois_APOL1.DD.1023.pdf
DOI: 10.15468/dl.364apm
title: Occurrence Download

description: A dataset containing 14204 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MOSS - Herbário Dárdano de Andrade Lima"
 ]
}

 The dataset includes 14204 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040026-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6k0jfht/uqnr4h
title: DuBois_APOL1.DD.1015.pdf
DOI: 10.5064/f6k0jfht/xuyztc
title: DuBois_APOL1.DD.1007.pdf
DOI: 10.5064/f6k0jfht/ja0jm2
title: DuBois_APOL1.DD.1013.pdf
DOI: 10.5064/f6k0jfht/pjoju0
title: DuBois_APOL1.DD.1010.pdf
DOI: 10.5064/f6k0jfht/bak5gs
title: DuBois_APOL1.DD.1006.pdf
DOI: 10.5064/f6k0jfht/xqunlv
title: DuBois_APOL1.DD.1021.pdf
DOI: 10.5064/f6k0jfht/oahy0f
title: DuBois_APOL1.DD.1030.pdf
DOI: 10.5064/f6k0jfht/lz7ibf
title: DuBois_APOL1.DD.1022.pdf
DOI: 10.5064/f6k0jfht/gf6nyb
title: DuBois_APOL1.DD.1012.pdf
DOI: 10.5064/f6k0jfht/efo6nd
title: DuBois_APOL1_InterviewData_CodedExcerpts.csv
DOI: 10.5064/f6k0jfht/adcx4e
title: DuBois_APOL1.DD.1005.pdf
DOI: 10.5064/f6k0jfht/38abuz
title: DuBois_APOL1.DD.1028.pdf
DOI: 10.5064/f6k0jfht/w6hyuk
title: DuBois_APOL1.DD.1018.pdf
DOI: 10.5064/f6k0jfht/jte0d0
title: DuBois_APOL1.DD.1014.pdf
DOI: 10.13120/a86e29fd-40c4-44cf-9e75-b084ef661c49
title: Baltic Sea - Contaminants aggregated datasets 1972/2023 v2025
title: Baltic_Sea_Contaminants_aggregated_datasets_1972/2023_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Baltic Sea. Data were harmonised and validated by the ‘Swedish Meteorological and Hydrological Institute (SMHI)’ in Sweden. 
The dataset contains water, sediment and biota profiles. The temporal coverage is 1987–2022 for water measurements, 1974–2022 for sediment measurements and 1972-2023 for biota measurements.
Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 ). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/ .
The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.5064/f6k0jfht/9m6otr
title: DuBois_APOL1.DD.1009.pdf
DOI: 10.5064/f6k0jfht/y3apjx
title: DuBois_APOL1.DD.1025.pdf
DOI: 10.5064/f6k0jfht/l4aaff
title: DuBois_APOL1.DND.1027.pdf
DOI: 10.5281/zenodo.17251085
title: HRM Maturity Models for SMEs

description: This dataset gathers a literature search on the topic of "HRM Maturity Models for SMEs" in Scopus and Web of Science. The search was conducted in 2025.
DOI: 10.5064/f6k0jfht/b45kyu
title: DuBois_APOL1.DD.1019.pdf
DOI: 10.5281/zenodo.17251084
title: HRM Maturity Models for SMEs

description: This dataset gathers a literature search on the topic of "HRM Maturity Models for SMEs" in Scopus and Web of Science. The search was conducted in 2025.
DOI: 10.5064/f6k0jfht/lmrrmu
title: DuBois_APOL1.DD.1003.pdf
DOI: 10.5064/f6k0jfht/j91rid
title: DuBois_APOL1.DD.1017.pdf
DOI: 10.5064/f6k0jfht/gb8qgo
title: DuBois_APOL1.DND.1001.pdf
DOI: 10.5064/f6k0jfht/gbanpk
title: DuBois_APOL1_Interview_FAQ.pdf
DOI: 10.5064/f6k0jfht/0ccndl
title: DuBois_APOL1_InterviewGuide.pdf
DOI: 10.5064/f6k0jfht/lkna7p
title: DuBois_APOL1_SurveyGuide_ACPS_SurveyA_LivingDonorStakeholders.pdf
DOI: 10.5064/f6k0jfht/e9djtf
title: DuBois_APOL1_Interview_InfoSheet.pdf
DOI: 10.5064/f6k0jfht/vgiw2f
title: DuBois_APOL1_InterviewConsentFAQ.pdf
DOI: 10.5064/f6k0jfht/jpmb2j
title: DuBois_APOL1_Prompts_for_interviews_and_additional_information_for_interviewers.pdf
DOI: 10.5064/f6k0jfht/mdcycg
title: DuBois_APOL1_SurveyGuide_ACPS_SurveyC_TransplantProfessionals.pdf
DOI: 10.5064/f6k0jfht/8gohhe
title: DuBois_APOL1_ACPS_AGPM_MERGED_ALL_FORMS_DeID_FINAL.xlsx
DOI: 10.5064/f6k0jfht/u00erv
title: DuBois_APOL1_SurveyGuide_ACPS_SurveyB_DeceasedDonorRecipients.pdf
DOI: 10.13120/94f43557-d752-49d8-aea5-b24680875b27
title: Baltic Sea - Eutrophication and Acidity aggregated datasets 1902/2024 v2025
title: Baltic_Sea_aggregated_eutrophication_and_acidity_datasets_1902-2024_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Baltic Sea. Data were aggregated and quality controlled by the "Swedish Meteorological and Hydrological Institute (SMHI)" in Sweden.
ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets .
Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67 ). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/ .
When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.25 kg/L.
The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV ).
DOI: 10.5064/f6k0jfht/kxzacx
title: DuBois_APOL1_SurveyGuide_AttitudesTowardGenomicsAndPrecisionMedicine(AGPM).pdf
DOI: 10.5064/f6k0jfht/32hnuu
title: DuBois_APOL1_InterviewConsentForm.pdf
DOI: 10.5064/f6k0jfht/na9xqt
title: DuBois_APOL1_InterviewCodebook.pdf
DOI: 10.5064/f6k0jfht/go7c7t
title: DuBois_DataNarrative.pdf
DOI: 10.5064/f6k0jfht/op4upa
title: README_DuBois.txt
DOI: 10.5064/f6k0jfht
title: Data for: Identifying and Exploring Solutions to the Ethical Challenges of ApoL1 Testing of Donors with Recent African Ancestry Through Mixed Methods Research with Stakeholders

description: &lt;h3&gt;Project Overview&lt;/h3&gt;
&lt;p&gt;Blacks in the United States have a higher incidence of end-stage kidney disease
than the general population; much, but not all, of this excess risk is attributed to variants in the
ApoL1 gene. Individuals with 2 high-risk variants—found almost exclusively in people of West
African ancestry—have a 20% chance of developing kidney disease. Black living donors (LD)
have a higher risk of developing end-stage kidney disease after donation, and kidney
transplants from Black deceased donors (DD) have diminished allograft survival compared to
kidneys from non-Black donors. The ApoL1 Long-term Kidney Transplantation Outcomes
(APOLLO) Network was established to address the role of ApoL1 testing in kidney
transplantation.&lt;/p&gt;
&lt;p&gt;Our project, which was an APOLLO Network ancillary study, had three specific
aims: 
&lt;ul&gt;
&lt;li&gt;AIM 1. Assess the acceptability of competing ApoL1 genetic testing practices related to
organ donation through a survey of living kidney donors, kidney donor recipients, and
transplant professionals.&lt;/li&gt;
&lt;li&gt;AIM 2: Conduct semi-structured qualitative interviews with people
who were evaluated for living kidney donation and received APOL1 genetic testing to
understand their experiences with and attitudes toward APOL1 genetic testing.&lt;/li&gt; 
&lt;li&gt;AIM 3: Use a Delphi panel process to obtain an informed consensus among diverse stakeholder groups on ApoL1 testing clinical practices.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Shared Data and Organization&lt;/h3&gt;
&lt;p&gt;The data shared here are the survey responses from Aim 1 and the de-identified transcripts from Aim 2, with all accompanying documentation.
The de-identified data from Aim 3 (Delphi panel) is shared in a related data project whose full citation can be found in the project-level metadata.&lt;/p&gt;
DOI: 10.34740/kaggle/dsv/13241991
title: Peer-to-Peer Boliviano (BOB) Exchange Data