cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7a8emu
title: Occurrence Download

description: A dataset containing 18838 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dryopteris erythrosora (D.C.Eaton) Kuntze, Dryopteris erythrosora (D.C.Eaton) C.Chr., Dryopteris erythrosora subsp. purpurascens H.Itô, Dryopteris erythrosora var. koidzumiana (Tagawa) H.Ito, Dryopteris erythrosora var. tenuipes Rosenst., Dryopteris erythrosora var. dilatata (Koidz.) Sugim., Dryopteris erythrosora var. prolifica (Maxim. ex Franch. & Sav.) Makino, Dryopteris erythrosora var. koidzumiana (Tagawa) H.Hara, Dryopteris erythrosora subsp. tenuipes Rosenst., Dryopteris erythrosora var. purpurascens H.Itô, Dryopteris erythrosora var. caudipinna (Nakai) H.Itô, Dryopteris erythrosora var. ambigens Nakai, Dryopteris erythrosora var. chiliolepis Hand.-Mazz., Dryopteris erythrosora var. cavaleriei Rosenst., Dryopteris erythrosora var. viridisora Nakai, Dryopteris erythrosora var. viridisora Nakai ex H.Itô, Dryopteris erythrosora subsp. chiliolepis Hand.-Mazz., Dryopteris erythrosora var. obtusa (Makino) Makino, Dryopteris erythrosora f. viridisora (Nakai ex H.Itô) H.Itô)"
 ]
}

 The dataset includes 18838 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085275-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id321920.1
title: StrainInfo SI-ID 321920.1

description: StrainInfo dataset 321920 about a strain of Clavibacter michiganensis subsp. michiganensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.qtyq6u
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylopia lamarckii Baill."
 ]
}

 The dataset includes 65 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085278-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id321921.1
title: StrainInfo SI-ID 321921.1

description: StrainInfo dataset 321921 about a strain of Clavibacter michiganensis subsp. michiganensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id321922.1
title: StrainInfo SI-ID 321922.1

description: StrainInfo dataset 321922 about a strain of Clavibacter michiganensis subsp. michiganensis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.xhfblr
title: Occurrence Download

description: A dataset containing 431282 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hedera L."
 ]
}

 The dataset includes 431282 records from 922 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045792-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17487812
title: Diabetic Foot Ulcers-Data
DOI: 10.15468/dl.h8tnzy
title: Occurrence Download

description: A dataset containing 6612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.56105 50.49808,2.54641 50.50046,2.53424 50.49799,2.52806 50.49093,2.5233 50.4815,2.52304 50.47003,2.52753 50.46633,2.54632 50.46307,2.56272 50.47188,2.56907 50.48167,2.56801 50.4934,2.56105 50.49808))",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862"
 ]
}

 The dataset includes 6612 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011563-260208012135463/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.31324033
title: <b>Data Quality in Health Information Systems: Healthcare Stakeholders’ Lived Experiences in Botswana</b>

description: <b>Introduction and Objectives:</b> Health Information Systems (HIS) in Botswana and similar low- and middle-income countries (LMICs) struggle with persistent data quality issues. While technical constraints are well understood, the lived experiences of healthcare stakeholders (including frontline healthcare workers, data managers, and policymakers) who generate and use health data remain poorly understood. This study examines how these experiences shape professional practice and influence HIS performance and data quality.<b>Materials and Methods</b>: This qualitative study used Interpretative Phenomenological Analysis (IPA) to explore the lived experiences of 61 healthcare stakeholders in Botswana. Participants were recruited using purposive sampling. The study was conducted in four settings central to Botswana’s HIS landscape: an urban hospital [blinded for peer review], a peri-urban hospital [blinded for peer review], a specialty clinic [blinded for peer review], and a national health authority [blinded for peer review]. Data were collected through open-ended written prompts, one-to-one semi-structured individual interviews (for clarification probing of written responses), and focus groups and were analysed ideographically.<b>Results:</b> Four experiential themes were constructed: Opaque Hand, feeling subject to unilateral system changes without consultation; Fractured Whole, experiencing professional fragmentation and exclusion from HIS governance; Social Mirror, having adoption shaped by peer dynamics and cultural resistance; and finally, the Broken Bridge, working with misaligned, fragmented systems that hinder care delivery. All these themes undermined data quality and system engagement.<b>Conclusions:</b> HIS challenges are fundamentally human, eroding frontline agency and professional identity. Sustainable improvement requires a paradigm shift toward participatory, human-centred co-design that integrates health workers' expertise into the governance and policy, system development, and change management process to strengthen data quality and HIS engagement.
DOI: 10.6084/m9.figshare.31324033.v1
title: <b>Data Quality in Health Information Systems: Healthcare Stakeholders’ Lived Experiences in Botswana</b>

description: <b>Introduction and Objectives:</b> Health Information Systems (HIS) in Botswana and similar low- and middle-income countries (LMICs) struggle with persistent data quality issues. While technical constraints are well understood, the lived experiences of healthcare stakeholders (including frontline healthcare workers, data managers, and policymakers) who generate and use health data remain poorly understood. This study examines how these experiences shape professional practice and influence HIS performance and data quality.<b>Materials and Methods</b>: This qualitative study used Interpretative Phenomenological Analysis (IPA) to explore the lived experiences of 61 healthcare stakeholders in Botswana. Participants were recruited using purposive sampling. The study was conducted in four settings central to Botswana’s HIS landscape: an urban hospital [blinded for peer review], a peri-urban hospital [blinded for peer review], a specialty clinic [blinded for peer review], and a national health authority [blinded for peer review]. Data were collected through open-ended written prompts, one-to-one semi-structured individual interviews (for clarification probing of written responses), and focus groups and were analysed ideographically.<b>Results:</b> Four experiential themes were constructed: Opaque Hand, feeling subject to unilateral system changes without consultation; Fractured Whole, experiencing professional fragmentation and exclusion from HIS governance; Social Mirror, having adoption shaped by peer dynamics and cultural resistance; and finally, the Broken Bridge, working with misaligned, fragmented systems that hinder care delivery. All these themes undermined data quality and system engagement.<b>Conclusions:</b> HIS challenges are fundamentally human, eroding frontline agency and professional identity. Sustainable improvement requires a paradigm shift toward participatory, human-centred co-design that integrates health workers' expertise into the governance and policy, system development, and change management process to strengthen data quality and HIS engagement.
DOI: 10.7910/dvn/hhd2bz
title: PED-2023

description: Processed HOBO environmental data for 2023.
DOI: 10.15468/dl.4b42ke
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amentotaxus argotaenia"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011565-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84hxhp
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus guttulus"
 ]
}

 The dataset includes 215 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011564-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gs99xz
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Facultad de Ciencias Biológicas de la Universidad Complutense de Madrid (MACB)",
 "TaxonKey is Pedicularis"
 ]
}

 The dataset includes 78 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011566-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/af6c4679-99aa-4352-9f63-af3bd7bc87a4
title: Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2021

description: This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 110 x 1 km squares across Great Britain in 2021 as part of a rolling soil and vegetation monitoring program of 500 1km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.

The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. 

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

description: Within each of 110 x 1-km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys. 
 
After collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.
DOI: 10.15468/dl.7x4v88
title: Occurrence Download

description: A dataset containing 20040 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey)) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey)) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey)) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey)) ordercount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['familykey'] &lt;&gt; ''
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey

 The dataset's 20040 records were derived from 86329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011486-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8
title: Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022

description: The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.
description: Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year.  Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error.  Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have  produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.
DOI: 10.6084/m9.figshare.29294228
title: Multiconfigurational non-adiabatic molecular dynamics towards photochemical-N<sub>2</sub>-extrusion reactions in borodiazenes

description: This repository includes the data for the manuscript titled "Multiconfigurational non-adiabatic molecular dynamics towards photochemical N2-extrusion reactions in borodiazenes," in which we utilize advanced quantum-chemical calculations to examine the photodenitrogenation of 1-methylborodiazene to borirane.
DOI: 10.6084/m9.figshare.29294228.v2
title: Multiconfigurational non-adiabatic molecular dynamics towards photochemical-N<sub>2</sub>-extrusion reactions in borodiazenes

description: This repository includes the data for the manuscript titled "Multiconfigurational non-adiabatic molecular dynamics towards photochemical N2-extrusion reactions in borodiazenes," in which we utilize advanced quantum-chemical calculations to examine the photodenitrogenation of 1-methylborodiazene to borirane.
DOI: 10.6084/m9.figshare.29294228.v1
title: Multiconfigurational non-adiabatic molecular dynamics towards photochemical-N<sub>2</sub>-extrusion reactions in borodiazenes

description: This repository includes the data for the manuscript titled "Multiconfigurational non-adiabatic molecular dynamics towards photochemical N2-extrusion reactions in borodiazenes," in which we utilize advanced quantum-chemical calculations to examine the photodenitrogenation of 1-methylborodiazene to borirane.
DOI: 10.15468/rcnvt3
title: New record of Pachodynerus nasidens (Vespidae) on Madeira

description: This dataset documents the first confirmed record of the Neotropical potter wasp Pachodynerus nasidens (Latreille, 1817) in the western Palaearctic region, based on specimens collected on Madeira Island. Native to the Americas, P. nasidens has demonstrated a remarkable capacity for range expansion, with established populations in several Pacific islands, Japan, and Australia. Its detection in Madeira represents the first occurrence of this species in the western Palaearctic, the first introduced species of Vespidae recorded on Madeira Island, and only the second in Macaronesia. The introduction of P. nasidens is likely linked to human-mediated transport, particularly via aviation and maritime activities, which facilitate dispersal across oceanic barriers. The species’ notable nesting plasticity—allowing it to exploit pre-existing cavities, abandoned nests of other wasps, and various artificial structures—is considered a key factor underlying its successful establishment in novel insular environments. These findings contribute new data on the distribution of Vespidae in Macaronesia and highlight the importance of monitoring non-native Hymenoptera in oceanic islands. Given Madeira’s high level of endemism, further research is needed to evaluate the potential ecological impacts of P. nasidens, particularly its possible interactions and competition with the endemic cavity-nesting wasp Ancistrocerus madaera (de Saussure, 1853).
DOI: 10.15468/dl.fpgxqy
title: Occurrence Download

description: A dataset containing 90897 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elodea nuttallii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Year is greater than or equal to 1980",
 "Geometry POLYGON((-24.6 34.6, 35.65 34.6, 35.65 72, -24.6 72, -24.6 34.6))"
 ]
}

 The dataset includes 90897 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011497-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/6a3382cc-f5f4-4d68-9517-c62fadd8af4f
title: Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2020, v2

description: This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 48 x 1-km squares across Great Britain in 2020 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.

The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

description: Within each of 48 x 1-km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys.

After collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.
DOI: 10.15468/dl.czgsgg
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.69122 9.94417,-74.9719 9.94417,-74.9719 10.69677,-75.69122 10.69677,-75.69122 9.94417))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cebus versicolor"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011569-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkgqe8
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-40.91625 -20.49138,-40.88679 -20.47248,-40.89943 -20.44822,-40.91078 -20.44069,-40.92878 -20.44012,-40.939 -20.44808,-40.94153 -20.45976,-40.94283 -20.47094,-40.93282 -20.48386,-40.91625 -20.49138))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 211 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011568-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.