cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25404/ufh.30718157
title: Quantification of the incidence and financial implications of stock theft in Eastern Cape Province, South Africa

description: Stock theft poses a significant and persistent challenge to the agricultural sector in South Africa. This widespread issue has severe consequences for farmers, including financial losses, emotional distress, and the inability to maintain sustainable agricultural practices. The objective of the study was to quantify the incidence and financial implications of stock theft in Eastern Cape Province (ECP), South Africa. The retrospective data (2018 to 2024) of stock theft was obtained from the provincial police stock theft unit, captured in Excel, transformed, and analysed using R Studio 4.2.2 (version 2022) for statistical analysis. The Alfred Nzo district, with a total of 6427 (21.5%) reported cases, experienced the highest number of cases of stock theft reported amongst the eight districts of the ECP in the period from 2018 to 2024 financial year. Sheep (OR = 1.03; P &lt; 0.01) and goat (Odds Ratio = 1.00; P &gt; 0.40) had a higher likelihood of being stolen, and with no recoveries after being stolen (Odds Ratio = 0.99; P &gt; 0.93) and (Odds Ratio = 1.01; P &gt; 0.119). In the current study, cattle amounted to a loss of 399 million rands (21,904,418.00 USD), with 30,816 cattle being stolen. The impact of stock theft has far-reaching ramifications for the country’s economy and the sustainability of current farming ventures. Information obtained from this study could assist stakeholders in being empowered to make informed decisions, allocate resources effectively, and develop targeted interventions to combat stock theft.
DOI: 10.25404/ufh.30718157.v1
title: Quantification of the incidence and financial implications of stock theft in Eastern Cape Province, South Africa

description: Stock theft poses a significant and persistent challenge to the agricultural sector in South Africa. This widespread issue has severe consequences for farmers, including financial losses, emotional distress, and the inability to maintain sustainable agricultural practices. The objective of the study was to quantify the incidence and financial implications of stock theft in Eastern Cape Province (ECP), South Africa. The retrospective data (2018 to 2024) of stock theft was obtained from the provincial police stock theft unit, captured in Excel, transformed, and analysed using R Studio 4.2.2 (version 2022) for statistical analysis. The Alfred Nzo district, with a total of 6427 (21.5%) reported cases, experienced the highest number of cases of stock theft reported amongst the eight districts of the ECP in the period from 2018 to 2024 financial year. Sheep (OR = 1.03; P &lt; 0.01) and goat (Odds Ratio = 1.00; P &gt; 0.40) had a higher likelihood of being stolen, and with no recoveries after being stolen (Odds Ratio = 0.99; P &gt; 0.93) and (Odds Ratio = 1.01; P &gt; 0.119). In the current study, cattle amounted to a loss of 399 million rands (21,904,418.00 USD), with 30,816 cattle being stolen. The impact of stock theft has far-reaching ramifications for the country’s economy and the sustainability of current farming ventures. Information obtained from this study could assist stakeholders in being empowered to make informed decisions, allocate resources effectively, and develop targeted interventions to combat stock theft.
DOI: 10.6084/m9.figshare.31389625
title: Geoparque Mundial da UNESCO - Arouca Geopark

description: Arouca Geopark - Localizado em Portugal Dados Obtidos: Alos Palsar - 30 Metros (2025) - Impressão feita no Laboratório de geoprocessamento/@geolab.udesc impressora BambuLab x1 Carbon.20,5x11
DOI: 10.6084/m9.figshare.31389625.v1
title: Geoparque Mundial da UNESCO - Arouca Geopark

description: Arouca Geopark - Localizado em Portugal Dados Obtidos: Alos Palsar - 30 Metros (2025) - Impressão feita no Laboratório de geoprocessamento/@geolab.udesc impressora BambuLab x1 Carbon.20,5x11
DOI: 10.17026/ar/qgyqh0
title: Bureauonderzoek en Inventariserend veldonderzoek - verkennende fase Veerweg 7 te Dalfsen, gemeente Dalfsen (OV) Bureauonderzoek en Inventariserend veldonderzoek - verkennende fase Veerweg 7 te Dalfsen, gemeente Dalfsen (OV)

description: &lt;p&gt;Laagland Archeologie heeft in februari 2024 een Bureauonderzoek en Inventariserend veldonderzoek - verkennende fase uitgevoerd aan de Veerweg 7 te Dalfsen. Het onderzoek vond plaats in verband met de ruimtelijke procedure rondom de bouw van een nieuwe schuur.&lt;br&gt;Het onderzoek is uitgevoerd conform de protocollen SIKB KNA 4002 en 4003.&lt;br&gt;Het bureauonderzoek had tot doel een archeologisch verwachtingsmodel op te stellen. Centraal staat daarbij de vraag of en zo ja welke archeologische resten (complextype, datering, diepteligging en gaafheid) in het plangebied kunnen worden verwacht. Hiertoe zijn landschappelijke, archeologische en historische bronnen geraadpleegd.&lt;br&gt;Het plangebied ligt op een relatief hooggelegen dalvlakteterras, grenzend aan een (laaggelegen) vlakte van rivierafzettingen. Bodemkundig ligt het terrein in een zone met hoge enkeerdgronden. Het plangebied ligt op een AMK-terrein van hoge archeologische waarde en in de directe omgeving zijn diverse resten uit de prehistorie en de Late Middeleeuwen bekend. In historische tijden is het plangebied tot ruwweg 1900 onbebouwd gebleven. De huidige woning is in 1971 gebouwd, samen met inmiddels gesloopte schuren en stallen direct ten zuiden van het plangebied. Voor het plangebied geldt een hoge verwachting op resten uit de periode Laat-Paleolithicum tot en met de Nieuwe Tijd.&lt;br&gt;Tijdens het booronderzoek is vermoedelijk een plaggendek aangetroffen in het noordoostelijke plangebied. De schuur is in de zuidoosthoek voorzien. Gezien ook de iets hogere ligging van de onderliggende top van het rivierterras is juist de oostzijde van het plangebied kansrijk. Indien de schuur op deze locatie wordt gebouwd op een sleuvenfundering adviseren we archeologische onderzoek in de vorm van een archeologische begeleiding. Hiertoe is een door het bevoegd gezag goed te keuren Programma van Eisen benodigd.&lt;br&gt;Dit advies is in handen van de bevoegde overheid, de gemeente Dalfsen. De gemeente wordt hierin vertegenwoordigd door haar deskundige, dr. Olaf Satijn (regio-archeoloog).&lt;br&gt;Mochten tijdens de werkzaamheden onverhoopt toch archeologische resten worden aangetroffen, of resten waarvan redelijkerwijze kan worden vermoed dat het om archeologische resten gaat, dan geldt op grond van de Erfgoedwet (art. 5.10) een meldingsplicht. Dit kan bij de Rijksdienst voor het Cultureel Erfgoed (RCE, www.cultureelerfgoed).&lt;/p&gt;
DOI: 10.5281/zenodo.18742645
title: Dataset for How Low-Frequency Neural Activity Structures Language in Time

description: Data for the analysis to the manuscript: "How Low-Frequency Neural Activity Structures Language in Time" (Henke, L., Maess, B., & Meyer, L.)
DOI: 10.5525/gla.researchdata.2191
title: Portable System for Flexible micro-endoscopy using a multi-mode fibre - Dataset

description: Raw data and code required to make the figures contained within the paper with the title, “Portable System for Flexible micro-endoscopy using a multi-mode fibre - APN”.
DOI: 10.5281/zenodo.18742644
title: Dataset for How Low-Frequency Neural Activity Structures Language in Time

description: Data for the analysis to the manuscript: "How Low-Frequency Neural Activity Structures Language in Time" (Henke, L., Maess, B., & Meyer, L.)
DOI: 10.15468/dl.rpt8mv
title: Occurrence Download

description: A dataset containing 64995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydropsyche siltalai"
 ]
}

 The dataset includes 64995 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003511-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18735421
title: DeepOWT v3.25.1: Dense Sentinel-1 Time Series for Deployment and Operational Dynamics

description: DeepOWT (deep learning derived global offshore wind turbines) is an independent and openly accessible data set of offshore wind energy infrastructure locations and their temporal deployment dynamics on a global scale.

Locations are derived by applying deep learning based object detection on ESA's spaceborne Sentinel-1 synthetic aperture radar (SAR) archive.

Dense time series are derived by inspecting each available Sentinel-1 scene at every detected infrastructure location. One-dimensional swath profiles are generated for each acquisition and infrastructure location, showing the maximum SAR backscatter value along the horizontal axis, thereby capturing directed SAR signatures.

File metadata




File(s)
Time
Geometry
Spatial extent
Temporal resolution


DeepOWT.parquet (Derived Locations)
2016Q1-2025Q1
points
Global
quarterly


location_validation_2025Q1.parquet (Ground Truth Location)
2025Q1
polygons
North Sea Basin, East China Sea, Southeast Vietnam
-


swath_profile_time_series/part_*_swath_profile_time_series.parquet (Analysis Ready Time Series, and Derived Baseline Labels)
2016Q1-2025Q1
- (related to DeepOWT points via unit_id)
-
for each available S1-acquisition (~2-12 days)


swath_profile_time_series_validation.parquet (Ground Truth Time Series Event Labels)
2016Q1-2025Q1
- (related to DeepOWT points via unit_id)
-
for each available S1-acquisition (~2-12 days)
DOI: 10.5281/zenodo.5933966
title: DeepOWT v3.25.1: Dense Sentinel-1 Time Series for Deployment and Operational Dynamics

description: DeepOWT (deep learning derived global offshore wind turbines) is an independent and openly accessible data set of offshore wind energy infrastructure locations and their temporal deployment dynamics on a global scale.

Locations are derived by applying deep learning based object detection on ESA's spaceborne Sentinel-1 synthetic aperture radar (SAR) archive.

Dense time series are derived by inspecting each available Sentinel-1 scene at every detected infrastructure location. One-dimensional swath profiles are generated for each acquisition and infrastructure location, showing the maximum SAR backscatter value along the horizontal axis, thereby capturing directed SAR signatures.

File metadata




File(s)
Time
Geometry
Spatial extent
Temporal resolution


DeepOWT.parquet (Derived Locations)
2016Q1-2025Q1
points
Global
quarterly


location_validation_2025Q1.parquet (Ground Truth Location)
2025Q1
polygons
North Sea Basin, East China Sea, Southeast Vietnam
-


swath_profile_time_series/part_*_swath_profile_time_series.parquet (Analysis Ready Time Series, and Derived Baseline Labels)
2016Q1-2025Q1
- (related to DeepOWT points via unit_id)
-
for each available S1-acquisition (~2-12 days)


swath_profile_time_series_validation.parquet (Ground Truth Time Series Event Labels)
2016Q1-2025Q1
- (related to DeepOWT points via unit_id)
-
for each available S1-acquisition (~2-12 days)
DOI: 10.15468/dl.yysrcp
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Panthera uncia"
 ]
}

 The dataset includes 265 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003603-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5xatq
title: Occurrence Download

description: A dataset containing 687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orthotrichia tragetti"
 ]
}

 The dataset includes 687 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003604-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/swqzo8
title: Bureauonderzoek Middenspanningsverbindingen Angeren – RS Bemmel te Bemmel (gemeente Lingewaard)

description: &lt;p&gt;In april 2024 is in opdracht van BAM Infra Energie & Water Noord-Oost B.V. door Antea Group een archeologisch bureauonderzoek uitgevoerd voor het tracé van de
middenspanningsverbinding Angeren – RS Bemmel, in Bemmel (gemeente Lingewaard).&lt;/p&gt;&lt;p&gt;
Aanleiding voor het onderzoek is aanleg middenspanningsverbinding. De tracédelen die uitgevoerd worden middels een horizontaal gestuurde boring (HDD) kunnen worden vrijgeven. Een tracédeel in het westelijke deel kan worden vrijgegeven op basis van
eerder uitgevoerd archeologisch onderzoek. In het noordoostelijke deel van het tracé geldt een lage verwachting. Dit deel kan eveneens worden vrijgegeven. Omdat er een hoge en middelhoge kans is op het aantreffen van archeologische resten binnen het plangebied, adviseert Antea Group om binnen de overige delen van het plangebied een
vervolgonderzoek uit te voeren. Dit vervolgonderzoek dient te bestaan uit een booronderzoek. In een centraal deel van het tracé geldt op basis van de bestemmingsplannen en/of de
archeologische beleidskaart geen onderzoeksplicht. Echter gezien de aanwezigheid van enkele nabijgelegen vindplaatsen adviseren wij om hier ook een booronderzoek uit te voeren. Dit om de kans op oponthoud te beperken als er bij de aanleg van de middenspanningsverbinding toch
archeologische resten worden aangetroffen.&lt;/p&gt;
DOI: 10.6084/m9.figshare.31007341.v1
title: Figures for Miquel M et al. FasebBioadvances 2025-00325R

description: Study of mice intestinal paracellular permeability, in healthy conditions, chronic stress and lipid diet
DOI: 10.15468/dl.uw7hpx
title: Occurrence Download

description: A dataset containing 2748984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA.12_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2748984 records from 1006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003565-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5umgwg
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sicyos glaber Wooton"
 ]
}

 The dataset includes 51 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127704-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7f8ph8
title: Occurrence Download

description: A dataset containing 7860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fallopia scandens (L.) Holub"
 ]
}

 The dataset includes 7860 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209173-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4wzcf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Navia affinis L.B.Sm."
 ]
}

 The dataset includes 24 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045819-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.667fyz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria modesta Játiva & Epling"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121638-230530130749713/datasets/export for details.
DOI: 10.15468/dl.6xmnfm
title: Occurrence Download

description: A dataset containing 1806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Pygochelidon melanoleuca",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 1806 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082586-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t444pq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is Biosphärenpark Wienerwald - Pfaffstätten",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209182-230224095556074/datasets/export for details.
DOI: 10.15468/dl.b9jwry
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomandra brevis A.T.Lee"
 ]
}

 The dataset includes 607 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012833-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mexqm4
title: Occurrence Download

description: A dataset containing 38478 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sardinella Valenciennes, 1847"
 ]
}

 The dataset includes 38478 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051593-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3scqaz
title: Occurrence Download

description: A dataset containing 6392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Buteo lagopus (Pontoppidan, 1763)",
 "Year 2000-2023"
 ]
}

 The dataset includes 6392 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209178-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f55ad
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria muramatsui H.Hara"
 ]
}

 The dataset includes 314 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121661-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hps5ys
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didymopanax glaziovii Taub."
 ]
}

 The dataset includes 87 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051613-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gakuf2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is Données du parc national de la Vanoise",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209180-230224095556074/datasets/export for details.
DOI: 10.15468/dl.jqmhz2
title: Occurrence Download

description: A dataset containing 9536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceidae"
 ]
}

 The dataset includes 9536 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082583-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jb84s6
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligochaeta minima (Boiss.) Briq."
 ]
}

 The dataset includes 63 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051602-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3n2ju
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-101.28887 20.57551,-101.20327 20.57582,-101.20286 20.65021,-101.2895 20.65044,-101.28887 20.57551))"
 ]
}

 The dataset includes 172 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096447-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mrpkw
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fallopia cynanchoides (Hemsl.) Haraldson"
 ]
}

 The dataset includes 121 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209184-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9e4gtn
title: Occurrence Download

description: A dataset containing 26319 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 26319 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0096432-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngwxyx
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lomandra brittanii T.S.Choo"
 ]
}

 The dataset includes 125 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012835-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cgduu6
title: Occurrence Download

description: A dataset containing 3698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oligomeris linifolia (Vahl ex Hornem.) J.F.Macbr."
 ]
}

 The dataset includes 3698 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051605-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.