cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5522/04/24790305.v1
title: <b>Treatment preferences among people at risk of developing tuberculosis: a discrete choice experiment</b>

description: We designed and implemented a discrete choice experiment (DCE) to solicit treatment preferences among adults (≥18 years) with TB symptoms attending a primary health clinic in Blantyre, Malawi. Quantitative choice modelling with multinomial logit models estimated through frequentist and Bayesian approaches investigated preferences for the management of bacteriologically-negative, but radiographically-apparent TB.128 participants were recruited and underwent 10 DCE tasks with one task (5) repeated. The results of all the DCE tasks are uploaded with accompanying demographic data both as minimal and expanded datasets along with a data dictionary.
DOI: 10.15468/dl.hm4j5n
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamna ditropis Hubbs & Follett, 1947",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026103-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ydcwz
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Codonopsis tsinlingensis Pax & K.Hoffm."
 ]
}

 The dataset includes 57 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026102-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehpghj
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pinguicula robertiana Zamudio & Hern.Rend."
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026105-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytktkx
title: Occurrence Download

description: A dataset containing 15401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ziziphus jujuba Mill."
 ]
}

 The dataset includes 15401 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026104-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5r53q
title: Occurrence Download

description: A dataset containing 3693 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespa simillima Smith, 1868"
 ]
}

 The dataset includes 3693 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026107-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg77k8
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Puffinus griseus (Gmelin, 1789)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 829 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026109-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ts9rr
title: Occurrence Download

description: A dataset containing 3600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ficus benjamina L."
 ]
}

 The dataset includes 3600 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026111-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data1273
title: Replication data for: "Peptide-based biosensing approaches for targeting breast cancer-derived exosomes"

description: Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics. This study explores the use of peptides as cost-effective and stable alternatives to antibodies for exosome binding. To achieve that, phage display technology was employed to select peptides with high specificity for target molecules in exosomes. Specifically, a selected peptide was evaluated for its ability to selectively bind breast cancer-derived exosomes. Proteomic analysis identified 38 protein candidates targeted by the peptide on exosome membranes. The binding of the peptide to breast cancer-derived exosomes was successfully demonstrated by flow cytometry and magneto-actuated immunoassays. Furthermore, an electrochemical biosensor was also tested for breast cancer-derived exosome detection and quantification. The peptide demonstrated effective binding to exosomes from aggressive cancer cell lines, offering promising results in terms of specificity and recovery. This research shows potential for developing rapid, accessible diagnostic tools for breast cancer, especially in low-resource healthcare settings.
description: Cytexpert (Beckman Coulter), 2.5
description: Microsoft Excel, null
description: Proteome Discoverer Software (Thermo Fisher Scientific), 1.4
DOI: 10.17026/dans-x9s-fft9
title: Baskensburg Vlissingen 20230704 RAP IVO-P 480192 Baskensburg Vlissingen rev00 compl

description: &lt;p&gt;In april 2023 is door Antea Group een archeologisch proefsleuvenonderzoek uitgevoerd voor Baskensburg in Vlissingen (gemeente Vlissingen). Aanleiding voor het onderzoek is het voornemen van de gemeente om het gebied te ontwikkelen tot een nieuw bedrijventerrein. Voorafgaand aan het proefsleuvenonderzoek is al een bureau- en booronderzoek uitgevoerd, waarin geadviseerd werd om een dubbelbestemming op te nemen voor een deel van het gebied. Die delen zijn nu met dit proefsleuvenonderzoek onderzocht.Het plangebied ligt tussen het Baskensburgplein en de Sloeweg aan de noordkant van Vlissingen. Voor het proefsleuvenonderzoek is alleen het gearceerde gebied in afbeelding 3 geselecteerd.Er is bij het proefsleuvenonderzoek één vindplaats aangetroffen: de restanten van het gesloopte hof Mallegem. Daarentegen zijn er van het vestingwerk geen resten gevonden, wat tegen de verwachting in was. Ook is er geen vondstmateriaal aangetroffen dat daaraan kon worden gerelateerd.De resten van het hof Mallegem bestaan voornamelijk uit uitbraaksleuven en paalkuilen. Ook is er een waterput gevonden, die in de 20e eeuw gedempt is. De boerderij blijkt vrij grondig gesloopt te zijn, waardoor er relatief weinig van overgebleven is. Wel is hierbij wat vondstmateriaal aangetroffen, met name in de waterput.De vindplaats is beoordeeld als niet behoudenswaardig. Antea Group adviseert daarom om de geplande werkzaamheden zonder nader onderzoek uit te voeren. Bovendien adviseert Antea Group om het vondstmateriaal te deselecteren. Dit omdat nader onderzoek of conservering naar verwachting nauwelijks kenniswinst oplevert voor deze vindplaats of voor de bredere context waarin deze zich bevindt.Dit is een advies. Het nemen van een selectiebesluit is voorbehouden aan het bevoegd gezag, in dit geval de gemeente Vlissingen. Deze heeft bovenstaand advies overgenomen op 30 juni 2023.&lt;/p&gt;
DOI: 10.6084/m9.figshare.30112165
title: Fungal Virulence Factors Datasets for IBD-Specific Antifungal Drug Discovery

description: Fungi are closely associated with various diseases, with Candida albicans (C. albicans) recognized as an important pathogenic fungus in inflammatory bowel disease (IBD). Fungal pathogenicity is primarily mediated by virulence factors, therefore, comprehensive identification of fungal virulence factors is critical for targeted drug development and disease treatment. However, current databases contain limited numbers of fungal virulence factors, lack effective predictive algorithms, and do not directly provide protein structural information relevant for drug discovery. In this study, we constructed a positive dataset comprising 18,072 fungal virulence factors. Utilizing machine learning approaches, we further predicted and identified 390 potential virulence factors from 8,081 representative protein sequences across the proteomes of 99 C. albicans strains, generating a dedicated C. albicans virulence factor dataset. Additionally, five IBD-associated pathogenic virulence factors were identified, and their protein structural data included in the dataset were leveraged to facilitate small-molecule compound screening. Collectively, this study provides a comprehensive data resource and theoretical foundation for the identification of fungal virulence factors and the development of related therapeutics.
DOI: 10.6084/m9.figshare.30112165.v2
title: Fungal Virulence Factors Datasets for IBD-Specific Antifungal Drug Discovery

description: Fungi are closely associated with various diseases, with Candida albicans (C. albicans) recognized as an important pathogenic fungus in inflammatory bowel disease (IBD). Fungal pathogenicity is primarily mediated by virulence factors, therefore, comprehensive identification of fungal virulence factors is critical for targeted drug development and disease treatment. However, current databases contain limited numbers of fungal virulence factors, lack effective predictive algorithms, and do not directly provide protein structural information relevant for drug discovery. In this study, we constructed a positive dataset comprising 18,072 fungal virulence factors. Utilizing machine learning approaches, we further predicted and identified 390 potential virulence factors from 8,081 representative protein sequences across the proteomes of 99 C. albicans strains, generating a dedicated C. albicans virulence factor dataset. Additionally, five IBD-associated pathogenic virulence factors were identified, and their protein structural data included in the dataset were leveraged to facilitate small-molecule compound screening. Collectively, this study provides a comprehensive data resource and theoretical foundation for the identification of fungal virulence factors and the development of related therapeutics.
DOI: 10.6084/m9.figshare.30112165.v1
title: Fungal Virulence Factors Datasets for IBD-Specific Antifungal Drug Discovery

description: Fungi are closely associated with various diseases, with Candida albicans (C. albicans) recognized as an important pathogenic fungus in inflammatory bowel disease (IBD). Fungal pathogenicity is primarily mediated by virulence factors, therefore, comprehensive identification of fungal virulence factors is critical for targeted drug development and disease treatment. However, current databases contain limited numbers of fungal virulence factors, lack effective predictive algorithms, and do not directly provide protein structural information relevant for drug discovery. In this study, we constructed a positive dataset comprising 18,072 fungal virulence factors. Utilizing machine learning approaches, we further predicted and identified 390 potential virulence factors from 8,081 representative protein sequences across the proteomes of 99 C. albicans strains, generating a dedicated C. albicans virulence factor dataset. Additionally, five IBD-associated pathogenic virulence factors were identified, and their protein structural data included in the dataset were leveraged to facilitate small-molecule compound screening. Collectively, this study provides a comprehensive data resource and theoretical foundation for the identification of fungal virulence factors and the development of related therapeutics.
DOI: 10.5281/zenodo.15527232
title: The African Transport Systems Database: an open geospatial database of multi-modal connected networks

description: We present the first comprehensive geolocated multi-modal transport database for the whole continent of Africa, the African Transport Systems Database (AfTS-Db), including road, rail, aviation, maritime and inland waterway networks. To do so, we created and standardized asset and network data across all transport modes, including inter-modal connections, attributes of road and rail corridors and estimated annual statistics for airports and ports. The African Transport Systems Database includes 234 airports including their airline routes, 179 maritime ports and their connections with each other, 132 inland ports and docking sites with river and lake connections, 6,057 railway stations connected across 99,373 kilometers of rail lines, and 1,004,512 kilometers of roads mainly comprised of all motorways, trunk roads, primary and secondary routes across Africa and some local roads that connect to other transport modes. The AfTS-Db provides key information for transport planning, resilience assessments, asset management and development of transport models and applications. Furthermore, we expect the data will also be of relevance for environmental, health, social and economic studies.
DOI: 10.17026/dans-x9w-62mu
title: Warffumerweg 39 Onderdendam Proefsleuvenonderzoek Warffumerweg 39 te Onderdendam, gemeente Het Hogeland (GR)

description: &lt;p&gt;Binnen het onderzoeksgebied zijn resten gevonden van twee voorgangers van de onlangs gesloopte boerderij.&lt;br&gt;Van de oudste, middeleeuwse voorganger zijn enkel een paalkuil en een klein deel van een lemen vloer aange-troffen. Daaroverheen is met hergebruikte kloostermoppen een nieuwe boerderij gebouwd. De resten die hiervan zijn aangetroffen zijn ook zichtbaar op de Kadastrale Minuut van 1811-1832. De vondsten die bij het onderzoek zijn gedaan, dateren uit de middeleeuwen en nieuwe tijd en kunnen worden gekoppeld aan bewoning op de wierde.&lt;/p&gt;&lt;p&gt;In overleg met het bevoegd gezag, gemeente Het Hogeland, is besloten dat de bouwwerkzaamheden archeologie besparend kunnen worden voortgezet. Daarom is er geen vervolgonderzoek nodig in het onderzoeksgebied.&lt;/p&gt;
DOI: 10.5286/isis.e.rb2400092-2
title: Neutron diffraction studies of separation of olefins and paraffins in novel bimetallic MOFs

description: The global polymer market is dominated by lower olefins, which are the most demanded chemicals. Polymer-grade (&gt;99.95%) olefins are required to product high quality polymers. However, the coexistence of olefin and paraffin with similar physical properties in the crude product makes them extremely challenging to separate. Leading technology relies heavily on cryogenic separation, which is extremely energy-intensive. We have recently developed 3 novel ultramicroporous robust metal-organic frameworks (MOFs), namely Al/Cu-Pyc, Ga/Cu-Pyc, and In/Cu-Pyc, which show great promise for their separation in the mixtures. To gain key structural insights into their exceptional adsorption performance, we request 4 days on WISH to investigate the binding domains of deuterated C2 and C3 hydrocarbons within these materials via in situ neutron powder diffraction (NPD). This study will promote the development of low-carbon purification of alkene from alkane.
DOI: 10.5286/isis.e.rb2510295-2
title: Investigation of dual-field magnetocaloric effect of La0.67Ca0.33MnO3

description: Pressure has been widely used to tune the magnetocaloric effect (MCE) performance by impacting the magnetostructural/magnetoelastic coupling. However, research studies focusing on the relationship between the pressure-induced coupling mechanism and the electronic degree of freedom are scarce.Here, we propose to investigate the pressure-dependent lattice structure properties of La0.67Ca0.33MnO3, which undergoes a first-order insulator paramagnetic to metal-ferromagnetic transition with small thermal hysteresis, involving simultaneous structural, magnetic, and electronic transformations.Uncovering the pressure-dependent multi-degree-offreedom coupling mechanism will shed light on the path forward for dual-field studies of MCE materials.
DOI: 10.5286/isis.e.rb2510295
title: Investigation of dual-field magnetocaloric effect of La0.67Ca0.33MnO3

description: Pressure has been widely used to tune the magnetocaloric effect (MCE) performance by impacting the magnetostructural/magnetoelastic coupling. However, research studies focusing on the relationship between the pressure-induced coupling mechanism and the electronic degree of freedom are scarce.Here, we propose to investigate the pressure-dependent lattice structure properties of La0.67Ca0.33MnO3, which undergoes a first-order insulator paramagnetic to metal-ferromagnetic transition with small thermal hysteresis, involving simultaneous structural, magnetic, and electronic transformations.Uncovering the pressure-dependent multi-degree-offreedom coupling mechanism will shed light on the path forward for dual-field studies of MCE materials.
DOI: 10.5281/zenodo.17104891
title: The Tariff Cascade: How China-US Trade Barriers Reshape Global Battery Material Networks Through Strategic Intermediaries

description: This dataset contains comprehensive trade flow data, network analysis code, and visualization materials for the study "The Tariff Cascade: How China-US Trade Barriers Reshape Global Battery Material Networks Through Strategic Intermediaries". The repository includes bilateral trade statistics for four key lithium-ion battery raw materials (2010-2023), tariff implementation data, Python/R scripts for network topology analysis, high-resolution figures, and scenario simulation tools. All data is sourced from UN Comtrade, OECD databases, and national customs records. The dataset enables full reproduction of research findings and supports further analysis of geopolitical impacts on critical mineral supply chains essential for the clean energy transition.
DOI: 10.5281/zenodo.17104890
title: The Tariff Cascade: How China-US Trade Barriers Reshape Global Battery Material Networks Through Strategic Intermediaries

description: This dataset contains comprehensive trade flow data, network analysis code, and visualization materials for the study "The Tariff Cascade: How China-US Trade Barriers Reshape Global Battery Material Networks Through Strategic Intermediaries". The repository includes bilateral trade statistics for four key lithium-ion battery raw materials (2010-2023), tariff implementation data, Python/R scripts for network topology analysis, high-resolution figures, and scenario simulation tools. All data is sourced from UN Comtrade, OECD databases, and national customs records. The dataset enables full reproduction of research findings and supports further analysis of geopolitical impacts on critical mineral supply chains essential for the clean energy transition.
DOI: 10.15468/dl.jbjfme
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset's 4 records were derived from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188371-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw5vad
title: Occurrence Download

description: A dataset listing the 153601 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 153601 records were derived from 1674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102708-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycyapj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis wahlbergii Smith, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034069-250525065834625/datasets/export for details.
DOI: 10.7486/dri.gh93wx70m
title: Shapefile (line) - Contour lines 0.50m interval spacing dating to 16/05/2021. The contour lines cross the coastal landscape containing the remains of a promontory fort - coastal (SMR No.: KE042-034001-), a castle - tower house (SMR No.: KE042-034002-), and a possible promontory fort - coastal (KE042-181----), located in Ballyoughteragh South, County Kerry.
DOI: 10.7486/dri.gt550m223
title: Shapefile (polygon) - Mask used for extracting raster cells from within a defined boudary for Ferriters UAV digital photogrammetry outputs and visualisations dating to the 16/05/2021 of the coastal landscape containing the remains of a promontory fort - coastal (SMR No.: KE042-034001-), a castle - tower house (SMR No.: KE042-034002-), and a possible promontory fort - coastal (KE042-181----), located in Ballyoughteragh South, County Kerry.
DOI: 10.15468/dl.ivu4ap
title: Occurrence Download

description: A dataset containing 1372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachiaria brizantha (A.Rich.) Stapf",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1372 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081907-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.752k4e
title: Occurrence Download

description: A dataset containing 166283 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Squalus acanthias Linnaeus, 1758"
 ]
}

 The dataset includes 166283 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175963-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3i8id
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora mixta L. f.",
 "Country is Colombia",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-96.46 -20.28,-96.46 14.20,-41.35 14.20,-41.35 -20.28,-96.46 -20.28))"
 ]
}

 The dataset includes 187 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031882-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.