cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60712/si-id39580.1
title: StrainInfo SI-ID 39580.1

description: StrainInfo dataset 39580 about a strain of Fischerella. 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-id39581.1
title: StrainInfo SI-ID 39581.1

description: StrainInfo dataset 39581 about a strain of Fischerella. 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-id39582.1
title: StrainInfo SI-ID 39582.1

description: StrainInfo dataset 39582 about a strain of Fischerella. 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-id39583.1
title: StrainInfo SI-ID 39583.1

description: StrainInfo dataset 39583 about a strain of Unidentified. 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.jx0f9r
title: Occurrence Download

description: A dataset listing the 10523002 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.50977 19.51721,-78.99902 19.51721,-78.99902 25.81604,-87.50977 25.81604,-87.50977 19.51721))",
 "HasCoordinate is true"
 ]
}

 The dataset's 10523002 records were derived from 811 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012607-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1411647.10fu
title: SH1411647.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.17789750
title: FutuRaM - Composition - Consolidated Data - WEEE

description: Consolidated WEEE composition data at collection category level.
DOI: 10.15156/bio/sh1411649.10fu
title: SH1411649.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.17789749
title: FutuRaM - Composition - Consolidated Data - WEEE

description: Consolidated WEEE composition data at collection category level.
DOI: 10.15156/bio/sh1411651.10fu
title: SH1411651.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411652.10fu
title: SH1411652.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411654.10fu
title: SH1411654.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411658.10fu
title: SH1411658.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411659.10fu
title: SH1411659.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411662.10fu
title: SH1411662.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.30578951.v3
title: Igbinedion University Okada 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)

description: Igbinedion University Okada 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)
DOI: 10.6084/m9.figshare.30575879
title: MS data and siRNA sequence_Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer

description: Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer
DOI: 10.6084/m9.figshare.30575879.v2
title: MS data and siRNA sequence_Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer

description: Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer
DOI: 10.6084/m9.figshare.30575879.v1
title: siRNA sequence_Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer

description: Mechanistic Investigation of Resistance to SHR-A1811 and T-DXd, the Third Generation of HER2-ADC, in Breast Cancer
DOI: 10.6084/m9.figshare.30578951.v4
title: Madonna University, Okija 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)

description: Madonna University, Okija 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)
DOI: 10.6084/m9.figshare.30578951.v5
title: Bowen University, Iwo 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)

description: Bowen University, Iwo 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)
DOI: 10.6084/m9.figshare.30578951.v6
title: Benson Idahosa University, Benin City 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)

description: Benson Idahosa University, Benin City 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)
DOI: 10.15468/dl.67tr99
title: Occurrence Download

description: A dataset containing 28482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is a344ee9f-f1b7-4761-be2c-58ee6d741395",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 28482 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024432-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5wm1469v
title: MassIVE MSV000099814 - Jordan Plants - OS - Crude and Extracts
title: Origanum syriacum crude and fractional ethyl acetate extracts, 1mg/mL
DOI: 10.6084/m9.figshare.27628179.v5
title: Data for the paper "<b>Behavioral Drivers of EHR Adoption and Use Among Nurses in Resource-Constrained Clinical Settings: A Cross-Sectional Survey</b>"

description: <b>Purpose.</b> This study investigates the technological, organizational, and behavioral drivers influencing the use of Electronic Health Records (EHRs) among nurses working in public healthcare facilities located in resource-constrained environments in Botswana. It also develops a contextually grounded model of EHR usage that advances digital health equity as a component of the human right to healthcare. <b>Design/methodology/approach.</b> A cross-sectional survey was conducted among 193 nurses across eight districts in Botswana. The study applied a modified Unified Theory of Acceptance and Use of Technology (UTAUT) framework, integrating additional constructs such as personal innovativeness, resistance to change, and computer anxiety. Data analysis included exploratory factor analysis and hierarchical multiple regression to identify significant predictors of behavioral intention to use EHRs. <b>Findings</b>. Performance expectancy, effort expectancy, personal innovativeness, and attitude toward use were found to significantly and positively influence nurses’ behavioral intention to use EHRs, while computer anxiety had a significant negative effect. Demographic and experiential variables such as level of education, IT experience, professional experience, and age moderated several relationships. The study confirmed that digital health adoption among nurses is a critical lever for upholding healthcare as a human right. <b>Originality.</b> This study is among the first to develop and validate an expanded UTAUT model specific to resource-constrained healthcare environments in Botswana, integrating the human rights perspective into digital health adoption. It offers an empirically grounded framework to guide inclusive and equitable digital health interventions targeting frontline health workers in low-resource settings. <b>Research limitations.</b> The cross-sectional design and reliance on self-reported measures limit causal inference. Future longitudinal and mixed-methods studies are recommended to deepen contextual understanding. <b>Practical implications.</b> Designing user-centered EHR systems and implementing inclusive digital literacy programs are vital strategies for enhancing adoption among nurses and ensuring that digital transformation supports equitable access to healthcare. <b>Social implications.</b> Strengthening nurses’ digital capacity is essential for bridging the digital divide and actualizing the right to health for all, particularly in underserved and marginalized communities.
DOI: 10.6084/m9.figshare.30578951.v7
title: Covenant University Ota 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)

description: Covenant University Ota 2025/26 (Admission Form (1st & 2nd) Batch Admission list is out Call ☎️(07035392356) OR ☎️(+2347035392356) DR RITA on how to apply for Jupeb/Ijmb form, Transfer form, Direct entry form, Masters, PGD and Phd form Call ☎️(07035392356) OR ☎️(+2347035392356)
DOI: 10.15151/esrf-es-2232201850
title: Structural Biology at EMBL Grenoble, IBS-CIBB, IAB and ILL

description: This proposal clusters macromolecular crystallography (MX) and biological small angle X-ray scattering (bioSAXS) projects at the EMBL Grenoble, IBS-CIBB, IAB and ILL. It combines groups working on different topics with a major focus on cell signaling proteins, ubiquitination pathways, nucleic acid-protein complexes, sarcomere development, host-pathogen interactions and drug discovery. The BAG group has been quite productive this last year/reporting period, as summarized in the report, with many results still being further analysed and follow-up experiments planned. Most notably, the BAG has produced 7 PDB depositions, 1 SASDB deposition and 10 publications in peer reviewed journals. The proposers have long-standing experience in the use, as well as the development of beam lines for MX and bioSAXS, and have participated in successive successful BAG applications over the years, mostly at the ESRF. The BAG responsible is again Andrew McCarthy (EMBL Grenoble) for this application round.
DOI: 10.15151/esrf-es-2233796794
title: The Copenhagen area Danish Structural Biology BAG

description: The BAG gathers several danish groups at three Danish Universities in the greater Copenhagen area, using structural biology to answer a number
of fundamental biological and protein-chemical questions ranging from detailed enzyme mechanisms to metal-guided folding of peptides. Many of our projects address issues of fundamental importance to society, from disease to food security to plastic pollution, which we address through eg. development of inhibitors and engineering of biocatalysts guided by our structure-function relationship studies. We also have several more fundamental studies for example determination of protonation states of functionally important residues from high resolution crystal structures.
DOI: 10.15151/esrf-es-2278503101
title: Align nscope and measure test sample

description: Align the optics for the nanofocus station. Measure some scanning data for a Nickel test sample during the night (feasibility test)
DOI: 10.15151/esrf-es-2268223899
title: Structural measurements of pigments

description: In this experiment we will measure some pigments, e.g. different phthalocyanines, to understand their structural differences.
DOI: 10.15151/esrf-es-2238172374
title: Bridging the gap between cellular and whole body imaging using Hierarchical Phase-Contrast Tomography: HiP-CT

description: Humans and other large organisms are three-dimensional multiscale biological systems where large scale function and structure are dependent on the macrostructure’s interconnectivity down to the cellular and subcellular level. Using the exceptional coherence provided by the ESRF-EBS, we have demonstrated that propagation-based phase-contrast can effectively decouple resolution from specimen size in soft tissue, obtaining 1.4 micron voxel resolution in 150 mm diameter human organs. Through this Long Term Proposal (LTP) we will develop the techniques required to image whole human and animal bodies ex vivo at 25 micron resolution, zooming to sub-micron voxels (0.7micron) locally, resolving sub-cellular structures through hard- and soft-tissue. Resolving how the micro (sub-cellular) interacts with the macro (whole organism) across length scales will provide all new insights into biological and biomedical function. This is true for both healthy and pathological system level behaviour.
DOI: 10.15151/esrf-es-2238176699
title: Exploring the High-Pressure Crystal Chemistry of the Fe-S System

description: The Fe-S system is fundamental to understanding planetary interiors. In our previous high-pressure experiments at ESRF, we identified several novel iron sulfide phases on the Fe-rich side. To achieve a comprehensive understanding of the crystal chemistry of the Fe-S system under high pressure, we propose extending our previous study (ES-1529) to the sulfur-rich side of the phase diagram up to 150 GPa. Novel S-rich iron sulfide phases will be synthesized in laser-heated diamond anvil cells under extreme pressure and temperature conditions. The crystal structures of the samples will be characterized using single-crystal X-ray diffraction. Combined with our previous results, this study will, for the first time, enable the construction of a complete Fe-S phase diagram under high pressure across the entire compositional range. The findings will provide new insights into the distribution and behavior of Fe and S in planetary interiors, phase relations and crystal chemistry of Fe-S system.