cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u63fur
title: Occurrence Download

description: A dataset containing 1039930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia)",
 "TaxonKey is Psittacula krameri (Scopoli, 1769)"
 ]
}

 The dataset includes 1039930 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047854-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14500357
title: PRISMA Open database of region- and technology- specific cost of capital

description: This open database of region- and technology-specific cost of capital, developed in the PRISMA project, provides region- and technology-specific cost of capital values for renewable energy technologies and other climate-relevant sectors. These data enhance the fidelity and credibility of energy system and IAM analyses, enabling more nuanced assessments of the trade-offs and synergies involved in the low-carbon energy transition.For more information, we refer the reader to the Readme PDF included in this repository. For questions, please contact Bjarne Steffen or Paul Waidelich.

Please note that the database is embargoed until 1 January 2026 and preliminary access can only be granted for project review purposes.
DOI: 10.15468/dl.cnfcaj
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Records of testate amoebae in São Miguel island (Azores archipelago)"
 ]
}

 The dataset includes 499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047855-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4v6su
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "TaxonKey is Gloydius himalayanus (Günther, 1864)"
 ]
}

 The dataset includes 37 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047856-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14552896
title: BORDER COOPERATION: ITS MAIN ASPECTS AND PRINCIPLES
DOI: 10.5281/zenodo.14552897
title: BORDER COOPERATION: ITS MAIN ASPECTS AND PRINCIPLES
DOI: 10.15468/dl.weuz39
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nolana carnosa (Lindl.) Miers ex Dunal"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047857-241126133413365/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.28090466
title: breast reconstruction

description: breast reconstruction
DOI: 10.5281/zenodo.14552898
title: IMPROVING THE PROFESSIONAL PEDAGOGICAL AWARENESS OF PENITENTIARY WORKERS IN THE MORAL CORRECTION AND EDUCATION OF CONVICTS
DOI: 10.5281/zenodo.14552899
title: IMPROVING THE PROFESSIONAL PEDAGOGICAL AWARENESS OF PENITENTIARY WORKERS IN THE MORAL CORRECTION AND EDUCATION OF CONVICTS
DOI: 10.15468/dl.t7kesx
title: Occurrence Download

description: A dataset containing 499 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Records of testate amoebae in São Miguel island (Azores archipelago)"
 ]
}

 The dataset includes 499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047858-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00008266
title: The prognostic value of faecal calprotectin for long-term outcomes in ulcerative colitis

description: Ulcerative colitis (UC) is a chronic inflammatory disease affecting around 2% of the general population in North America and Western Europe, and its incidence is rising worldwide. UC is an inflammatory bowel disease, which causes irritation, inflammation, and ulcers in the lining of your large intestine. Patients with UC have heterogenous prognosis: some patients have good long-term outcomes after initiation treatment, while some will suffer from relapsing and exacerbated disease courses. Therefore, predicting the prognosis of UC patients is important for selecting optimal treatment approaches and conducting personalized management. Nowadays, identifying effective indicators for predicting the prognosis in UC is receiving more and more attention. Faecal calprotectin, is a protein that your body releases in your excrement when there is inflammation in your intestines. It is an inflammatory biomarker that can be used to assess disease activity and predict relapse in UC. However, the prognostic values of faecal calprotectin and corresponding thresholds for long-term outcomes are still unknown. This study aims at investigating the predictive ability and the threshold of faecal calprotectin for long-term outcomes in UC. This analysis will include data from four clinical trials (VISIBLE, MOMENTUM, GEMINI 1 and VARSITY). Analyses will be conducted to evaluate the relationship between faecal calprotectin and the outcomes of interest, and to assess the predictive ability of faecal calprotectin by determining the level at which one might expect a UC relapse. The results will help clinicians understand the prognostic value of faecal calprotectin and may help in selecting treatment approaches for patients with different prognosis.
DOI: 10.5281/zenodo.14552904
title: BORDER-TERRITORIAL PROBLEMS OF UZBEKISTAN AT THE CURRENT STAGE
DOI: 10.5281/zenodo.14552905
title: BORDER-TERRITORIAL PROBLEMS OF UZBEKISTAN AT THE CURRENT STAGE
DOI: 10.5281/zenodo.14552914
title: A COMPREHENSIVE APPROACH TO DEVELOPING PROFILING COMPETENCE IN FUTURE OFFICERS
DOI: 10.5281/zenodo.14552915
title: A COMPREHENSIVE APPROACH TO DEVELOPING PROFILING COMPETENCE IN FUTURE OFFICERS
DOI: 10.6084/m9.figshare.26968189
title: Case management for people with acquired brain injury: feasibility and effectiveness of a two-year pragmatic randomized controlled trial

description: Case management (CM) aims to facilitate access to and integration of health care and social services. We investigated the feasibility and effectiveness of CM. Randomized controlled trial with 219 patients and 114 caregivers randomly allocated to CM (109/59) or care as usual (110/55). CM was based on early and continuous online monitoring of problems and needs. Outcomes were assessed every 6 months with the Hospital Anxiety and Depression Scale (HADS). Secondary outcome domains were participant restrictions, life satisfaction, self-efficacy, caregiver burden, and needs. Multilevel modeling was used. Feasibility aspects were protocol delivery, participants’ and case managers’ satisfaction, and factors affecting implementation. There were no significant differences between groups. Participation restrictions and unmet needs decreased in both groups within 6 months. Monitoring was successful in 38, and 10 participants asked the CM for support. CM consisted mostly of providing information. CM based on early and continuous online monitoring does not have benefit in identifying and addressing problems early after relatively mild injury. Unsuccessful monitoring may have hindered access to the case manager and prevented us from evaluating CM as a complex intervention. It remains a challenge to early identify those who could benefit from care coordination.
DOI: 10.6084/m9.figshare.26968189.v1
title: Case management for people with acquired brain injury: feasibility and effectiveness of a two-year pragmatic randomized controlled trial

description: Case management (CM) aims to facilitate access to and integration of health care and social services. We investigated the feasibility and effectiveness of CM. Randomized controlled trial with 219 patients and 114 caregivers randomly allocated to CM (109/59) or care as usual (110/55). CM was based on early and continuous online monitoring of problems and needs. Outcomes were assessed every 6 months with the Hospital Anxiety and Depression Scale (HADS). Secondary outcome domains were participant restrictions, life satisfaction, self-efficacy, caregiver burden, and needs. Multilevel modeling was used. Feasibility aspects were protocol delivery, participants’ and case managers’ satisfaction, and factors affecting implementation. There were no significant differences between groups. Participation restrictions and unmet needs decreased in both groups within 6 months. Monitoring was successful in 38, and 10 participants asked the CM for support. CM consisted mostly of providing information. CM based on early and continuous online monitoring does not have benefit in identifying and addressing problems early after relatively mild injury. Unsuccessful monitoring may have hindered access to the case manager and prevented us from evaluating CM as a complex intervention. It remains a challenge to early identify those who could benefit from care coordination.
DOI: 10.5281/zenodo.14552920
title: BUSINESS MANAGEMENT STRATEGY
DOI: 10.5281/zenodo.14552921
title: BUSINESS MANAGEMENT STRATEGY
DOI: 10.15468/dl.j8b2uv
title: Occurrence Download

description: A dataset containing 1006367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "TaxonKey is Cacatua galerita (Latham, 1790)"
 ]
}

 The dataset includes 1006367 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047859-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq6tn9
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllodactylus gerrhopygus (Wiegmann, 1834)"
 ]
}

 The dataset includes 494 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047861-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14552924
title: СИСТЕМЫ УПРAВЛЕНИЯ НAЛOГAМИ И ЛЬГOТAМИ, ГДЕ ГЕНЕРИРУЕТ ПOЛИТИКA ЛOКAЛИЗAЦИИ ПРOИЗВOДСТВA.
DOI: 10.5281/zenodo.14552925
title: СИСТЕМЫ УПРAВЛЕНИЯ НAЛOГAМИ И ЛЬГOТAМИ, ГДЕ ГЕНЕРИРУЕТ ПOЛИТИКA ЛOКAЛИЗAЦИИ ПРOИЗВOДСТВA.
DOI: 10.5281/zenodo.14552930
title: SANOAT KORXONALARINI JOYLASHTIRISHNING BOZOR IQTISODIYOTI SHAROITIDA AHAMIYATI
DOI: 10.5281/zenodo.14552931
title: SANOAT KORXONALARINI JOYLASHTIRISHNING BOZOR IQTISODIYOTI SHAROITIDA AHAMIYATI
DOI: 10.15468/dl.7e8fm8
title: Occurrence Download

description: A dataset listing the 42 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Records of testate amoebae in São Miguel island (Azores archipelago)"
 ]
}

 The dataset's 42 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047860-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf2h8m
title: Occurrence Download

description: A dataset containing 646282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Pycnonotus jocosus (Linnaeus, 1758)"
 ]
}

 The dataset includes 646282 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047862-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7vhks
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.33_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Sparganium gramineum Georgi"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005373-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek8rgx
title: Occurrence Download

description: A dataset containing 249045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carex leporina L."
 ]
}

 The dataset includes 249045 records from 1349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005358-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwyf3z
title: Occurrence Download

description: A dataset containing 675207 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 675207 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005361-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1177024.10fu
title: SH1177024.10FU

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/sh1177025.10fu
title: SH1177025.10FU

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/sh1177027.10fu
title: SH1177027.10FU

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/sh1177028.10fu
title: SH1177028.10FU

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/sh1177030.10fu
title: SH1177030.10FU

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/sh1177033.10fu
title: SH1177033.10FU

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/sh1177037.10fu
title: SH1177037.10FU

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: 10.3886/e243116
title: Mercy Medical University, Iwo, Ogun State 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form

description: Mercy Medical University, Iwo, Ogun State 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15156/bio/sh1177038.10fu
title: SH1177038.10FU

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.