cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.es9d8t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12188450","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023066-241024112534372/datasets/export for details.
DOI: 10.15468/dl.24cet7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12187837","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023065-241024112534372/datasets/export for details.
DOI: 10.15468/dl.7d3fbr
title: Occurrence Download

description: A dataset containing 1145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix lasiandra Benth."
 ]
}

 The dataset includes 1145 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023067-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gaxf8
title: Occurrence Download

description: A dataset containing 1056 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is RB - Rio de Janeiro Botanical Garden Herbarium Collection",
 "Geometry POLYGON((-44.62619 -22.45326,-44.59104 -22.45391,-44.59327 -22.41941,-44.62759 -22.41953,-44.62619 -22.45326))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023063-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14038916
title: Hamburg-Eimsbüttel Sonnen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.14038917
title: Hamburg-Eimsbüttel Sonnen-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.cwejnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12188820","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023069-241024112534372/datasets/export for details.
DOI: 10.15468/dl.5hh8p9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12191352","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023071-241024112534372/datasets/export for details.
DOI: 10.15468/dl.urv4vk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12191322","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023070-241024112534372/datasets/export for details.
DOI: 10.15468/dl.5w4fd9
title: Occurrence Download

description: A dataset containing 6150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neolitsea sericea (Blume) Koidz."
 ]
}

 The dataset includes 6150 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023068-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14038588
title: Dataset for "Influence on micro-geometry and surface characteristics of laser powder bed fusion built 17-4 PH miniature spur gears in laser shock peening"

description: The dataset represents the experimental data for publication "Influence on micro-geometry and surface characteristics of laser powder bed fusion built 17-4 PH miniature spur gears in laser shock peening".
DOI: 10.5281/zenodo.14038589
title: Dataset for "Influence on micro-geometry and surface characteristics of laser powder bed fusion built 17-4 PH miniature spur gears in laser shock peening"

description: The dataset represents the experimental data for publication "Influence on micro-geometry and surface characteristics of laser powder bed fusion built 17-4 PH miniature spur gears in laser shock peening".
DOI: 10.15468/dl.59g6xe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12192138","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023073-241024112534372/datasets/export for details.
DOI: 10.15468/dl.74z896
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12192123","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023072-241024112534372/datasets/export for details.
DOI: 10.15468/dl.zu8jj9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"12192418","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023074-241024112534372/datasets/export for details.
DOI: 10.6084/m9.figshare.22820534
title: PowerGraph

description: We have created a comprehensive graph dataset that models power flow (PF), optimal power flow (OPF), and cascading failure events in power systems. To generate the dataset for PF and OPF, we utilized MATPOWER, and for the cascading failure events, we employed a physics-based cascading failure model called Cascades. This model simulates the propagation of failures within a power grid, resulting in unmet demand (DNS). Each power grid state is represented as a graph, where buses (including loads and generators) form the nodes and branches (including transmission lines and transformers) form the edges.For PF and OPF, we treat the problem as a regression task to predict electrical quantities at the node level. In contrast, for cascading failure analysis, we assign graph-level labels based on the outcomes of the physics-based model. This dual approach allows our dataset to support a variety of tasks, including node regression, graph-level multi-class classification, binary classification, and regression. Additionally, we provide ground-truth explanations for the cascading failure analysis, enabling our dataset to serve as a benchmark for evaluating GNN explainability models in graph-level tasks.<br>The PF and OPF dataset is in 'dataset_pf_opf' for the IEEE24, IEEE39, UK, IEEE118 and Texas bus systemsThe Cascading failure dataset is in 'dataset_cascades' for the IEEE24, IEEE39, UK, and IEEE118 bus systems. The raw Cascading failures dataset for the Texas dataset is in 'raw.7z'.<br>
DOI: 10.6084/m9.figshare.22820534.v4
title: PowerGraph

description: We have created a comprehensive graph dataset that models power flow (PF), optimal power flow (OPF), and cascading failure events in power systems. To generate the dataset for PF and OPF, we utilized MATPOWER, and for the cascading failure events, we employed a physics-based cascading failure model called Cascades. This model simulates the propagation of failures within a power grid, resulting in unmet demand (DNS). Each power grid state is represented as a graph, where buses (including loads and generators) form the nodes and branches (including transmission lines and transformers) form the edges.For PF and OPF, we treat the problem as a regression task to predict electrical quantities at the node level. In contrast, for cascading failure analysis, we assign graph-level labels based on the outcomes of the physics-based model. This dual approach allows our dataset to support a variety of tasks, including node regression, graph-level multi-class classification, binary classification, and regression. Additionally, we provide ground-truth explanations for the cascading failure analysis, enabling our dataset to serve as a benchmark for evaluating GNN explainability models in graph-level tasks.<br>The PF and OPF dataset is in 'dataset_pf_opf' for the IEEE24, IEEE39, UK, and IEEE118 bus systemsThe Cascading failure dataset is in 'dataset_cascades' for the IEEE24, IEEE39, UK, and IEEE118 bus systems.
DOI: 10.15468/dl.vt2amq
title: Occurrence Download

description: A dataset containing 205314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "Year 2000-2024"
 ]
}

 The dataset includes 205314 records from 606 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023037-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfedd2
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Corydoras elegans Steindachner, 1876"
 ]
}

 The dataset includes 160 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052242-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75dq8f
title: Occurrence Download

description: A dataset containing 27968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphyrna lewini (Griffith & Smith, 1834)"
 ]
}

 The dataset includes 27968 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052240-240626123714530/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.26503696
title: CODING ON CONSTRAINTS LIMITING EFFECTIVENESS OF EXTENSION AGENT.sav

description: Climate-smart agricultural practices play a crucial role in achieving national food security and development goals, and the significance of extension agents in this endeavor is invaluable. In view of this, this study investigated the constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices to rice farmers in North-central, Nigeria. The study specifically examined the socioeconomic characteristics of the extension agents, the dissemination pathways employed by them, constraints limiting the extension agents from effectively disseminating climate-smart agricultural practices, and the factors that influence their constraints. Data for the study were collected using a well-structured questionnaire administered to a total of 88 respondents selected through a multistage sampling procedure. Data analysis was done using descriptive statistics and Pearson product-moment correlation. The result showed that the respondents had a mean age of 48 years, the majority were males (93.2%), married (95.5%), and (85.2%) had tertiary education. Dissemination pathway/ method mostly used by the extension were; farm and home visits (𝑥̅ = 1.73), result demonstration (𝑥̅ = 1.66), and methods demonstration (𝑥̅ = 1.58). The constraints impeding the extension agents in disseminating CSA practices were; insufficient number of extension workers to provide services for a large number of farmers (𝑥̅ = 1.87), lack of incentives for staff motivation (𝑥̅ = 1.83), inadequate means of transportation (𝑥̅ = 1.83), were ranked 1st,2nd, and 3rd respectively. There was a negative significant correlation (p=0.05) between the number of training and personal constraints, as well as institutional constraints (p=0.017) in the dissemination of climate-smart agricultural practices. Therefore, it is recommended that extension agents receive periodic training and incentives such as awards, cash rewards, promotions, and staff recognition from government bodies to enhance their performance.
DOI: 10.6084/m9.figshare.26503696.v1
title: CODING ON CONSTRAINTS LIMITING EFFECTIVENESS OF EXTENSION AGENT.sav

description: Climate-smart agricultural practices play a crucial role in achieving national food security and development goals, and the significance of extension agents in this endeavor is invaluable. In view of this, this study investigated the constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices to rice farmers in North-central, Nigeria. The study specifically examined the socioeconomic characteristics of the extension agents, the dissemination pathways employed by them, constraints limiting the extension agents from effectively disseminating climate-smart agricultural practices, and the factors that influence their constraints. Data for the study were collected using a well-structured questionnaire administered to a total of 88 respondents selected through a multistage sampling procedure. Data analysis was done using descriptive statistics and Pearson product-moment correlation. The result showed that the respondents had a mean age of 48 years, the majority were males (93.2%), married (95.5%), and (85.2%) had tertiary education. Dissemination pathway/ method mostly used by the extension were; farm and home visits (𝑥̅ = 1.73), result demonstration (𝑥̅ = 1.66), and methods demonstration (𝑥̅ = 1.58). The constraints impeding the extension agents in disseminating CSA practices were; insufficient number of extension workers to provide services for a large number of farmers (𝑥̅ = 1.87), lack of incentives for staff motivation (𝑥̅ = 1.83), inadequate means of transportation (𝑥̅ = 1.83), were ranked 1st,2nd, and 3rd respectively. There was a negative significant correlation (p=0.05) between the number of training and personal constraints, as well as institutional constraints (p=0.017) in the dissemination of climate-smart agricultural practices. Therefore, it is recommended that extension agents receive periodic training and incentives such as awards, cash rewards, promotions, and staff recognition from government bodies to enhance their performance.
DOI: 10.6084/m9.figshare.26504227
title: Integrin receptor-targeted, doxorubicin-loaded cerium oxide nanoparticles delivery to combat glioblastoma

description: <b>Aim:</b> To assess the chemo-immunomodulatory effects of doxorubicin-loaded cerium oxide nanoparticles coated with oleyl amine-linked cyclic RGDfK peptide (CeNP+Dox+RGD) to target both gliomas and its tumor microenvironment (TME) via integrin receptors. <b>Materials & methods:</b> CeNP+Dox+RGD nanoparticles are synthesized by the sequential addition of cerium III chloride heptahydrate, beta-cyclodextrin, oleic acid, and F127 micelle (CeNP). Doxorubicin was then loaded into CeNPs and coated with oleyl amine-linked cyclic RGDfK peptide to form stable CeNP+Dox+RGD nanoparticles. <b>Results:</b> CeNP+Dox+RGD nanoparticles crossed blood–brain barrier (BBB) effectively and demonstrated threefold enhanced survivability in glioma-bearing mice. The IHC profiling of glial tumor cross-sections showed increased CD80 expression (M1 TAMs) and decreased arginase-1 expression (M2 TAMs). <b>Conclusion:</b> CeNP+Dox+RGD can be an immunotherapeutic treatment option to combat glioblastoma. The complexity of the brain's blood–brain barrier and the cross-talk between gliomas with their surrounding tumor microenvironment (TME) often impact the effectiveness of conventional regimens for glioblastoma (GBM) treatment. Doxorubicin (Dox) loaded cerium oxide nanoparticles (CeNPs) coated with oleyl amine-linked cyclic RGDfK peptide (CeNP+Dox+RGD) were synthesized to target both the gliomas and its TME. The first study was to evaluate both the anticancer properties and immunomodulatory effects of CeNP+Dox+RGD nanoparticles via integrin receptors in the orthotopic glioma model in mice. The functionalization of nanoparticles with RGD peptide facilitated their translocation across the blood–brain barrier successfully. A three-fold increase in the survivability of mice with CeNP+Dox+RGD treatment was observed compared with control and other treated groups in the orthotopic mice glioma models. Increased expression of CD80 marker associated with anticancer M1 phenotype of tumor-associated macrophages (TAMs) with CeNP+Dox+RGD treatment. Decreased expression of Arginase-1 marker associated with recruitment of immunosuppressive M2 phenotype TAMs in orthotopic glioma model in mice. CeNP+Dox+RGD treatment can enhance the current immunotherapeutic strategies to combat gliomas via integrin receptors.