cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ba6nvb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Randia pterocarpa Lorence & Dwyer)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017927-250127130748423/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.28359185
title: Site-specific incubations reveal biofilm diversity and functional adaptations in deep, ancient desert aquifers - phyloFlash outputs

description: phyloFlash html files supporting the findings of "Site-specific incubations reveal biofilm diversity and functional adaptations in deep, ancient desert aquifers" by Betzabe Atencio, Stas Malavin, Maxim Rubin-Blum, Roi Ram, Eilon Adar and Zeev Ronen <br>
DOI: 10.5281/zenodo.14824699
title: Rhizophora mangle prop roots epibionts surveys

description: Surveys for year 2013 and 2014 on Rhizophora mangle prop root communites from Key West to Melbourne, Florida.
DOI: 10.15468/dl.aq7m63
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Randia serboi Borhidi & Saynes)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017928-250127130748423/datasets/export for details.
DOI: 10.15468/dl.v5vuwv
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Randia tetracantha (Cav.) DC.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017929-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7rr8d
title: Occurrence Download

description: A dataset containing 1826501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1826501 records from 3733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017914-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/x5xmww
title: A new record of Opisthobranch, Tayuva lilacina (Gould, 1852) and notes on Euselenops luniceps (Cuvier, 1816) from the Andaman Sea, India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Rajendra, S, Nigam, N K, Sivaperuman, C (2022): A new record of Opisthobranch, Tayuva lilacina (Gould, 1852) and notes on Euselenops luniceps (Cuvier, 1816) from the Andaman Sea, India. Indian Journal of Geo Marine Sciences 51 (10): 850-853, DOI: 10.56042/ijms.v51i10.2934, URL: https://www.mendeley.com/catalogue/748fb58d-7986-3589-b078-8aa04610dec0/
DOI: 10.15468/dl.3e8kek
title: Occurrence Download

description: A dataset listing the 180 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of Plecoptera, Trichoptera and Coleoptera from Sierra Nevada"
 ]
}

 The dataset's 180 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001726-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18201243
title: München, Hohenzollern-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.18201244
title: München, Hohenzollern-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: 10.15156/bio/sh0182349.10fu
title: SH0182349.10FU

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/sh0182350.10fu
title: SH0182350.10FU

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.29881866
title: Semantic Time Geography: Bringing Semantic Contexts to Notation System of Time Geography

description: Time geography is a powerful framework. It provides an elegant notation system with a series of well-defined space–time entities and relationships for representing human activity-travel behaviors under various space–time constraints. The classical time-geographical framework focuses on only the geometric 1aspect of activity-travel behaviors in the physical space but ignores semantic information about activity-travel behaviors in the hybrid cyber–physical space (e.g., activity goals, transport modes, and personal emotions and satisfaction). This study proposes a novel framework of semantic time geography by introducing a series of semantically enriched time-geographical entities (e.g., semantic space–time paths, prisms, lifelines, and projects) and relationships (e.g., semantic space–time intersection relationships) in the hybrid cyber–physical space. The proposed framework is implemented by using the relational database and integrated with an existing geographic information systems platform. A new semantic accessibility measure is introduced to illustrate the applicability of the proposed framework. Experimental results demonstrate the capabilities of the introduced entities and relationships for representing, visualizing, querying, and analyzing both space–time and semantic dimensions of human activity-travel behaviors in the hybrid cyber–physical space.
DOI: 10.6084/m9.figshare.29881866.v1
title: Semantic Time Geography: Bringing Semantic Contexts to Notation System of Time Geography

description: Time geography is a powerful framework. It provides an elegant notation system with a series of well-defined space–time entities and relationships for representing human activity-travel behaviors under various space–time constraints. The classical time-geographical framework focuses on only the geometric 1aspect of activity-travel behaviors in the physical space but ignores semantic information about activity-travel behaviors in the hybrid cyber–physical space (e.g., activity goals, transport modes, and personal emotions and satisfaction). This study proposes a novel framework of semantic time geography by introducing a series of semantically enriched time-geographical entities (e.g., semantic space–time paths, prisms, lifelines, and projects) and relationships (e.g., semantic space–time intersection relationships) in the hybrid cyber–physical space. The proposed framework is implemented by using the relational database and integrated with an existing geographic information systems platform. A new semantic accessibility measure is introduced to illustrate the applicability of the proposed framework. Experimental results demonstrate the capabilities of the introduced entities and relationships for representing, visualizing, querying, and analyzing both space–time and semantic dimensions of human activity-travel behaviors in the hybrid cyber–physical space.
DOI: 10.15156/bio/sh0182351.10fu
title: SH0182351.10FU

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/sh0182352.10fu
title: SH0182352.10FU

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: 10.15468/dl.ybnm8j
title: Occurrence Download

description: A dataset containing 3419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus monosperma",
 "HasCoordinate is true",
 "Year is 1900,2026"
 ]
}

 The dataset includes 3419 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001734-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14014190
title: Experimental Data - Physicochemical Properties of 20 Ionic Liquids Prepared by the Carbonate-Based IL (CBILS) Process
DOI: 10.5281/zenodo.14014191
title: Experimental Data - Physicochemical Properties of 20 Ionic Liquids Prepared by the Carbonate-Based IL (CBILS) Process
DOI: 10.5281/zenodo.14099068
title: Experimental Data - Physicochemical Properties of 20 Ionic Liquids Prepared by the Carbonate-Based IL (CBILS) Process
DOI: 10.15468/dl.nnzvpq
title: Occurrence Download

description: A dataset containing 30700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abagrotis alternata Grote, 1864, Acanthomyops claviger (Roger, 1862), Acemya tibialis (Coquillett, 1897), Achipteria coleoptrata (Linnaeus, 1758), Achroia grisella (Fabricius, 1794), Achyra rantalis Guenée, 1854, Acidota crenata (Fabricius, 1792), Acidota quadrata (Zetterstedt, 1838), Acleris chalybeana (Fernald, 1882), Acleris semipurpurana (Kearfott, 1905), Acleris subnivana (Walker, 1863), Gnathacmaeops pratensis (Laicharting, 1784), Acontia tetragona Walker, Acrobasis caryae Grote, 1881, Acrobasis juglandis Le Baron, 1872, Acrobasis kearfottella Dyar, 1905, Acrobasis palliolella Ragonot, 1887, Acrobasis stigmella Dyar, 1908, Acrolophus arcanella Clemens, 1859, Acrolophus mora Grote, 1882, Acrolophus plumifrontella Clemens, 1859, Acrolophus popeanella Clemens, 1859)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-170 27, -56 27, -56 82, -170 82, -170 27))"
 ]
}

 The dataset includes 30700 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010473-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14099113
title: BOSHLANG'ICH SINFLARDA HARAKATLI O'YINLARDAN FOYDALANISH MALAKASINI O'RGANISH
DOI: 10.5281/zenodo.14099114
title: BOSHLANG'ICH SINFLARDA HARAKATLI O'YINLARDAN FOYDALANISH MALAKASINI O'RGANISH
DOI: 10.15468/dl.4zutb9
title: Occurrence Download

description: A dataset containing 252 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides parvifolia (Wall. ex Griseb.) Kuntze"
 ]
}

 The dataset includes 252 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010475-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhsd2s
title: Occurrence Download

description: A dataset containing 3524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus pumila (Pall.) Regel"
 ]
}

 The dataset includes 3524 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010477-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4hmyh
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wasmannia auropunctata (Roger, 1863)",
 "Country is Australia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010478-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20705948v17n2p206
title: Arz Distribution: A Novel One Parameter Model with Bathtub-Shaped Hazard Rate and Application on Covid-19

description: In this paper, a novel one parameter model with bathtub-shaped hazard rate is proposed and called Arz distribution. This distribution is suggested based on the idea of mixture distributions. We investigate several properties of this distribution such as rth moment, moment generating function, skewness, coefficient of variation, kurtosis, index of dispersion, order statistics, Lorenz and Bonferroni curves, Gini index, stochastic ordering, Rényi entropy, mean deviations about mean and median. Also, the survival function, hazard function, mean residual life function, reversed hazard function, and odds function are provided with graphical representation. It is found that the hazard function has a bathtub shape even though the distribution has one parameter. The parameter of the distribution is estimated using maximum likelihood method. Application to COVID-19 data set is presented to show the flexibility of the suggested distribution. The application indicates that the proposed distribution is more flexible than some other competitive distributions in fitting such data.
DOI: 10.15468/dl.3v9jpt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is IDN.31_1",
 "TaxonKey is Felidae"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010479-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20705948v17n2p225
title: The Impact of COVID-19 Pandemic on Online Learning: Perspectives on Online Learning Adoption, Psychological Distress, and Stressors Among University Students and Instructors in Jordan

description: Since the beginning of the COVID-19 epidemic, universities worldwide have taken actions to ensure students' learning continuity and protect their well-being. This study aims to investigate the level of psychological distress and the potential stressors among university students and instructors in Jordan due to the COVID-19 pandemic. To investigate these issues, an online questionnaire was distributed via Google Forms to 120 students and 14 instructors at two public universities in Jordan, followed by descriptive analysis. The survey included demographics, the 10-item Kessler Psychological Distress Scale (K10), and stressors related to online learning. The findings showed significant levels of stress and dissatisfaction among students and instructors due to shift to online learning. About half (51.7%) of the students experienced severe psychological distress, whereas 18.3% experienced no psychological distress, 11.7% experienced mild psychological distress, and another 18.3% displayed moderate psychological distress. In contrast, a significantly higher proportion of instructors 92.9%, experienced severe psychological distress, 7.1% showed moderate psychological distress, and notably, none displayed mild or no distress. The results also revealed that both students and instructors faced particular stressors. Major stressors for students were mainly isolation and lack of social interaction, unexpected transition to online classes, technical issues, using mobile phones to attend classes, lack of access to a computer at home, multiple assignments, frequent quizzes, and lack of flexible deadlines, balancing household chores, limited computer literacy, and uncertainty about academic progress due to limited feedback. Instructors encountered challenges such as adapting to the online teaching, concerns about students' technological abilities, lack of participation, increased workload, difficulty in building and maintaining connections with students, insufficient level of skills and knowledge related to the use of technology, and insufficient training. This study highlights the need for academic institutions and other stakeholders to address these challenges to enhance the online learning environment and support the well-being of both students and instructors.
DOI: 10.15468/dl.rmxjzs
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haliaeetus leucoryphus (Pallas, 1771)",
 "Year 1970-2024"
 ]
}

 The dataset includes 98 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010480-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbv6jh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nymphoides sivarajanii K.T.Joseph"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010481-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i20705948v17n2p255
title: Length-Biased Benrabia Distribution with Applications

description: The idea of weighted distributions is widely used in many fields, for example: medicine, ecology and reliability. They are more significant for modeling data when the base distributions are not proper or fit the data with less competence. Length biased distributions are special cases of the weighted distributions. In this paper, we propose a new generalization of Benrabia distribution, called the length-biased Benrabia distribution. The recommended distribution's various characteristics are deduced and thoroughly explored. Some numerical studies are implemented, they demonstrate that the distribution is skewed to the right with heavier tail than the normal distribution. To estimate the distribution's parameters six methods of estimation are employed. A simulation study is conducted shows that the estimators are approximately unbiased and consistent. Three data sets applications are performed, they show that the suggested distribution has the best fit for these data sets comparing to some competence distributions.