cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14993059
title: DEVELOPMENT  OF A TEACHER'S PROFESSIONAL CAREER:  survey results of students at higher education institutions (FAIR data)

description: The purpose of the survey among 1260 students of higher education institutions who choose the profession of teacher was to identify topical issues of preparing future teachers for professional career development. The survey collected data on the importance of various aspects of professional development, career planning, self-presentation, use of digital technologies, psychological readiness for change, as well as the need for internships and leadership skills.

The results showed that students pay the most attention to the development of pedagogical skills, digital competencies, as well as psychological and communication skills. Practical experience and familiarity with modern educational trends, such as STEM education and inclusive education, play an important role in the training of future teachers. In addition, a significant number of respondents expressed a desire to acquire additional skills in career planning and digital platforms for professional development.

In terms of practical experience, students expressed interest in internships that allow them to gain real work experience in the educational process and prepare for changes in their profession. The overwhelming majority of respondents plan to continue their studies or upgrade their qualifications after graduation.

These results indicate the need to develop specialised courses that will focus on the development of comprehensive professional skills of future teachers and prepare them for a successful career in a changing educational environment.
DOI: 10.5281/zenodo.14993060
title: DEVELOPMENT  OF A TEACHER'S PROFESSIONAL CAREER:  survey results of students at higher education institutions (FAIR data)

description: The purpose of the survey among 1260 students of higher education institutions who choose the profession of teacher was to identify topical issues of preparing future teachers for professional career development. The survey collected data on the importance of various aspects of professional development, career planning, self-presentation, use of digital technologies, psychological readiness for change, as well as the need for internships and leadership skills.

The results showed that students pay the most attention to the development of pedagogical skills, digital competencies, as well as psychological and communication skills. Practical experience and familiarity with modern educational trends, such as STEM education and inclusive education, play an important role in the training of future teachers. In addition, a significant number of respondents expressed a desire to acquire additional skills in career planning and digital platforms for professional development.

In terms of practical experience, students expressed interest in internships that allow them to gain real work experience in the educational process and prepare for changes in their profession. The overwhelming majority of respondents plan to continue their studies or upgrade their qualifications after graduation.

These results indicate the need to develop specialised courses that will focus on the development of comprehensive professional skills of future teachers and prepare them for a successful career in a changing educational environment.
DOI: 10.15468/dl.6m8yw7
title: Occurrence Download

description: A dataset containing 20206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana punctata L."
 ]
}

 The dataset includes 20206 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008677-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgw4v6
title: Occurrence Download

description: A dataset containing 16746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ipomoea cairica (L.) Sweet)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 16746 records from 278 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008772-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ay2fg
title: Occurrence Download

description: A dataset containing 982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lycopus lucidus Turcz. ex Benth."
 ]
}

 The dataset includes 982 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005433-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1061065.10fu
title: SH1061065.10FU

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/sh1061066.10fu
title: SH1061066.10FU

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/sh1061068.10fu
title: SH1061068.10FU

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/sh1061077.10fu
title: SH1061077.10FU

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/sh1061078.10fu
title: SH1061078.10FU

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/sh1061079.10fu
title: SH1061079.10FU

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.34vmjq
title: Occurrence Download

description: A dataset containing 5528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetrao urogallus aquitanicus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5528 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058701-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkphjh
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Thryothorus ludovicianus albinucha"
 ]
}

 The dataset includes 238 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052906-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25525/kba-fdzon.faerz.2022.3
title: Zugang in das Fahreignungsregister 2022 (On-Site)
DOI: 10.15468/dl.q89yrt
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Thryothorus ludovicianus lomitensis"
 ]
}

 The dataset includes 292 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052907-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17423228
title: data for "Multivalent linkers mediated ultra-sensitive bio-detection"

description: In biosensing and diagnostic applications, a key objective is to design detection systems capable of identifying targets at very low concentrations, i.e., achieving high sensitivity. Here, we propose a linker-mediated detection scheme in which the presence of multivalent target molecules (linkers) facilitates the adsorption of ligand-coated guest nanoparticles onto a receptor-coated host substrate. Through a combination of computer simulations and mean-field theory, we demonstrate that, at fixed overall binding strength, increasing the valency of linkers exponentially lowers the concentration threshold for detection.This counterintuitive behavior arises from the combinatorial entropy associated with multivalent binding configurations, which tremendously amplifies the adsorption sensitivity and enables the identification of targets at extremely low concentrations. Our findings highlight multivalency engineering of linkers as a powerful strategy to substantially enhance the sensitivity of biodetection systems.

 

 
description: Here, we provide the dataset for fig2 and fig3. For the file names, 'th' means theoretical results and 'sim' denotes simulation results.
DOI: 10.5281/zenodo.17426124
title: data for "Multivalent linkers mediated ultra-sensitive bio-detection"

description: In biosensing and diagnostic applications, a key objective is to design detection systems capable of identifying targets at very low concentrations, i.e., achieving high sensitivity. Here, we propose a linker-mediated detection scheme in which the presence of multivalent target molecules (linkers) facilitates the adsorption of ligand-coated guest nanoparticles onto a receptor-coated host substrate. Through a combination of computer simulations and mean-field theory, we demonstrate that, at fixed overall binding strength, increasing the valency of linkers exponentially lowers the concentration threshold for detection.This counterintuitive behavior arises from the combinatorial entropy associated with multivalent binding configurations, which tremendously amplifies the adsorption sensitivity and enables the identification of targets at extremely low concentrations. Our findings highlight multivalency engineering of linkers as a powerful strategy to substantially enhance the sensitivity of biodetection systems.

 

 
description: Here, we provide the dataset for fig2 and fig3. For the file names, 'th' means theoretical results and 'sim' denotes simulation results.
DOI: 10.25525/kba-fdzon.faerz.2021.4
title: Zugang in das Fahreignungsregister 2021 (On-Site)
DOI: 10.15468/dl.w2v5cg
title: Occurrence Download

description: A dataset containing 24831174 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 24831174 records were derived from 62085 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052856-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzr6be
title: Occurrence Download

description: A dataset containing 1610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 11.6121708802934",
 "DecimalLongitude is less than 11.6152304334778",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1610 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012914-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwdk2f
title: Occurrence Download

description: A dataset containing 122925 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal",
 "Country is Greece",
 "Country is France",
 "Country is Italy",
 "Country is Slovenia",
 "Country is Croatia",
 "Country is Montenegro",
 "Country is Albania",
 "Country is North Macedonia",
 "Country is Cyprus"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Juniperus oxycedrus L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 122925 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005277-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r69dx8
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Trigonobalanus verticillata Forman"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110827-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvj9xb
title: Occurrence Download

description: A dataset containing 1151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 12.2607961553851",
 "DecimalLongitude is less than 12.2638557085695",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1151 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013963-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjiswk
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ischnocnema venancioi (Lutz, 1958)"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022328-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9mqfv
title: Occurrence Download

description: A dataset containing 19929 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global compendium of Aedes aegypti occurrence"
 ]
}

 The dataset includes 19929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134444-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dnyyx
title: Occurrence Download

description: A dataset containing 3029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 12.2852725808603",
 "DecimalLongitude is less than 12.2883321340447",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 3029 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013974-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmfvon
title: Occurrence Download

description: A dataset containing 2214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Vultur gryphus Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2214 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011290-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.