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

description: A dataset containing 11460 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 41.89415215079384
 AND decimallatitude &lt;= 46.479780028101516
 AND decimallongitude &gt;= 77.9229717807129
 AND decimallongitude &lt;= 88.12157328514692
 AND GBIF_Within('POLYGON ((88.121573 41.894152, 88.121573 46.479780, 77.922972 46.479780, 77.922972 41.894152, 88.121573 41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 11460 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002466-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fumxcf
title: Occurrence Download

description: A dataset containing 3241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida calycina"
 ]
}

 The dataset includes 3241 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002488-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18544965
title: METHODS FOR DEVELOPING GRAMMATICAL COMPETENCE IN B1 LEVEL STUDENTS

description: This article examines effective methods for developing grammatical competence in B1 level English as a Foreign Language (EFL) students. Grammatical competence is a core component of communicative competence and plays a crucial role in enabling learners to produce accurate and meaningful language. At the B1 level, learners are expected to use a range of grammatical structures with a reasonable degree of control in both spoken and written communication. The study analyzes theoretical perspectives on grammar teaching and explores practical, learner-centered methods such as communicative grammar instruction, task-based learning, inductive and deductive approaches, contextualized grammar teaching, and the use of formative assessment. The article follows the IMRAD structure and aims to provide methodological guidance for English language teachers working with intermediate-level learners.
DOI: 10.5281/zenodo.18544964
title: METHODS FOR DEVELOPING GRAMMATICAL COMPETENCE IN B1 LEVEL STUDENTS

description: This article examines effective methods for developing grammatical competence in B1 level English as a Foreign Language (EFL) students. Grammatical competence is a core component of communicative competence and plays a crucial role in enabling learners to produce accurate and meaningful language. At the B1 level, learners are expected to use a range of grammatical structures with a reasonable degree of control in both spoken and written communication. The study analyzes theoretical perspectives on grammar teaching and explores practical, learner-centered methods such as communicative grammar instruction, task-based learning, inductive and deductive approaches, contextualized grammar teaching, and the use of formative assessment. The article follows the IMRAD structure and aims to provide methodological guidance for English language teachers working with intermediate-level learners.
DOI: 10.15468/dl.fycgm9
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer laurinum",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 311 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002489-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9paxek
title: Occurrence Download

description: A dataset containing 1333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphanamixis polystachya",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1333 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002490-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfd9gt
title: Occurrence Download

description: A dataset containing 2243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida caput-medusae"
 ]
}

 The dataset includes 2243 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002491-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ss/8znm0j
title: Interview with Laurent Sozzani, Amsterdam, 14 January 2026

description: As part of the course Oral History, Laurent Sozzani, private conservator, was interviewed about the course of his career.
description: Interview conducted in the context of the course Oral History and Artwork Life Stories at the University at Amsterdam, an elective as part of the Conservation and Restoration of Cultural Heritage training programme.
DOI: 10.5519/qd.l0h95m80
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.794cpg
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Miliusa dioeca"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002494-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4earh
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida chinensis"
 ]
}

 The dataset includes 97 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002495-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu7rjv
title: Occurrence Download

description: A dataset containing 1528458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.205495 43.5241, 4.205125 43.53433, 4.204018 43.54452, 4.202177 43.55466, 4.199605 43.56471, 4.196312 43.57465, 4.192305 43.58445, 4.187595 43.59409, 4.182196 43.60353, 4.176121 43.61275, 4.169389 43.62172, 4.162017 43.63043, 4.154026 43.63885, 4.145437 43.64695, 4.136274 43.65471, 4.126561 43.66211, 4.116327 43.66914, 4.105598 43.67577, 4.094405 43.68198, 4.082777 43.68776, 4.070747 43.69309, 4.058348 43.69796, 4.045613 43.70235, 4.032578 43.70625, 4.019278 43.70966, 4.00575 43.71255, 3.992031 43.71493, 3.978158 43.71679, 3.96417 43.71812, 3.950104 43.71892, 3.936 43.71919, 3.921896 43.71892, 3.90783 43.71812, 3.893842 43.71679, 3.879969 43.71493, 3.86625 43.71255, 3.852722 43.70966, 3.839422 43.70625, 3.826387 43.70235, 3.813652 43.69796, 3.801253 43.69309, 3.789223 43.68776, 3.777595 43.68198, 3.766402 43.67577, 3.755673 43.66914, 3.745439 43.66211, 3.735726 43.65471, 3.726563 43.64695, 3.717974 43.63885, 3.709983 43.63043, 3.702611 43.62172, 3.695879 43.61275, 3.689804 43.60353, 3.684405 43.59409, 3.679695 43.58445, 3.675688 43.57465, 3.672395 43.56471, 3.669823 43.55466, 3.667982 43.54452, 3.666875 43.53433, 3.666505 43.5241, 3.666875 43.51387, 3.667982 43.50367, 3.669823 43.49352, 3.672395 43.48346, 3.675688 43.4735, 3.679695 43.46369, 3.684405 43.45403, 3.689804 43.44457, 3.695879 43.43532, 3.702611 43.42632, 3.709983 43.41758, 3.717974 43.40913, 3.726563 43.401, 3.735726 43.39321, 3.745439 43.38577, 3.755673 43.37871, 3.766402 43.37205, 3.777595 43.36581, 3.789223 43.36, 3.801253 43.35464, 3.813652 43.34974, 3.826387 43.34532, 3.839422 43.3414, 3.852722 43.33797, 3.86625 43.33506, 3.879969 43.33266, 3.893842 43.33079, 3.90783 43.32945, 3.921896 43.32865, 3.936 43.32838, 3.950104 43.32865, 3.96417 43.32945, 3.978158 43.33079, 3.992031 43.33266, 4.00575 43.33506, 4.019278 43.33797, 4.032578 43.3414, 4.045613 43.34532, 4.058348 43.34974, 4.070747 43.35464, 4.082777 43.36, 4.094405 43.36581, 4.105598 43.37205, 4.116327 43.37871, 4.126561 43.38577, 4.136274 43.39321, 4.145437 43.401, 4.154026 43.40913, 4.162017 43.41758, 4.169389 43.42632, 4.176121 43.43532, 4.182196 43.44457, 4.187595 43.45403, 4.192305 43.46369, 4.196312 43.4735, 4.199605 43.48346, 4.202177 43.49352, 4.204018 43.50367, 4.205125 43.51387, 4.205495 43.5241))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1528458 records from 1050 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002448-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18545091
title: PRE-COMPETITION PSYCHOLOGICAL STATE OF ATHLETES (PRE-COMPETITION PSYCHOLOGY)

description: This article is devoted to the study of athletes' psychological state before competition, particularly pre-competition anxiety, emotional state, cognitive appraisal processes, and coping mechanisms. Pre-competition psychology is considered as a factor that directly affects athletic performance. Research findings indicate that moderate levels of anxiety, when properly managed, become facilitative by improving focus and increasing motivation, whereas excessive anxiety negatively impacts results. The article discusses types of anxiety, differences by gender and experience, the most effective psychological preparation methods, and practical recommendations for coaches.
DOI: 10.5281/zenodo.18545090
title: PRE-COMPETITION PSYCHOLOGICAL STATE OF ATHLETES (PRE-COMPETITION PSYCHOLOGY)

description: This article is devoted to the study of athletes' psychological state before competition, particularly pre-competition anxiety, emotional state, cognitive appraisal processes, and coping mechanisms. Pre-competition psychology is considered as a factor that directly affects athletic performance. Research findings indicate that moderate levels of anxiety, when properly managed, become facilitative by improving focus and increasing motivation, whereas excessive anxiety negatively impacts results. The article discusses types of anxiety, differences by gender and experience, the most effective psychological preparation methods, and practical recommendations for coaches.
DOI: 10.15468/dl.rgztuk
title: Occurrence Download

description: A dataset containing 129122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((129.98028 0.02337,130.15581 -0.76651,129.61667 -0.97963,129.50383 -2.05752,130.65733 -2.38326,131.73561 -2.32063,132.34998 -1.95727,132.33744 -1.05485,132.37506 -0.12709,131.4347 0.32428,130.66987 0.41205,130.00535 0.26159,130.28119 0.08606,129.98028 0.02337))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 129122 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002454-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j42ute
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ardisia javanica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002497-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgdk7h
title: Occurrence Download

description: A dataset containing 1492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Aristida congesta"
 ]
}

 The dataset includes 1492 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002498-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rveeu
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Salicornia meyeriana",
 "Year 1904-2026"
 ]
}

 The dataset includes 159 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002496-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/e9b1ff9f-a3a9-40b3-a088-775e1bcaaa1e
title: Data supporting: "CM-Net: A general machine learning architecture for predicting mechanical properties of cellular materials"

description: Our project aims to construct​ a general machine learning architecture to predict the mechanical properties of cellular materials, which helps researchers design specialized configurations tailored to their specific demands. In this project, we focus on the out-of-plane mechanical performances​ of thin-walled structures—such as tubes and honeycombs—that exhibit significant nonlinear behavior due to plasticity, buckling, and frictional contact. The dataset comprises over 30,000 thin-walled structures constituted​ from various metal materials.<strong>Train and validation set (.npy format).</strong> Complete architectural database of thin-walled structures for training<strong>​ </strong>and validation of CM-Net, including basic geometric units, adjacency matrices, and labels.<strong>Test set</strong> <strong>(.npy format).</strong> Complete architectural database of thin-walled structures for testing the interpolation and extrapolation capabilities​ of CM-Net.<strong>The dataset is intended for reviews of potential publications and should not be cited or used before public publication.</strong>
DOI: 10.4121/e9b1ff9f-a3a9-40b3-a088-775e1bcaaa1e.v1
title: Data supporting: "CM-Net: A general machine learning architecture for predicting mechanical properties of cellular materials"

description: Our project aims to construct​ a general machine learning architecture to predict the mechanical properties of cellular materials, which helps researchers design specialized configurations tailored to their specific demands. In this project, we focus on the out-of-plane mechanical performances​ of thin-walled structures—such as tubes and honeycombs—that exhibit significant nonlinear behavior due to plasticity, buckling, and frictional contact. The dataset comprises over 30,000 thin-walled structures constituted​ from various metal materials.<strong>Train and validation set (.npy format).</strong> Complete architectural database of thin-walled structures for training<strong>​ </strong>and validation of CM-Net, including basic geometric units, adjacency matrices, and labels.<strong>Test set</strong> <strong>(.npy format).</strong> Complete architectural database of thin-walled structures for testing the interpolation and extrapolation capabilities​ of CM-Net.<strong>The dataset is intended for reviews of potential publications and should not be cited or used before public publication.</strong>
DOI: 10.15468/dl.zfsvqz
title: Occurrence Download

description: A dataset containing 46918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polypodium interjectum"
 ]
}

 The dataset includes 46918 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002499-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17319407
title: (14)-Strobl2025A-DS0041 – SLICE-1 – Tribolium castaneum AGOC{ATub'Actin°NB-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2

description: (14)-Strobl2025A-DS0041 – SLICE-1 – Tribolium castaneum AGOC{ATub'Actin°NB-mEmerald} #2 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2
DOI: 10.15468/dl.x2r56z
title: Occurrence Download

description: A dataset containing 5677 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
 occurrence.countrycode = 'BN'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2001 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND 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 5677 records were derived from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008358-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfq24b
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycale magnirhaphidifera",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008372-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.118148
title: Research Data supporting "Bright triplet and bright charge-separated singlet excitons in organic diradicals enable optical read and write of spin states"

description: Dataset to support the paper "Bright triplet and bright charge-separated singlet excitons in organic diradicals enable optical read and write of spin states". Please see the uploaded file "dataset_description" for more details about this dataset
DOI: 10.15156/bio/sh0166625.10fu
title: SH0166625.10FU

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/sh0166626.10fu
title: SH0166626.10FU

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.