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

description: A dataset containing 4492 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triturus carnifex (Laurenti, 1768)"
 ]
}

 The dataset includes 4492 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030003-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pm3ac
title: Occurrence Download

description: A dataset containing 17779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-81.75712 7.65619,-81.84811 7.59857,-81.89967 7.50606,-81.89967 7.48635,-81.82612 7.38323,-81.76622 7.34987,-81.67751 7.31803,-81.63353 7.30741,-81.58349 7.31727,-81.58453 7.39424,-81.64594 7.41698,-81.71342 7.45034,-81.70205 7.4875,-81.66793 7.50114,-81.66414 7.54512,-81.69371 7.55725,-81.70584 7.5982,-81.71039 7.62473,-81.72859 7.64748,-81.75712 7.65619))"
 ]
}

 The dataset includes 17779 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030004-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wj4hp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Anoplophora glabripennis",
 "HasCoordinate is true",
 "Year is 2000,2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030005-241126133413365/datasets/export for details.
DOI: 10.15468/dl.d5dg26
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Anoplophora glabripennis",
 "HasCoordinate is true",
 "Year is 2000,2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030006-241126133413365/datasets/export for details.
DOI: 10.15468/za1pvg
title: Coleção de Herpetofauna do Museu de Ciências Univates

description: A coleção herpetológica do Museu de Ciências Naturais da Universidade do Vale do Taquari - Univates é composta por espécies nativas do Bioma Mata Atlântica, ocorrentes na região central do estado do Rio Grande do Sul, Brasil. Atualmente a coleção é constituída por 1.098 espécimes, distribuídos em 21 famílias, 42 gêneros e 49 espécies.
DOI: 10.15468/dl.ufahtc
title: Occurrence Download

description: A dataset containing 527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-81.08716 7.58923,-81.16313 7.56129,-81.21618 7.52707,-81.25228 7.50855,-81.2639 7.48375,-81.24403 7.479,-81.23439 7.47685,-81.18447 7.4803,-81.1512 7.5164,-81.11824 7.53492,-81.08841 7.52331,-81.06236 7.53147,-81.04038 7.55533,-81.03034 7.57071,-81.03505 7.5773,-81.04855 7.58327,-81.06299 7.58358,-81.08716 7.58923))"
 ]
}

 The dataset includes 527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030007-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s34ctr
title: Occurrence Download

description: A dataset containing 4492 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Triturus carnifex (Laurenti, 1768)"
 ]
}

 The dataset includes 4492 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030008-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjcbp2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Anoplophora glabripennis",
 "HasCoordinate is true",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030009-241126133413365/datasets/export for details.
DOI: 10.15468/dl.aqvjua
title: Occurrence Download

description: A dataset containing 12079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paratrechina longicornis (Latreille, 1802)"
 ]
}

 The dataset includes 12079 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030010-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3syz3f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Anoplophora glabripennis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030011-241126133413365/datasets/export for details.
DOI: 10.15468/dl.fx4g6s
title: Occurrence Download

description: A dataset containing 9835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Inga vera Willd."
 ]
}

 The dataset includes 9835 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030012-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctdks5
title: Occurrence Download

description: A dataset containing 14062 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 5e7bebbd-7e03-48fc-a9b9-2beaf8b59ebc"
 ]
}

 The dataset includes 14062 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030013-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bf9cu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoplophora glabripennis (Motschulsky, 1854)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030014-241126133413365/datasets/export for details.
DOI: 10.15468/dl.gkscgw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoplophora glabripennis (Motschulsky, 1854)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030015-241126133413365/datasets/export for details.
DOI: 10.15468/dl.qat4ej
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-82.32759 8.14065,-82.34506 8.13652,-82.35585 8.12209,-82.36932 8.10862,-82.36641 8.08861,-82.34166 8.0846,-82.33402 8.09443,-82.32468 8.09564,-82.31158 8.10547,-82.31958 8.11699,-82.32334 8.12682,-82.31825 8.13276,-82.31509 8.13761,-82.3174 8.14356,-82.32759 8.14065))"
 ]
}

 The dataset includes 289 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030016-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.astx32
title: Occurrence Download

description: A dataset containing 36274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 36274 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030017-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up6utb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoplophora glabripennis (Motschulsky, 1854)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030018-241126133413365/datasets/export for details.
DOI: 10.15468/dl.ydyj8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anoplophora glabripennis (Motschulsky, 1854)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030020-241126133413365/datasets/export for details.
DOI: 10.15468/dl.buzaep
title: Occurrence Download

description: A dataset containing 3890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plumbago zeylanica L."
 ]
}

 The dataset includes 3890 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030021-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14386653
title: IMPROVED ARITHMETIC PERFORMANCE WHEN DIGITALLY TRAINING SPATIAL ABILITIES DURING THE MATHEMATICS CLASS

description: This dataset includes sixth-grade students' mathematical and spatial reasoning scores and originates from a preliminary study exploring how digital spatial thinking training can enhance students' performance in various areas of the mathematics curriculum. This study was accepted and presented at the 15th International Congress on Mathematical Education (ICME 15) in Sydney on the 8th of July 2024.

Abstract:

Previous studies on digital spatial training exhibited mixed results in enhancing students’ mathematics performance. However, these studies trained one specific spatial skill. In this study, we investigated the effects of a broader digital spatial training on students’ performance across curriculum-based mathematical topics. Following a pre-post quasi-experimental design, 2nd grade students of a middle school in Austria participated in the study. Students in the experimental classes received spatial training during their mathematics class through the online platform RIF3.0 (Raum Intelligenz Förderung - Promotion of Spatial Intelligence); while students in the control group attended their regular mathematics classes. We assessed students’ mathematics skills through arithmetical, place value, geometry, and word problemsolving tasks. We found that the intervention group significantly improved their performance in arithmetical tasks. These preliminary findings suggest that broad digital spatial training via the RIF3.0 platform might be an effective spatial training tool for educators seeking to support their students' arithmetic performance.
description: Variable Descriptions

Participant Information

Group: Indicates the experimental group of the participant ("Control" = control group, "Inter" = Intervention group).Gender: Participant's gender ("m" = male, "f" =female).Age: Participant's age (in years).Math_grade: Participant's self-reported mathematics grade (integer, "1" = highest grade, "5" = lowest grade).Hand: Participant's dominant hand ("l" =left, "r" = right).

Participant Scores

The following prefixes are used for participant scores:MT1_: Scores from Mathematical Task Battery pre-intervention.MT2_: Scores from Mathematical Task Battery post-intervention.- PV: Place value task.- AR: Arithmetical task.- GE: Geometrical task.- WP: Word Problem task.*Each task includes specific subtasks, denoted by suffixes. For example, "MT1_PV2" represents the raw score in the second Place Value task in the Mathematical Task battery before the intervention.SRI1_: Scores from Spatial Reasoning pre-intervention.SRI2_: Scores from Spatial Reasoning post-intervention.- MR: Mental Rotation task.- SO: Spatial Orientation task.- SV: Spatial Visualisation task.*Each task includes specific subtasks, denoted by suffixes. For example, "SRI2_MR1" represents the raw score in the first Mental Rotation task of the Spatial Reasoning Instrument after the intervention.

Summary Statistics

_Sum: Total raw score._Perc: Percentage of the total score.
DOI: 10.5281/zenodo.14386654
title: IMPROVED ARITHMETIC PERFORMANCE WHEN DIGITALLY TRAINING SPATIAL ABILITIES DURING THE MATHEMATICS CLASS

description: This dataset includes sixth-grade students' mathematical and spatial reasoning scores and originates from a preliminary study exploring how digital spatial thinking training can enhance students' performance in various areas of the mathematics curriculum. This study was accepted and presented at the 15th International Congress on Mathematical Education (ICME 15) in Sydney on the 8th of July 2024.

Abstract:

Previous studies on digital spatial training exhibited mixed results in enhancing students’ mathematics performance. However, these studies trained one specific spatial skill. In this study, we investigated the effects of a broader digital spatial training on students’ performance across curriculum-based mathematical topics. Following a pre-post quasi-experimental design, 2nd grade students of a middle school in Austria participated in the study. Students in the experimental classes received spatial training during their mathematics class through the online platform RIF3.0 (Raum Intelligenz Förderung - Promotion of Spatial Intelligence); while students in the control group attended their regular mathematics classes. We assessed students’ mathematics skills through arithmetical, place value, geometry, and word problemsolving tasks. We found that the intervention group significantly improved their performance in arithmetical tasks. These preliminary findings suggest that broad digital spatial training via the RIF3.0 platform might be an effective spatial training tool for educators seeking to support their students' arithmetic performance.
description: Variable Descriptions

Participant Information

Group: Indicates the experimental group of the participant ("Control" = control group, "Inter" = Intervention group).Gender: Participant's gender ("m" = male, "f" =female).Age: Participant's age (in years).Math_grade: Participant's self-reported mathematics grade (integer, "1" = highest grade, "5" = lowest grade).Hand: Participant's dominant hand ("l" =left, "r" = right).

Participant Scores

The following prefixes are used for participant scores:MT1_: Scores from Mathematical Task Battery pre-intervention.MT2_: Scores from Mathematical Task Battery post-intervention.- PV: Place value task.- AR: Arithmetical task.- GE: Geometrical task.- WP: Word Problem task.*Each task includes specific subtasks, denoted by suffixes. For example, "MT1_PV2" represents the raw score in the second Place Value task in the Mathematical Task battery before the intervention.SRI1_: Scores from Spatial Reasoning pre-intervention.SRI2_: Scores from Spatial Reasoning post-intervention.- MR: Mental Rotation task.- SO: Spatial Orientation task.- SV: Spatial Visualisation task.*Each task includes specific subtasks, denoted by suffixes. For example, "SRI2_MR1" represents the raw score in the first Mental Rotation task of the Spatial Reasoning Instrument after the intervention.

Summary Statistics

_Sum: Total raw score._Perc: Percentage of the total score.
DOI: 10.15468/dl.ksm9d3
title: Occurrence Download

description: A dataset containing 2240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pluvianellus socialis G.R.Gray, 1846"
 ]
}

 The dataset includes 2240 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030023-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27175734
title: Apis cerana japonica transcript data, transcript sequence data, predicted amino acid sequence data, functional annotation data.

description: Apis cerana japonica transcript data (ref_transcript_Ac.gtf), transcript sequence data (ref_transcript_Ac.fa), predicted amino acid sequence data (ref_transcript_Ac_pep) and functional annotation data (fuctional_annotation_transcript_Ac).
DOI: 10.6084/m9.figshare.27175734.v1
title: Apis cerana japonica transcript data, transcript sequence data, predicted amino acid sequence data, functional annotation data.

description: Apis cerana japonica transcript data (ref_transcript_Ac.gtf), transcript sequence data (ref_transcript_Ac.fa), predicted amino acid sequence data (ref_transcript_Ac_pep) and functional annotation data (fuctional_annotation_transcript_Ac).
DOI: 10.6084/m9.figshare.27175941
title: Kallisto output files

description: kallisto output files of A. mellifera and A. cerana japonica.
DOI: 10.15468/dl.mvu3fc
title: Occurrence Download

description: A dataset containing 5343 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kigelia africana (Lam.) Benth."
 ]
}

 The dataset includes 5343 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030024-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14387974
title: Comparative Analysis of Artificial Intelligence Platforms: GPT-4 and Google Gemini in Answering Questions about Birth Control Methods

description: AbstractBackground: Birth control methods (BCMs) are often underutilized or misunderstood, especially among young individuals entering their reproductive years. With the growing reliance on artificial intelligence (AI) platforms for health-related information, this study evaluates the performance of GPT-4 (OpenAI, San Francisco, CA, USA) and Google Gemini (Google, Mountain View, CA, USA) in addressing commonly asked questions about BCMs.Methods: Thirty questions, derived from the American College of Obstetrics and Gynecologists website, were posed to both AI platforms. Questions spanned four categories: general contraception, specific contraceptive types, emergency contraception, and other topics. Responses were evaluated using a 5-point rubric assessing accuracy, completeness, and lack of false information. Overall scores were calculated by averaging the rubric scores. Statistical analysis, including the Wilcoxon signed-rank and Kruskal-Wallis tests, was performed to compare performance metrics.Results: ChatGPT and Google Gemini both provided high-quality responses, with overall scores averaging 4.38 ± 0.58 and 4.37 ± 0.52, respectively, categorized as "excellent." ChatGPT outperformed in reducing false information (4.70 ± 0.60 vs. 4.47 ± 0.73), while Google Gemini excelled in accuracy (4.53 ± 0.57 vs. 4.30 ± 0.70). Completeness scores were comparable. No significant differences were found in overall performance (p = 0.548), though Google Gemini showed a significant edge in accuracy (p = 0.035). Both platforms scored consistently across question categories, with no statistically significant differences noted.Conclusions: GPT-4 and Google Gemini provide reliable and accurate responses to BCM-related queries, with slight differences in strengths. These findings underscore the potential of AI tools in addressing public health information needs, particularly for young individuals seeking guidance on contraception. Further studies with larger datasets may elucidate nuanced differences between AI platforms.
DOI: 10.5281/zenodo.14387975
title: Comparative Analysis of Artificial Intelligence Platforms: GPT-4 and Google Gemini in Answering Questions about Birth Control Methods

description: AbstractBackground: Birth control methods (BCMs) are often underutilized or misunderstood, especially among young individuals entering their reproductive years. With the growing reliance on artificial intelligence (AI) platforms for health-related information, this study evaluates the performance of GPT-4 (OpenAI, San Francisco, CA, USA) and Google Gemini (Google, Mountain View, CA, USA) in addressing commonly asked questions about BCMs.Methods: Thirty questions, derived from the American College of Obstetrics and Gynecologists website, were posed to both AI platforms. Questions spanned four categories: general contraception, specific contraceptive types, emergency contraception, and other topics. Responses were evaluated using a 5-point rubric assessing accuracy, completeness, and lack of false information. Overall scores were calculated by averaging the rubric scores. Statistical analysis, including the Wilcoxon signed-rank and Kruskal-Wallis tests, was performed to compare performance metrics.Results: ChatGPT and Google Gemini both provided high-quality responses, with overall scores averaging 4.38 ± 0.58 and 4.37 ± 0.52, respectively, categorized as "excellent." ChatGPT outperformed in reducing false information (4.70 ± 0.60 vs. 4.47 ± 0.73), while Google Gemini excelled in accuracy (4.53 ± 0.57 vs. 4.30 ± 0.70). Completeness scores were comparable. No significant differences were found in overall performance (p = 0.548), though Google Gemini showed a significant edge in accuracy (p = 0.035). Both platforms scored consistently across question categories, with no statistically significant differences noted.Conclusions: GPT-4 and Google Gemini provide reliable and accurate responses to BCM-related queries, with slight differences in strengths. These findings underscore the potential of AI tools in addressing public health information needs, particularly for young individuals seeking guidance on contraception. Further studies with larger datasets may elucidate nuanced differences between AI platforms.
DOI: 10.15468/dl.r7w2er
title: Occurrence Download

description: A dataset containing 362963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Eswatini",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 362963 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030019-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.