cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z8vtyp
title: Occurrence Download

description: A dataset containing 800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sinopodophyllum hexandrum (Royle) T.S.Ying"
 ]
}

 The dataset includes 800 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046119-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwafra
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046120-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15648448
title: Anonymized Student Performance Data from Two Linear Algebra Courses Using STACK at the University of Trieste (2023/24)

description:  

📄 Dataset Description: STACK-Integrated Assessment in Linear Algebra Courses

This dataset contains anonymized student performance records from two first-year Linear Algebra courses within the Engineering BSc program at the University of Trieste, Italy. The data spans two academic years, capturing student outcomes before and after the introduction of the STACK e-assessment system.

📅 Academic Years Covered:





2022/23 (Pre-STACK): Before the integration of STACK.




2023/24 (Post-STACK): After STACK was introduced in both courses (Course A and Course B).



In addition to exam performance data, we include STACK Moodle quiz analytics for the 2023/24 academic year.



🔒 Note: In accordance with university policy, only the final grades of students who passed the exam are recorded. As such, all datasets include only students who scored 18 or higher (out of 30).




📁 Files Included




Filename
Description




anonymized_Lin_Alg_course_A_preSTACK.csv
Course A exam scores before STACK was implemented.


anonymized_Lin_Alg_course_B_preSTACK.csv
Course B exam scores before STACK was implemented.


combined_Lin_Alg_course_A_postSTACK.csv
Course A exam scores after STACK integration, with quiz metrics.


combined_Lin_Alg_course_B_postSTACK.csv
Course B exam scores after STACK integration, with quiz metrics.


anonymized_STACK_quiz_data_CourseA.csv
Moodle-exported STACK quiz attempt data for Course A.


anonymized_STACK_quiz_data_CourseB.csv
Moodle-exported STACK quiz attempt data for Course B.






🧩 Variables in the Exam Score Files




Variable
Description




student_ID
A randomly generated, anonymized ID for each student. The ID format encodes the course and whether the record is from the Pre- or Post-STACK period. Example: studentID023_COURSE_A_POSTSTACK


final_exam_grade
Final exam score (0–30). Only includes students who passed (≥18).




Additional Variables in Post-STACK Datasets:




Variable
Description




num_quiz_submissions
Total number of STACK quiz submissions made by the student.


quiz_submission_variability
Variance in the relative timing of quiz submissions. Lower values indicate more consistent engagement.


avg_quiz_score
Average score across all STACK quizzes.


cat_total_score
Sum of best scores per quiz, representing the student's STACK-based Continuous Assessment Test (CAT) total.






🧮 Variables in Moodle STACK Quiz Data

The Moodle quiz files (anonymized_STACK_quiz_data_CourseA.csv, CourseB.csv) contain row-level quiz attempt records.




Variable
Description




student_ID
Anonymized ID linked to the exam data.


quizID
Identifier for the specific STACK quiz.


Started on
Timestamp when the student began the quiz.


Completed
Timestamp when the quiz was submitted.


Time taken
Time between start and submission (e.g., "11 days 22 hours").


Grade/10.00
The student’s score on the quiz, out of 10.
DOI: 10.5281/zenodo.15663630
title: Anonymized Student Performance Data from Two Linear Algebra Courses Using STACK at the University of Trieste (2023/24)

description:  

📄 Dataset Description: STACK-Integrated Assessment in Linear Algebra Courses

This dataset contains anonymized student performance records from two first-year Linear Algebra courses within the Engineering BSc program at the University of Trieste, Italy. The data spans two academic years, capturing student outcomes before and after the introduction of the STACK e-assessment system.

📅 Academic Years Covered:





2022/23 (Pre-STACK): Before the integration of STACK.




2023/24 (Post-STACK): After STACK was introduced in both courses (Course A and Course B).



In addition to exam performance data, we include STACK Moodle quiz analytics for the 2023/24 academic year.



🔒 Note: In accordance with university policy, only the final grades of students who passed the exam are recorded. As such, all datasets include only students who scored 18 or higher (out of 30).




📁 Files Included




Filename
Description




anonymized_Lin_Alg_course_A_preSTACK.csv
Course A exam scores before STACK was implemented.


anonymized_Lin_Alg_course_B_preSTACK.csv
Course B exam scores before STACK was implemented.


combined_Lin_Alg_course_A_postSTACK.csv
Course A exam scores after STACK integration, with quiz metrics.


combined_Lin_Alg_course_B_postSTACK.csv
Course B exam scores after STACK integration, with quiz metrics.


anonymized_STACK_quiz_data_CourseA.csv
Moodle-exported STACK quiz attempt data for Course A.


anonymized_STACK_quiz_data_CourseB.csv
Moodle-exported STACK quiz attempt data for Course B.






🧩 Variables in the Exam Score Files




Variable
Description




student_ID
A randomly generated, anonymized ID for each student. The ID format encodes the course and whether the record is from the Pre- or Post-STACK period. Example: studentID023_COURSE_A_POSTSTACK


final_exam_grade
Final exam score (0–30). Only includes students who passed (≥18).




Additional Variables in Post-STACK Datasets:




Variable
Description




num_quiz_submissions
Total number of STACK quiz submissions made by the student.


quiz_submission_variability
Variance in the relative timing of quiz submissions. Lower values indicate more consistent engagement.


avg_quiz_score
Average score across all STACK quizzes.


cat_total_score
Sum of best scores per quiz, representing the student's STACK-based Continuous Assessment Test (CAT) total.






🧮 Variables in Moodle STACK Quiz Data

The Moodle quiz files (anonymized_STACK_quiz_data_CourseA.csv, CourseB.csv) contain row-level quiz attempt records.




Variable
Description




student_ID
Anonymized ID linked to the exam data.


quizID
Identifier for the specific STACK quiz.


Started on
Timestamp when the student began the quiz.


Completed
Timestamp when the quiz was submitted.


Time taken
Time between start and submission (e.g., "11 days 22 hours").


Grade/10.00
The student’s score on the quiz, out of 10.
DOI: 10.15468/dl.ed9agr
title: Occurrence Download

description: A dataset containing 51780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 "DatasetKey is one of (SHARK - National environmental monitoring of Grey seal in Sweden since 1989, NABU|naturgucker, Seal Observation Database (NRM), Observation.org, Nature data from around the World, SHARK - National marine environmental monitoring of Ringed seal in Sweden since 1995, iNaturalist Research-grade Observations, Porpoise Observation Database (NRM), Swedish Bird Survey: Fixed routes (Standardrutterna), SHARK - National environmental monitoring of Harbour seal in Sweden since 1988)",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 51780 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046116-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jbhw9
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046121-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rvw5q
title: Occurrence Download

description: A dataset containing 50833900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "License is CC-BY 4.0",
 "Month is May",
 "Year 2022-2023"
 ]
}

 The dataset includes 50833900 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046112-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkn3gh
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046122-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgsbvq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046124-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tpap9
title: Occurrence Download

description: A dataset containing 34429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-77.5 -70.5,-55 -70.5,-55 -60,-77.5 -60,-77.5 -70.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (December, January, February, March)",
 "OccurrenceStatus is Present",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)",
 "Year 2003-2025"
 ]
}

 The dataset includes 34429 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046125-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38f6kr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046126-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9fjzj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046127-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15663701
title: Smart Immune-Evasive AI Nanobot for Systemic Cancer and Viral Eradication with Regenerative Capabilities Version 2

description: This research presents a theoretical model of a smart, AI-powered nanobot designed to navigate the human body, detect cancerous or viral cells, and deliver targeted therapy without triggering an immune response. The nanobot features regenerative capabilities by releasing tissue-repairing factors and uses patient-derived membrane camouflage to evade immune detection. This concept aims to revolutionize medicine by combining real-time diagnosis, precise treatment, and tissue regeneration in a single autonomous platform.
DOI: 10.5281/zenodo.15663702
title: Smart Immune-Evasive AI Nanobot for Systemic Cancer and Viral Eradication with Regenerative Capabilities Version 2

description: This research presents a theoretical model of a smart, AI-powered nanobot designed to navigate the human body, detect cancerous or viral cells, and deliver targeted therapy without triggering an immune response. The nanobot features regenerative capabilities by releasing tissue-repairing factors and uses patient-derived membrane camouflage to evade immune detection. This concept aims to revolutionize medicine by combining real-time diagnosis, precise treatment, and tissue regeneration in a single autonomous platform.
DOI: 10.15468/dl.wnsur4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046128-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mrpu53
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is one of (An Extended dataset of registration points of species listed in Resolution 6 and 4 of the Bern Convention, Records of vascular plants, mosses and lichens at the former arable fields different ages and virgine steppe in within Askania-Nova Biosphere Reserve and in its buffer zone, Materials of the herbarium of the Falz-Fein Biosphere Reserve “Askania Nova” of National Academy of Agrarian Sciences of Ukraine, Records of vascular plants, bryophytes and lichens from Ukrainian Grassland Database, The LILIOPSIDA of Herbarium named after prof. B.M. Kozo-Polyansky VSU)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bellevalia sarmatica (Pall. ex Miscz.) Woronow"
 ]
}

 The dataset includes 420 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046129-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ure9wy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046130-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15663220
title: Raw 16S rRNA Illumina FASTQ Data from a Golden Lion Tamarin Microbiota Study on the Effects of Higher Dietary Fibre

description: This dataset contains raw paired-end 16S rRNA gene sequencing data (FASTQ files) generated from a study investigating the impact of increased dietary fibre on the faecal microbiome of golden lion tamarins (Leontopithecus rosalia) housed at Adelaide Zoo, South Australia. The research assessed microbial changes before and after a higher dietary fibre intervention.

 

DNA was extracted using the QIAamp DNA Stool Kit (Qiagen). The sequencing was performed on the Illumina MiSeq platform, targeting the V3–V4 region of the bacterial 16S rRNA gene (2 × 300 bp, V3 chemistry). Sequencing carried out at the South Australian Genomics Centre, South Australian Health & Medical Research Institute (SAHMRI).

 

These data support the manuscript:

Higher dietary fibre increases the faecal microbiome diversity of golden lion tamarins (Leontopithecus rosalia), submitted to Animals (MDPI), manuscript ID: animals-3685841.

 

This dataset was used for microbiota composition analysis, taxonomic profiling, and uncovering the microbial community shifts in response to higher fibre dietary intervention in golden lion tamarins (Leontopithecus rosalia).

The dataset includes:

90 paired-end FASTQ files (45 samples × 2 reads) from golden lion tamarins collected with and without the high fibre dietary intervention

2 paired-end FASTQ files from a negative (blank) control sample (1 water control × 2 reads) used to monitor contamination during sequencing

Metadata file (CSV) containing sample ID, animal ID, diet group (high fibre on/off), and sex
DOI: 10.5281/zenodo.15663221
title: Raw 16S rRNA Illumina FASTQ Data from a Golden Lion Tamarin Microbiota Study on the Effects of Higher Dietary Fibre

description: This dataset contains raw paired-end 16S rRNA gene sequencing data (FASTQ files) generated from a study investigating the impact of increased dietary fibre on the faecal microbiome of golden lion tamarins (Leontopithecus rosalia) housed at Adelaide Zoo, South Australia. The research assessed microbial changes before and after a higher dietary fibre intervention.

 

DNA was extracted using the QIAamp DNA Stool Kit (Qiagen). The sequencing was performed on the Illumina MiSeq platform, targeting the V3–V4 region of the bacterial 16S rRNA gene (2 × 300 bp, V3 chemistry). Sequencing carried out at the South Australian Genomics Centre, South Australian Health & Medical Research Institute (SAHMRI).

 

These data support the manuscript:

Higher dietary fibre increases the faecal microbiome diversity of golden lion tamarins (Leontopithecus rosalia), submitted to Animals (MDPI), manuscript ID: animals-3685841.

 

This dataset was used for microbiota composition analysis, taxonomic profiling, and uncovering the microbial community shifts in response to higher fibre dietary intervention in golden lion tamarins (Leontopithecus rosalia).

The dataset includes:

90 paired-end FASTQ files (45 samples × 2 reads) from golden lion tamarins collected with and without the high fibre dietary intervention

2 paired-end FASTQ files from a negative (blank) control sample (1 water control × 2 reads) used to monitor contamination during sequencing

Metadata file (CSV) containing sample ID, animal ID, diet group (high fibre on/off), and sex
DOI: 10.15468/dl.zarw8f
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Denekia capensis Thunb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046132-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.