cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6737e5
title: Occurrence Download

description: A dataset containing 9687 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hakea sericea Schrad. & J.C.Wendl."
 ]
}

 The dataset includes 9687 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059857-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9fc56
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malapterurus occidentalis Norris, 2002",
 "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 ((-14.7171 9.7812,-14.3187 9.5898,-14.2104 9.1249,-13.7977 8.9257,-13.7337 7.9638,-13.4184 7.2755,-11.9937 6.6556,-10.564 5.6507,-9.2618 4.5335,-7.8618 3.9537,-7.8618 11.0599,-16.8618 11.0599,-16.8618 10.97,-15.9189 10.4022,-15.4168 10.48,-14.7171 9.7812))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059859-250525065834625/datasets/export for details.
DOI: 10.15468/dl.hwxv8u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippodonta hungarica (Grunow) Lange-Bertalot, Metzeltin & Witkowski",
 "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 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059858-250525065834625/datasets/export for details.
DOI: 10.15468/dl.exbdrv
title: Occurrence Download

description: A dataset containing 4648441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 1980-2024"
 ]
}

 The dataset includes 4648441 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059843-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15705169
title: Test code --zipped files

description: Check that I can download from zipped
DOI: 10.5281/zenodo.15705170
title: Test code --zipped files

description: Check that I can download from zipped
DOI: 10.48656/c1sn-wa38
title: PolarIs4CAUS
DOI: 10.48656/g07p-nq64
title: PolarIs4CAUS
DOI: 10.25403/upresearchdata.29370308
title: Participants experiences with teaching online and implementing the CAPS policy document in an online teaching environment

description: Fourteen participants from 5 different schools who taught mathematics during the COVID-19 pandemic in an online teaching and learning mode were interviewed. Semi-structured interviews were conducted to establish to what extent the participants were able to continue implementing the Mathematics CAPS policy document in an online teaching and learning environment.
DOI: 10.25403/upresearchdata.29370308.v1
title: Participants experiences with teaching online and implementing the CAPS policy document in an online teaching environment

description: Fourteen participants from 5 different schools who taught mathematics during the COVID-19 pandemic in an online teaching and learning mode were interviewed. Semi-structured interviews were conducted to establish to what extent the participants were able to continue implementing the Mathematics CAPS policy document in an online teaching and learning environment.
DOI: 10.15468/dl.rtb9dw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malapterurus occidentalis Norris, 2002",
 "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 ((-16.9807 11.2818,-16.9054 11.0599,-16.8618 11.0599,-16.8618 11.7189,-16.9807 11.2818))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059861-250525065834625/datasets/export for details.
DOI: 10.15468/dl.j4nkqz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippodonta hungarica (Grunow) Lange-Bertalot, Metzeltin & Witkowski",
 "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 ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059860-250525065834625/datasets/export for details.
DOI: 10.15468/dl.7w7usy
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.35_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Potentilla purpurea (Royle) Hook.fil."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059862-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f65y8v
title: Occurrence Download

description: A dataset containing 10305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Andrena cineraria (Linnaeus, 1758)",
 "Year 1000-2024"
 ]
}

 The dataset includes 10305 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059863-250525065834625/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.29370701
title: Dataset of field observations in rainfall interception (I<sub>R</sub>_mm) and the ratio of rainfall interception to rainfall<i> (I</i><sub><em>R</em></sub><i>/P_</i>%) across Chinese forests

description: A total of 247 field observations of rainfall interception from more then two hundred peer review publihsed studies were collected and compiled across Chinese forests.
DOI: 10.6084/m9.figshare.29370701.v1
title: Dataset of field observations in rainfall interception (I<sub>R</sub>_mm) and the ratio of rainfall interception to rainfall<i> (I</i><sub><em>R</em></sub><i>/P_</i>%) across Chinese forests

description: A total of 247 field observations of rainfall interception from more then two hundred peer review publihsed studies were collected and compiled across Chinese forests.
DOI: 10.15468/dl.3hbbjc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippodonta hungarica (Grunow) Lange-Bertalot, Metzeltin & Witkowski",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059864-250525065834625/datasets/export for details.
DOI: 10.15468/dl.83mpym
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malapterurus occidentalis Norris, 2002",
 "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 ((-17.18 12.1194,-16.8618 11.8636,-16.8618 16.9131,-16.9262 16.7412,-17.0293 15.9092,-17.4711 15.2969,-17.9089 15.085,-18.0432 14.7429,-17.8486 14.3198,-17.2612 13.8841,-17.2879 12.4225,-17.18 12.1194))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059865-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15133345
title: Look Up table with Embeddings - UniProt - 2025 - Non Computational annotations

description: This PostgreSQL database contains structured information extracted from the UniProt API (retrieved in April 2025). It includes:





126,582 proteins




123,518 sequences




494.072 embeddings generated with ProtT5, ProSTT5, ESM2, Ankh




623,134 GO term annotations (with evidence codes: EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC)




Associated biological metadata



The data was extracted using the protein-information-system repository and is used within the FANTASIA pipeline for automated functional annotation of protein sequences.

The following UniProt API filter was applied to retrieve annotations:https://www.uniprot.org/uniprotkb?query=%28+go_exp%3A*+OR+go_ida%3A*+OR+go_ipi%3A*+OR+go_imp%3A*+OR+go_igi%3A*+OR+go_iep%3A*+OR+go_tas%3A*+OR+go_ic%3A*%29To ensure embedding reproducibility, all sequences were processed with batch size = 1, avoiding discrepancies caused by padding artifacts common in PLMs like ProtT5.

To initialize the database, either of the following methods can be used:

Option 1: Using pg_restore

pg_restore -U usuario -h localhost -p 5432 -d BioData ./BioData_backup_2025_hq.tar


Option 2: Using the FANTASIA CLI

fantasia initialize --embeddings_url https://zenodo.org/records/15704357/files/PIS_2025_ankh_exp.tar?download=1

Notes:
DOI: 10.5281/zenodo.15705162
title: Look Up table with Embeddings - UniProt - 2025 - Non Computational annotations

description: This PostgreSQL database contains structured information extracted from the UniProt API (retrieved in April 2025). It includes:





126,582 proteins




123,518 sequences




494.072 embeddings generated with ProtT5, ProSTT5, ESM2, Ankh




623,134 GO term annotations (with evidence codes: EXP, IDA, IPI, IMP, IGI, IEP, TAS, IC)




Associated biological metadata



The data was extracted using the protein-information-system repository and is used within the FANTASIA pipeline for automated functional annotation of protein sequences.

The following UniProt API filter was applied to retrieve annotations:https://www.uniprot.org/uniprotkb?query=%28+go_exp%3A*+OR+go_ida%3A*+OR+go_ipi%3A*+OR+go_imp%3A*+OR+go_igi%3A*+OR+go_iep%3A*+OR+go_tas%3A*+OR+go_ic%3A*%29To ensure embedding reproducibility, all sequences were processed with batch size = 1, avoiding discrepancies caused by padding artifacts common in PLMs like ProtT5.

To initialize the database, either of the following methods can be used:

Option 1: Using pg_restore

pg_restore -U usuario -h localhost -p 5432 -d BioData ./BioData_backup_2025_hq.tar


Option 2: Using the FANTASIA CLI

fantasia initialize --embeddings_url https://zenodo.org/records/15704357/files/PIS_2025_ankh_exp.tar?download=1

Notes:
DOI: 10.5281/zenodo.15697391
title: Stokes drag on a sphere in a three-dimensional anisotropic porous medium [data set]

description: C++ code to compute the Green's functions in an anisotropic Brinkman-Debye-Bueche medium (green.cc)

Drag coefficients of a sphere in an anisotropic BDB medium as a function of kappa_parallel and kappa_perpendicular, obtained using the BEMLIB prtcl_3d solver (C. Pozrikidis) with 512 or 2048 boundary elements. 

See publication:

Stokes drag on a sphere in a three-dimensional anisotropic porous mediumAndrej Vilfan, Bogdan Cichocki, Jeffrey C. Everts

https://doi.org/10.48550/arXiv.2504.19517
DOI: 10.5281/zenodo.15697392
title: Stokes drag on a sphere in a three-dimensional anisotropic porous medium [data set]

description: C++ code to compute the Green's functions in an anisotropic Brinkman-Debye-Bueche medium (green.cc)

Drag coefficients of a sphere in an anisotropic BDB medium as a function of kappa_parallel and kappa_perpendicular, obtained using the BEMLIB prtcl_3d solver (C. Pozrikidis) with 512 or 2048 boundary elements. 

See publication:

Stokes drag on a sphere in a three-dimensional anisotropic porous mediumAndrej Vilfan, Bogdan Cichocki, Jeffrey C. Everts

https://doi.org/10.48550/arXiv.2504.19517
DOI: 10.5281/zenodo.15705144
title: jbladant/ORCA2-demonstrator: ORCA2-demonstrator

description: NEMO Zoo Hackathon 2025
DOI: 10.5281/zenodo.15703707
title: Chinese Seasonal 10m Resolution Coastline from 2018 to 2025

description: This dataset covers the 10m resolution coastline of China from 2018 to 2025. In the coastline folder, 2018 represents the coastline extracted from the median synthesis of 2018 scale Sentinel images. 2019-1 represents the coastline extracted from the seasonal Sentinel median composite images of January, February, and March 2019. 2019-2 represents April, May, and June, 2019-3 represents July, August, and September, 2019-4 represents October, November, and December, and so on. 2025 represents the coastline extracted from the seasonal Sentinel median composite images for January, February, and March 2025.
DOI: 10.5281/zenodo.15703708
title: Chinese Seasonal 10m Resolution Coastline from 2018 to 2025

description: This dataset covers the 10m resolution coastline of China from 2018 to 2025. In the coastline folder, 2018 represents the coastline extracted from the median synthesis of 2018 scale Sentinel images. 2019-1 represents the coastline extracted from the seasonal Sentinel median composite images of January, February, and March 2019. 2019-2 represents April, May, and June, 2019-3 represents July, August, and September, 2019-4 represents October, November, and December, and so on. 2025 represents the coastline extracted from the seasonal Sentinel median composite images for January, February, and March 2025.
DOI: 10.3886/e233641
title: AI LİTERACY OF SOCİAL STUDİES TECAHER CANDİTATES

description: This
study uses a multidimensional lens to examine social studies teachers' perceptions
and competencies regarding artificial intelligence, encompassing ethics,
awareness, use, and evaluation. A descriptive survey design was used to collect
data from 176 teacher candidates enrolled in a social studies education program
at a Turkish university. The descriptive analysis revealed that, while the
candidates' artificial intelligence literacy levels were moderate, their
evaluation levels were the highest (mean: 4.63), and their usage levels were
the lowest (mean: 4.30). The correlational analysis revealed that the
dimensions of awareness, ethics, usage, and evaluation are significantly
related to each other. A significant relationship was found between teacher
candidates' artificial intelligence literacy usage and evaluation dimension levels
and the gender variable (p=0.03). However, no significant relationships were
found between AI
literacy (p = 0.07) or
ethics (p = 0.13) and gender. A significant relationship was found between
teacher candidates' artificial intelligence literacy usage, evaluation, and
ethics dimension levels and their class level. However, no significant
relationship was found between AI literacy awareness and the class variable
(p=0.08).
The study recommends incorporating AI-focused modules into teacher education
curricula that emphasize hands-on workshops, ethical case discussions, and
collaborative interdisciplinary education. The implications
for policy and future longitudinal research are discussed.
description: The items are rated on a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). Items 1–3 measure awareness; items 4–6 measure usage; items 7–9 measure evaluation; and items 10–12 measure ethics (Wang et al., 2022).
description: Response Rates: %90
description: Presence of Common Scales: Artificial Intelligence Literacy Scale: The artificial intelligence literacy scale was developed by Wang et al. (2022, 2023). The Turkish adaptation of the scale was carried out by Çelebi et al. (2023). The scale consists of 12 items and comprises four subdimensions: awareness, use, evaluation, and ethics. The items are rated on a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). Items 1–3 measure awareness; items 4–6 measure usage; items 7–9 measure evaluation; and items 10–12 measure ethics (Wang et al., 2022).
description: Social Studies Teachers
description: Teacher Candidates, Social Studies Candidates. Smallest Geographic Unit: Diyarbakır, Turkey
description: face-to-face interview; on-site questionnaire; paper and pencil interview (PAPI);
DOI: 10.3886/e233641v1
title: AI LİTERACY OF SOCİAL STUDİES TECAHER CANDİTATES

description: This
study uses a multidimensional lens to examine social studies teachers' perceptions
and competencies regarding artificial intelligence, encompassing ethics,
awareness, use, and evaluation. A descriptive survey design was used to collect
data from 176 teacher candidates enrolled in a social studies education program
at a Turkish university. The descriptive analysis revealed that, while the
candidates' artificial intelligence literacy levels were moderate, their
evaluation levels were the highest (mean: 4.63), and their usage levels were
the lowest (mean: 4.30). The correlational analysis revealed that the
dimensions of awareness, ethics, usage, and evaluation are significantly
related to each other. A significant relationship was found between teacher
candidates' artificial intelligence literacy usage and evaluation dimension levels
and the gender variable (p=0.03). However, no significant relationships were
found between AI
literacy (p = 0.07) or
ethics (p = 0.13) and gender. A significant relationship was found between
teacher candidates' artificial intelligence literacy usage, evaluation, and
ethics dimension levels and their class level. However, no significant
relationship was found between AI literacy awareness and the class variable
(p=0.08).
The study recommends incorporating AI-focused modules into teacher education
curricula that emphasize hands-on workshops, ethical case discussions, and
collaborative interdisciplinary education. The implications
for policy and future longitudinal research are discussed.
description: The items are rated on a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). Items 1–3 measure awareness; items 4–6 measure usage; items 7–9 measure evaluation; and items 10–12 measure ethics (Wang et al., 2022).
description: Response Rates: %90
description: Presence of Common Scales: Artificial Intelligence Literacy Scale: The artificial intelligence literacy scale was developed by Wang et al. (2022, 2023). The Turkish adaptation of the scale was carried out by Çelebi et al. (2023). The scale consists of 12 items and comprises four subdimensions: awareness, use, evaluation, and ethics. The items are rated on a seven-point Likert scale ranging from 1 (strongly disagree) to 7 (strongly agree). Items 1–3 measure awareness; items 4–6 measure usage; items 7–9 measure evaluation; and items 10–12 measure ethics (Wang et al., 2022).
description: Social Studies Teachers
description: Teacher Candidates, Social Studies Candidates. Smallest Geographic Unit: Diyarbakır, Turkey
description: face-to-face interview; on-site questionnaire; paper and pencil interview (PAPI);
DOI: 10.15468/dl.zeb62x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malapterurus occidentalis Norris, 2002",
 "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 ((-17.0425 19.3358,-16.8618 19.0648,-16.8618 20.0599,-16.9237 20.0599,-17.0425 19.3358))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059868-250525065834625/datasets/export for details.
DOI: 10.15468/dl.m3ndhn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hippodonta hungarica (Grunow) Lange-Bertalot, Metzeltin & Witkowski",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059867-250525065834625/datasets/export for details.
DOI: 10.34810/data2401
title: Replication Data for "Effects of Caffeine Ingestion on the Biomechanics of Healthy Young Subjects", running study.

description: Anonymized participant-level datasets for the running variables of the project "Effects of Caffeine Ingestion on the Biomechanics of Healthy Young Subjects" (NCT06039358). The purpose of the dataset is to provide FAIR data on the impact of caffeine on performance and technique while running in different variables. Each variable can be found on a different sheet of the Excel document. There are 14 subjects per variable, and each of them is analyzed in a control, placebo, and caffeine session, with and without fatigue.