cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kazv94
title: Occurrence Download

description: A dataset containing 7362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Canis lupus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 7362 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003536-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsr6dh
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela eversmanii Lesson, 1827",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003537-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwde2s
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Myonycteris torquata (Dobson, 1878)"
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003538-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1125792
title: Data from a Watching Brief at Topcliffe Road, Sowerby, Thirsk, North Yorkshire, March-April 2023.

description: This collection comprises images, site records and a report from a Watching Brief carried out by Archaeological Project Services at Land off Topcliffe Road, Sowerby, Thirsk, North Yorkshire between March and April 2022. Archaeological monitoring and recording was undertaken on land east of Topcliffe Road, Sowerby, Thirsk, North Yorkshire as the site lay in an area of known archaeology including an Early Bronze Age barrow, c. 290m to the northwest of the site and further Bronze Age and also Iron Age features recorded during archaeological investigations to the immediate north of the site.
DOI: 10.15468/dl.rersu3
title: Occurrence Download

description: A dataset containing 14327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepus timidus Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 14327 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003539-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfnv43
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela lutreola (Linnaeus, 1761)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003540-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdw5ak
title: Occurrence Download

description: A dataset containing 4508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "TaxonKey is Rousettus aegyptiacus (E.Geoffroy, 1810)"
 ]
}

 The dataset includes 4508 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003541-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.235mbf
title: Occurrence Download

description: A dataset containing 14348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "Country is one of (Pakistan, India, Afghanistan, Bangladesh, Sri Lanka, Nepal, Bhutan, Maldives)",
 "OccurrenceStatus is Present",
 "TaxonKey is Beta vulgaris L."
 ]
}

 The dataset includes 14348 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003542-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/27qaxg
title: Honey plants of the Fagana Valley and their rational use

description: Data publication of approximately 202 collection specimens for type of plants: Scutellaria L. - 17; Marrubium L. - 4; Sideritis L. - 4; Lophanthus Benth. - 4; Nepeta L. - 25; Drepanocaryum Pojark. - 10; Lallemantia - 5; Prunella L. - 3; Phlomis L. - 6; Lagochilus Bunge ex Benth. - 14; Salvia L. - 39; Perovskia Kar. - 10; Ziziphora L. - 18; Clinopodium L. - 7; Origanum L. - 18; Thymus L. - 6
DOI: 10.5281/zenodo.14409523
title: Archaeoscape: LiDAR archaeology ML dataset

description: Archaeoscape

We present Archaeoscape, a novel open-access dataset for archaeological research, spanning 888 km² in Cambodia with 31,141 expert-annotated archaeological features from the Angkorian period. Archaeoscape is over four times larger than comparable datasets, and the first ALS archaeology resource with open-access data, annotations, and models. 

This work has been presented at NeurIPS 2024 Track Datasets and Benchmarks as a Spotlight Poster.



arXiv: https://arxiv.org/abs/2412.05203

openreview: https://openreview.net/forum?id=QpF3DFP3Td

website: https://archaeoscape.ai/data/2024/




Description

The 888 km² dataset is split into 23 non-overlapping parcels assigned to:



Training set: 623 km², 16 parcels.

Validation set: 97 km², 3 parcels.

Test set: 168 km², 4 parcels.


It includes high-resolution (0.5m) orthophotos and LiDAR-derived normalized Digital Terrain Models (nDTM), encompassing over 3.5 billion pixels with RGB values, elevation data, and polygonal annotations.

The annotations cover 5 classes:



Temple (827 instances, 0.2% pixels). From monumental complexes to small shrines.

Mound (14,400, 8.6%). Earthen features indicating habitation, embankments, crafting sites.

Hydrology (16,184, 10.4%). Hydro-engineering features like rivers, ponds, canals and reservoirs.

Void (3,145, 2.5%). Ambiguous areas, excluded from evaluation.

Background (78.3%). Regions lacking distinguishable archaeological features.


To protect sensitive archaeological sites, the data is distributed without georeferencing and released through credentialized open access - users must provide their credentials and explicitly agree to the license terms prohibiting re-georeferencing, commercial use, and redistribution.
DOI: 10.5281/zenodo.14409524
title: Archaeoscape: LiDAR archaeology ML dataset

description: Archaeoscape

We present Archaeoscape, a novel open-access dataset for archaeological research, spanning 888 km² in Cambodia with 31,141 expert-annotated archaeological features from the Angkorian period. Archaeoscape is over four times larger than comparable datasets, and the first ALS archaeology resource with open-access data, annotations, and models. 

This work has been presented at NeurIPS 2024 Track Datasets and Benchmarks as a Spotlight Poster.



arXiv: https://arxiv.org/abs/2412.05203

openreview: https://openreview.net/forum?id=QpF3DFP3Td

website: https://archaeoscape.ai/data/2024/




Description

The 888 km² dataset is split into 23 non-overlapping parcels assigned to:



Training set: 623 km², 16 parcels.

Validation set: 97 km², 3 parcels.

Test set: 168 km², 4 parcels.


It includes high-resolution (0.5m) orthophotos and LiDAR-derived normalized Digital Terrain Models (nDTM), encompassing over 3.5 billion pixels with RGB values, elevation data, and polygonal annotations.

The annotations cover 5 classes:



Temple (827 instances, 0.2% pixels). From monumental complexes to small shrines.

Mound (14,400, 8.6%). Earthen features indicating habitation, embankments, crafting sites.

Hydrology (16,184, 10.4%). Hydro-engineering features like rivers, ponds, canals and reservoirs.

Void (3,145, 2.5%). Ambiguous areas, excluded from evaluation.

Background (78.3%). Regions lacking distinguishable archaeological features.


To protect sensitive archaeological sites, the data is distributed without georeferencing and released through credentialized open access - users must provide their credentials and explicitly agree to the license terms prohibiting re-georeferencing, commercial use, and redistribution.
DOI: 10.15468/dl.q2nx27
title: Occurrence Download

description: A dataset containing 22184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteromys volans (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 22184 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003543-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e92ny8
title: Occurrence Download

description: A dataset containing 1001 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galemys pyrenaicus (É.Geoffroy Saint-Hilaire, 1811)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1001 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003544-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14759601
title: Dataset for 'First detection of equatorial plasma bubbles using NavIC'

description: This dataset contains data for the days with observed plasma bubbles with the NavIC system at the IITI station. Data is in .mat format.
DOI: 10.5281/zenodo.14759602
title: Dataset for 'First detection of equatorial plasma bubbles using NavIC'

description: This dataset contains data for the days with observed plasma bubbles with the NavIC system at the IITI station. Data is in .mat format.
DOI: 10.5281/zenodo.14582440
title: Rapport de recherche PILE  sur les performances des élèves de CE2 en langue française
DOI: 10.5281/zenodo.14760850
title: Absolute gravity values measured at Harutayama Observatory, Sakurajima Volcano from 2010 to 2011

description: Two TXT files contain the absolute gravity values measured by the FG5-210 absolute gravimeter at Harutayama Observatory, Sakurajima Volcano, Western Japan from 2010 to 2011. In each file, the 1st and 2nd columns show the year and day (in UTC), respectively, when the gravity value was measured. The 3rd and 4th columns show the reference and residual gravity values, respectively, so the sum of the 3rd and 4th columns gives the measured absolute gravity value, which is the so-called "set gravity" value in the g9 software. The 5th column shows the standard error, which was calculated by dividing the standard deviation by the number of "drop gravity". The 6th column shows the number of "drop gravity" for each set of gravity measurements.

The gravity data were used to discuss the hydrological gravity change at Sakurajima Volcano (Kazama et al., 2014). Kazama et al. (2014) showed the absolute gravity values at 0 cm height from the basement surface in Harutayama Observatory. In contrast, the TXT files in this repository show the absolute gravity values at 130 cm above the basement surface, so you can estimate the absolute gravity value just on the basement surface by adding 3.937 * 130 = 511.81 microGal to the absolute gravity value in the TXT files.
DOI: 10.5281/zenodo.14760851
title: Absolute gravity values measured at Harutayama Observatory, Sakurajima Volcano from 2010 to 2011

description: Two TXT files contain the absolute gravity values measured by the FG5-210 absolute gravimeter at Harutayama Observatory, Sakurajima Volcano, Western Japan from 2010 to 2011. In each file, the 1st and 2nd columns show the year and day (in UTC), respectively, when the gravity value was measured. The 3rd and 4th columns show the reference and residual gravity values, respectively, so the sum of the 3rd and 4th columns gives the measured absolute gravity value, which is the so-called "set gravity" value in the g9 software. The 5th column shows the standard error, which was calculated by dividing the standard deviation by the number of "drop gravity". The 6th column shows the number of "drop gravity" for each set of gravity measurements.

The gravity data were used to discuss the hydrological gravity change at Sakurajima Volcano (Kazama et al., 2014). Kazama et al. (2014) showed the absolute gravity values at 0 cm height from the basement surface in Harutayama Observatory. In contrast, the TXT files in this repository show the absolute gravity values at 130 cm above the basement surface, so you can estimate the absolute gravity value just on the basement surface by adding 3.937 * 130 = 511.81 microGal to the absolute gravity value in the TXT files.
DOI: 10.5281/zenodo.14760970
title: SSH CENTRE - Mini-reports : Focus groups on "Restore our Ocean and Waters by 2030"

description: SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality.

SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages – including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.

 

This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.

 

The aim of the focus groups was to gather citizen's perspectives, their hopes, concerns and ideas related to the Horizon Mission of Restore our Ocean and Waters by 2030. The focus group discussion topics while remaining close to the Mission, avoid specific technical references to allow citizens to contribute based on their differing levels of understanding. As part of the SSH CENTRE project, in total, four focus group series have been conducted relating to Adaptation to Climate Change; Restore our Ocean and Waters by 2030; 100 Climate-Neutral and Smart Cities by 2030; A Soil Deal for Europe.

 

Notes were taken during each focus groups and turned into mini-reports. These mini-reports sum up the essence of the discussion: the participants' main ideas and some interesting quotes.
DOI: 10.5281/zenodo.14760971
title: SSH CENTRE - Mini-reports : Focus groups on "Restore our Ocean and Waters by 2030"

description: SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality.

SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages – including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.

 

This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.

 

The aim of the focus groups was to gather citizen's perspectives, their hopes, concerns and ideas related to the Horizon Mission of Restore our Ocean and Waters by 2030. The focus group discussion topics while remaining close to the Mission, avoid specific technical references to allow citizens to contribute based on their differing levels of understanding. As part of the SSH CENTRE project, in total, four focus group series have been conducted relating to Adaptation to Climate Change; Restore our Ocean and Waters by 2030; 100 Climate-Neutral and Smart Cities by 2030; A Soil Deal for Europe.

 

Notes were taken during each focus groups and turned into mini-reports. These mini-reports sum up the essence of the discussion: the participants' main ideas and some interesting quotes.
DOI: 10.15468/dl.vewsab
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinolophus mehelyi Matschie, 1901",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003545-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601438
title: A new global high resolution model for the tropical ocean using WAVEWATCH III version 7.14 - Simulation output files

description: This dataset contains the simulation output files for WaveWatchIII runs at 4 differents locations using a global, high resolution, unstructured grid. It also contains the stastisical outputs of the models (SG T475, SG ERA5_QC and UG ERA5_QC) vs. satellite comparisons.
DOI: 10.5281/zenodo.14601437
title: A new global high resolution model for the tropical ocean using WAVEWATCH III version 7.14 - Simulation output files

description: This dataset contains the simulation output files for WaveWatchIII runs at 4 differents locations using a global, high resolution, unstructured grid. It also contains the stastisical outputs of the models (SG T475, SG ERA5_QC and UG ERA5_QC) vs. satellite comparisons.
DOI: 10.5281/zenodo.14390278
title: Understanding Regional Filter Lists: Efficacy and Impact

description: The following artifacts are only a part of the needed data. The zip files are first the GitHub repos from each filter list and the data from the runtime analysis. The data belongs to the GitHub repo https://github.com/internet-sicherheit/Understanding-Regional-Filter-Lists-Efficacy-and-Impact-
DOI: 10.5281/zenodo.14390277
title: Understanding Regional Filter Lists: Efficacy and Impact

description: The following artifacts are only a part of the needed data. The zip files are first the GitHub repos from each filter list and the data from the runtime analysis. The data belongs to the GitHub repo https://github.com/internet-sicherheit/Understanding-Regional-Filter-Lists-Efficacy-and-Impact-
DOI: 10.15468/dl.a96fhd
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhinolophus euryale Blasius, 1853",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 967 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003546-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/wjp1qq
title: Data for the publication titled: Boosted hydrogen photogeneration and phenol degradation with TiO₂ modified by Schiff bases

description: Research data that was used to create the publication entitled "Boosted hydrogen photogeneration and phenol degradation with TiO₂ modified by Schiff bases". All necessary information regarding equipment and methodology is available in the Readme files. The .zip files contain source files that can be opened using publicly available document and image processing programs (notes, Microsoft Word/Excel, Libre Office Calc, Photo Gallery, Origin, PAS).
DOI: 10.15468/dl.u8zwxh
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myotis capaccinii (Bonaparte, 1837)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003547-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11657638
title: miRBench datasets
DOI: 10.5281/zenodo.13166445
title: miRBench datasets
DOI: 10.5281/zenodo.14041693
title: miRBench datasets

description: ## Changelog

PhyloP and PhastCons conservation scores for the target gene sequence have been added to the AGO_eCLIP_Manakov2022 datasets as two additional columns - 'gene_phyloP' and' gene_phastCons'. 

Both of new columns contain list of conservation scores rounded to 3 decimal places, one score for each nucelotide in the gene sequence.PhyloP and PhastCons scores were obtained from:



https://hgdownload.cse.ucsc.edu/goldenPath/hg38/phyloP100way/hg38.phyloP100way.bw

https://hgdownload.cse.ucsc.edu/goldenpath/hg38/phastCons100way/hg38.phastCons100way.bw


Downloaded on 15 September 2024.
DOI: 10.15468/dl.pmnjhy
title: Occurrence Download

description: A dataset containing 928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctalus lasiopterus (Schreber, 1780)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 928 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003549-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.