cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.knzm96
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073584-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uubjcc
title: Occurrence Download

description: A dataset containing 1174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia gorge",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 1174 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073585-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18148076
title: A Synthetic Hungarian Dataset for Handwritten Text Recognition (HTR)

description: The generated dataset is inherited from ref below where we use Hungarain Corpus. 

All the dataset are publicly avaliable on HuggingFace platform such as : - 



https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v1_1

https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v2_1

https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v3

https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v4

https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v5

https://huggingface.co/datasets/AlhitawiMohammed22/lines_hu_v7

https://huggingface.co/datasets/AlhitawiMohammed22/words_hu_dict

https://huggingface.co/datasets/AlhitawiMohammed22/HungarianNames


References

Please cite the following if you found the resources in this corpus useful.



Unsupervised Cross-lingual Representation Learning at Scale, Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), p. 8440-8451, July 2020, pdf, bib.

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data, Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, Edouard Grave, Proceedings of the 12th Language Resources and Evaluation Conference (LREC), p. 4003-4012, May 2020, pdf, bib.
DOI: 10.5281/zenodo.18140920
title: Data from Phenocam (PHE) measurements of above-canopy vegetation (hartheim1) at Hartheim Forest Research Site (DE-Har) from 2025-01-01 to 2025-12-31 [RAW]

description: Phenocam images from "hartheim1" at DE-Har separated into near-infrared (NIR) and visible (VIS) for the year 2025. 

Phenocam "hartheim1" shows the view from the main tower at 29.6m height towards N at the ICOS Associate Ecosystem Site DE-Har, Germany recording the phenology and state of the top of the canopy consisting of pinus sylverstris and pinus nigra.
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "hartheim1" (47.9338ºN, 7.5981ºE, 201 m, ICOS ecosystem site code: DE-Har, UFR 6 letter code: HARTHM).

Access to the "hartheim1" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/hartheim1/

Files are organised in sub-directories per year and month of the year.

CREATOR

This work was created by the University of Freiburg, Germany.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The site is operated as part of the Integrated Carbon Observation System (ICOS).

The site and phenocams are operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

Global Phenocam Network
DOI: 10.5281/zenodo.18140921
title: Data from Phenocam (PHE) measurements of above-canopy vegetation (hartheim1) at Hartheim Forest Research Site (DE-Har) from 2025-01-01 to 2025-12-31 [RAW]

description: Phenocam images from "hartheim1" at DE-Har separated into near-infrared (NIR) and visible (VIS) for the year 2025. 

Phenocam "hartheim1" shows the view from the main tower at 29.6m height towards N at the ICOS Associate Ecosystem Site DE-Har, Germany recording the phenology and state of the top of the canopy consisting of pinus sylverstris and pinus nigra.
description: TECHNICAL INFO

Files were submitted and recorded as part of the global Phenocam Network with the site name "hartheim1" (47.9338ºN, 7.5981ºE, 201 m, ICOS ecosystem site code: DE-Har, UFR 6 letter code: HARTHM).

Access to the "hartheim1" phenocam on the global phenocam network through: https://phenocam.nau.edu/webcam/sites/hartheim1/

Files are organised in sub-directories per year and month of the year.

CREATOR

This work was created by the University of Freiburg, Germany.

LICENSE

Creative Commons Attribution 4.0 International. 

Please read the Phenocam Fair Use Policy.

ATTRIBUTION NOTICE

The site is operated as part of the Integrated Carbon Observation System (ICOS).

The site and phenocams are operated by the Chair of Environmental Meteorology, University of Freiburg, Germany.

Data were managed and attributed by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. 

DISCLAIMER NOTICE

The use of the work is at the user's own risk. The authors and/or the involved institutions, accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The author and/or the involved institutions are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.

MATERIAL NOTICE

The notices cover data in databases, text and images contained in the work.

MATERIAL URI

Hartheim Forest Research Site

Global Phenocam Network
DOI: 10.15468/dl.gx3njz
title: Occurrence Download

description: A dataset containing 179958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum catharticum)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179958 records from 1072 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073574-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kryjwg
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073588-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v226p
title: Occurrence Download

description: A dataset containing 2042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Hyla arborea",
 "Year 2024-2026"
 ]
}

 The dataset includes 2042 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073589-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yn32rs
title: Occurrence Download

description: A dataset containing 665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia pluto",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 665 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073590-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18148107
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Werthmannstrasse (FRWRTM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban weather station at Freiburg-Werthmannstrasse (FRWRTM, 7.8447ºE, 47.9928, 277 m) using a passively ventilated and shielded temperature and humidity probe (Campbell Scientific Inc., CS 215) operated in a Stevenson Screen 2m above ground level in the vegetated backyard of Werthmannstrasse 10, 79098 Freiburg im Breisgau, Germany.



Quality controlled in-canopy air temperature data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum in-canopy air temperatures are provided on hourly, daily, monthly and annual scales.

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRWRTM_2025_AirTemperature_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.5281/zenodo.18148108
title: Air temperature measurements from Automatic Weather Station (AWS) at Freiburg – Werthmannstrasse (FRWRTM) from 2025-01-01 to 2025-12-31 [L2]

description: Quality controlled and gap-filled continuous air temperature data from the urban weather station at Freiburg-Werthmannstrasse (FRWRTM, 7.8447ºE, 47.9928, 277 m) using a passively ventilated and shielded temperature and humidity probe (Campbell Scientific Inc., CS 215) operated in a Stevenson Screen 2m above ground level in the vegetated backyard of Werthmannstrasse 10, 79098 Freiburg im Breisgau, Germany.



Quality controlled in-canopy air temperature data are available and aggregated at 10min, 30min, hourly, daily, monthly and yearly resolution for the year 2025.

Average, minimum and maximum in-canopy air temperatures are provided on hourly, daily, monthly and annual scales.

Characteristic hours and days are reported on daily, monthly and annual scales (e.g. summer days with T_max > 25ºC, hot days with T_max > 30º, desert days with T_max > 35ºC, tropical nights with T_min > 20°, frost days with T_min < 0ºC and ice days with T_max < 0ºC, all based on 00:00 - 24:00 UTC).

Detailed information on gap-filled data is provided.

Note: All times are provided in UTC, not local time.


For more details read `FRWRTM_2025_AirTemperature_MetaData.txt`.
description: COPYRIGHT



Creative Commons Attribution 4.0 International. Copyright Albert-Ludwigs-Universität Freiburg, Professur für Umweltmeteorologie, Werthmannstrasse 10, Freiburg, Germany.


CREATOR

This work is owned by the University of Freiburg.

ATTRIBUTION

The [creation and] curation of this work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 855005) and the University of Freiburg.

DISCLAIMER

The use of the work is at the user's own risk. The authors, the University of Freiburg, and/or the European Research Council accept no liability for material or non-material damage arising from the use or non-use or from the use of incorrect or incomplete information in this work. The authors, the University of Freiburg and/or the European Research Council are not responsible for any use that may be made of the information in this work. The legal provisions remain unaffected.
DOI: 10.34740/kaggle/dsv/14394666
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.rqszf7
title: Occurrence Download

description: A dataset containing 2540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-3.65863 36.84914, -3.503981 36.84914, -3.503981 36.9184, -3.65863 36.9184, -3.65863 36.84914))",
 "Year is less than or equal to 2022",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2540 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073591-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jjraw
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073593-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgv6pg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia melas",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073594-251120083545085/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14394667
title: Technology_Convergence_Trends
DOI: 10.5281/zenodo.18141048
title: Supporting Data: Exploring the Molecular Mechanisms of Nanoplastic Interactions with Blood Proteins by Molecular Dynamics and Docking Simulations

description: This dataset provides the structure and interface data supporting the study of nanoplastic particle (PE, PP, PS, PET, PVC, PEG) interactions with Human Serum Albumin (HSA), Transthyretin (TTR), Aβ1−40 , and α-Synuclein (α-Syn) as described in the associated manuscript.

Methods Summary:

Simulations were performed using GROMACS 2024.2 and the CHARMM36m force field. Polymer particles were generated using the CHARMM-GUI Polymer Builder.  Molecular Docking simulations were perfromed using the HDOCK webserver with Binding Free Energies calculated by gmx_MMPBSA.

Contents include:

01_Relaxed_Proteins: Average structures of proteins retrieved from 100 ns relaxation simulations and RMSD-based clustering.

02_Polymer_Topologies: Initial all-atom coordinates for multi-chain polymer particles (PE, PP, PS, PET, PVC, PEG), including CHARMM-GUI-derived parameter and topology files.

03_Docking_Results: Top 100 binding poses in PDB format for each protein-polymer complex and their corresponding contact interface residue lists.

04_Binding_Energetics_MMPBSA: Raw MM/PBSA energy decomposition data (.dat) for all protein-polymer complexes and technical replicates (n=3).

05_Interfacial_Dynamics: GROMACS .xvg files containing hydrogen bond counts and lifetime statistics.

06_Equilibrated_Complex_Conformations: Atomic coordinates (PDB format) for all protein-polymer complexes following equilibration.
DOI: 10.5281/zenodo.18141047
title: Supporting Data: Exploring the Molecular Mechanisms of Nanoplastic Interactions with Blood Proteins by Molecular Dynamics and Docking Simulations

description: This dataset provides the structure and interface data supporting the study of nanoplastic particle (PE, PP, PS, PET, PVC, PEG) interactions with Human Serum Albumin (HSA), Transthyretin (TTR), Aβ1−40 , and α-Synuclein (α-Syn) as described in the associated manuscript.

Methods Summary:

Simulations were performed using GROMACS 2024.2 and the CHARMM36m force field. Polymer particles were generated using the CHARMM-GUI Polymer Builder.  Molecular Docking simulations were perfromed using the HDOCK webserver with Binding Free Energies calculated by gmx_MMPBSA.

Contents include:

01_Relaxed_Proteins: Average structures of proteins retrieved from 100 ns relaxation simulations and RMSD-based clustering.

02_Polymer_Topologies: Initial all-atom coordinates for multi-chain polymer particles (PE, PP, PS, PET, PVC, PEG), including CHARMM-GUI-derived parameter and topology files.

03_Docking_Results: Top 100 binding poses in PDB format for each protein-polymer complex and their corresponding contact interface residue lists.

04_Binding_Energetics_MMPBSA: Raw MM/PBSA energy decomposition data (.dat) for all protein-polymer complexes and technical replicates (n=3).

05_Interfacial_Dynamics: GROMACS .xvg files containing hydrogen bond counts and lifetime statistics.

06_Equilibrated_Complex_Conformations: Atomic coordinates (PDB format) for all protein-polymer complexes following equilibration.
DOI: 10.15468/dl.2d4npg
title: Occurrence Download

description: A dataset containing 95292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Marrubium vulgare, Medicago lupulina, Phytolacca icosandra, Rosa rubiginosa, Rubus fruticosus, Rubus vestitus, Sambucus nigra, Ulex europaeus, Verbascum thapsus, Xanthium spinosum, Juncus effusus, Ricinus communis, Setaria pumila, Themeda triandra, Cynodon dactylon, Alopecurus myosuroides, Holcus lanatus, Poa annua, Centaurea calcitrapa, Lolium perenne, Opuntia monacantha, Physalis peruviana, Pinus pinaster, Koenigia campanulata, Adenanthera pavonina, Akebia trifoliata, Alocasia macrorrhizos, Ampelopsis glandulosa, Asparagus drepanophyllus, Asparagus setaceus, Asparagus umbellatus, Austrostipa ramosissima, Bambusa, Cardiospermum halicacabum, Carex leporina, Carpobrotus chilensis, Cenchrus alopecuroides, Cenchrus caudatus, Eucalyptus, Ficus microcarpa, Furcraea parmentieri, Furcraea selloa, Grevillea rosmarinifolia, Gunnera manicata, Hedera canariensis, Houttuynia cordata, Juglans mandshurica, Leersia hexandra, Leucaena leucocephala, Lolium arundinaceum, Lomatia fraseri, Luma apiculata, Megathyrsus maximus, Melaleuca quinquenervia, Miscanthus nepalensis, Morella faya, Opuntia, Paederia foetida, Passiflora apetala, Passiflora ligularis, Persicaria chinensis, Persicaria microcephala, Phyllostachys, Pilosella officinarum, Pilosella piloselloides, Pinus monticola, Pinus uncinata, Pinus thunbergii, Pistia stratiotes, Pomaderris kumeraho, Potamogeton perfoliatus, Prunus lusitanica, Prunus sargentii, Reynoutria bohemica, Rubus armeniacus, Rubus leptothyrsos, Schefflera actinophylla, Schinus terebinthifolia, Selaginella martensii, Selaginella uncinata, Sesbania punicea, Thinopyrum obtusiflorum, Vincetoxicum nigrum, Rubus ellipticus, Harmonia axyridis, Reynoutria multiflora, Tetranychus evansi, Symplegma brakenhielmi, Metapenaeus bennettae, Theora lubrica, Mahonia oiwakensis, Trichoglossus haematodus, Eolophus roseicapilla, Platycercus eximius, Cacatua galerita)",
 "Year 2010-2026"
 ]
}

 The dataset includes 95292 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073569-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rn4vn
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Linum littorale)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073595-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2zdxw
title: Occurrence Download

description: A dataset containing 391981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Meleagris gallopavo, Branta canadensis, Corvus frugilegus, Gymnorhina tibicen, Columba livia, Acridotheres tristis, Pavo cristatus, Anser anser, Myiopsitta monachus, Psittacula krameri)",
 "Year 2010-2026"
 ]
}

 The dataset includes 391981 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073577-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3mdnt
title: Occurrence Download

description: A dataset containing 506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erebia aethiopellus",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 506 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073597-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.