cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3w6rxk
title: Occurrence Download

description: A dataset containing 11184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry MULTIPOLYGON(((-14.43658 26.09134,58.52499 26.09134,58.52499 47.33988,-14.43658 47.33988,-14.43658 26.09134)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Quercus afares, Quercus alnifolia, Quercus brantii, Quercus canariensis, Quercus carduchorum, Quercus carduchorum, Quercus dalechampii, Quercus faginea, Quercus gussonei, Quercus ichnusae, Quercus ilex, Quercus infectoria, Quercus ithaburensis, Quercus kotschyana, Quercus libani, Quercus look, Quercus macranthera, Quercus macranthera, Quercus persica, Quercus pseudococcifera, Quercus pseudococcifera, Quercus rotundifolia, Quercus suber, Quercus suber, Quercus trojana, Quercus trojana, Quercus ungeri, Quercus vulcanica)"
 ]
}

 The dataset includes 11184 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044607-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tc49fa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiostoma novo-ulmi",
 "Country is Moldova, Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044609-250717081556266/datasets/export for details.
DOI: 10.11582/2020.00032
title: Data for: Large difference in aerosol radiative effects from BVOC-SOA treatment in three ESMs

description: Model data from NorESM, EC-Earth and ECHAM for the simulated years 2000-2005. The data has been averaged over time and the variables used in the publication are included. Data from the CTRL simulation as well as the 5 sensitivity test are provided. 
 Data description: Source: EC-EARTH: Varibales=wghts SFisoprene SFmonoterp wghts2 LWCF TGCLDCWP REFF_2D CDOD550 condTend_SOA_total CLDTOT SWCF_Ghan SWDAF_Ghan N_AER CDNC_2D NCFT SWCF cb_isoprene cb_monoterp N_NUS N_AIS N_ACS N_COS N_AII N_ACI N_COI RWET_AII RWET_ACI RWET_COI RDRY_NUS RDRY_AIS RDRY_ACS RDRY_COS; Source: ECHAM : Varibales=wghts SFisoprene SFmonoterp LWCF TGCLDCWP REFF_2D CDOD550 condTend_SOA_total CLDTOT SWCF_Ghan SWDAF_Ghan N_AER CDNC_2D NCFT SWCF cb_isoprene cb_monoterp RWET_NS RWET_KS RWET_AS RWET_CS RWET_KI RWET_AI RWET_CI NUM_NS NUM_KS NUM_AS NUM_CS NUM_KI NUM_AI NUM_CI; Source:NorESM : Varibales=wghts SFisoprene SFmonoterp LWCF TGCLDCWP REFF_2D CDOD550 condTend_SOA_total CLDTOT SWCF_Ghan SWDAF_Ghan N_AER CDNC_2D NCFT SWCF cb_isoprene cb_monoterp NNAT_0 NCONC01 NCONC02 NCONC03 NCONC04 NCONC05 NCONC06 NCONC07 NCONC08 NCONC09 NCONC10 NCONC11 NCONC12 NCONC13 NCONC14 SIGMA01 SIGMA02 SIGMA03 SIGMA04 SIGMA05 SIGMA06 SIGMA07 SIGMA08 SIGMA09 SIGMA10 SIGMA11 SIGMA12 SIGMA13 SIGMA14 NMR01 NMR02 NMR03 NMR04 NMR05 NMR06 NMR07 NMR08 NMR09 NMR10 NMR11 NMR12 NMR13 NMR14; Citation: Moa K. Sporre et al.,2020, Large difference in aerosol radiative effects from BVOC-SOA treatment in three Earth system models, doi.org/10.5194/acp-20-8953-2020
DOI: 10.5281/zenodo.16418848
title: Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment

description: Replication package for paper Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment van Gerwen et.al
DOI: 10.5281/zenodo.16418849
title: Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment

description: Replication package for paper Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment van Gerwen et.al
DOI: 10.11582/2020.00033
title: LIG transient forcing experiments

description: Three transient LIG (125ka -115ka) experiments, with fixed (1) orbital, (2) atmospheric CO2 and (3) terrestrial vegetation.
DOI: 10.15468/dl.fepuqt
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiostoma novo-ulmi",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044610-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11582/2020.00035
title: Norwegian Climate Prediction Model (NorCPM) output prepared for PRACTICE - perfect model prediction twin-experiment

description: The dataset contains output from the Norwegian Climate Prediction Model that was produced as part of the SKD PRACTICE project. The simulation output is from a twin-experiment under preindustrial conditions where the model is self-predicting its own climate variability.
DOI: 10.5281/zenodo.16037258
title: LLMs on Affordable GPUs: A Benchmarking Study

description: This dataset contains the data for the paper "LLMs on Affordable GPUs: A Benchmarking Study".

It contains:



The data of question answering and timing: rawData.tar

An example of the created analysis graphs: scaling.pdf

The used soure code: FastChatFork.tar (commit 0db66f3a8c0bb4b30fc194efe217890b6e7ab42e of https://github.com/DaGeRe/FastChat)
DOI: 10.5281/zenodo.16037259
title: LLMs on Affordable GPUs: A Benchmarking Study

description: This dataset contains the data for the paper "LLMs on Affordable GPUs: A Benchmarking Study".

It contains:



The data of question answering and timing: rawData.tar

An example of the created analysis graphs: scaling.pdf

The used soure code: FastChatFork.tar (commit 0db66f3a8c0bb4b30fc194efe217890b6e7ab42e of https://github.com/DaGeRe/FastChat)
DOI: 10.5281/zenodo.14253144
title: Retrodigitalization of zbMATH Open volumes (1-529): Mathpix 2024 OCR Results

description: Dataset representing the result of applying Mathpix OCR API to scanned documents from zbMATH Open volumes.

Configurations of the API call:   



    image_uri = "data:image/tif;base64," + \

                base64.b64encode(

                    open(file_path, "rb").read()

                ).decode()

    OCR_result = requests.post("https://api.mathpix.com/v3/text",

                      data=json.dumps({'src': image_uri,

                                       "formats": ["text", "data", "html", "latex_normal"],

                                       "data_options": {

                                           "include_asciimath": True,

                                           "include_latex": True

                                       },

                                       "include_line_data": True,

                                       "include_detected_alphabets": True,

                                       }),

                      headers={"app_id": user,

                               "app_key": key,

                               "Content-type": "application/json"})


The file OCR_representation.tar contains 252,209 JSON files (one per page), organized by volumes (each volume is a separate folder). The numbering of files within folders corresponds to the numbering of the original scans, keeping the same sequence as the scanned pages in the books.

Mathpix errors occurred while processing 2,235 scans (see Errors.xlsx).

Some volumes are missing (as they were not scanned, see Missing_volumes.txt), 480 in total were processed.

How to get from the file to the corresponding zbMATH Open webpage (example):

     OCR_representation/016/00000431.json -> https://zbmath.org/0016.43101

For more information, see DOI 10.4171/NEWS/117/11
DOI: 10.5281/zenodo.14253145
title: Retrodigitalization of zbMATH Open volumes (1-529): Mathpix 2024 OCR Results

description: Dataset representing the result of applying Mathpix OCR API to scanned documents from zbMATH Open volumes.

Configurations of the API call:   



    image_uri = "data:image/tif;base64," + \

                base64.b64encode(

                    open(file_path, "rb").read()

                ).decode()

    OCR_result = requests.post("https://api.mathpix.com/v3/text",

                      data=json.dumps({'src': image_uri,

                                       "formats": ["text", "data", "html", "latex_normal"],

                                       "data_options": {

                                           "include_asciimath": True,

                                           "include_latex": True

                                       },

                                       "include_line_data": True,

                                       "include_detected_alphabets": True,

                                       }),

                      headers={"app_id": user,

                               "app_key": key,

                               "Content-type": "application/json"})


The file OCR_representation.tar contains 252,209 JSON files (one per page), organized by volumes (each volume is a separate folder). The numbering of files within folders corresponds to the numbering of the original scans, keeping the same sequence as the scanned pages in the books.

Mathpix errors occurred while processing 2,235 scans (see Errors.xlsx).

Some volumes are missing (as they were not scanned, see Missing_volumes.txt), 480 in total were processed.

How to get from the file to the corresponding zbMATH Open webpage (example):

     OCR_representation/016/00000431.json -> https://zbmath.org/0016.43101

For more information, see DOI 10.4171/NEWS/117/11
DOI: 10.15468/dl.5vjukg
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Apalone spinifera)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044611-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdvbfx
title: Occurrence Download

description: A dataset containing 1090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is one of (Morocco, Algeria, Tunisia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phylloscopus bonelli",
 "Year 2020-2025"
 ]
}

 The dataset includes 1090 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044612-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53rwcv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nandopsis tetracanthus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044615-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxwzph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Apalone spinifera)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044613-250717081556266/datasets/export for details.
DOI: 10.15468/dl.unudeu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Apalone spinifera)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044616-250717081556266/datasets/export for details.
DOI: 10.1594/pangaea.983963
title: Polar bear sightings during MOSAiC Expedition PS122

description: Polar bear sightings and encounters during the MOSAiC expedition (PS122.1 - PS122.5) Observations taken by the Logistic Team, stating date and coordinates, number of animals, condition and activity of animals and actions taken by the expedition team. Bear guards with flare and rifles have been present on the ice at all times when people were on the ice as well as a person on watch on the bridge and stern of the vessel. Standard procedure for any bear observations in the proximity of RV Polarstern/site when people were on the ice was always the immediate evacuation of the floe or site. CO stands for 'Central Observatory' next to RV Polarstern.
description: Observations of polar bears during MOSAiC made by the logistic team on board.
DOI: 10.15468/dl.buvjfc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044617-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnhq3z
title: Occurrence Download

description: A dataset containing 56623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Larus canus",
 "MediaType is Image"
 ]
}

 The dataset includes 56623 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044578-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwjr8y
title: Occurrence Download

description: A dataset containing 780 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicologlossa hexophthalma"
 ]
}

 The dataset includes 780 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044618-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9dsru
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibalanus improvisus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044620-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5cstt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophiostoma novo-ulmi",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044622-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ukzc2
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleria lacustris",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 109 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044623-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ns2txk
title: Occurrence Download

description: A dataset containing 20143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Opuntia polyacantha"
 ]
}

 The dataset includes 20143 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044624-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11582/2020.00043
title: CESM2(WACCM6) Simulations of the Los Chocoyos eruption

description: This data set contains all the simulations performed for the paper "The potential impacts of a sulfur- and halogen-rich supereruption such as Los Chocoyos on the atmosphere and climate" (https://acp.copernicus.org/articles/20/6521/2020/) published in ACP. The same simulations are the basis for a paper currently under review in GRL.

The simulations aim to represent the eruption of Los Chocoyos (~84,000 years ago) in CESM2(WACCM). The data is in the original CESM2(WACCM) output NetCDF format and the naming convention for the simulations are described in the README file included in the data set.
DOI: 10.6084/m9.figshare.29645081
title: CNS_Application.pdf

description: <i>This project aims to understand how the brain transitions from normal to diseased states in Parkinson’s </i><i>disease and epilepsy. We will use a special type of computer model called a continuous attractor neural </i><i>network, which mimics how neurons in the brain communicate. By analyzing brain data from Canadian </i><i>datasets, we hope to find patterns that can help diagnose these conditions earlier and develop better </i><i>treatments. This research could improve the lives of people with these disorders by enabling earlier </i><i>interventions and more effective care.</i>
DOI: 10.6084/m9.figshare.29645081.v1
title: CNS_Application.pdf

description: <i>This project aims to understand how the brain transitions from normal to diseased states in Parkinson’s </i><i>disease and epilepsy. We will use a special type of computer model called a continuous attractor neural </i><i>network, which mimics how neurons in the brain communicate. By analyzing brain data from Canadian </i><i>datasets, we hope to find patterns that can help diagnose these conditions earlier and develop better </i><i>treatments. This research could improve the lives of people with these disorders by enabling earlier </i><i>interventions and more effective care.</i>
DOI: 10.15468/dl.r5kpxx
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044625-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9zyxe
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Philornis downsi"
 ]
}

 The dataset includes 96 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044626-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16416361
title: Memory, Exile, and Nostalgia in Iraqi Graphic Narratives: A Study of Poppies of Iraq and The Flavors of Iraq

description: This article investigates how Iraqi graphic memoirs articulate memory, exile, and nostalgia through visual and narrative form, focusing on Brigitte Findakly and Lewis Trondheim’s Poppies of Iraq (2017) and Feurat Alani and Léonard Cohen’s The Flavors of Iraq (2024). Through close readings of linework, color palettes, panel layouts, and textual strategies, the study reveals two distinct but complementary modes of nostalgia. In Poppies of Iraq, watercolor‑washed vignettes, sparse gestural strokes, and the recurring motif of crimson poppies enact both restorative and reflective nostalgia, reconstructing a childhood under Saddam Hussein’s regime while inviting readers to linger in the silences between memories. In contrast, The Flavors of Iraq assembles “tweet‑sized” sensory snapshots, each dated and illustrated in saturated hues, to perform reflective nostalgia as postmemory, where taste, aroma, and texture become conduits for personal and political remembrance. By juxtaposing these formal strategies, the article demonstrates comics’ unique capacity to make absence visible, to map the affective contours of displacement, and to transform individual recollections into collective memory. Finally, it considers how multimedia adaptations, such as the novel’s video episodes, extend the graphic form’s mnemonic reach, offering new avenues for diasporic storytelling and communal identity formation.