cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17577928
title: Polish word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Polish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17577927
title: Polish word2vec embeddings trained on OpenSubtitles Part 2

description: This dataset contains the subs2vec embeddings for Polish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.7914/ffna-qf89
title: DIVEnet

description: This network aims to monitor the seismicity in the area where two drillings for the ICDP DIVE projects are ongoing. We installed short period to BB sensors with the purpuse to well localize local seismicity but also to use this data to study the structure beneath the network, also having the borehole logs and other shallow geophysical studies to compare with. The area interested by these projects is where outcrops the best lower continental crust sequence and where the continental Moho is probably the shallowest in the Earth (3 km depth).
DOI: 10.5281/zenodo.17575147
title: Polish word2vec embeddings trained on OpenSubtitles Part 1

description: This dataset contains the subs2vec embeddings for Polish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.5281/zenodo.17575146
title: Polish word2vec embeddings trained on OpenSubtitles Part 1

description: This dataset contains the subs2vec embeddings for Polish, as presented in https://zenodo.org/records/17243814. The embeddings were trained on large-scale subtitle corpora and represent semantic vector spaces derived from naturalistic language use in films and television from the OpenSubtitles 2018 datasets: https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles. 

For this language, we provide all embedding variants explored in the study. Specifically, the dataset includes vectors generated under different combinations of:



Dimensionality: multiple vector sizes (e.g., 100, 200, 300, …)

Window size: varying context windows (e.g., 2, 5, 10, …)

Each file corresponds to a unique configuration (dimension × window size). 


Each file contains the vocabulary for that language (column 1) and then the embedding values (columns 2 through dimension size + 1). 

If you use this dataset, please cite:



Manuscript: https://doi.org/10.5281/zenodo.17243812 

Data: This Zenodo dataset (using the DOI provided here)
DOI: 10.15468/dl.h4pmec
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "DatasetKey is Tropicos MO Specimen Data",
 "TaxonKey is Desmopsis"
 ]
}

 The dataset includes 263 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031145-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w95hvj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hylodes mertensi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031146-251025141854904/datasets/export for details.
DOI: 10.15468/dd.kknq9q
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.5281/zenodo.10182360
title: D-PLACE dataset derived from Kreft and Jetz 2007 'Global patterns and determinants of vascular plant diversity'

description: Cite the source of the dataset as:




Kreft H, Jetz W. Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci. 2007;104: 5925–5930.
DOI: 10.5281/zenodo.17601737
title: D-PLACE dataset derived from Kreft and Jetz 2007 'Global patterns and determinants of vascular plant diversity'

description: Cite the source of the dataset as:




Kreft H, Jetz W. Global patterns and determinants of vascular plant diversity. Proc Natl Acad Sci. 2007;104: 5925–5930.
DOI: 10.15468/dl.cjzd5h
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycaon pictus (Temminck, 1820)"
 ]
}

 The dataset includes 143 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007181-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccpu2q
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Allium bidentatum Fisch. ex Prokh. & Ikonn.-Gal.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007182-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7924/r4dz0hg8s
title: Data and scripts from: Comparison of biological communities associated with oyster aquaculture and oyster reefs using environmental DNA metabarcoding and Nanopore sequencing

description: We compare the biological communities associated with intertidal oyster reefs and aquaculture in estuarine eastern North Carolina, USA across seasons to examine the habitat value of small-scale oyster aquaculture sites aquaculture gear using broad-spectrum metabarcoding of environmental DNA (eDNA) samples. We combine  Nanopore sequencing and aquatic eDNA analyses to non-invasively record biological communities at broad taxonomic scales.

Water samples were collected in bleach-sterilized 1L Nalgene bottles and kept on ice until filtration on 0.45 um MCE filters, then stored at -80C until DNA extraction. Environmental data was collected using a handheld Thermo Scientific™ Elite PCTS probe. 

DNA was extracted from 1/2 of each filter using the Qiagen Blood & Tissue kit. 

PCR was performed in triplicate on each sample and blank using three primer sets tagged with Oxford Nanopore primer adapters. Three gene regions commonly used in metabarcoding studies were used to capture the widest breadth of organisms. Targeted gene regions included: a 313 bp Cytochrome C Oxidase (COI) region (mICOIintF/HCO2198 (Leray et al. 2013)), a 336 bp 18S V4 rRNA region (1F/400R (Pochon et al. 2013)), and the 163 bp 12S rRNA region (MiFish-UF MiFish-UR (Miya et al. 2015)). Indexing PCR was performed using the Oxford Nanopore PCR Barcoding Expansion

Libraries were sequenced on the Oxford Nanopore GridION using the LSK-110 kit. We used MinKNOW v.21.05.20 and Guppy v.5.0.13 natively on the GridION to basecall with high-accurary basecalling and demultiplex the sequences. Guppy parameters: trim_barcodes ‘on’ and require_barcodes_both_ends and detect_mid_strand_barcodes ‘off’.  Barcodes were filtered to retain a minimum barcode score of 60 and Q-score of 9. Scripts to generate consensus sequences can be found on GitHub: https://github.com/lauragivens/ONTbroadsp_eDNA
DOI: 10.15468/dl.32hkze
title: Occurrence Download

description: A dataset containing 627546 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sciuridae"
 ]
}

 The dataset includes 627546 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007172-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pc55d89k8s.1
title: Cooperation in Nature: A nature-based intervention improves collaboration and creativity

description: Data for manuscript titled "Cooperation in Nature: Nature-based intervention improves mood, creativity, collaboration, and interpersonal affiliation" Abstract: As urbanization accelerates, the cognitive effects of exposure to manmade environments and decreased time in nature become increasingly important to understand. The current study investigates the effects of real-world outdoor exposure versus simulated office-based activities on verbal creativity, mood, and collaboration. Office workers engaged in workplace collaboration either outdoors in nature or indoors in an office setting. Measures of individual affect and verbal creativity were also administered before and after a period of exposure to the assessed environments. The outdoor group showed lower self-reported negative emotions and demonstrated increased performance in one of our two verbal creativity measures. Moreover, groups exposed to nature demonstrated greater satisfaction with their collective problem-solving solutions and with the degree of influence they felt they had during the group discussions, as compared to their indoor counterparts. The current research design and results address multiple components of the Tetrahedal Model, specifically the vertices of materials, participants, contexts, and outcomes. Within the vertex of materials, this study contributes to nature-based research focused on real-world, immersive environments. This study utilizes working adult participants within the context of work-related collaboration. Finally, our findings extend Attention Restoration Theory to include other prefrontal cortex (PFC) processes, such as sensitivity to emotions, verbal creativity, and social cognition.
DOI: 10.6084/m9.figshare.29109206
title: Raw data for Wu et al. Canopy opening effects on soil biota

description: Raw data for Wu et al. 2025, canopy opening effects on soil fauna community
DOI: 10.6084/m9.figshare.29108624
title: Numerical Results derived from Fractional Area-based Computation of GMPP Across 500 PSCs

description: This data comes from calculating the global maximum power point (GMPP) of a partially shaded solar panel (PV) system made up of three modules connected in series. We employed the fractional area theory (pioneered by A. Harison) for the calculation.
DOI: 10.6084/m9.figshare.29108624.v1
title: Numerical Results derived from Fractional Area-based Computation of GMPP Across 500 PSCs

description: This data comes from calculating the global maximum power point (GMPP) of a partially shaded solar panel (PV) system made up of three modules connected in series. We employed the fractional area theory (pioneered by A. Harison) for the calculation.
DOI: 10.15468/dl.kfj2gg
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphorbia nutans Lag."
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009571-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1536
title: Data supporting Ultrahigh Sensitivity and Wide-Temperature Range Soft Anisotropic Thermistor with a Direct Wireless Radio Frequency Interface
DOI: 10.17639/nott.7535
title: Just Follow Conversation

description: Dataset to accompany Just Follow Conversation study
DOI: 10.15468/dl.5umv5g
title: Occurrence Download

description: A dataset containing 4899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 7a070ba0-bafb-11d9-8e53-b8a03c50a862",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 4899 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001216-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybcupk
title: Occurrence Download

description: A dataset containing 9119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 9119 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001218-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr9jv2
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 (Eleutherodactylus richmondi Stejneger, 1904)",
 "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/0015882-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kjq7ua
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 (Eleutherodactylus richmondi Stejneger, 1904)",
 "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/0015884-250525065834625/datasets/export for details.
DOI: 10.15468/dl.r8jnan
title: Occurrence Download

description: A dataset containing 6272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Giraffa camelopardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 6272 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015881-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cftk8u
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "GadmGid is ITA.14_1",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryonia L."
 ]
}

 The dataset includes 54 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015885-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr37bh
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 (Eleutherodactylus richmondi Stejneger, 1904)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015883-250525065834625/datasets/export for details.
DOI: 10.48677/4d74397e-5b2d-4588-bdce-4e5bc456d79e
title: Verwaltungsgrenzen (VGD) BEV 1:50 000 Stichtag 01.04.2025

description: Die Verwaltungsgrenzen Stichtag BEV beinhalten die Grenzen der Verwaltungseinheiten Österreichs im Schnittstellenschema des BEV.

Die Daten sind für folgende Grenzen vorhanden: 
1) Katastralgemeindegrenze 
2) Gemeindegrenze 
3) Bezirksgrenze 
4) Gerichtsbezirksgrenze 
5) Vermessungssprengelgrenze 
6) Finanzamtsbereichsgrenze
7) Bundesländergrenze 
8) Staatsgrenze

Stichtag = Erstellungsdatum:
Die Daten sind zu diesem Tag der aktuellste Datenbestand des BEV.
Dies ist nicht ident mit dem Aufnahme- bzw. Vermessungsdatum.
DOI: 10.5064/f6g2petf/qok5sh
title: Moore-et-al_NV_0821_Non-vaccination mandate request email from Jesse Krause.pdf
DOI: 10.15468/dl.35aqm9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lista de especies silvestres amenazadas de la diversidad biológica continental y marino-costera de Colombia - Resolución 0126 de 2024 expedida por el Ministerio de Ambiente y Desarrollo Sostenible"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008808-251120083545085/datasets/export for details.
DOI: 10.5064/f6g2petf/6f5o7a
title: Moore-et-al_NV_0921_09-10-2021-BOH-COVID-Vaccine-Vulnerable-Pop.pdf
DOI: 10.5064/f6g2petf/1kam3z
title: Moore-et-al_NV_0521_Reopening-June-1.pdf
DOI: 10.5064/f6g2petf/5oatey
title: Moore-et-al_NV_0821_8.17.21-Mask-Guidance.pdf
DOI: 10.5064/f6g2petf/wfmkmh
title: Moore-et-al_NV_0721_THURSDAY AT 6 P.M._ Governor Sisolak, Immunize Nevada to announce.pdf
DOI: 10.5064/f6g2petf/8hm1jf
title: Moore-et-al_NV_1220_TODAY AT 3 PM Gov Sisolak to provide update on the States COVID19 Vaccination Planning.pdf
DOI: 10.5064/f6g2petf/vqpfaa
title: Moore-et-al_NV_0721_ICYMI_ State announces new mask, vaccination, and testing policy for state.pdf
DOI: 10.5064/f6g2petf/rqbo5k
title: Moore-et-al_NM_0921_NMPED_COVID19ResponseToolkit_PublicSch0902_PublicVersion.pdf
DOI: 10.5064/f6g2petf/pulus6
title: Moore-et-al_NV_0321_TODAY AT 5PM Governor Sisolak to provide an update on State immunization efforts.pdf
DOI: 10.5064/f6g2petf/5phkaj
title: Moore-et-al_NV_0221_2021-02-01-Updated-Guidance-on-Directive-11-EMTs-can-vaccinate-FINAL.pdf
DOI: 10.5064/f6g2petf/c4hv6k
title: Moore-et-al_NV_0721_In Case You Missed It_ HHS Secretary Xavier Becerra to Spotlight Biden-Harris Administration’s COVID-19 Surge Re.pdf
DOI: 10.15468/dl.anke6r
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eragrostis superba",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 724 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008810-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5064/f6g2petf/njbhrh
title: Moore-et-al_NV_0521_IN_210371_LiveChat.pdf
DOI: 10.5064/f6g2petf/mwysy8
title: Moore-et-al_NM_0721_New Mexico COVID-19 update_ 132 new cases, totaling 206,128 _ NMDOH - Coronavirus Updates.pdf