cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w3suuz
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myricaria squamosa"
 ]
}

 The dataset includes 401 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030292-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17596977
title: Table S1: FA composition of the EL product (mg/100g DM)
DOI: 10.15468/dl.4jbcgt
title: Occurrence Download

description: A dataset containing 197923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 197923 records from 287 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030274-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30608039
title: TE genotype calling

description: Transposon Identification Code
DOI: 10.6084/m9.figshare.30608039.v1
title: TE genotype calling

description: Transposon Identification Code
DOI: 10.15468/dl.u8z24r
title: Occurrence Download

description: A dataset containing 1344328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Magnolia champaca, Magnolia kwangsiensis, Magnolia maudiae, Nicotiana benthamiana, Ormosia henryi, Populus yunnanensis, Solanum seaforthianum, Solanum septemlobum, Vitis retordii, Salix lindleyana, Astragalus glycyphyllos, Camelina sativa, Coriaria nepalensis, Cucurbita maxima, Eucalyptus lansdowneana, Eucalyptus victrix, Firmiana kwangsiensis, Lupinus angustifolius, Medicago lupulina, Microcos paniculata, Phoenix dactylifera, Populus qiongdaoensis, Populus wuana, Reevesia pubescens, Ruppia sinensis, Salicornia europaea, Solanum lyratum, Vitis vinifera, Wolffia australiana, Zoysia macrostachya, Cucurbita moschata, Cucurbita pepo, Zoysia sinica, Ballota nigra, Castanopsis carlesii, Cistanche deserticola, Dracaena cambodiana, Fagopyrum esculentum, Helianthus annuus, Lespedeza daurica, Oenanthe javanica, Platanthera zijinensis, Trifolium fragiferum, Xylosma longifolia, Elaeocarpus petiolatus, Populus cathayana, Broussonetia papyrifera, Corchoropsis sinensis, Eucalyptus polyanthemos, Polygonum maritimum)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1344328 records from 4223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030278-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqzbs4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Philadelphus coronarius",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049233-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15181402
title: The European-wide Mountain Tourism Meteorological and Snow Indicators (MTMSI) dataset : annual snow depth maxima

description: Abstract

The data set provides reanalysis of annual maxima of snow depth, from 1962 to 2015, at NUTS-3 scale (Nomenclature des Unités Territoriales Statistiques, eur, 2015) by steps of 100 m elevation. It relates to the C3S Mountain Tourism Meteorological and Snow Indicators (MTMSI, Morin et al., 2021) data set, consisting of various meteorological and snow indicators at annual scale. 

Snow conditions are computed by the snow cover model Crocus, which takes meteorological forcings as inputs to simulate the state of the snowpack. The atmospheric reanalysis fields were extracted from the UERRA MESCAN-SURFEX (UERRA) reanalysis, which spans the time period from 1961 to 2015, at 5.5 km horizontal resolution (Soci et al., 2016), for selected grid points by NUTS-3 areas. In mountainous areas, the data is provided for several elevation steps of 100 m, while for non-mountainous areas the data is provided at the mean elevation of the NUTS-3 region. This data set was used as a reference for adjusting climate projections by Evin et al. (2025).

Technical details





File "max-sd-NS-year_UERRA.nc"
Under the variable 'max-sd-NS-year' of the netcdf file, the user can extract the annual snow depth maxima (in meter) at NUTS-3 scale, that have been calculated on the hydrological year from Y-1/08/02 to Y/08/01. If there was no snow during the hydrological year of one NUTS/elevation pair, snow depth maxima is set as NA. The extract has NUTS/elevation*year dimension.



File "MTMSI_lat_lon_zs.nc"
The metadata file contains values of latitude and longitude of the barycenter of the NUTS-3 associated with the annual maxima timeseries. The two files relate to each other as the i row from the annual maxima files is located at the i value of longitude, latitude and elevation from the metadata file.



File "nuts_details.zip"
The compressed shapefiles contain information about the NUTS-3 for which timeseries are available. 'nuts_id' attribute gives the identifier of each NUTS-3, 'nuts_name' gives its name, 'relief' provides the NUTS-3 type (either mountain called 'montagne', or plain called 'plaine'), finally 'alt_ideal' gives the mean elevation of the NUTS-3 rounded to the hundred.
DOI: 10.17632/bwhzzgkxwv.1
title: Psychosocial Predictors of Problematic Social Media Use and Internet Gaming Disorder in University Students (Dataset)

description: This dataset includes responses from 935 university students (M = 21.23; SD = 4.23; 66.09% female) who completed a battery of self-report measures assessing personality traits, emotional dysregulation, decision-making styles, and executive control, as well as indicators of Problematic Social Media Use (PSMU) and Internet Gaming Disorder (IGD). The data were collected as part of a cross-sectional study conducted within the framework of the I-PACE model (Brand et al., 2019), aiming to identify shared and distinct psychosocial predictors of PSMU and IGD in young adults.
Variables include raw scores for all scales, demographic information (age, gender), and group classifications based on vulnerability to PSMU, IGD, or co-occurrence of both. The dataset can be used to explore behavioral addiction profiles in youth, the interaction between cognitive-emotional variables, and the development of tailored prevention strategies.
DOI: 10.17632/648whxb94y
title: LaVasca

description: We present geochemical, isotopic, and geochronological data from the LVAC and the surrounding area. The metaluminous rocks are monzonite and syenite with post-collisional geochemical affinity and Middle Eocene zircon ages between 47.6 ±0.3 Ma and 45.4 ±0.3 Ma that are significantly older than other alkaline rocks from the EMAP. The peralkaline rocks are composed of syenite and eudialyte-bearing foid-syenite with intraplate geochemical affinity that probably coevolved with the metaluminous rocks. Both groups show minimal crustal contamination, with affinity to an Ocean Island Basalt mantle source.
DOI: 10.17632/648whxb94y.1
title: LaVasca

description: We present geochemical, isotopic, and geochronological data from the LVAC and the surrounding area. The metaluminous rocks are monzonite and syenite with post-collisional geochemical affinity and Middle Eocene zircon ages between 47.6 ±0.3 Ma and 45.4 ±0.3 Ma that are significantly older than other alkaline rocks from the EMAP. The peralkaline rocks are composed of syenite and eudialyte-bearing foid-syenite with intraplate geochemical affinity that probably coevolved with the metaluminous rocks. Both groups show minimal crustal contamination, with affinity to an Ocean Island Basalt mantle source.
DOI: 10.17632/7gdg4nmn9r.1
title: Public Education Expenditure and Economic Outcome in Indian Higher Education (2013–2022)

description: This is a dataset for the study on impact of public education expenditure on higher education programs in India and its subsequent impact on economic outcome. This dataset consists data related to four variables: public higher education expenditure, enrollment rates in different programs of higher education in India, output rates in different programs of higher education in India and GDP per capita. All the data are related to the study period 2013 to 2022. This dataset is a compilation of the data collected from the official websites of Ministry of Education, Government of India, All India Survey on Higher Education (AISHE) and Reserve Bank of India (RBI). All the data are publicly accessible.
DOI: 10.17632/x29bc9xssz.1
title: Google Scholar Profile Citation Data

description: This dataset contains 11,375 random samples of international researchers, extracted from their Google Scholar Profiles (GSPs) in 2022. The gathered data spans 41 countries ensuring diversity. Unlike existing datasets, it includes 16 suggested features derived from some raw metrics such as h-index, i10-index, etc. that includes a CSV file. It is designed for regression tasks to predict citation counts (but not limited to). It addresses limitations of default metrics by capturing novel features.
DOI: 10.5281/zenodo.15487568
title: Machine Learning Identification of EEG Predictors of Load-Specific Strength Gains Following Alpha Neurofeedback in Elite Judokas

description: This dataset accompanies the study "Machine Learning Identification of EEG Predictors of Load-Specific Strength Gains Following Alpha Neurofeedback in Elite Judokas", which investigated whether baseline alpha-band EEG metrics can predict individual responsiveness to neurofeedback in the context of strength adaptation. Conducted on 24 elite male judokas, the study implemented a 15-session alpha neurofeedback intervention targeting frontal alpha asymmetry (FAI) with EEG recorded from F3 and F4 electrode sites. Strength outcomes were assessed pre- and post-intervention across five loading intensities (35–100% 1RM) using a standardized back squat protocol.

The research was structured in two analytical stages. First, multivariate linear regression models identified load-specific EEG predictors (FAI, F3, F4) of strength gain. Principal Component Analysis (PCA) supported the dimensionality reduction of EEG data prior to modeling. Second, supervised machine learning classifiers Random Forest (RF) and Multi-Layer Perceptron (MLP), were trained to categorize athletes as responders or non-responders based on baseline EEG features and training status. Both classifiers demonstrated above-chance accuracy, with F4_PRE and FAI_PRE emerging as the most influential features.

The dataset, titled "EEG Alpha Neurofeedback and Strength Adaptation – Judokas (2024)", contains preprocessed and standardized EEG metrics (F3_PRE, F4_PRE, FAI_PRE), delta strength outcomes (ΔReps per %RM), classification labels, and all R scripts used for regression, PCA, and machine learning analysis. EEG preprocessing included ICA artifact removal, z-score normalization, and amplitude thresholding (±75 µV). The entire analysis pipeline follows open science and FAIR principles.

This is the first study to integrate PCA-regression and machine learning to derive EEG-based predictive markers of neuromuscular adaptation in elite strength athletes. The results support the application of individualized neurofeedback strategies guided by neurophysiological traits and establish a foundation for precision brain–performance interfaces in sport science.
DOI: 10.5281/zenodo.15487569
title: Machine Learning Identification of EEG Predictors of Load-Specific Strength Gains Following Alpha Neurofeedback in Elite Judokas

description: This dataset accompanies the study "Machine Learning Identification of EEG Predictors of Load-Specific Strength Gains Following Alpha Neurofeedback in Elite Judokas", which investigated whether baseline alpha-band EEG metrics can predict individual responsiveness to neurofeedback in the context of strength adaptation. Conducted on 24 elite male judokas, the study implemented a 15-session alpha neurofeedback intervention targeting frontal alpha asymmetry (FAI) with EEG recorded from F3 and F4 electrode sites. Strength outcomes were assessed pre- and post-intervention across five loading intensities (35–100% 1RM) using a standardized back squat protocol.

The research was structured in two analytical stages. First, multivariate linear regression models identified load-specific EEG predictors (FAI, F3, F4) of strength gain. Principal Component Analysis (PCA) supported the dimensionality reduction of EEG data prior to modeling. Second, supervised machine learning classifiers Random Forest (RF) and Multi-Layer Perceptron (MLP), were trained to categorize athletes as responders or non-responders based on baseline EEG features and training status. Both classifiers demonstrated above-chance accuracy, with F4_PRE and FAI_PRE emerging as the most influential features.

The dataset, titled "EEG Alpha Neurofeedback and Strength Adaptation – Judokas (2024)", contains preprocessed and standardized EEG metrics (F3_PRE, F4_PRE, FAI_PRE), delta strength outcomes (ΔReps per %RM), classification labels, and all R scripts used for regression, PCA, and machine learning analysis. EEG preprocessing included ICA artifact removal, z-score normalization, and amplitude thresholding (±75 µV). The entire analysis pipeline follows open science and FAIR principles.

This is the first study to integrate PCA-regression and machine learning to derive EEG-based predictive markers of neuromuscular adaptation in elite strength athletes. The results support the application of individualized neurofeedback strategies guided by neurophysiological traits and establish a foundation for precision brain–performance interfaces in sport science.
DOI: 10.21227/dfhd-9182
title: "pedestrians dataset for YOLO from CSDN"

description: "pedestrians datasets for yolo"
DOI: 10.15468/dl.nzvg27
title: Occurrence Download

description: A dataset containing 16346 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversidad asociada al Estudio de Impacto Ambiental (EIA) para la obtención de la licencia ambiental global para el área de desarrollo LLANOS 134"
 ]
}

 The dataset includes 16346 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011959-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17898/adp_covtur20_v1/1
title: covtur20_p1_sl_v1_r3.tab

description: :unav
DOI: 10.17898/adp_covtur20_v1/2
title: covtur20_vp1_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_covtur20_v1
title: COVID-19 in turizem, 2020

description: Raziskava ponuja dojemanje dogajanja Slovencev v zgodovinsko posebnem trenutku – takoj ob začetku epidemije COVID-19. Spletna anketa je bila izvedena za časa prvega zaprtja države (marec – april 2020) in ponuja poglobljen vpogled Slovencev na zaznavanje grožnje pred COVID-19 na dveh dimenzijah: resnost oz. dovzetnost za grožnje; kako je to odvisno od njihovih demografskih značilnosti in preteklih izkušenj s potovanji in kako je epidemija vplivala na njihove načrte o potovanjih v prihodnosti. Raziskava sledi teorijam t.i. apelov strahu in analizira mehanizme odzivanja na grožnjo: izogibanje razmišljanju o grožnji in zanikanje obstoja grožnje. Vključuje analizo virov informacij in demografske spremenljivke.
DOI: 10.17898/adp_covukr20_v1
title: Raziskava o stališčih do ukrepov za zajezitev epidemije COVID-19 v Sloveniji, 2020

description: Pojav epidemije pogosto spremljajo najrazličnejši ukrepi, tako ekonomski, socialni, kot tudi samozaščitni. V primeru širitve bolezni COVID–19 je v Sloveniji (samo)zaščitne ukrepe za zajezitev širitve okužb formalno sprejela Vlada Republike Slovenije, njihovo spoštovanje pa je zagotavljala z represivnimi in omejevalnimi ukrepi različnih pristojnih organov. Poleg formalnega nadzora so bile prisotne tudi druge oblike nadzorstva, kar se je kazalo v objavah množičnih in družbenih medijev. Tako je v času COVID–19 mogoče zaznati prepletanje formalnega in neformalnega družbenega nadzorstva. V raziskavi, ki je temeljila na teoriji generalne prevencije in varnostnomotivacijske teorije se je ugotavljalo kateri zunanji in notranji dejavniki so povezani s samozaščitnim vedenjem ljudi v tovrstnih okoliščinah. Anketa je bila izvedena na priložnostnem vzorcu, pri čemer je bilo vabilo k sodelovanju v anketi objavljeno v nekaj zaprtih in javnih slovenskih skupinah na socialnem omrežju Facebook, kar pomeni, da so na anketo odgovarjale osebe, ki so bodisi člani skupine, bodisi jo spremljajo, ali so jo obiskali naključno. Anketni vprašalnik je bil izvorno razvit v angleščini. Na voljo je slovenski prevod anketnega vprašalnika. Podatkovna datoteka je dostopna v slovenskem in angleškem jeziku.
DOI: 10.17898/adp_covukr20_v1/1
title: covukr20_p1_en_v1_r3.tab

description: Angleška verzija podatkovne datoteke
DOI: 10.17898/adp_covukr20_v1/2
title: covukr20_p1_sl_v1_r3.tab

description: Slovenska verzija podatkovne datoteke
DOI: 10.17898/adp_covukr20_v1/3
title: covukr20_vp1_en_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_covukr20_v1/4
title: covukr20_vp1_sl_v1_r1.pdf

description: :unav
DOI: 10.5281/zenodo.14860746
title: Lifetime brain atrophy estimated from a single MRI: measurement characteristics and genome-wide correlates

description: Here we provide the GWAS summary statistics associated with Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI, Fürtjes et al., 2025
DOI: 10.5281/zenodo.14860747
title: Lifetime brain atrophy estimated from a single MRI: measurement characteristics and genome-wide correlates

description: Here we provide the GWAS summary statistics associated with Lifetime brain atrophy estimated from a single MRI: measurement characteristics and genome-wide correlates, Fürtjes et al.
DOI: 10.5281/zenodo.15282759
title: Lifetime brain atrophy estimated from a single MRI: measurement characteristics and genome-wide correlates

description: Here we provide the GWAS summary statistics associated with Measurement characteristics and genome-wide correlates of lifetime brain atrophy estimated from a single MRI, Fürtjes et al., 2025
DOI: 10.17898/adp_dorgst17_v1
title: Družbeni vidiki darovanja organov in tkiv v Sloveniji, 2017

description: Center za socialno psihologijo, Fakulteta za družbene vede, Univerza v Ljubljani je v sodelovanju z več organizacijami raziskoval družbene vidike darovanja organov in tkiv v Sloveniji. Na populaciji spletnega panela podjetja Valicon so izvedli pilotno raziskavo z namenom testiranja vprašalnika. Podatke pa so zbrali v okviru raziskave Slovensko javno mnenje 2017/1: Evropska raziskava vrednot. V terenski anketi je sodelovalo 1076 polnoletnih prebivalcev Slovenije. Vprašanja vključujejo naslednje teme: informiranost o darovanju organov, pripravljenost darovanja organov (lastnih, bližnjih oseb), vpis v register darovalcev organov po smrti, pogovori o darovanju organov, stališča povezana z darovanjem organov, mnenja o stališčih drugih do darovanja, seznanjenost z darovanjem organov. Raziskovalna izhodišča: presaditev organov in tkiv kot oblika metode zdravljenja je pomembno napredovala, tako v stopnji preživelih pacientov po presaditvi, kot tudi v razvijanju novih presaditvenih metod, kar pa poraja veliko nesorazmerje med številom organov, ki so na voljo za presaditev, in številom ljudi, ki čakajo na presaditev. V Sloveniji so stališča na splošno pretežno naklonjena darovanju organov (več kot polovica se strinja), vendar tem naklonjenim stališčem ne sledi tudi vedenje (le 0,22 % Slovencev je uradno registriranih kot darovalcev organov). Z raziskavo »Družbeni vidiki darovanja organov in tkiv v Sloveniji: analiza spodbujevalnih in zaviralnih dejavnikov za oblikovanje programov za doseganje vedenjskih sprememb« so avtorji iskali načine, kako zmanjšati razkorak med povpraševanjem in ponudbo organov in tkiv ob pogoju, da presaditev organov ostane v celoti prostovoljna, odvisna od pripravljenosti ljudi za darovanje svojih organov ali organov svojih bližnjih po smrti drugim, ki jih potrebujejo. Avtorji raziskave so pripravili tudi priporočila za načrtovanje programa za doseganje vedenjskih sprememb v slovenski populaciji.
DOI: 10.17898/adp_dorgst17_v1/1
title: dorgst17_om1_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_dorgst17_v1/2
title: dorgst17_om2_sl_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_dorgst17_v1/3
title: dorgst17_p1_sl_v3_r2.tab

description: :unav
DOI: 10.17898/adp_dorgst17_v1/4
title: dorgst17_vp1_sl_v1_r1.pdf

description: :unav
DOI: 10.5281/zenodo.15578037
title: INNOVATIVE ACTIVITY DYNAMICS IN THE 21ST CENTURY
DOI: 10.5281/zenodo.15578038
title: INNOVATIVE ACTIVITY DYNAMICS IN THE 21ST CENTURY
DOI: 10.17898/adp_dorgsp17_v1
title: Družbeni vidiki darovanja organov in tkiv v Sloveniji, 2017

description: Center za socialno psihologijo, Fakulteta za družbene vede, Univerza v Ljubljani je v sodelovanju z več organizacijami raziskoval družbene vidike darovanja organov in tkiv v Sloveniji. Z raziskavo so avtorji iskali načine, kako zmanjšati razkorak med povpraševanjem in ponudbo organov in tkiv ob pogoju, da presaditev organov ostane v celoti prostovoljna, odvisna od pripravljenosti ljudi za darovanje svojih organov ali organov svojih bližnjih po smrti drugim, ki jih potrebujejo. Na populaciji spletnega panela JazVem.si podjetja Valicon, kjer je bil uporabljen neverjetnostni vzorec, so avtorji izvedli pilotno raziskavo z namenom testiranja vprašalnika. V spletnem panelu je sodelovalo 1007 aktivnih članov panela v starosti 18 -75 let. Rezultati raziskave omogočajo informativen vpogled v problematiko darovanja organov ter usmerjanje nadaljnjih raziskovalnih aktivnosti v okviru projekta. Vprašanja vključujejo naslednje teme: pripravljenost darovanja organov (lastnih, bližnjih oseb), vpis v register darovalcev organov po smrti, pogovori o darovanju organov, informiranost o darovanju, stališča povezana z darovanjem organov, mnenja o stališčih drugih do darovanja, seznanjenost z darovanjem organov, religioznost in verovanje, opaženost kampanje. V nadaljevanju so avtorji s posodobljenim vprašalnikom izvedli raziskavo tudi na terenu, podatki katere so prav tako dostopni v ADP (glej ADP IDNo: DORGST17).
DOI: 10.17898/adp_dorgsp17_v1/1
title: dorgsp17_p1_sl_v2_r2.tab

description: :unav
DOI: 10.17898/adp_dorgsp17_v1/2
title: dorgsp17_rm3_sl_v2_r2.pdf

description: :unav
DOI: 10.17898/adp_dorgsp17_v1/3
title: dorgsp17_vp1_sl_v3_r2.pdf

description: :unav
DOI: 10.15468/dl.66aurk
title: Occurrence Download

description: A dataset containing 1483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-78.60487 38.75437,-77.48612 38.75437,-77.48612 39.26528,-78.60487 39.26528,-78.60487 38.75437))",
 "InstitutionCode is usnm",
 "TaxonKey is Plethodon cinereus (Green, 1818)"
 ]
}

 The dataset includes 1483 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007110-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.