cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2905/00156a52-db4a-44cf-9f37-dd0373abba14
title: DELi regional socioeconomic projections 2024

description: The DELi regional socioeconomic projections 2024 include projections of annual population change rate, natural change rate, net migration rate, GDP growth and GDP per capita growth for the EU27 at the NUTS3 level according to the NUTS 2021 version. All the changes are expressed in percentage points. The population change rate corresponds to the sum of natural change rate and net migration rate. Population change, natural change and net migration for the year x can be obtained as follows: population_change(x) = population(x) * pop_change_rate(x) / 100, natural_change(x) = population(x) * nat_change_rate(x) / 100, net_migration(x) = population(x) * net_mig_rate(x) / 100. For population projections: population(x+1) = population(x) + population_change(x) = population(x) * (1 + pop_change_rate(x) / 100). For GDP projections: GDP(x+1) = GDP(x) * (1 + GDP_growth(x) / 100). UNIT OF MEASURE: pop_change_rate, nat_change_rate, net_mig_rate, GDP_growth, GDPpc_growth. RESOLUTION: NUTS3. COMPLETENESS: EU27, missing Départements d'Outre Mer (FRY10, FRY20, FRY30, FRY40, FRY50). POLICY CONTEXT: This dataset was produced in the context of the Rural Observatory, in a collaboration between the JRC, DG AGRI and DE REGIO. A working paper has been published analysing the results of the projections, available at https://publications.jrc.ec.europa.eu/repository/handle/JRC140514. METHODOLOGY: The projections have been generated using the Demography-Economy-Land use interactio (DELi) model. DELi regionalizes exogenous, socioeconomic and demographic projections from national to regional level, capturing interactions between demography, economy, and land use. The DELi model is described in a dedicated technical report: https://publications.jrc.ec.europa.eu/repository/handle/JRC136498. DATA SOURCES: The regional projections have been generated using national level projections and historical regional data. The national level projections have been retrieved from the ageing report 2021 (https://economy-finance.ec.europa.eu/publications/2021-ageing-report-economic-and-budgetary-projections-eu-member-states-2019-2070_en). The historical regional data have been retrieved from ARDECO (https://knowledge4policy.ec.europa.eu/territorial/ardeco-database_en). LEVEL OF AGGREGATION: NUTS3 UNCERTAINTY AND LIMITATIONS: These projections are based on a 'business as usual' scenario, whereby observed variable relationships remain constant in the future. DELi does predict shocks and their impacts.
DOI: 10.34740/kaggle/dsv/12109733
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.hyg8vn
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Kerivoula papillosa (Temminck, 1840)"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030985-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kujwy9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Kerivoula papillosa (Temminck, 1840)"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030987-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3e9g7z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella kogelbergensis Turner & Channing, 2017",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030986-250525065834625/datasets/export for details.
DOI: 10.15468/dl.m8xdyj
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.66_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geum rivale L."
 ]
}

 The dataset includes 317 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030988-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15606644
title: Latent Profiles of Learning Style Preferences According to Educational Modality and Demographic Factors in Higher Education

description: This study aimed to: (a) analyze university students' learning style preferences based on sociodemographic variables (sex, age, and educational modality), and (b) identify latent profiles of learning styles.The Index of Learning Styles (ILS), adapted to Spanish, was administered to a sample of university students enrolled in both face-to-face and synchronous online programs. Four main hypotheses were formulated, including the influence of sociodemographic variables on learning styles and the possibility of identifying latent profiles using Latent Profile Analysis (LPA) and classification techniques (CART).

The results show that students preferred the Sensing, Visual, and Sequential learning styles. Educational modality did not present significant differences in learning style preferences, although variations were observed in the Processing dimension, with a higher preference for the Active style among face-to-face students. Sex and age influenced only the Understanding dimension.

Six well-defined latent profiles were identified; however, these profiles were not significantly associated with sociodemographic variables. The CART classification model showed poor performance, highlighting the limited predictive power of these variables.

The main conclusion is that learning style preferences reflect individual cognitive patterns rather than external sociodemographic characteristics. The latent profiles offer a more personalized and effective pedagogical approach, contributing to improved equity and quality in higher education. This study underscores the importance of incorporating motivational and metacognitive variables in future research and educational interventions.
DOI: 10.5281/zenodo.15606645
title: Latent Profiles of Learning Style Preferences According to Educational Modality and Demographic Factors in Higher Education

description: This study aimed to: (a) analyze university students' learning style preferences based on sociodemographic variables (sex, age, and educational modality), and (b) identify latent profiles of learning styles.The Index of Learning Styles (ILS), adapted to Spanish, was administered to a sample of university students enrolled in both face-to-face and synchronous online programs. Four main hypotheses were formulated, including the influence of sociodemographic variables on learning styles and the possibility of identifying latent profiles using Latent Profile Analysis (LPA) and classification techniques (CART).

The results show that students preferred the Sensing, Visual, and Sequential learning styles. Educational modality did not present significant differences in learning style preferences, although variations were observed in the Processing dimension, with a higher preference for the Active style among face-to-face students. Sex and age influenced only the Understanding dimension.

Six well-defined latent profiles were identified; however, these profiles were not significantly associated with sociodemographic variables. The CART classification model showed poor performance, highlighting the limited predictive power of these variables.

The main conclusion is that learning style preferences reflect individual cognitive patterns rather than external sociodemographic characteristics. The latent profiles offer a more personalized and effective pedagogical approach, contributing to improved equity and quality in higher education. This study underscores the importance of incorporating motivational and metacognitive variables in future research and educational interventions.
DOI: 10.15468/dl.bztvaw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella kogelbergensis Turner & Channing, 2017",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030989-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15621055
title: Oscillate and Renormalize: Fast Phonons Reshape the Kondo Effect in Flat Band Systems

description: Includes all numerical data generated for "Oscillate and Renormalize: Fast Phonons Reshape the Kondo Effect in Flat Band Systems"
DOI: 10.5281/zenodo.15621056
title: Oscillate and Renormalize: Fast Phonons Reshape the Kondo Effect in Flat Band Systems

description: Includes all numerical data generated for "Oscillate and Renormalize: Fast Phonons Reshape the Kondo Effect in Flat Band Systems"
DOI: 10.15468/dl.7e6fn9
title: Occurrence Download

description: A dataset containing 21266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia psilostachya DC."
 ]
}

 The dataset includes 21266 records from 452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030990-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3d7av
title: Occurrence Download

description: A dataset containing 4174 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Discoglossus pictus Otth, 1837"
 ]
}

 The dataset includes 4174 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021602-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.967cju
title: Occurrence Download

description: A dataset containing 906782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 906782 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0417165-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kjtbx
title: Occurrence Download

description: A dataset containing 1770 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spartina"
 ]
}

 The dataset includes 1770 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168836-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf8lhd
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.50026 41.92658,2.10427 41.92658,2.10427 42.56791,0.50026 42.56791,0.50026 41.92658))",
 "HasCoordinate is true",
 "TaxonKey is Potentilla pensylvanica L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005279-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53cufn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Luidia tessellata Lutken, 1859"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0417741-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akddy7
title: Occurrence Download

description: A dataset containing 2756 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dysmicoccus Ferris, 1950"
 ]
}

 The dataset includes 2756 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168900-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11391054
title: Functional Near-Infrared Spectroscopy Reveals Delayed Hemodynamic Changes in the Primary Motor Cortex During Fine Motor Tasks and Decreased Interhemispheric Connectivity in Parkinson's Disease Patients

description: This dataset contains functional near-infrared spectroscopy (fNIRS) data from 20 patients with Parkinson’s disease and 20 age- and sex-matched healthy subjects without movement disorders. There are 3 folders, each corresponding to a different task: a 10-second finger-tapping task, a 2-minute walking task, and a 6-minute resting-state. When using this dataset, please cite our work:



Guevara, E., Rivas-Ruvalcaba, F. J., Kolosovas-Machuca, E. S., Ramírez-Elías, M., Zapata, R. D. de L., Ramirez-GarciaLuna, J. L., & Rodríguez-Leyva, I. (2024). Parkinson’s disease patients show delayed hemodynamic changes in primary motor cortex in fine motor tasks and decreased resting-state interhemispheric functional connectivity: A functional near-infrared spectroscopy study. Neurophotonics, 11(2), 025004. https://doi.org/10.1117/1.NPh.11.2.025004





Guevara, E., Solana-Lavalle, G., & Rosas-Romero, R. (2024). Integrating fNIRS and machine learning: Shedding light on Parkinson’s disease detection. EXCLI Journal, 23, 763–771. https://doi.org/10.17179/excli2024-7151









Guevara, E., Kolosovas-Machuca, E. S., & Rodríguez-Leyva, I. (2024). Exploring motor cortex functional connectivity in Parkinson’s disease using fNIRS. Brain Organoid and Systems Neuroscience Journal, 2, 23–30. https://doi.org/10.1016/j.bosn.2024.04.001
DOI: 10.5281/zenodo.7966829
title: Functional Near-Infrared Spectroscopy Reveals Delayed Hemodynamic Changes in the Primary Motor Cortex During Fine Motor Tasks and Decreased Interhemispheric Connectivity in Parkinson's Disease Patients

description: This dataset contains functional near-infrared spectroscopy (fNIRS) data from 20 patients with Parkinson’s disease and 20 age- and sex-matched healthy subjects without movement disorders. There are 3 folders, each corresponding to a different task: a 10-second finger-tapping task, a 2-minute walking task, and a 6-minute resting-state. When using this dataset, please cite our work:



Guevara, E., Rivas-Ruvalcaba, F. J., Kolosovas-Machuca, E. S., Ramírez-Elías, M., Zapata, R. D. de L., Ramirez-GarciaLuna, J. L., & Rodríguez-Leyva, I. (2024). Parkinson’s disease patients show delayed hemodynamic changes in primary motor cortex in fine motor tasks and decreased resting-state interhemispheric functional connectivity: A functional near-infrared spectroscopy study. Neurophotonics, 11(2), 025004. https://doi.org/10.1117/1.NPh.11.2.025004





Guevara, E., Solana-Lavalle, G., & Rosas-Romero, R. (2024). Integrating fNIRS and machine learning: Shedding light on Parkinson’s disease detection. EXCLI Journal, 23, 763–771. https://doi.org/10.17179/excli2024-7151









Guevara, E., Kolosovas-Machuca, E. S., & Rodríguez-Leyva, I. (2024). Exploring motor cortex functional connectivity in Parkinson’s disease using fNIRS. Brain Organoid and Systems Neuroscience Journal, 2, 23–30. https://doi.org/10.1016/j.bosn.2024.04.001
DOI: 10.15468/dl.vwmw3v
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycosphaerella maculiformis (Pers.) J.Schröt.",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124315-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq3af3
title: Occurrence Download

description: A dataset containing 34906 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phytoplankton North Adriatic-INTERREG"
 ]
}

 The dataset includes 34906 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0418157-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzxa8t
title: Occurrence Download

description: A dataset containing 3443 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioderma Stephens, 1835"
 ]
}

 The dataset includes 3443 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168913-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8ucmy
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-86.1965541000000002 41.6610865000000032, -86.1965541000000002 41.6619228100000001, -86.1965541000000002 41.6628706300000005, -86.1965541000000002 41.6641529700000035, -86.1965541000000002 41.6651007899999968, -86.1965541000000002 41.6661601099999999, -86.1965541000000002 41.6666619000000011, -86.1952168499999942 41.6666619000000011, -86.1936010400000043 41.6666619000000011, -86.1927095599999973 41.6666619000000011, -86.1914837799999987 41.6666619000000011, -86.1905365799999998 41.6666619000000011, -86.1897565000000014 41.6666619000000011, -86.1897565000000014 41.6655468200000030, -86.1897565000000014 41.6647105099999990, -86.1897565000000014 41.6634839199999973, -86.1897565000000014 41.6628148699999983, -86.1897565000000014 41.6618112999999965, -86.1897565000000014 41.6610865000000032, -86.1912609099999969 41.6610865000000032, -86.1928767099999931 41.6610865000000032, -86.1942139300000036 41.6610865000000032, -86.1950496900000047 41.6610865000000032, -86.1965541000000002 41.6610865000000032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 136 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099279-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnxstf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alternaria eureka E.G.Simmons",
 {
 "or" : [
 "Country is United States",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0126845-210914110416597/datasets/export for details.
DOI: 10.15468/dl.d6hfkq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-76.8694195000000065 40.2571639000000019, -76.8694195000000065 40.2578077399999970, -76.8694195000000065 40.2583477299999970, -76.8694195000000065 40.2587423399999977, -76.8694195000000065 40.2592408000000006, -76.8688590299999959 40.2592408000000006, -76.8683400999999975 40.2592408000000006, -76.8678419200000036 40.2592408000000006, -76.8673229799999973 40.2592408000000006, -76.8668040400000052 40.2592408000000006, -76.8661812999999938 40.2592408000000006, -76.8661812999999938 40.2589915699999992, -76.8661812999999938 40.2588669599999989, -76.8661812999999938 40.2582646600000018, -76.8661812999999938 40.2579115799999983, -76.8661812999999938 40.2577869699999980, -76.8661812999999938 40.2577661999999989, -76.8661812999999938 40.2575169699999975, -76.8661812999999938 40.2571639000000019, -76.8665134299999977 40.2571639000000019, -76.8668870700000042 40.2571639000000019, -76.8674060099999963 40.2571639000000019, -76.8680494900000042 40.2571639000000019, -76.8683193399999993 40.2571639000000019, -76.8687759999999969 40.2571639000000019, -76.8691081300000008 40.2571639000000019, -76.8694195000000065 40.2571639000000019))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099380-210914110416597/datasets/export for details.
DOI: 10.15468/dl.4tn4b3
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "Geometry POLYGON((131.76433 37.19927,132.02406 37.19927,132.02406 37.29626,131.76433 37.29626,131.76433 37.19927))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 203 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090109-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggd4hq
title: Occurrence Download

description: A dataset containing 3713 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Necrobia Olivier, 1800"
 ]
}

 The dataset includes 3713 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168916-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.