cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12732089
title: Data from: Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas

description: General Information

This dataset was used in the study titled "Using artificial neural networks and citizen science data to assess jellyfish presence along coastal areas". The study employs citizen science data collected from the Infomedusa application to assess the presence of jellyfish on beaches along the Andalusian coast, along with environmental data to analyze the factors influencing jellyfish distribution. The study aims to employ machine learning techniques, specifically a Multi-Layer Perceptron (MLP) neural network, to classify user comments on the presence or absence of jellyfish and analyze how environmental factors such as sea surface temperature, wind direction, and wind speed influence jellyfish distribution.

Dataset Columns



Fecha: Timestamp of the comment made by the user in the Infomedusa application.

Municipio: Name of the municipality where the beach mentioned in the comment is located.

Jellyfish: Binary variable indicating the presence (1) or absence (0) of jellyfish according to the user’s comment.

Comunidad: Autonomous community to which the municipality belongs.

Provincia: Province to which the municipality belongs.

Latitud: Geographical latitude of the municipality where the comment was made.

Longitud: Geographical longitude of the municipality where the comment was made.

Set: Set of grouped beaches for geographical analysis. Each set includes beaches close to each other and the nearest weather station.

Month: Month when the comment was made.

Longitud_sea: Longitude of the nearest point in the sea for which environmental data was available.

Latitud_sea: Latitude of the nearest point in the sea for which environmental data was available.

SST: Sea Surface Temperature at the nearest point in the sea to the municipality, obtained from the Copernicus Marine Environment Monitoring Service.

Wind_dir: Wind direction measured at the weather station closest to the municipality, provided by the Spanish Meteorological Agency (AEMET).

Wind_speed: Wind speed measured at the weather station closest to the municipality, provided by the AEMET.


Data Sources



Infomedusa APP: Application developed by the Provincial Council of Malaga and Aula del Mar of Malaga to monitor the presence of jellyfish through citizen participation.

Copernicus Marine Environment Monitoring Service (CMEMS): Provides data on sea surface temperature with an hourly temporal resolution and a spatial resolution of 0.0625° x 0.0625°.

Agencia Estatal de Meteorología (AEMET): Provides daily data on wind direction and speed.
DOI: 10.5281/zenodo.4062044
title: European Exposure Model Data Repository

description: A repository of the exposure data used to develop the ESRM20 exposure models. More information available here: https://eu-risk.eucentre.it/exposure/
DOI: 10.5281/zenodo.50004
title: Pipistrellus Pipistrellus Tdoa

description: TDOA(t) of Pipistrellus pipistrellus recording
DOI: 10.5281/zenodo.6778741
title: P2I questionnaire dataset

description: Dataset of the Path2Integrity project from the P2I questionnaire. The results of the versions S, M, and Y are combined in one excel sheet. The data collection took place between 2020 and 2022.
DOI: 10.5281/zenodo.6778775
title: P2I feedback sheet dataset

description: Dataset of the Path2Integrity project from the P2I feedback sheet (P2IFS). The data collection took place between 2020 and 2022.
DOI: 10.5281/zenodo.7308510
title: Ginkgo Chauvel's deep white matter atlas of the human brain

description: <strong>Deep Chauvel's human white matter atlas.</strong> The deep white matter atlas of the human brain was built upon a cohort of 39 in vivo human magnetic resonance imaging (MRI) scans shared by the Human Connectome Project (HCP), registered on a template space (the MNI ICBM152 2009c non-linear asymmetric template). The construction of this atlas is based on the analysis of the anatomical and diffusion MRI dataset using the tractography and fiber clustering tools available from the Ginkgo toolbox (CEA, NeuroSpin, BAOBAB, GAIA, Ginkgo Team, https://framagit.org/cpoupon/gkg). The atlas can be visualized using the BrainVISA/Anatomist viewer available at https://brainvisa.info/web/download.html. <br> This atlas is composed of 39 white matter bundles including :<br> - symmetrically on both hemispheres, the anterior, superior and posterior thalamic radiations (optic radiations), the arcuate, dorsal and ventral cingulum, the cortico-spinal tract, the fornix, the frontal aslants, the inferior fronto-occipital fascicle, the inferior longitudinal fasciculus, the middle longitudinal fascicle, the optic radiations, the uncinate fascicle and the visual occipito-temporal fibers (also called ventral visual stream),<br> - interhemispheric bundles such as the anterior commissure and the Witelson's subdivisions of the corpus callosum (I, II, III, IV, V, VI, VII),<br> - cerebellar bundles, such as the hypothamic-subthalamic fibers and the cortico-ponto-cerebellar fibers,<br> The atlas is provided using the Anatomist *.bundles/*.bundlesdata format for which meta-information can be found in the *.bundles file among which:<br> - the labels of the different white matter bundles ('labels' entry),<br> - the number of streamlines populating each white matter bundle ('curve3d_counts' entry), in the same order as the 'labels' key,<br> - the total number of white matter bundles ('item_count' entry),<br> - the total number of streamlines ('curves_count' entry)
DOI: 10.5291/ill-data.6-07-83
title: Study of the uniaxial water dynamics in electrolyte solutions confined in oriented silica nanochannels
DOI: 10.5439/1182027
title: ARM: Vaisala Automatic Weather Station

description: Vaisala Automatic Weather Station
DOI: 10.5517/ccdc.csd.cc1n6rqb
title: CCDC 1525842: Experimental Crystal Structure Determination

description: Related Article: C. Borner, C. Kleeberg|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24233902
title: Urban river GHG dataset

description: Dataset of urban river GHG concentrations and fluxes and related physicochemical properties.
DOI: 10.6084/m9.figshare.8019518.v2
title: Working memory visual world linking hypothesis

description: This is a schematic I created that depicts a linking hypothesis for the visual world paradigm (Tanenhaus et al., 1995) proposed by Huettig, Olivers, & Hartsuiker (2011). They propose that items in the visual display must enter working memory to be bound to semantic and phonological representations. They provide a schematic (their Figure 2), but it is incomplete and suggests that spoken input directly enters the visuospatial working memory buffer. This is my attempt to make explicit the minimal components required to depict this view.<br>Version 2 better conforms to the proposal of Huettig et al. (2011).<br><br>Some elements (grids, silhouettes) are from publicdomainvectors.org, where all posted items are available with a CC0 license <br>(https://publicdomainvectors.org/en/public-domain/)
DOI: 10.12760/01-2013-1-04
title: A GIS-based flash flood runoff model using high resolution DEM and meteorological data

description: Natural hazards are historically a substantial threat to the progress and development of human communities. Floods hold a dominant position among these specific phenomena due to their fre-quent occurrence as well as their large spatial spread. Certainly, the aforementioned facts become more visible under the light of the assessment of the dramatic effects brought about by their occur-rence. Consequently, the need to deal with the impact of floods on human communities with an effective way leads to a systematic involvement of the international scientific community on the subject of "Management of Natural Hazards".
The present study describes an attempt to model surface runoff in a typical ungauged basin, which is directly related to catastrophic flood events, by creating a system based on GIS technology. The main object was to construct a direct unit hydrograph for an excess rainfall by estimating the stream flow response at the outlet of a watershed. Specifically, the methodology was based on the creation of a spatial database in GIS environment and on data editing. Moreover, rainfall time-series data came from Hellenic National Meteorological Service and they were processed in order to calculate flow time and the runoff volume. Apart from the meteorological data, background data such as topography, drainage network, land cover and geological data were also collected. A high resolution DEM was of great importance in order to achieve the final result. The study area is the sub-basin of Archaia Olympia (Kladeos sub-basin) in Greece, and the examined event occurred on February 5th, 2012.
DOI: 10.15156/bio/2483915
title: UNITE QIIME release for Fungi

description: Three sets of QIIME files are released, corresponding to the SHs resulting from clustering at the 3% distance (97% similarity) and 1% distance (99%) threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 3% distance level, some at the 2.5% distance level, some at the 2% distance level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files. Includes singletons set as RefS (in dynamic files).
DOI: 10.15156/bio/sh0744722.10fu
title: SH0744722.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.gsmfd3
title: Occurrence Download

description: A dataset containing 40806939 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Australia"
 ]
}

 The dataset includes 40806939 records from 1135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001109-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf4sku
title: Occurrence Download

description: A dataset containing 6005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is one of (China, Mongolia, Russian Federation, Kazakhstan)",
 "TaxonKey is Anser cygnoides (Linnaeus, 1758)"
 ]
}

 The dataset includes 6005 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016858-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvhh5x
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 1828 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005879-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypee3a
title: Occurrence Download

description: A dataset containing 4361 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eryngium foetidum L."
 ]
}

 The dataset includes 4361 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033561-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmnowe
title: Occurrence Download

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asclepias verticillata L.",
 "Geometry POLYGON((-150.38 6.21,-150.38 60.45,-40.17 60.45,-40.17 6.21,-150.38 6.21))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 806 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjaejw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocoryne noritoi Wongso"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154036-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enbcwu
title: Occurrence Download

description: A dataset containing 1587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Depth 0.0-9999.0m",
 "Geometry POLYGON((-35.38551 28.47396,-19.77973 28.47396,-19.77973 48.51584,-35.38551 48.51584,-35.38551 28.47396))",
 "HasGeospatialIssue is false",
 "Issue is one of (ccurrence status inferred from basis of record, Occurrence status inferred from individual count, Individual count conflicts with occurrence status, Individual count invalid, Depth min max swapped, Taxon match fuzzy, Taxon match higher rank, Continent coordinate mismatch, Coordinate uncertainty meters invalid, Coordinate precision invalid, Coordinate rounded, Geodetic datum assumed WGS84)",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "LifeStage is one of (Adult, Subadult, Unknown)",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1587 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004273-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txmqju
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocereus schmollii (Weing.) N.P.Taylor"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz2npb
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 15) Benthic foraminifera in Pliocene sediments of DSDP Hole 90-592"
 ]
}

 The dataset includes 924 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqfhjk
title: Occurrence Download

description: A dataset containing 3930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tanaididae"
 ]
}

 The dataset includes 3930 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004268-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c8s9b
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Phegopteris connectilis (Michx.) Watt"
 ]
}

 The dataset includes 99 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004275-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mho6sz
title: Occurrence Download

description: A dataset containing 1799 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Tetranychus urticae Koch, 1836",
 "TaxonKey is Tetranychus desertorum Banks, 1900"
 ]
}

 The dataset includes 1799 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twhpzq
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "TaxonKey is Parthenium hysterophorus L."
 ]
}

 The dataset includes 153 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027799-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kmc10
title: Occurrence Download

description: A dataset containing 20348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus frenatus Schlegel, 1836"
 ]
}

 The dataset includes 20348 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005880-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x8xba
title: Occurrence Download

description: A dataset containing 40995049 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset includes 40995049 records from 3347 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004271-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13176127
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.s7ysf2
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria bicornis",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 357 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018421-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnhsxd
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Palaemon modestus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018423-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqjcmp
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria bicornis",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018420-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mphzgk
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitaria bicornis",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018422-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17205623
title: Did COVID-19 Accelerate Digital Finance and Financial Inclusion? Cross-Country Evidence from Emerging Market

description: This dataset accompanies the article “Did COVID-19 Accelerate Digital Finance and Financial Inclusion? Cross-Country Evidence from Emerging Market”.

It contains descriptive statistics, regression results, figures, and supplementary materials for the empirical analysis conducted between 2018–2024. The dataset includes:





Figures: Country-specific data visualizations (India, Pakistan, Bangladesh, Kenya, Nigeria, Ghana).




Tables: Descriptive statistics, regression outputs, dummy regressions, Asia–Africa comparison, and COVID dummy analysis.




Workbooks: Consolidated Excel files with financial inclusion indicators, digital finance measures, and regression inputs.




EViews file: Raw econometric model (with time series and regression commands).



Data Sources:The dataset is derived from publicly available sources including:





World Bank Open Data (https://data.worldbank.org)




IMF Data (https://www.imf.org/en/Data)




Publicly accessible cryptocurrency market databases



Usage License:This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing reuse with proper citation.