cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8ttm5z
title: Occurrence Download

description: A dataset containing 2136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haemorhous purpureus (J.F.Gmelin, 1789)",
 "Year 2011-2018"
 ]
}

 The dataset includes 2136 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0175248-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf4xgw
title: Occurrence Download

description: A dataset containing 10826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis rotundifolia Michx."
 ]
}

 The dataset includes 10826 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162266-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzimlo
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Pilgerodendron uviferum Florin",
 "DecimalLatitude is greater than or equal to -90",
 "DecimalLongitude is greater than or equal to -180"
 ]
}

 The dataset includes 216 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028860-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjpj93
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Telogalla olivieri (Vouaux) Nik.Hoffm. & Hafellner, Sarcoleotia globosa (Sommerf.) Korf)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 337 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163827-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.759kjq
title: Occurrence Download

description: A dataset containing 3885 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fejervarya cancrivora (Gravenhorst, 1829)"
 ]
}

 The dataset includes 3885 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0174440-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2ak8h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 {
 "or" : [
 "Locality is Gateway National Recreation Area",
 "Locality is Gateway National Recreation Area - Jamaica Bay, Highlands US-NJ 40.42100, -73.99134",
 "Locality is Gateway National Recreation Area - Jamaica Bay, New York US-NY 40.61691, -73.82500",
 "Locality is Gateway National Recreation Area - Sandy Hook, Atlantic Highlands US-NJ (40.4666,-73.9983)",
 "Locality is Gateway National Recreation Area - Sandy Hook, Highlands US-NJ (40.4276,-73.9841)",
 "Locality is Gateway National Recreation Area - Sandy Hook, Middletown US-NJ (40.4665,-73.9984)",
 "Locality is Gateway National Recreation Area - Sandy Hook-Road to Fishing Beach",
 "Locality is Gateway National Recreation Area - Staten Island, New York US-NY (40.5532,-74.1100)",
 "Locality is Gateway National Recreation Area, Floyd Bennett Field",
 "Locality is Gateway National Recreation Area, Jo Co Marsh."
 ]
 },
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044682-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ttvg7
title: Occurrence Download

description: A dataset containing 9539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus delawarensis Ord, 1815",
 "Year 2011-2018"
 ]
}

 The dataset includes 9539 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163834-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yq2gvk
title: Occurrence Download

description: A dataset containing 17316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year is less than or equal to 2022"
 ]
}

 The dataset includes 17316 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072692-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm82pu
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Chirostylidae"
 ]
}

 The dataset includes 18 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072693-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-iucnpri
title: A Draft Reference Library of IUCN Listed Animal Species

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.xtxypz
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CSIC-Real Jardín Botánico-Colección de Hongos (MA-Fungi)",
 "TaxonKey is Lyophyllaceae"
 ]
}

 The dataset includes 217 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072694-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.28219406
title: Supplementary information files for "What explains the spread of misinformation in online personal messaging networks? Exploring the role of conflict avoidance"

description: Supplementary files for article "What explains the spread of misinformation in online personal messaging networks? Exploring the role of conflict avoidance"Online personal messaging platforms such as WhatsApp and Facebook Messenger are now hugely popular around the world. Yet their role in the spread and social correction of misinformation remains under-researched. We carried out in-depth, semi-structured interviews with the UK public (N=102) to explore how social relationships and technological design interact and foster norms regulating how people respond when their everyday social ties share misinformation on these platforms. Conceptualizing messaging as hybrid public-interpersonal communication, we develop a framework that situates online political talk in the context of everyday social interaction. We show that, among our participants, a norm of conflict avoidance is particularly powerful on these platforms and makes people reluctant to speak out. Conflict avoidance should therefore be taken seriously as a contributor to the diffusion of misinformation in everyday life. Policymakers and other stakeholders, including news organizations, should explore new, tailored ways to empower citizens to challenge misinformation in these important online spaces, where automated and algorithmic interventions are impossible.<br>© The Authors CC BY-NC-ND 4.0
DOI: 10.17028/rd.lboro.28219406.v1
title: Supplementary information files for "What explains the spread of misinformation in online personal messaging networks? Exploring the role of conflict avoidance"

description: Supplementary files for article "What explains the spread of misinformation in online personal messaging networks? Exploring the role of conflict avoidance"Online personal messaging platforms such as WhatsApp and Facebook Messenger are now hugely popular around the world. Yet their role in the spread and social correction of misinformation remains under-researched. We carried out in-depth, semi-structured interviews with the UK public (N=102) to explore how social relationships and technological design interact and foster norms regulating how people respond when their everyday social ties share misinformation on these platforms. Conceptualizing messaging as hybrid public-interpersonal communication, we develop a framework that situates online political talk in the context of everyday social interaction. We show that, among our participants, a norm of conflict avoidance is particularly powerful on these platforms and makes people reluctant to speak out. Conflict avoidance should therefore be taken seriously as a contributor to the diffusion of misinformation in everyday life. Policymakers and other stakeholders, including news organizations, should explore new, tailored ways to empower citizens to challenge misinformation in these important online spaces, where automated and algorithmic interventions are impossible.<br>© The Authors CC BY-NC-ND 4.0
DOI: 10.15468/dl.3wjjec
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CSIC-Real Jardín Botánico-Colección de Hongos (MA-Fungi)",
 "TaxonKey is Entolomataceae"
 ]
}

 The dataset includes 260 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072695-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12770/be8828f0-9390-4e5d-8f30-6831463d4d4b
title: EMODnet Bathymetry - World Coastline version 2024

description: The EMODnet Bathymetry World Coastline is available as a WFS service from EMODnet Bathymetry. The service URL is: https://ows.emodnet-bathymetry.eu/wfs. The layer contains vector lines derived from land polygons available from OpenStreetMap. The original source url is https://osmdata.openstreetmap.de/. Parts of these polygons have been modified for use in EMODnet Bathymetry.
In addition to the OSM EMODnet default coastline, three sub-layers are available as part of the EMODnet world coastline service. These sub-layers contain the best-estimate coastlines for Europe determined by Dutch research institute Deltares from satellite data (typically Sentinel-2 and Landsat-8) and in combination with the Global Tide Surge Model (GTSM) processed into digital coastlines for the European seas at LAT (Lowest Astronomical Tide), MSL (Mean-Sea-Level), and MHW (Mean-High-Water). The level of detail is bound to the resolution of the satellite sensor (e.g. 10m for Sentinel-2). The latest December 2022 version covers the entire coastline of Europe and now also part of the Caribbean. 
A detailed paper is available describing the methodology used to determine the three versions of the satellite derived coastline: 
https://emodnet.ec.europa.eu/sites/emodnet.ec.europa.eu/files/public/EMODnet-Bathymetry_2022_satellite_derived_coastlines_Deltares-Feb2023.pdf
DOI: 10.15468/dl.jmst4r
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eichhornia crassipes (Mart.) Solms",
 "Year is 2022"
 ]
}

 The dataset includes 83 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072697-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12770/cf51df64-56f9-4a99-b1aa-36b8d7b743a1
title: EMODnet Digital Bathymetry (DTM 2024)

description: The "EMODnet Digital Bathymetry (DTM)- 2024" is a multilayer bathymetric product for Europe’s sea and oversea basins covering:
• the Greater North Sea, including the Kattegat and stretches of water such as Fair Isle, Cromarty, Forth, Forties,Dover, Wight, and Portland 
• the English Channel and Celtic Seas 
• Western Mediterranean, the Ionian Sea and the Central Mediterranean Sea 
• Iberian Coast and Bay of Biscay (Atlantic Ocean) 
• Adriatic Sea (Mediterranean) 
• Aegean - Levantine Sea (Mediterranean). 
• Madeira and Azores (Macaronesia) 
• Baltic Sea 
• Black Sea 
• Norwegian and Icelandic Seas 
• Canary Islands (Macaronesia) 
• Arctic region and Barentz Sea
and the Caribbean Sea.

The DTM is based upon 21937 bathymetric survey data sets and Composite DTMs that have been gathered from 64 data providers from 28 countries riparian to European seas and beyond. Also Satellite Derived Bathymetry data products have been included fro Landsat 8 and Sentinel satellite images. Areas not covered by observations are completed by integrating GEBCO 2022 and IBCAO V4.

The source reference layer in the portal viewing service gives metadata of the data sets used with their data providers; the metadata also acknowledges the data originators. The incorporated survey data sets itself can be discovered and requested for access through the Common Data Index (CDI) data discovery and access service that in December 2024 contained &gt; 41.000survey data sets from European data providers for global waters. The Composite DTMs can be discovered through the Sextant Catalogue service. Both discovery services make use of SeaDataNet standards and services and have been integrated in the EMODnet portal (https://emodnet.ec.europa.eu/en/bathymetry#bathymetry-services ).
In addition, the EMODnet Map Viewer (https://emodnet.ec.europa.eu/geoviewer/ ) gives users wide functionality for viewing and downloading the EMODnet digital bathymetry such as:
• water depth (refering to the Lowest Astronomical Tide Datum - LAT) in gridded form on a DTM grid of 1/16 * 1/16 arc minute of longitude and latitude (ca 115 * 115 meters).
• option to view depth parameters of individual DTM cells and references to source data
• option to download DTM in 58 tiles in different formats: ESRI ASCII, XYZ, EMODnet CSV, NetCDF (CF), GeoTiff and SD
• option to visualize the DTM in 3D in the browser without plug-in
• layer with a number of high resolution DTMs for coastal regions
• layer with wrecks from the UKHO Wrecks database.

The EMODnet DTM is also available by means of OGC web services (WMS, WFS, WCS, WMTS), which are specified at the EMODnet Bathymetry portal. 
The original datasets themselves are not distributed but described in the metadata services, giving clear information about the background survey data used for the DTM, their access restrictions, originators and distributors and facilitating requests by users to originator.
DOI: 10.5883/ds-binis
title: First assessment of biofouling assemblages in the northern Red Sea, an important region for marine non-indigenous species transfer

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.15468/dl.4fcdkx
title: Occurrence Download

description: A dataset listing the 21 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-50.58624 -25.47123,-50.55463 -25.47212,-50.5329 -25.47301,-50.51018 -25.47613,-50.4929 -25.47881,-50.46969 -25.47658,-50.45438 -25.47257,-50.44549 -25.46097,-50.44845 -25.44715,-50.46376 -25.45206,-50.47117 -25.4641,-50.48697 -25.46543,-50.49932 -25.46053,-50.52648 -25.46053,-50.55611 -25.45651,-50.58229 -25.45741,-50.58624 -25.47123))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 21 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072684-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a846se
title: Occurrence Download

description: A dataset containing 1404934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 1404934 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072656-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48612/msupe/fd1u-7nkk-x5t7
title: База лонгитюдного исследования "Роль школьного театра в развитии коммуникации подростков"

description: Экспериментальное исследование с применением деятельностной технологии «Мультимедиа-театр» проводилось проектной группой Центра междисциплинарных исследований современного детства МГППУ на базе МБОУ «Школа № 4» г. Кашира Московской области. 
В исследовании приняли участие 79 подростков, из них 42 девушки и 37 юношей, возраст 13-14 лет в 2023 г., 14-15 лет в 2024 г., представляющих два экспериментальных класса с разным опытом творческой и самостоятельной работы, а также один контрольный. Исследование включало три среза по каждому их двух тестов - Методики изучения социализированности подростков М.И. Рожкова и Теста коммуникативных умений Л. Михельсона для подростков и старшеклассников (в адаптации Ю.З. Гильбуха).
DOI: 10.15468/dl.br9v6v
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.91096 42.71025,-79.30446 42.71025,-79.30446 43.60561,-80.91096 43.60561,-80.91096 42.71025))",
 "HasGeospatialIssue is false",
 "TaxonKey is Neogobius melanostomus (Pallas, 1814)",
 "Year 2010-2025"
 ]
}

 The dataset includes 231 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072700-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/5evv-jk25
title: League of Legends Esports Player Match Data (2019-2024)

description: This dataset contains detailed player end-game statistics (e.g., number of kills) and in-game events (e.g., player kills) from all professional League of Legends matches held between September 15, 2019, and September 15, 2024. It encompasses a total of 37,388 matches across 392 tournaments, featuring 4,927 unique players. Matches come from all regions and tiers of play. Initially released as part of the research paper PandaSkill: Player Performance and Skill Rating in Esports – Application to League of Legends, the dataset supports a wide range of applications, including performance analysis, esports analytics, and skill rating modeling.
DOI: 10.35097/1934
title: Systematic User Evaluation of a Second Device based cast-as-intended verifiability Approach

description: Contains:
- 4 versions of the debriefing used in the study (Type A & Type B - each for detected and not detected)
- The structure of the online questionnaire for phase 1 & 2
- The informed consent for phase 1 & 2
- The study material participants received (role card & invitation letter)
DOI: 10.21227/5j43-k911
title: Weather Dataset (Malaysia & Nigeria)

description: Power Line Communication (PLC) is a network technology that supports simultaneous deliveryofelectricityanddataoverpowerlines.Thepowerinfrastructuresareprimarilydesignedtodeliver electricity; and can be utilized to transmit conventional communication data upon deployment of PLC system.Climatechangemakesweathereventsbecomemorevaryingandextremes.Suchevents(temperature, humidity, storms, wind, pressure, rain, etc.) can potentially influence reliability of data transmission of weather-exposed PLC-based power lines. This paper, investigates and analyses the potential impact of multipleweathereventsonPLC-basedsystemregarding‘throughput’.Fortheanalysis,itproposesaMulti- linearRegressionModel(MRM)developedfromNeuralNetworkRegression(NNR)techniqueofMachine Learning(ML) topredict regionalperformance of‘throughput’ inMalaysia andNigeria. Thepredictionis evaluatedusingtheITU–TG.9960(20019–2023)standardthatrecommends85–98%‘throughput’perfor- mance for wireline-based technologies like the PLC. Related works from US and China regions were also considered for comparison and evaluation. The regional prediction on ‘throughput’ performance obtained forMalaysiais71.62%,whileforNigeria’sNortheast,Northwest,Northcentral,Southeast,Southwest,and Southsouth are; 99.97%, 79.85%, 96.59%, 81.89%, 86.32%, and 74.46%; respectively. Prediction below the G.9960 recommendation indicates that regional weather events are not favourable for PLC-based data transmission,andcanpotentiallyinfluenceit.Asingleweatherevent(wind)wasinvestigatedandanalyzedin theEasternregionofChina,wheretheanalysisachieved0.995onthefitnessofdata(R–squared)throughML process.Thispaperachievesregionalfitnessofdataasfollows:Malaysia(0.985),andNigeria’sNortheast, Northwest, Northcentral, Southwest, Southeast, and Southsouth; 0.980, 0.953, 0.966, 0.984, 0.989, and 0.978 respectively. Another event (thunderstorms) was regressively examined to determine its impact on powerlinesacrosstheSouthwestUSwhereitachieved0.630ondatafitness.Onthesameevent,thispaper achieves regional fitness as follows; Malaysia (0.970), and Nigeria’s Northeast, Northwest, Northcentral, Southwest,Southeast,andSouthsouthas;0.980,0.870,0.907,0.956,0.971,and0.940respectively.TheR- square value (0 – 1) indicates reliability of ML-based analysis by describing suitability and quality of data intheprocess.Thispaperoffersthefollowing;investigatesandanalysestheinfluenceofregionalweather on PLC-based transmission; provides weather-based references to power, communication, and regulatory industriesontheimplementationandmaintenanceofPLC-basednetworks;providespotentialfordeploying the analysis to other communication technologies and regions beyond; provides opportunities to optimize weather-dependent PLC and other related communication networks.