{"authors":[{"id":null,"fullName":"Tigli, Maddalena","name":"Maddalena","surname":"Tigli","rank":1,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0001-8083-0589"},"provenance":null}},{"id":"orcid_______::cdba68718797ba195890d9fd443cf611","fullName":"Marsh Rossney, Joe","name":"Joe","surname":"Marsh Rossney","rank":2,"pid":{"id":{"scheme":"orcid","value":"0000-0002-8082-8566"},"provenance":null}},{"id":"orcid_______::8032461e706f97a8e56f6b890c1e7f28","fullName":"Andrews, Christopher","name":"Christopher","surname":"Andrews","rank":3,"pid":{"id":{"scheme":"orcid","value":"0000-0003-2428-272x"},"provenance":null}},{"id":null,"fullName":"Dick, Jan","name":"Jan","surname":"Dick","rank":4,"pid":{"id":{"scheme":"orcid_pending","value":"0000-0002-4180-9338"},"provenance":null}}],"openAccessColor":null,"publiclyFunded":null,"eoscIfGuidelines":null,"type":"dataset","language":{"code":"und","label":"Undetermined"},"countries":null,"subjects":null,"mainTitle":"Computed Outputs from the BioDT Recreational Potential Model for Scotland for Two Types of Recreationalist","subTitle":null,"descriptions":["This dataset comprises of two five-layer raster files representing the Recreational Potential (RP) of Scotland for two distinct user personas  (Dick et al., 2022, p. 5) and is the output of the Recreational Potential model applied across the whole of Scotland.    Soft Recreationalists (SR_RP_Scotland.tif): Personas who value tranquil, accessible landscapes and proximity to natural water features, and who typically avoid steep, harsh, or highly modified terrain.    Hard Recreationalists (HR_RP_Scotland.tif): Personas who seek remote, physically challenging environments and tend to avoid built-up or heavily managed areas.    Each raster contains five layers. The first four represent individual component contributions to the recreational potential, and the fifth layer represents the overall Recreatinal Potential (RP), derived from combining those components.  Layer structure (for both SR and HR datasets):    SLSRA (landscape component):  Represents the landscape features contribution the recreational potential.  FIPS_N  (natural features component): Represents the natural features contribution the recreational potential.  FIPS_I (infrastructure features component): Represents the infrastructural features contribution the recreational potential.  Water (water component):  Represents the water features contribution the recreational potential.  Recreational_Potential (recreational potential): Represents the overall Recreational Potential (RP).   All raster layers have values ranging from 0 to 1 representing the RP, where 1 is the maximum contribution to the RP, and 0 is no contribution. Cells with NAs values represent areas outside Scottish land (e.g., sea, foreign territory). All values in all layers have been rounded to two decimal places.     format   raster (GeoTIFF)    layers 5SR_RP_Scotland: \"SR_SLSRA\", \"SR_FIPS_N\", \"SR_FIPS_I\", \"SR_Water\", \"SR_Recreational_Potential\"HR_RP_Scotland: \"HR_SLSRA\", \"HR_FIPS_N\", \"HR_FIPS_I\", \"HR_Water\", \"HR_Recreational_Potential\"   resolution   20 x 20 m    extent   -10000, 660000, 460000, 1220000  (xmin, xmax, ymin, ymax)    CRS   OSGB36 / British National Grid (EPSG:27700)    file size   SR_RP_Scotland: 1.3 GBHR_RP_Scotland: 1.2 GB"],"publicationDate":"2025-06-30","publisher":"Zenodo","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::c7f64887ef021f0a666dbff89780c4bc","originalIds":["50|datacite____::c7f64887ef021f0a666dbff89780c4bc","10.5281/zenodo.15772109","oai:zenodo.org:15772109","50|od______2659::c7f64887ef021f0a666dbff89780c4bc","50|datacite____::db89b9802771665e62d52c70b31ee736","10.5281/zenodo.15772108"],"pids":[{"scheme":"doi","value":"10.5281/zenodo.15772109"},{"scheme":"doi","value":"10.5281/zenodo.15772108"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.2251732E-9,"popularity":2.342466E-9,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"corda_____he::bf21fecc7e6e0abbeabba5dc24bd65f9","code":"101057437","acronym":"BioDT","title":"Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities","funder":"European Commission","pids":[{"scheme":"doi","value":"10.3030/101057437"}]}],"organizations":[{"legalName":"UK Centre for Ecology & Hydrology","acronym":"UKCEH","id":"openorgs____::a6f3b1e3f55bd8a3cc54c29a3511168d","pids":[{"scheme":"GRID","value":"grid.494924.6"},{"scheme":"wikidata","value":"Q5062417"},{"scheme":"Wikidata","value":"Q5062417"},{"scheme":"FundRef","value":"501100011027"},{"scheme":"PIC","value":"897953251"},{"scheme":"fundref","value":"501100011027"},{"scheme":"OrgReg","value":"UK1020"},{"scheme":"ROR","value":"https://ror.org/00pggkr55"}]}],"communities":[{"code":"lifewatch-eric","label":"LifeWatch ERIC","provenance":null},{"code":"eosc","label":"EOSC","provenance":null}],"collectedFrom":[{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}],"instances":[{"pids":[{"scheme":"doi","value":"10.5281/zenodo.15772109"}],"license":"CC BY","type":"Dataset","urls":["https://dx.doi.org/10.5281/zenodo.15772109"],"publicationDate":"2025-06-30","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.15772109"}],"alternateIdentifiers":[{"scheme":"oai","value":"oai:zenodo.org:15772109"}],"license":"CC BY","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Dataset","urls":["http://dx.doi.org/10.5281/zenodo.15772109","https://zenodo.org/records/15772109"],"publicationDate":"2025-06-30","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.15772108"}],"license":"CC BY","type":"Dataset","urls":["https://dx.doi.org/10.5281/zenodo.15772108"],"publicationDate":"2025-06-30","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}}],"links":[{"header":{"relationType":"resultProject","relationClass":"isProducedBy","relatedIdentifier":"corda_____he::bf21fecc7e6e0abbeabba5dc24bd65f9","relatedRecordType":"project","relationProvenance":"sysimport:crosswalk:repository","trust":"0.9"},"collectedfrom":[{"dsId":"openaire____::3f264f93cf3b0cfc4ede188a6300455c","dsName":"CORDA - 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