Belgif Linked Data Fragments server

Matches in Data.gov.be for { <https://ipt.inbo.be/resource?r=mica-legacy-occurrences#Dataset> ?p ?o ?g. }

• Dataset accessRights PUBLIC @default.
• Dataset description "Moskratfänge in Flandern, Belgien, ist ein vom Forschungsinstitut für Natur und Wald (INBO) veröffentlichtes Ereignisdatensatz. IT-Containerinformationen über alle amtlich registrierten Fangmengen von Muskrat (Ondatra zibethicus) in und um Flandern, Belgien zwischen 1991 und 2018. Diese Daten werden von verschiedenen Managementakteuren bereitgestellt: die Flandern-Umweltbehörde (VMM), RATO vzw (RATO vzw), Polders and Wateringen (vvpw) sowie Land- und Gemeindefallen, die seit 1991 vom INBO aggregiert und analysiert wurden. Hier wird es als standardisiertes Darwin-Kernarchiv veröffentlicht und enthält für jeden Ereignisdatensatz eine Identifizierungsnummer, Datum, Ort, Probenahmeprotokoll (trap) und BeprobungEffort (Anzahl der Tage oder Fallen), wissenschaftlicher Name und die Organisation, die den Fang vorgenommen hat. Die Originaldatensätze Container von fast 450.000 Vorkommen, die auf GitHub verfügbar sind, sind jedoch nur Anwesenheitsdaten (über 103.000) in dieser Version enthalten, die ab 1991 zur Verfolgung der Muskratverteilung in Flandern verwendet werden können. Probleme mit dem Datensatz können unter https://github.com/inbo/mica-occurrences/issues gemeldet werden. Wir haben diesen Datensatz im Rahmen einer „Creative Commons Zero“-Ausnahme öffentlich zugänglich gemacht. Wir wären Ihnen dankbar, wenn Sie bei der Verwendung der Daten die INBO-Normen für die Datennutzung (https://www.inbo.be/en/norms-data-use) befolgen würden. Bei Fragen zu diesem Datensatz wenden Sie sich bitte über die in den Metadaten oder unter opendata@inbo.be. angegebenen Kontaktdaten an uns. Dieser Datensatz wurde für das MICA-Projekt veröffentlicht, das im Rahmen der Finanzhilfevereinbarung LIFE18 NAT/NL/001047 Mittel aus dem LIFE-Teilprogramm Umwelt der Europäischen Union erhielt." @default.
• Dataset description "Muskrat captures in Flanders, Belgium est an occurrence dataset published by the Research Institute for Nature and Forest (INBO). IT Contains Information on all officially registered captures of muskrat (Ondatra zibethicus) in and around Flanders, Belgium between 1991 and 2018. These data are provided by different management actors: the Flanders Environment Agency (VMM), lutte contre les rats de Flandre orientale (RATO vzw), Polders and Wateringen (vvpw), and provincial and municipal trappers, and gregated and analyzed by the INBO since 1991. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an ocdeviceID, date, location, samplingProtocol (trap) and samplingEffort (number of days or traps), scientific name, and the organization who made the capture. The original dataset contains close to 450.000 occurrences and is available on GitHub, but only presence records (sur 103.000) are included in this version, which can be used to track muskrat distribution in Flanders since 1991. Issues with the dataset can be reported at https://github.com/inbo/mica-occurrences/issues Nous étions have released this data to the public domain under a Creative Commons Zero waiver. Nous apprécions les normes INBO pour l’utilisation des données (https://www.inbo.be/en/norms-data-use). IF you have any questions regarding this data set don’t hesitate to contact via the contact information provided in the medata ou à l’adresse opendata@inbo.be. This dataset était published for the MICA, which received funding from the European Union’s LIFE Environment subprogramme under the grant agreement LIFE18 NAT/NL/001047." @default.
• Dataset description "Muskrat captures in Flanders, Belgium is an occurrence dataset published by the Research Institute for Nature and Forest (INBO). It container information on all officially registered captures of muskrat (Ondatra zibethicus) in and around Flanders, Belgium between 1991 and 2018. These data are provided by different management actors: the Flanders Environment Agency (VMM), RATO vzw (RATO vzw), Polders and Wateringen (vvpw), and provincial and municipal trappers, and aggregated and analysed by the INBO since 1991. Here it is published as a standardised Darwin Core Archive and including for each occurrence record an occurrenceID, date, location, sampling protocol (trap) and samplingEffort (number of days or traps), scientific name, and the organisation who made the capture. The original dataset containers close to 450.000 occurrences and is available on GitHub, but only presence records (over 103.000) are included in this version, which can be used to track muskrat distribution in Flanders as of 1991. Issues with the dataset can be reported at https://github.com/inbo/mica-occurrences/issues We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or at opendata@inbo.be. This dataset was published for the MICA project, which received funding from the European Union’s LIFE Environment sub-programme under the grant agreement LIFE18 NAT/NL/001047." @default.
• Dataset description "Muskrat captures in Flanders, Belgium is an occurrence dataset published by the Research Institute for Nature and Forest (INBO). It contains information on all officially registered captures of muskrat (Ondatra zibethicus) in and around Flanders, Belgium between 1991 and 2018. These data are provided by different management actors: the Flanders Environment Agency (VMM), Rattenbestrijding Oost-Vlaanderen (RATO vzw), Polders and Wateringen (vvpw), and provincial and municipal trappers, and aggregated and analyzed by the INBO since 1991. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, samplingProtocol (trap) and samplingEffort (number of days or traps), scientific name, and the organization who made the capture. The original dataset contains close to 450.000 occurrences and is available on GitHub, but only presence records (over 103.000) are included in this version, which can be used to track muskrat distribution in Flanders since 1991. Issues with the dataset can be reported at https://github.com/inbo/mica-occurrences/issues We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be. This dataset was published for the MICA project, which received funding from the European Union’s LIFE Environment sub-programme under the grant agreement LIFE18 NAT/NL/001047." @default.
• Dataset identifier "https://www.gbif.org/dataset/b7ee2a4d-8e10-410f-a951-a7f032678ffe" @default.
• Dataset language ENG @default.
• Dataset modified "2021-03-03T16:19:00+01:00" @default.
• Dataset publisher 2199335933 @default.
• Dataset spatial 3337388 @default.
• Dataset title "Captures de muskrat en Flandre, Belgique" @default.
• Dataset title "Fang von Muskratten in Flandern, Belgien" @default.
• Dataset title "Muskrat captures in Flanders, Belgium" @default.
• Dataset title "Muskrat captures in Flanders, Belgium" @default.
• Dataset type Dataset @default.
• Dataset contactPoint genid50568 @default.
• Dataset contactPoint genid50569 @default.
• Dataset distribution archive.do?r=mica-legacy-occurrences @default.
• Dataset keyword "LIFE" @default.
• Dataset keyword "MICA" @default.
• Dataset keyword "Observation" @default.
• Dataset keyword "Occurrence" @default.
• Dataset keyword "invasive alien species" @default.
• Dataset keyword "muskrat" @default.
• Dataset landingPage resource?r=mica-legacy-occurrences @default.
• Dataset theme AGRI @default.
• Dataset theme ENVI @default.