説明
MijnVISmaat - Exotic fish occurrences in Belgium is an occurrence dataset published by the Royal Dutch Angling Federation and the Flemish Research Institute of Nature and Forest (INBO). It contains alien freshwater fish occurrences recorded through MijnVISmaat, a mobile application used by anglers for catch registration. This app was developed and managed by the Royal Dutch Angling Association (Sportvisserij Nederland: https://www.sportvisserijnederland.nl/). With this app anglers register their catches with a smartphone to create their personal logbook of catches with location, species, length, weight, bait, depth and photos. The app also provides a social platform to share catches and information with fellow anglers. The dataset is part of an effort to mobilize alien species data for Belgium. Here it is published as a standardized Darwin Core Archive and includes for each record an occurrenceID, date, location, sampling protocol, the number of recorded individuals, status (present/absent) and scientific name. Issues with the dataset can be reported at https://github.com/inbo/mijnvismaat-occurrences
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.
データ レコード
この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、1,100 レコードが含まれています。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
Verspui R, Brosens D, Adriaens T, Verreycken H, Desmet P, Derks E (2021): MijnVISmaat - Exotic fish occurrences in Belgium. v1.5. Royal Dutch Angling Association. Dataset/Occurrence. http://ipt.nlbif.nl/resource?r=mijnvismaat-occurrences&v=1.5
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
パブリッシャーとライセンス保持者権利者は Royal Dutch Angling Association。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 34b382fc-8add-4565-965e-ca707d6fe48cが割り当てられています。 Netherlands Biodiversity Information Facility によって承認されたデータ パブリッシャーとして GBIF に登録されているRoyal Dutch Angling Association が、このリソースをパブリッシュしました。
キーワード
Occurrence; freshwater; invasive species; alien species; non-native species; citizen science; angling
連絡先
- メタデータ提供者 ●
- 最初のデータ採集者 ●
- 連絡先
- メタデータ提供者 ●
- 最初のデータ採集者 ●
- データ利用者
http://orcid.org/0000-0002-0846-911
- 最初のデータ採集者 ●
- 連絡先
- 最初のデータ採集者
地理的範囲
Belgium
| 座標（緯度経度） | 南 西 [49.49, 2.53], 北 東 [51.51, 6.41] |
|---|
生物分類学的範囲
This dataset contains exotic fish species
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Actinopterygii |
時間的範囲
| 開始日 / 終了日 | 2011-01-01 / 2020-07-17 |
|---|
プロジェクトデータ
The dataset was published within the framework of the TrIAS project (Tracking Invasive Alien Species, Vanderhoeven et al. 2017 - http://trias-project.be) .The project builds on two components: 1) The establishment of a data mobilization framework for alien species data from diverse data sources and 2) the development of data-driven procedures for risk evaluation based on risk modelling, risk mapping and risk assessment. TrIAS uses facilities from the Global Biodiversity Information Facility (GBIF, http://www.gbif.org), standards from the Biodiversity Information Standards organization (TDWG, http://www.tdwg.org) and expertise from LifeWatch INBO (http://lifewatch.inbo.be) to create and facilitate a systematic workflow. Alien species data are gathered from a large set of regional, national and international initiatives, including citizen science data, with a wide taxonomic scope from marine, terrestrial and freshwater environments. Observation data are funnelled in repeatable ways to GBIF. In parallel, a Belgian checklist of alien species is established, benefiting from various taxonomic and project-based checklists foreseen for GBIF publication. Published checklists and occurrence datasets can be found on the GBIF TrIAS community page (https://www.gbif.org/network/b153643d-735a-440f-a0e9-428b4f9d1cd2).
| タイトル | Tracking Invasive Alien Species (TrIAS) |
|---|---|
| 識別子 | BR/165/A1/TrIAS |
| ファンデイング | TrIAS is funded by the Belgian Science Policy Office (BELSPO) call for Belgian Research Action through Interdisciplinary Networks (BR/165/A1/TrIAS). |
| Study Area Description | Belgium |
プロジェクトに携わる要員:
収集方法
All the occurrences in this dataset are derived from fish catches (angling) by amateur fisherman in Belgium.
| Study Extent | The Royal Dutch Angling Association (Sportvisserij Nederland) animates a great sport fishing community in the Netherlands and Belgium. That community can quickly and easily register, share and analyze their catches through the app MijnVISmaat or website https://www.mijnvismaat.nl. The data in this dataset is a subset of the complete database and holds only data from alien fish in Belgium. |
|---|---|
| Quality Control | Data was validated using the provided location information and photos. |
Method step description:
- A subset of the MijnVISmaat data - alien fish species observed in Belgium - is extracted from the original database.
- Data was validated using the provided location information and photos.
- A custom R script is created on the ‘raw’ MijnVISmaat data to map the original data to Darwin Core as an occurrence core.
- The Darwin Core views are connected to the NLBIF IPT and documented with metadata.
- The dataset is published and registered with GBIF.
追加のメタデータ
| 代替識別子 | 34b382fc-8add-4565-965e-ca707d6fe48c |
|---|---|
| http://ipt.nlbif.nl/resource?r=mijnvismaat-occurrences |