Occurrences de vecteurs de maladies recensées à l'Hôpital de Mènontin

オカレンス(観察データと標本)
最新バージョン HOPITAL MENONTIN により出版 1月 10, 2020 HOPITAL MENONTIN
公開日:
2020年1月10日
公開者:
HOPITAL MENONTIN
ライセンス:
CC-BY 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 29,559 レコード French で (489 KB) - 更新頻度: unknown
EML ファイルとしてのメタデータ ダウンロード French で (11 KB)
RTF ファイルとしてのメタデータ ダウンロード French で (10 KB)

説明

Le présent fichier d'occurrence donne la distribution des vecteurs de maladie au Bénin. A partir des maladies, les vecteurs ont été identifiés à l'aide des spécialistes et des gestionnaires des bases de données.

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、29,559 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。:

Tchanou I (2020): Occurrences de vecteurs de maladies recensées à l'Hôpital de Mènontin. v1.0. HOPITAL MENONTIN. Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=menontin_animalia&v=1.0

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 HOPITAL MENONTIN。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: a542f2ae-f48e-48eb-95a4-db7b6cc83e99が割り当てられています。   GBIF Benin 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HOPITAL MENONTIN が、このリソースをパブリッシュしました。

キーワード

Occurrence; Observation

連絡先

Ignace Tchanou
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
Data manager
Hopital Mènontin
Littoral
BJ
(+229) 62780177

地理的範囲

Bénin

座標(緯度経度) 南 西 [6.272, 0.747], 北 東 [12.383, 3.779]

時間的範囲

開始日 / 終了日 2013-05-01 / 2019-08-31

プロジェクトデータ

Through key objectives, this project is designed to overcome the challenge of lack of capacities in Africa: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program: At least 20 Beninese students and 10 students of other nationalities will be yearly recruited and fully capacitated in the program (Months 4, 16, 28 and beyond the project) (Output 1). The courses will be recorded and shared worldwide (Outcome 4). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals): Through workshops, at least, each year, 50 other GBIF Benin partners will be trained in relevant topics of biodiversity informatics (Months 6, 12, 18, 24, 30, 34 and beyond) (Output 5) Objective 3: Fill data gaps in priority thematic areas of Benin and other countries involved in the project: Trained students will achieve data gaps analysis in priority thematic areas (Months 12 – 36 and beyond) (Output 6) and contribute to fill data gaps (Months 12 – 36 and beyond) (Output 7). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation: Trained students will use data to address needs of information (Months 12 – 36 and beyond) (Output 8) and largely disseminate the results via multimedia (Months 12 – 36 and beyond) (Output 9). Project Objective 5: Enhance staff development: We will provide internship opportunities to strengthen capacities of national trainers and most brilliant students to enable them to sustainably carry on the training of students in the program.

タイトル Regional graduate course for capacity development in biodiversity informatics in Africa
識別子 http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/ ; http://jrsbiodiversity.org/grants/uac-2018/
ファンデイング The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study Area Description Actually in Benin, we estimate that there are 400 – 600 working biodiversity information scientists in public and private agencies. With few exceptions, the situation is not much different in the rest of African countries. Those biodiversity information scientists usually base their decisions - of biodiversity conservation - on floristic and faunistic compositions of ecosystems and related communities as well as on ecology, ethology and habitat characteristics of different species. This approach becomes limiting to conserve efficiently and sustainably biodiversity in the actual threatening context of climate and global changes exacerbated by diverse pressures on biodiversity. To overcome that limitation, we rather need a critical mass of scientists with sound knowledge in biodiversity informatics to achieve relevant results on spatial distributions, ecological niches… of species and different biota to inform decisions on priority areas of biodiversity. In order to develop a trained cohort to meet national needs, we believe that Benin needs to train at least an additional 20 master students. Additionally, training each year at least 10 other masters and advanced students from different African countries, will result in progressive but efficient creation of homes of biodiversity informatics to enhance biodiversity conservation and sustainable uses throughout Africa.
研究の意図、目的、背景など(デザイン) The work plan of the project is presented per objective: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program We will recruit students every year (Activity 1) at least 20 Beninese students and 10 students of other nationalities (Months 4, 16, 28 and beyond) (Output 1).Students will be fully trained in relevant topics of biodiversity informatics by national and international experts (Months 1-36 and beyond) (Activity 2) so that, after two years of training, at least 80% of students successfully graduate (Months 18, 30 and beyond) (Output 2). The courses will be recorded and shared (Months 1-36) (Activity 3) to enable worldwide use and reuse (Outcome 3). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals) Here, we will enhance, through one Professional Skills Workshop per year, capacity buildings to other GBIF Benin partners (Months 6, 18, 30and beyond) (Activity 4) by training yearly, at least 50 of them in relevant topics of biodiversity informatics (Output 4). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 3: Whenever deemed relevant, identify and fill data gaps in priority thematic areas of Benin and other countries involved in the project Whenever relevant, trained students will achieve data gaps analysis (Months 12 – 36 and beyond) (Activity 5) in at least 3 priority thematic areas of their respective countries (Months 12 – 36 and beyond) (Output 5); they will then collect and publish data (Months 12 – 36 and beyond) (Activity 6) to fill the gaps identified (Months 12 – 36 and beyond) (Output 5). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation To attain that objective, trained students will use data (Months 12 – 36 and beyond) (Activity 7) to address needs of information (species, biota spatial distributions and niche models…) to support biodiversity conservation (Months 12 – 36 and beyond) (Output 7). We will then, through Communication and Outreach Workshops (1 per year), achieve communication and outreach (Months 12 – 36 and beyond) (Activity 8) to largely disseminate the products developed, in government agencies, NGOs, universities, private sectors… (Months 12 – 36 and beyond) (Output 8). Therefore, detailed and data products developed will be promoted in decision making (Outcome 5). Objective 5: Enhance staff development Here, we will provide internship opportunities to national trainers and most brilliant students to strengthen their capacities so that they can reliably carry on the training of students (Months 1 – 36 and beyond) (Activity 9) to sustain in the program (Outcome 7)

プロジェクトに携わる要員:

Jean Cossi GANGLO
  • 研究代表者

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