National Museum of Namibia Scorpiones Collection Data 2022

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 3 567 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Prendini L, Bird T, Irish J, Becker F, Karuaera N (2023). National Museum of Namibia Scorpiones Collection Data 2022. Version 1.9. National Museum of Namibia. Occurrence dataset. https://cloud.gbif.org/africa/resource?r=nationalmuseumnamibiascorpiones2022&v=1.9

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est National Museum of Namibia. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 7a5d39ef-1abc-442f-be56-5ccf3b27aedd.  National Museum of Namibia publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Namibia.

Mots-clé

Occurrence; scoprpion; specimen; museum; Namibia; arachnid; arthropod; Occurrence; scoprpion; specimen; museum; Namibia; arachnid; arthropod

Contacts

Couverture géographique

Namibia, Botswana, Angola, South Africa

Couverture taxonomique

Scorpions from four families (Bothriuridae; Buthidae; Hormuridae; Scorpionidae)

Couverture temporelle

Données sur le projet

Despite its aridity, Namibia contains a surprisingly high number of species and level of endemism (about 20 per cent). For the majority of species, little or no digital occurrence data is available. This project is geared towards improving available biodiversity information from two national institutions—the National Museum of Namibia (NMN) and the National Botanical Research Institute (NBRI)—together driving the establishment of a GBIF node in Namibia. The project further aims to improve the use and relevance of biodiversity data from GBIF throughout the country, particularly for biodiversity conservation and management, policy implementation, research, and other pertinent national development goals. The project will create and strengthen collaboration among research institutes, development practitioners, and policy-makers within Namibia, particularly around the gathering and use of biodiversity data. The overall impacts will include increased availability and use of biodiversity data, which can be measured directly in the number of records published through GBIF and the number of use-cases recorded. This, in turn, will improve implementation of conservation and sustainable development goals, measurable in the number of decision-making use cases of the published data. Another major impact will be the increased awareness of GBIF open data within Namibia, improving the drive towards both general and targeted data-contributions from local institutions, and increased data-use. This will be measurable in the number of institutions taking part in stakeholder engagement workshops, and those having adopted data policies or committed to publishing data to GBIF. The long-term impacts of the available data on these broader goals may not be easily measurable within the project period, but can be projected based on the number of stakeholders reached through the project engagement.

Les personnes impliquées dans le projet:

Méthodes d'échantillonnage

Data was digitized from specimen labels and field notes, into various fields relevant for the Museum and associated researchers. Species identifications were confirmed or assigned for the first time by various specialists, for a large portion of the specimens. Lorenzo Prendini compiled the first dataset and confirmed or added identifications to most of the records. John Irish georeferenced most records and re-checked data. The data was then migrated into a Specify Database. The dataset was then exported, and Francois Becker formatted the data for DarwinCore, cleaned and standardized all data fields. Locality data was either entered from quarter degree grid references from the labels, and/or georeferenced from a database of locality names for Namibia; some were interpreted based on locality descriptions from labels; some were confirmed from querying the original collectors. Selected fields were then mapped to DarwinCore standard terms - in some cases one field was split into multiple fields. Each field was cleaned, reformatted and standardized in Excel using various filtering functions and pivot tables. Taxonomic names were checked on a case-by-case basis using various online sources and expert input. A sensitive species list was compiled with expert consultation, and the necessary adjustments were made to the precision of coordinate data reported.

Description des étapes de la méthode:

1. 1. Collation of specimens from various sub-collections into single collection, and assignment of one standardized set of catalogue numbers 2. Data-entry from labels, confirmation or assignment of identifications per specimen 3. Geo-referencing, first round of data standardization/confirmation by checking problem records, confirming data from labels etc. 4. Formatting and cleaning of entered data for first museum Specify database 5. Data export from Specify and integration with original data import spreadsheet; data mapping to DarwinCore fields, standardization of terms, and second round of cleaning and error-checking.

Données de collection

Métadonnées additionnelles