Description
The dataset contains spider occurrences extracted from the following article/book:
[Esyunin S.L., Efimik V.E. 2022. Sacarum nemkovi gen. et sp.n. (Aranei: Nesticidae), from the steppe Cisurals, Russia // Arthropoda Selecta. Vol.31. No.2. P.246–250]
Attention! As far as these were published in print, we strongly recommend to cite the original work along with this GBIF dataset!
Data were digitized within the Faunistics International project for the occurrence data extraction from the scientific literature: faunistic, taxonomical, ecological and other kinds. Full text is available here. Data are available here as well.
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 2 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:
Faunistics International, Esyunin S.L., Efimik V.E. (2025). Spider occurrences extracted from the 'Sacarum nemkovi gen. et sp.n. (Aranei: Nesticidae), from the steppe Cisurals, Russia'. Institute of Plant and Animal Ecology (IPAE). Occurrence dataset. https://ipt.ipae.uran.ru/resource?r=faunistics_p3421
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
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 : 9fd3bc7d-5c2c-4026-929b-2ee191fd6c0b. Institute of Plant and Animal Ecology (IPAE) publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.
Mots-clé
Occurrence; Spiders; Araneae; Ural; Biodiversity data; Literature data; Literature data digitization
Contacts
- Créateur
- Auteur ●
- Créateur ●
- Personne De Contact
- Auteur ●
- Créateur ●
- Personne De Contact
- Distributeur
- Fournisseur De Contenu
- Fournisseur De Contenu
- Editeur
- Senior Researcher
- Vitkevicha, 1
https://orcid.org/0000-0003-4199-5924
- Editeur
- PhD student
- Bukireva, 15
- Editeur
- PhD student
- 8 Marta, 202
- Editeur
- PhD student
- Bukireva, 15
- Créateur
- Senior Researcher
- 8 Marta, 202
- +79199065784
Couverture géographique
This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project.
| Enveloppe géographique | Sud Ouest [50,961, 55,983], Nord Est [51,367, 61,212] |
|---|
Couverture taxonomique
Spiders
| Kingdom | Animalia |
|---|---|
| Phylum | Arthropoda |
| Class | Arachnida |
| Order | Araneae |
Couverture temporelle
| Date de début / Date de fin | 2015-09-22 / 2016-01-01 |
|---|
Données sur le projet
The primary species occurrence data are the basis for studies and management decisions in nature conservation, agriculture, and forestry. The integration of the primary biodiversity data into data reuse cycles is highly promising. `Faunistics International` aims to level up the classical background of ecology and biogeography. Background version 2.0 leads the literature data according to FAIR principles, so everyone can easily find and reuse it many times.
| Titre | Faunistics International: The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake |
|---|---|
| Financement | The published data were digitized within the project supported by RSF (No. 24-24-00460 «The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake». |
| Description du domaine d'étude / de recherche | The study is currently focused on the Ural region and includes all the literature devoted it completely or partitialy. |
| Description du design | Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. |
Les personnes impliquées dans le projet:
Méthodes d'échantillonnage
There were no samplings. The dataset is based on the literature data. Check its full text, please.
| Etendue de l'étude | The study is currently focused on the spiders of the Ural region and covers all the literature data concerning these. |
|---|---|
| Contrôle qualité | All the records come from the literature data. Some articles don’t have properly described occurrences but were transformed into datasets in order to be found by search matching a species name. See more below about the literature gathering, data extraction, cleaning & uploading, and metadata assembling (section `Method step description`). In case of mistakes/mistypes finding, please, write to the dobriy_pauk@list.ru or other contacts provided. |
Description des étapes de la méthode:
- Step 1: Literature gathering. An exhaustive arachnological bibliography was assembled by K.G. Mikhailov. The literature database, search, and file-sharing engine was developed by A.N. Sozontov over the bibliography, resulting in the `Arachnolibrary` resource. It has 5,345 references and over 2,800 full texts uploaded in total, as of 2025-08-01.
- Step 2: Data extraction by volunteers. Data extraction is carried out by the core team along with volunteers involved in the `Faunistics International` Citizen Science project, see more at the website and describing articles. All volunteers’ records were cross-verified with further merging to consensus by experts.
- Step 3: Data & metadata filling, cleaning & uploading. Each article digitized becomes a separated GBIF dataset. The database produces Darwin Core occurrence tables, which are being checked and cleaned up by the project team. Server-side utility gets local variables, constant for each article, global variables, constant for the whole digitization project, metadata meta.xml & eml.xml templates, generates metadata and occurrence files, and combines them into Darwin Core archive. Dataset name and citation follow the pattern: Faunistics International, %Authors%. (%year%). Spider occurrences extracted from %title%.
Citations bibliographiques
- Esyunin S.L., Efimik V.E. 2022. Sacarum nemkovi gen. et sp.n. (Aranei: Nesticidae), from the steppe Cisurals, Russia // Arthropoda Selecta. Vol.31. No.2. P.246–250
Métadonnées additionnelles
| Remerciements | The published data were digitized within the project supported by RSF (No. 24-24-00460 «The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake». Data extraction were carried out with participation of these volunteers: Dryomys, Плакхина Евгения. |
|---|---|
| Introduction | The primary species occurrence data are the basis for studies and management decisions in nature conservation, agriculture, and forestry. The integration of the primary biodiversity data into data reuse cycles is highly promising. |
| Premiers pas | Literature occurrence data are of the highest possible quality, provided by the most respectable journals and scientists. Because of this, it is not just literature, but a literature legacy. These important data with a simple structure take much time to extract and use (compared with databases). Therefore, the Faunistics International project is devoted to returning this legacy to cycles of fast multiple reuses. Spiders are an unique taxon for several reasons, including:
So spiders are a good start for literature legacy digitization. Beginning from this group, it is possible to optimise the whole pipeline, and it can be applied to other taxa and/or other regions further. Web app helps to extract and formalize data from the literature text to DarwinCore tables. Its user-friendly interface and detailed handbook make even nonexpert participation possible. Amateur volunteers are engaged in the data extraction process, wrapped into the Citizen Science project named Faunistics International. |
| Objet | Faunistics International aims to level up the classical background of ecology and biogeography. Background version 2.0 leads the literature data according to FAIR principles, so everyone can easily find and reuse it many times. |
| Description de la fréquence de mise à jour | The data comes from the scientific article/book and are constant, so the dataset will be updated only in case of mistypes finding and fixing. |
| Identifiants alternatifs | https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 |