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.
Data Records
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 2 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
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
Rights
Researchers should respect the following rights statement:
This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 9fd3bc7d-5c2c-4026-929b-2ee191fd6c0b. Institute of Plant and Animal Ecology (IPAE) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.
Keywords
Occurrence; Spiders; Araneae; Ural; Biodiversity data; Literature data; Literature data digitization
Contacts
- Originator
- Author ●
- Originator ●
- Point Of Contact
- Author ●
- Originator ●
- Point Of Contact
- Distributor
- Content Provider
- Content Provider
- Editor
- Senior Researcher
- Vitkevicha, 1
https://orcid.org/0000-0003-4199-5924
- Editor
- PhD student
- Bukireva, 15
- Editor
- PhD student
- 8 Marta, 202
- Editor
- PhD student
- Bukireva, 15
- Originator
- Senior Researcher
- 8 Marta, 202
- +79199065784
Geographic Coverage
This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project.
| Bounding Coordinates | South West [50.961, 55.983], North East [51.367, 61.212] |
|---|
Taxonomic Coverage
Spiders
| Kingdom | Animalia |
|---|---|
| Phylum | Arthropoda |
| Class | Arachnida |
| Order | Araneae |
Temporal Coverage
| Start Date / End Date | 2015-09-22 / 2016-01-01 |
|---|
Project Data
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.
| Title | Faunistics International: The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake |
|---|---|
| Funding | 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». |
| Study Area Description | The study is currently focused on the Ural region and includes all the literature devoted it completely or partitialy. |
| Design Description | Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. |
The personnel involved in the project:
Sampling Methods
There were no samplings. The dataset is based on the literature data. Check its full text, please.
| Study Extent | The study is currently focused on the spiders of the Ural region and covers all the literature data concerning these. |
|---|---|
| Quality Control | 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. |
Method step description:
- 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%.
Bibliographic Citations
- 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
Additional Metadata
| Acknowledgements | 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. |
| Getting Started | 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. |
| Purpose | 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. |
| Maintenance Description | 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. |
| Alternative Identifiers | https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 |