https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 faunistics_p3421 Digitization Initiative Faunistics International Institute of Plant and Animal Ecology (IPAE)

Ekaterinburg Sverdlovsk Area 620144 RU

dobriy_pauk@list.ru https://faunistics.international S.L. Esyunin V.E. Efimik S.L. Esyunin author V.E. Efimik author (IPAE) Institute of Plant and Animal Ecology Institute of Plant and Animal Ecology (IPAE)

Ekaterinburg Sverdlovsk Area 620144 RU

https://ipae.uran.ru/ distributor Dryomys (digitization volunteer) 'Faunistics International' citizen science project for the literature data digitization contentProvider Плакхина Евгения (digitization volunteer) 'Faunistics International' citizen science project for the literature data digitization contentProvider Natalya Ivanova Institute of Mathematical Problems of Biology RAS Senior Researcher

Vitkevicha, 1 Pushchino Moscow Area 142290 RU

0000-0003-4199-5924 editor Evgeniya Plakhina Perm State University (PSU) PhD student

Bukireva, 15 Perm Perm Area 614990 RU

0000-0002-6448-1136 editor Sofia Sokolova Institute of Plant and Animal Ecology (IPAE) PhD student

8 Marta, 202 Ekaterinburg Sverdlovsk Area 620144 RU

0000-0003-4207-0392 editor Anastasia Ustinova Perm State University (PSU) PhD student

Bukireva, 15 Perm Perm Area 614990 RU

0009-0007-8053-3286 editor Artëm Sozontov Institute of Plant and Animal Ecology (IPAE) Senior Researcher

8 Marta, 202 Ekaterinburg Sverdlovsk Area 620144 RU

+79199065784 A.N.Sozontov@gmail.com https://sozontov.cc/about 1F7I05EAAAAJ 0000-0003-4297-6629 originator 2025-12-05 eng 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. Occurrence Spiders Araneae Ural Biodiversity data Literature data Literature data digitization GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License. Creative Commons Attribution 4.0 International https://spdx.org/licenses/CC-BY-4.0.html CC-BY-4.0 https://faunistics.international/home/ https://ipt.ipae.uran.ru/archive.do?r=faunistics_p3421 This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project. 55.983333 61.212222 51.366667 50.960556 2015-09-22 2016 Spiders phylum Arthropoda order Araneae kingdom Animalia class Arachnida 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. 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. 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:Total accounting of all the taxonomy across the order by the World Spider Catalog Total accounting of all the scientific literature with faunistic data (occurrences, in GBIF and Darwin Core terms), at least within a large region, with the bonus of full texts gathered and available online 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. 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. 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. asNeeded S.L. Esyunin V.E. Efimik 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%. The study is currently focused on the spiders of the Ural region and covers all the literature data concerning these. There were no samplings. The dataset is based on the literature data. Check its full text, please. 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. A.N. Sozontov 0000-0003-4297-6629 originator N.V. Ivanova 0000-0003-4199-5924 editor E.V. Plakhina 0000-0002-6448-1136 editor S.S. Sokolova 0000-0003-4207-0392 editor A.L. Ustinova 0009-0007-8053-3286 editor 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. 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». The study is currently focused on the Ural region and includes all the literature devoted it completely or partitialy. Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. 2025-12-05T14:00:00.000+05:00 dataset 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 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 https://faunistics.international/site/logo_square_eng.svg