Описание
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.
Записи данных
Данные этого occurrence ресурса были опубликованы в виде Darwin Core Archive (DwC-A), который является стандартным форматом для обмена данными о биоразнообразии в виде набора из одной или нескольких таблиц. Основная таблица данных содержит 2 записей.
Данный экземпляр IPT архивирует данные и таким образом служит хранилищем данных. Данные и метаданные ресурсов доступны для скачивания в разделе Загрузки. В таблице версий перечислены другие версии ресурса, которые были доступны публично, что позволяет отслеживать изменения, внесенные в ресурс с течением времени.
Версии
В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.
Как оформить ссылку
Исследователи должны дать ссылку на эту работу следующим образом:
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
Права
Исследователи должны соблюдать следующие права:
Эта работа находится под лицензией Creative Commons Attribution (CC-BY 4.0).
Регистрация в GBIF
Этот ресурс был зарегистрирован в GBIF, ему был присвоен следующий UUID: 9fd3bc7d-5c2c-4026-929b-2ee191fd6c0b. Institute of Plant and Animal Ecology (IPAE) отвечает за публикацию этого ресурса, и зарегистрирован в GBIF как издатель данных при оподдержке Participant Node Managers Committee.
Ключевые слова
Occurrence; Spiders; Araneae; Ural; Biodiversity data; Literature data; Literature data digitization
Контакты
- 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
Географический охват
This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project.
| Ограничивающие координаты | Юг Запад [50,961, 55,983], Север Восток [51,367, 61,212] |
|---|
Таксономический охват
Spiders
| Kingdom | Animalia |
|---|---|
| Phylum | Arthropoda |
| Class | Arachnida |
| Order | Araneae |
Временной охват
| Дата начала / Дата окончания | 2015-09-22 / 2016-01-01 |
|---|
Данные проекта
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.
| Название | Faunistics International: The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake |
|---|---|
| Финансирование | 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». |
| Описание района исследования | The study is currently focused on the Ural region and includes all the literature devoted it completely or partitialy. |
| Описание плана выполнения исследований | Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. |
Исполнители проекта:
Методы сбора
There were no samplings. The dataset is based on the literature data. Check its full text, please.
| Охват исследования | The study is currently focused on the spiders of the Ural region and covers all the literature data concerning these. |
|---|---|
| Контроль качества | 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. |
Описание этапа методики:
- 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%.
Библиографические ссылки
- 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
Дополнительные метаданные
| Благодарности | 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. |
|---|---|
| Введение | 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. |
| Приступая к работе | 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. |
| Цель | 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. |
| Описание частоты обновления ресурса | 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. |
| Альтернативные идентификаторы | https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 |