Descripción
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.
Registros
Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 2 registros.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
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
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 9fd3bc7d-5c2c-4026-929b-2ee191fd6c0b. Institute of Plant and Animal Ecology (IPAE) publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.
Palabras clave
Occurrence; Spiders; Araneae; Ural; Biodiversity data; Literature data; Literature data digitization
Contactos
- Originador
- Autor ●
- Originador ●
- Punto De Contacto
- Autor ●
- Originador ●
- Punto De Contacto
- Distribuidor
- Proveedor De Contenido
- Proveedor De Contenido
- 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
- Originador
- Senior Researcher
- 8 Marta, 202
- +79199065784
Cobertura geográfica
This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project.
| Coordenadas límite | Latitud Mínima Longitud Mínima [50,961, 55,983], Latitud Máxima Longitud Máxima [51,367, 61,212] |
|---|
Cobertura taxonómica
Spiders
| Reino | Animalia |
|---|---|
| Filo | Arthropoda |
| Class | Arachnida |
| Orden | Araneae |
Cobertura temporal
| Fecha Inicial / Fecha Final | 2015-09-22 / 2016-01-01 |
|---|
Datos del proyecto
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.
| Título | Faunistics International: The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake |
|---|---|
| Fuentes de Financiación | 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». |
| Descripción del área de estudio | The study is currently focused on the Ural region and includes all the literature devoted it completely or partitialy. |
| Descripción del diseño | Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. |
Personas asociadas al proyecto:
Métodos de muestreo
There were no samplings. The dataset is based on the literature data. Check its full text, please.
| Área de Estudio | The study is currently focused on the spiders of the Ural region and covers all the literature data concerning these. |
|---|---|
| Control de Calidad | 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. |
Descripción de la metodología paso a paso:
- 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%.
Referencias bibliográficas
- 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
Metadatos adicionales
| Agradecimientos | 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. |
|---|---|
| Introducción | 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. |
| Primeros pasos | 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. |
| Propósito | 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. |
| Descripción de mantenimiento | 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. |
| Identificadores alternativos | https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 |