説明
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.
データ レコード
この オカレンス（観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、2 レコードが含まれています。
この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。
バージョン
次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。
引用方法
研究者はこの研究内容を以下のように引用する必要があります。:
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
権利
研究者は権利に関する下記ステートメントを尊重する必要があります。:
This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF登録
このリソースをはGBIF と登録されており GBIF UUID: 9fd3bc7d-5c2c-4026-929b-2ee191fd6c0bが割り当てられています。 Participant Node Managers Committee によって承認されたデータ パブリッシャーとして GBIF に登録されているInstitute of Plant and Animal Ecology (IPAE) が、このリソースをパブリッシュしました。
キーワード
Occurrence; Spiders; Araneae; Ural; Biodiversity data; Literature data; Literature data digitization
連絡先
- 最初のデータ採集者
- 論文著者 ●
- 最初のデータ採集者 ●
- 連絡先
- 論文著者 ●
- 最初のデータ採集者 ●
- 連絡先
- データ配布者
- データ提供者
- データ提供者
- 編集者
- Senior Researcher
- Vitkevicha, 1
https://orcid.org/0000-0003-4199-5924
- 編集者
- PhD student
- Bukireva, 15
- 編集者
- PhD student
- 8 Marta, 202
- 編集者
- PhD student
- Bukireva, 15
- 最初のデータ採集者
- Senior Researcher
- 8 Marta, 202
- +79199065784
地理的範囲
This is part of the Ural Mountain Region, which is currently the focus of the `Faunistics International` project.
| 座標（緯度経度） | 南 西 [50.961, 55.983], 北 東 [51.367, 61.212] |
|---|
生物分類学的範囲
Spiders
| Kingdom | Animalia |
|---|---|
| Phylum | Arthropoda |
| Class | Arachnida |
| Order | Araneae |
時間的範囲
| 開始日 / 終了日 | 2015-09-22 / 2016-01-01 |
|---|
プロジェクトデータ
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.
| タイトル | Faunistics International: The mobilization techniques for primary data on biodiversity: from literature legacy to digital lake |
|---|---|
| ファンデイング | 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. |
| 研究の意図、目的、背景など（デザイン） | Literature gathering >> Data extraction >> Data & metadata filling, cleaning & uploading. |
プロジェクトに携わる要員:
収集方法
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%.
書誌情報の引用
- 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
追加のメタデータ
| 謝辞 | 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. |
|---|---|
| はじめに | 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. |
| 目的 | 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. |
| メンテナンス内容 | 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. |
| 代替識別子 | https://ipt.ipae.uran.ru/resource?r=faunistics_p3421 |