Historical breeding bird data from a national citizen science nest box monitoring initiative in the Netherlands, 1922–1950

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 40,721 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Burant J B, Oosterkamp W E, Thapa P, van Hofslot T, Visser M E, Vriend S J G (2025). Historical breeding bird data from a national citizen science nest box monitoring initiative in the Netherlands, 1922–1950. Version 1.1. The Netherlands Institute of Ecology (NIOO-KNAW). Occurrence dataset. https://ipt.nlbif.nl/resource?r=nestkast_1&v=1.1

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 The Netherlands Institute of Ecology (NIOO-KNAW)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源尚未向GBIF註冊

關鍵字

birds presence; breeding birds; ecology; phenology; nest site; history; nest succes; long term ecological monitoring; Occurrence

聯絡資訊

地理涵蓋範圍

The Netherlands in the early twentieth century

分類群涵蓋範圍

The data include 105 bird species, with 90.5 percent of all records belonging to nine species.

時間涵蓋範圍

計畫資料

無相關描述

參與計畫的人員:

取樣方法

Volunteers checked nests in nestboxes and a small number of wild nests. They recorded lay date, clutch size and brood size. These data were gathered into a physical dataset by the Plantenziektekundige Dienst.

方法步驟描述:

1. Source files were scanned and digitized using the pre-trained Transkribus model 'The Text Titan I' for text recognition, the 'Universal Lines' model for layout recognition, and a machine learning model trained on 80 manually transcribed pages for table recognition. The raw text output was cleaned with manual review and automation using Python with pandas and regex libraries.
2. Datafication included standardizing area and observer names. Location names were manually geographically coded using historical Esri maps of the Netherlands. Species taxonomy was mapped to the vernacular names using the taxize package in R. Lay dates were recorded as integers, through inference we assumed that all lay dates were recorded as April dates (with April 1 = 1 and March 31 = 0) unless specified otherwise. These dates were reformatted to ISO 8601 and used as eventDate.
3. Quality control included reviewing suspicious values (e.g. outliers, improbable and impossible values) against the source material. The data was further validated against the original reports from the Plantenziektekundige Dienst.

額外的詮釋資料