CRBPO : STOC, Baguage

Name: CRBPO : STOC, Baguage
Creator: UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris
Published: 2018-07-04T10:53:06+08:00

GBIF2025-11-18 更新2026-05-26 收录

动物种群监测

长期生态监测

数据链接：

https://www.gbif.org/dataset/ab47c4a9-4b6a-4d59-b846-899d9420f7d3 数据链接链接失效反馈

官方服务：

资源简介：

Suivi temporel des oiseaux communs / Vigie Nature. http://vigienature.mnhn.fr/page/suivi-temporel-des-oiseaux-communs-stoc

提供机构：

UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris

创建时间：

2018-07-04

Historic (1900s, 1950s, 1970s) and contemporary (2000s) nitrogen isotopic signatures of penguin feathers.

稳定同位素生态学

长期生态监测

First line: values are mean ± SD; second line: median, minimum and maximum values. Values in the same line not sharing a common superscript letter are significantly different (p<0.05; see text).

NIAID Data Ecosystem50

Sevilleta site, station Rio Salado Larrea Study Site, study of animal abundance of Peromyscus truei in units of numberPerTrappingWeb on a yearly timescale

啮齿动物种群

长期生态监测

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to

Environmental Data Initiative Repository00

SGS-LTER GIS layer with detailed information on Streams on Central Plains Experimental Range, Nunn, Colorado, USA 2012

草原溪流GIS制图

长期生态监测

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and backg

Environmental Data Initiative Repository00

LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER collected on 1993-10-07

地表反射率

长期生态监测

This LTER Remote Sensing spatial raster dataset consists of LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Florida Coastal Everglades LTER, originally collected on 1993-10-07 (15:12:

Environmental Data Initiative Repository30

LTER Zöbelboden, Austria, Litterfall chemistry, 2018

森林与农林生态系统养分循环

长期生态监测

Litterfall chemistry data of the LTER station Zöbelboden from the year 2018

B2FIND00