15N and elemental data of individual Tillandsia specimen
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Citation
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Identification
Title: | Main Title: 15N and elemental data of individual Tillandsia specimen |
Description: | Abstract: the file contains 15N, TOC and TN data of individual Tillandsia specimen (living and dead) sampled between Arica and Rio Loa Canyon |
Citation Advice: | A. Jaeschke, C. Böhm, F.F. Merklinger, M. Reyers, S.M. Bernasconi, S. Kusch, J. Rethemeyer (2019). Variation in δ15N of fog-dependent Tillandsia ecosystems reflect water availability across climate gradients in the hyperarid Atacama Desert. Glob. Planet. Change 183, 103029, doi.org/10.1016/j.gloplacha.2019.103029. |
Responsible Party
Creator: | Andrea Jaeschke (Author) |
Publisher: | CRC1211 Database (CRC1211DB) |
Publication Year: | 2020 |
Topic
CRC1211 Topic: | Biology |
Related Subproject: | D4 |
Subject: | Keyword: Stable Isotope Geochemistry |
Geogr. Information Topic: | Biota |
File Details
Filename: | Tillandsia15N.xlsx |
Data Type: | Dataset - Dataset |
File Size: | 39 KB |
Date: | Created: 16.09.2020 |
Mime Type: | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Data Format: | MS Excel |
Language: | English |
Status: | Completed |
Constraints
Download Permission: | Free |
General Access and Use Conditions: | According to the CRC1211DB data policy agreement. |
Access Limitations: | According to the CRC1211DB data policy agreement. |
Licence: | [CRC1211DB] Data policy agreement |
Geographic
Specific Information - Data
Temporal Extent: | 20.03.2017, 13:53:00 - 30.04.2018, 13:53:00 |
Subtype: | Natural Science Data |
Metadata Details
Metadata Creator: | Andrea Jaeschke |
Metadata Created: | 16.09.2020 |
Metadata Last Updated: | 16.09.2020 |
Subproject: | D4 |
Funding Phase: | 1 |
Metadata Language: | English |
Metadata Version: | V50 |
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Metadata Schema: |
Dataset Statistics
Page Visits: | 248 |
Metadata Downloads: | 0 |
Dataset Downloads: | 1 |
Dataset Activity
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Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.