Data · collection · 2022
Simulating population divergence of Northern chamois in the Alps based on habitat dynamics
Listed in NASA Earthdata CMR
# General description Genomic data, habitat suitability raster files and scripts to run gen3sis to simulate cumulative divergence over time as approximation for genetic differentiation.
Description
Scripts for basic analysis of the simulations (e.g., create distance matrix from sampling locations) are provided, too. See original publication (doi link will be provided after publication) for details.
The study area are the European Alps. All data is uploaded as zipped file. Unzip them after the download and put all data in one folder.
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See linked publications for correct citation of the data used, use of the data without correct citation is not allowed. __Corresponding author__: Flurin Leugger, email: flurin.leugger@gmail.com # Description of the data (content of the different zip folders) ## Abiotic data ### Glaciers Folders with raster stacks with glaciated areas at 0.05° resolution in WGS84 projection from Seguinot et al. (2018). Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., & Preusser, F. (2018).
Modelling last glacial cycle ice dynamics in the Alps. _The Cryosphere, 12(10)_, 3265–3285. doi.org/10.5194/tc-12-3265-2018 ### Rivers
- __river_raster_elevation_class.tif__: raster file (.tif) at 0.05° resolution and WGS84 projection with large rivers (scenario 2 from publication). The rivers (each cell) is classified according to the elevation of the cell. Natural Earth. (2018). Rivers + lake centerlines version 4.1.0. Retrieved January 22, 2020, from naturalearthdata.com/downloads/50m-physical-vectors/50m-rivers-lake-centerlines
- __river_raster_strahler_class_5km.tif__: raster file at 0.05° resolution and WGS84 projection with medium rivers. The rivers are classified according to their Strahler order. Food and Agriculture Organization of the United Nations. (2014). Rivers in Europe (Derived from HydroSHEDS). Retrieved January 29, 2020, from fao.org/geonetwork/srv/fr/google.kml?uuid=e0243940-e5d9-487c-8102-45180cf1a99f&layers=AQUAMAPS:37253_rivers_europe ## Fossil records
- __chamois_fossil_combined_public.xlsx__: list with fossil records until 20,000 years BP from Central Europe, see linked references for citation. ## Chamois occurrences
- __chamois_occurrence.csv__: Chamois presences from all sources used for the publication (see Suppl. mat. Table S1 for detailed information and correct citations of the data) aggregated at 0.05° resolution (~5km). ## Gen3sis
- __config__: folders with all configuration files used to run the simulations for the publication (different dispersal divergence parameters).
- __scripts__: scripts (and helper functions) to run the gen3sis simulations including scripts for the beginning of the subsequent analysis. ## Genetic
- __populations.snps.light.vcf__: vcf file of the sampled Northern chamois _(Rupicapra rupicapra)_ . The genomic data encompasses 20k SNPs (from ddRAD sequencing).
- __Sequencing_final_without_slovakia.txt__: sampling locations of Northern chamois _(Rupicapra rupicapra)_ ## HSM
- __habitat_suitability_hindcasting__: Aggregated habitat suitability raster files (stacks, .grd files) at 0.05° resolution and WGS84 projection from 20,000 years BP until today in 100 year time steps. There are separate folders for each environmental variable scenario used (different terrain slope variables) an the different occurrence/pseudo-absence sampling strategy used.
- __ODMAP_LeuggerEtAl__2021-10-25.csv__: ODMAP protocol
Links
Where it is published
- DOI doi.org/10.16904/envidat.291 ↗
DOI / persistent id · from NASA CMR
Documentation and papers
- VIEW RELATED INFORMATION envidat.ch/dataset/simulating-chamois-populations ↗
documentation · from NASA CMR
- GET RELATED VISUALIZATION envidat.ch/envidat_thumbnail.png ↗
preview image · from NASA CMR
Catalogue records · 2
- CMR UMM-JSON cmr.earthdata.nasa.gov/search/concepts/C2789817711-ENVIDAT.umm_json ↗
metadata API · from NASA CMR
- CMR record cmr.earthdata.nasa.gov/search/concepts/C2789817711-ENVIDAT.html ↗
catalogue entry · from NASA CMR
Topics
- Stated by source
- Land Surface Agriculture Indicators · Not provided
- Inferred from text
- Genome sequencing 65% · Sequencing 75% · Tabular 65%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Earthdata CMR | C2789817711-ENVIDAT | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[measured_variable].gcmd:earth-science/climate-indicators/land-surface-agriculture-indicators | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| concepts[modality].local:modality:genome-sequencing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:tabular | enrichment · NASA CMR | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[platform].gcmd_platform:not-provided | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| created_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| description | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/Abstract |
| license_text | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| publication_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| spatial | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/SpatialExtent |
| title | source · NASA CMR | connector:nasa_cmr@1.0.0 | /umm/EntryTitle |
| updated_date | source · NASA CMR | connector:nasa_cmr@1.0.0 | |
| version_label | source · NASA CMR | connector:nasa_cmr@1.0.0 |