Title:
HMOcc: Anura datasets using DGHT Data and updated Saxony data from 1980 - 2014 (including regional codes for the MTB_Qs)
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Free within projects
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Abstract:
The dataset relates to the Project "Hierarchical Models Occurrence Trends".
This datasets contains the actualized data for the analyses of frog occurrences in Germany. The dataset is different from the original dataset that was presented by U. Schulte during the second workshop in that I have updated the Data we have from Saxony with the data we got directly from the federal state department (Holger Lueg). It contains date specific information (in contrast to originally only year precision) on the occurrences of anura in the state of Saxony. It also extends the time period that we study from 2013 to 2014 as the screening of the full dataset (dght original + Saxony) now suggests that 2014 has a sufficient amount of data. Teh dataset contains 9 (nested) datasets:
-"anura_dght_1980_2014" is the full dataset (including year interval, year and date precision for all federal states from 1980 - 2014
- "anura_year_precision_1980_2014": similar dataset but all entries with time intervall information excluded
- "anura_date_precision_1980_2014": similar dataset but only with occurrence records that have a precision of at least year.
- "anura_date_precision_analysis_1980_2014": similar dataset like above, but only with the three federal states of NRW, SN, ST, on which we have date precision data and agreed that we will analyze these with this precision (see discussion during the workshop).
Also other datasets that are important to do the occurrence analyses are "regional_codes_dght_980_2014", "regional_codes_year_prec", "regional_codes_date_prec_amph", "regional_codes_date_prec_amph_analysis". These are simple 0/1 matrices indicating which site (i.e. MTB_Q) is in which federal state (nested structure accrding to the above described structure). Here, some fiddling might be needed as some MTB_Qs (in the border regions) are counted for the two adjacent states. This is not allowed when analyzing the data in 'sparta'.
If there are any detailed questions, feel free to contact D. Eichenberg.
Last but not least I attached the R-Script that was used to update the DGHT Data with the additional Saxony data. It is mainly thought as a documentation. Better do not run this script, as certain steps might take quite long!
Design:
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Spatial extent:
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Temporal extent:
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Taxonomic extent:
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Measurement cirumstances:
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Data analysis:
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Attachment:
File name:
anura_year_precision_1980_2014.rData
Description:
This is the frog data from DGHT including the actualized Saxony data with year precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
3.65 MB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
anura_dght_1980_2014.rData
Description:
This is the full dataset for frogs (anura) of the DGHT, updated with the date precision data from Saxony. It includes all levels of date specificity: year intervals, year precision, date precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
4.07 MB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
anura_date_precision_1980_2014.rData
Description:
This is the data for frogs (DGHT including new Saxony data) with date precision from all federal states where we have the information.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
2.35 MB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
anura_date_precision_analysis_1980_2014.rData
Description:
This is the frog dataset with date precision (DGHT and new Saxony updates) we agreed on analyzing for occurrences with date precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
1.4 MB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
regional_codes_dght_1980_2014.rData
Description:
The assignment of MTB_Qs to federal states as a 0/1 matrix. This might come in handy when accounting for variation within federal states (e.g. in the occupancy detection models in sparta). This dataset reffers to the full dataset of the dght with all kinds of date precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
59.6 KB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
regional_codes_year_prec_apmh.rData
Description:
The assignment of MTB_Qs to federal states as a 0/1 matrix. This might come in handy when accounting for variation within federal states (e.g. in the occupancy detection models in sparta). This dataset reffers to the full dataset of the dght with year precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
56.2 KB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
regional_codes_date_prec_apmh.rData
Description:
The assignment of MTB_Qs to federal states as a 0/1 matrix. This might come in handy when accounting for variation within federal states (e.g. in the occupancy detection models in sparta). This dataset reffers to the full dataset of the dght with date precision.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
45.4 KB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
regional_codes_date_prec_apmh_analysis.rData
Description:
The assignment of MTB_Qs to federal states as a 0/1 matrix. This might come in handy when accounting for variation within federal states (e.g. in the occupancy detection models in sparta). This dataset reffers to the full dataset of the dght with year precision we agrteed on analyzing during the January WS in Leipzig.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
35.2 KB
Created at:
2018-01-29
Updated at:
2018-01-29
Attachment:
File name:
Raw_data_preparation_for_amphibian_data.R
Description:
This R Script documents the steps taken to update the DGHT Data to the present format (i.e. including date precision information from Saxony). NOTE: this is thought as a documentation! Better do not run the script because it might take very long to execute certain steps. The results of this script you find as readymade data in this dataset.
Uri:
No information available
Is essential:
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Content type:
application/octet-stream
File size:
17.4 KB
Created at:
2018-01-29
Updated at:
2018-01-29
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Filter:
sMon: sMon - Analyzing trends in German biodiversity data
Description:
General:
sMon is a two-year Synthesis Project of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. We aim at combining and harmonizing exemplary datasets of different taxa and habitats and to evaluate the potenti...
Id:
1
Users:
7
Datasets:
49
Proposals:
2
Attachments:
0
Created at:
2018-01-15
Updated at:
2018-01-15
HMOcc: Hierachical Models Occurrence trends
Description:
This project has formed during the second sMon Owrkshop in January 2018 in Leipzig. We will analyze the trends of two/three different taxa (i.e. Amphibians and Odonata; Orthoptera, given the data is sufficient) across germany. In order to allow fo...
Id:
24
Users:
7
Datasets:
3
Proposals:
0
Attachments:
0
Created at:
2018-01-29
Updated at:
2018-01-29
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