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Title:
Odonata Data: Raster Quadrants with odonata occurece (FFH appendix 2,4,5) in the federal state Saxony Anhalt (Partly dataset)
Access rights:
Free within projects
Usage rights:
No information available
Published:
No information available
Abstract:
Occurence of odonata in the federal State of Saxony-Anhalt. Here, only species that are included in the FFH guideline appendices 2,4,5 are included. The data are aggregated from an original shapefile supplied from the LAU Saxony-Anhalt with data of mixed spatial resolution (i.e. exact, exact with uncertainity and on raster niveau) to a common resultion, which is raster quadrants (MTB_Q). The script that was used to process the data is attached to this file as a freeformat file. Moreover, the full list of occurrences is included as a freefromat file, too.
Design:
No information available
Spatial extent:
Federal state Sachsen-Anhalt
Temporal extent:
Not applicable
Taxonomic extent:
8 Species of 5 Genera out of 4 families from the Order of Odonata (taxonomic backbone NCBI)
Measurement cirumstances:
No information available
Data analysis:
Data was aggregated to MTBQ.

Filter:
Dataset column

Name:
ID_unique
Definition:
Unique identifyer for the respective sample
Unit:
No information available
Datagroup:
Unique Identfyer for MTB_Q sample
Keywords:
Identifyer
Values:
Sachsen-Anhalt-29354-Aeshna viridis-2009-06-18
Sachsen-Anhalt-29354-Aeshna viridis-2012-07-24
Sachsen-Anhalt-29354-Aeshna viridis-2010-07-07
Sachsen-Anhalt-29353-Aeshna viridis-2012-07-24
Sachsen-Anhalt-29354-Aeshna viridis-2009-08-07
Contributors:
No information available

Dataset column

Name:
ID
Definition:
Identfyer for samples from the same samples from same MTB_Qs and species in the same year; may be used to quickly aggregate over MTBQ_s specs and years
Unit:
No information available
Datagroup:
Identfyer for MTB_Q sample
Keywords:
Identifyer
Values:
Sachsen-Anhalt-29354-Aeshna viridis-2012
Sachsen-Anhalt-29353-Aeshna viridis-2012
Sachsen-Anhalt-29354-Gomphus flavipes-2009
Sachsen-Anhalt-29354-Aeshna viridis-2010
Sachsen-Anhalt-29354-Aeshna viridis-2009
Contributors:
No information available

Dataset column

Name:
MTB_Q
Definition:
Raster Quadrant (Messtischblatt-Quadrant, MTB_Q) number.
Unit:
No information available
Datagroup:
Raster Quadrants (Messtischblatt Quadranten)
Keywords:
Grid, Raster quadrants, Coordinates
Values:
30361
31321
29353
29354
29363
Contributors:
No information available

Dataset column

Name:
lon_exact
Definition:
Longitude of the original (exact) coorinate of the raster quadrant (MTB_Q)
Unit:
No information available
Datagroup:
Geographical position in Long/Lat (WGS84)
Keywords:
Grid, Raster quadrants, Latitude, Coordinates, Exact position
Values:
11.1061744193956
10.9901779597094
11.0749608780716
11.0941222100492
11.1028544521354
Contributors:
No information available

Dataset column

Name:
lat_exact
Definition:
Latitude of the original (exact) coorinate of the raster quadrant (MTB_Q)
Unit:
No information available
Datagroup:
Geographical position in Long/Lat (WGS84)
Keywords:
Grid, Raster quadrants, Latitude, Coordinates, Exact position
Values:
51.0803860000329
50.9956930110288
51.0993500081321
50.9931319341115
51.129210967388
Contributors:
No information available

Dataset column

Name:
lon_centr
Definition:
Longitude of the central coorinate of the raster quadrant (MTB_Q)
Unit:
No information available
Datagroup:
Geographical position in Long/Lat (WGS84)
Keywords:
Grid, Raster quadrants, Longitude, Coordinates, Centroid, Central coordinate
Values:
10.9583333333642
11.1250000000341
11.1250000000335
11.1250000000334
11.0416666666996
Contributors:
No information available

Dataset column

Name:
lat_centr
Definition:
Latitude of the central coorinate of the raster quadrant (MTB_Q)
Unit:
No information available
Datagroup:
Geographical position in Long/Lat (WGS84)
Keywords:
Grid, Raster quadrants, Latitude, Coordinates, Centroid, Central coordinate
Values:
51.1750000010558
50.9750000010334
51.0750000010721
51.0750000010048
51.1250000010557
Contributors:
No information available

Dataset column

Name:
Species
Definition:
Scientific name of the species
Unit:
No information available
Datagroup:
Species names of odonata
Keywords:
Species, Odonata, Taxonomy, Species name
Values:
Coenagrion ornatum
Leucorrhinia albifrons
Coenagrion mercuriale
Gomphus flavipes
Aeshna viridis
Contributors:
No information available

Dataset column

Name:
Genus
Definition:
The genus to which the species belongs
Unit:
No information available
Datagroup:
Genus names of odonata
Keywords:
Genus, Odonata, Taxonomy, Species name
Values:
Ophiogomphus
Aeshna
Coenagrion
Gomphus
Leucorrhinia
Contributors:
No information available

Dataset column

Name:
Family
Definition:
The family to which the species belongs
Unit:
No information available
Datagroup:
Family names of odonata
Keywords:
Family, Odonata, Taxonomy, Species name
Values:
Gomphidae
Aeshnidae
Libellulidae
Coenagrionidae
Contributors:
No information available

Dataset column

Name:
Order
Definition:
The order the species belongs to
Unit:
No information available
Datagroup:
Helper
Keywords:
Order, Odonata, Taxonomy, Species name
Values:
Odonata
Contributors:
No information available

Dataset column

Name:
ART_DEU
Definition:
German vernacular name of the species
Unit:
No information available
Datagroup:
German vernacular names
Keywords:
German vernacular names
Values:
Gruene Flussjungfer
Asiatische Keiljungfer
Grosse Moosjungfer
Gruene Mosaikjungfer
Helm-Azurjungfer
Contributors:
No information available

Dataset column

Name:
ANZAHL
Definition:
Abundance measure connected to the respective occurrence report
Unit:
No information available
Datagroup:
Abundance estimate
Keywords:
Abundance, Number of individuals
Values:
103
1
12
11
10
Contributors:
No information available

Dataset column

Name:
EINHEIT
Definition:
Information on the life stage of the respective occurrence report (e.g. adult, larva)
Unit:
No information available
Datagroup:
Helper
Keywords:
Mode of abundance estimation
Values:
Exuvien
Eiablage
Alttier/Imago
Jungtier
Individuum (unbest. Altersklassen)
Contributors:
No information available

Dataset column

Name:
BEOBACHTER
Definition:
Information on the person who reported the occurrence
Unit:
No information available
Datagroup:
Reporter of the specific sample/observation
Keywords:
Reporter
Values:
Beu??1
Brockhaus
Beuthan
Buttstedt/Zimmermann
Buttstedt
Contributors:
No information available

Dataset column

Name:
NACHWEIS
Definition:
Information on how the occurrence was detected (e.g. sighting, acoustic, traps)
Unit:
No information available
Datagroup:
Mode of detection of a sample
Keywords:
No information available
Values:
Fang: Netzfang/Keschern
keine Angabe/unklar
Sicht: Sichtbeobachtung
NA
Entw.: Exuvien
Contributors:
No information available

Dataset column

Name:
NATURA2000
Definition:
Is the respective species listed in the Natura2000 guideline
Unit:
No information available
Datagroup:
Status information on Natura2000 guideline
Keywords:
Natura2000, Protection status
Values:
FFH-II
FFH-II, FFH-IV
FFH-IV
Contributors:
No information available

Dataset column

Name:
DATUM
Definition:
Date on which the sample was found
Unit:
No information available
Datagroup:
Date time information
Keywords:
Date, Date infomraion, Year/Month/Day
Values:
1924-08-18
1964-07-13
1964-01-01
1925-08-18
1960-07-31
Contributors:
No information available

Dataset column

Name:
JAHR
Definition:
Year in which the sample was reported
Unit:
No information available
Datagroup:
Date time information
Keywords:
Date, Date Infromation, Year
Values:
0
1924
1964
1925
1960
Contributors:
No information available

Dataset column

Name:
Bundesland
Definition:
Federal state in which the respective occurrence report is located
Unit:
No information available
Datagroup:
Federal states
Keywords:
Federal state
Values:
Sachsen-Anhalt
Contributors:
No information available

Dataset column

Name:
Naturraum
Definition:
Natural region in which the MTB_Q is located
Unit:
No information available
Datagroup:
Natural region
Keywords:
Natural region, Grid
Values:
Burg-Ziesarer Vorflaeming
Altenburg-Zeitzer Loessgebiet
Droemling
Bittkauer Platte
Dahlen-Duebener Heiden
Contributors:
No information available

No information available


Filter:
Attachment:

File name:
Aufarbeitung_Tierdaten_SA.R
Description:
R Script that was used to derive the present dataset.
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
11.9 KB
Created at:
2018-01-21
Updated at:
2018-01-21

Attachment:

File name:
Odonata_sa.rds
Description:
Full list of occurrence data of odonate in Saxony-Anhalt. For processing in R use readRDS().
Uri:
No information available
Is essential:
No information available
Content type:
application/octet-stream
File size:
77.7 KB
Created at:
2018-01-21
Updated at:
2018-01-21

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David
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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
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Created at: 2018-01-15
Updated at: 2018-01-15

sWork: Workshop Team

Description:
The Project sMon will organize workshops to coordinate the forthcoming of the project. Together with stakeholders from different organizations such as Federal Agencies for Nature Protection, Nature protection associations and selected experts on d...

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Created at: 2018-01-15
Updated at: 2018-01-15

sOdo: Odonata Data

Description:
This subproject delivers, creates and works with a focus on data that deal with odonata (dragonflies). Members of this group originate from Federal Agencies, the GdO (Gesellschaft deutschsprachiger Odonatologen) and scientists that contribute and ...

Id: 4
Users: 6
Datasets: 3
Proposals: 1
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Created at: 2018-01-15
Updated at: 2018-01-15

LAU-SA: Landesamt für Umweltschutz Sachsen-Anhalt

Description:
Im Landesamt für Umwelt Sachsen-Anhalt setzen rund 200 Wissenschaftler, Ingenieure und Techniker sowie Labor- und Verwaltungsfachkräfte ihr Wissen und Können dafür ein, Lösungen für immer vielfältiger werdende Umweltprobleme zu finden. Dabei liefe...

Id: 11
Users: 2
Datasets: 5
Proposals: 0
Attachments: 0
Created at: 2018-01-15
Updated at: 2018-01-15
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