Other language confidence: 0.9401494158143628
The data collection contains species occurrence records of freshwate diatom taxa from the Indian Ocean Islands (Madagascar, Mauritius, Seychelles). The species records have been collated from existing historical museum records and collections as well as from published scientific literature sources. The data set is a work in progress and more data will be added to it over time. The focus initially will be on Madagascar, followed by the smaller islands in no particular order.
Species occurrence records for freshwater aquatic insect taxa namely the EPT (Ephemeroptera, Plecoptera, Trichoptera) as well as freshwater diatom taxa from the Indian Ocean Islands (Madagascar, Mauritius, Seychelles). The species records have been collated from existing historical museum records and collections as well as from published scientific literature sources. The data set is a work in progress and more data will be added to it over time. The focus initially will be on Madagascar, followed by the smaller islands in no particular order. Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FAI_1).
The database comprises the distribution of freshwater fish species in 28 Italian lakes. Data were obtained between 2007 and 2014 from standardised (CEN based) samplings with benthic and mesopelagic multi-mesh gillnets. The database offers a detailed description of the biodiversity of fish communities in the Italian regions of Piedmont, Lombardy, Trentino-Alto Adige and Sardinia including both natural lakes and reservoirs. Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FWM_19) and in the Freshwater Metadata Journal (https://doi.org/10.15504/fmj.2018.35).
The dataset includes data on fish species distribution along the shoreline of 25 Italian lakes and reservoirs achieved by point abundance standardised electrofishing. Data were obtained between 2007 and 2014. The database offers a detailed description of the biodiversity of fish communities in the Italian regions of Piedmont, Lombardy, Trentino-Alto Adige and Sardinia including both natural lakes and reservoirs. Detailed metadata can be found in the Freshwater Metadatabase (http://data.freshwaterbiodiversity.eu/metadb/bf_mdb_view.php?entryID=FWM_20) and in the Freshwater Metadata Journal (http://freshwaterjournal.eu).
Precipitation of iron sulfides in sediments of deep lakes is linked to lake productivity and deep-water mixing. The concentration of iron sulfides in lake sediments may therefore contain information on the intensity of deep-water mixing, which is governed by climate variables such as wind speed and temperature. It is the goal of this project to make the geochemical information stored in iron sulfides in sediments more accessible for the reconstruction of past environmental conditions. Through an international collaboration with a group at the University of Grenoble the project will initiate a fundamental study of mineralogical transformations of iron sulfides in sediments. Synchrotron-based X-ray spectroscopy (EXAFS) offers new possibilities to obtain structural information from poorly cristallized samples. The method will be combined with in-situ analytical techniques to determine the sulfide record in different sedimentary environments (Lakes Baldegg and Lugano in Switzerland , Lake Baikal in Siberia and the Black Sea continental shelf). Leading Questions: The proposed study is focused on the following research goals: - To determine the local structure of amorphous iron sulfides derived from the reduction of different iron oxides and hydroxides by sulfide; - the apply this knowledge to the study of amorphous iron sulfides which prevail in lake sediments and to the crystal chemistry of intimately associated trace/minor elements; - to calibrate iron sulfides in sediments as a redox indicator of deep-water anoxia; - to apply this indicator for the reconstruction of aspects of continental climate variability in the last 10'000 years.
| Organisation | Count |
|---|---|
| Bund | 1 |
| Wissenschaft | 4 |
| Type | Count |
|---|---|
| Daten und Messstellen | 4 |
| Förderprogramm | 1 |
| Taxon | 4 |
| License | Count |
|---|---|
| offen | 5 |
| Language | Count |
|---|---|
| Englisch | 5 |
| Resource type | Count |
|---|---|
| Keine | 1 |
| Unbekannt | 4 |
| Topic | Count |
|---|---|
| Boden | 1 |
| Lebewesen und Lebensräume | 5 |
| Luft | 1 |
| Mensch und Umwelt | 5 |
| Wasser | 5 |
| Weitere | 5 |