API src

Found 9657 results.

Similar terms

s/ctu/Cu/gi

WMS MSRL: D8-Schadstoffe (sh-llur), Mittelwert 2005-2010

Der WMS umfasst Schadstoffe im Wasser und im Sediment, die an Messstationen des LLUR erfasst werden. Parameter: Quecksilber, Blei, Kupfer, Nickel, Arsen, Cadmium, Chrom, Zink.

Innovative Kupferschlackenaufbereitung für die Rohstoffversorgung, Teilvorhaben 2: Entwicklung eines Prozessschemas sowie Umweltverträglichkeitsprüfungen mittels Life Cycle Assessment

Weiterentwicklung eines (teil-)autonomen Multiplattform-Fahrzeugs für die drohnengestützte Exploration und robotergesteuerte Anwendungen in der Rohstoffgewinnung in rauem Umfeld, Teilvorhaben 2: Robotik

METOP GOME-2 - Cloud Top Pressure (CTP) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. OCRA (Optical Cloud Recognition Algorithm) and ROCINN (Retrieval of Cloud Information using Neural Networks) are used for retrieving the following geophysical cloud properties from GOME and GOME-2 data: cloud fraction (cloud cover), cloud-top pressure (cloud-top height), and cloud optical thickness (cloud-top albedo). OCRA is an optical sensor cloud detection algorithm that uses the PMD devices on GOME / GOME-2 to deliver cloud fractions for GOME / GOME-2 scenes. ROCINN takes the OCRA cloud fraction as input and uses a neural network training scheme to invert GOME / GOME-2 reflectivities in and around the O2-A band. VLIDORT [Spurr (2006)] templates of reflectances based on full polarization scattering of light are used to train the neural network. ROCINN retrieves cloud-top pressure and cloud-top albedo. The cloud-top pressure for GOME scenes is derived from the cloud-top height provided by ROCINN and an appropriate pressure profile. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

Collection of CTD raw data files of RV HEINCKE cruises since HE417, March 2014

This data collection contains the CTD raw data files of RV HEINCKE cruises starting with HE417 (March 2014) to today. The collection is regularly updated with data from new campaigns. If data was processed and published here on Pangaea, it is linked to the raw data of a respective cruise. Navigate to the respective cruise and see link to "Other version" .

Raw data of physical oceanography during RV HEINCKE cruise HE655/2

Raw physical oceanography data was acquired by a ship-based Seabird SBE911plus CTD-Rosette system onboard RV HEINCKE . The CTD was equipped with duplicate sensors for temperature (SBE3plus) and conductivity (SBE4) as well as one sensor for oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer (FLRTD) and an altimeter (Teledyne Benthos PSA-916) were mounted to the CTD. The data was recorded using pre-cruise calibration coefficients. No correction, post-cruise calibration or quality control was applied. Processed profile data are available via the link below.

Raw data of physical oceanography during RV HEINCKE cruise HE654/1

Raw physical oceanography data was acquired by a ship-based Seabird SBE911plus CTD-Rosette system onboard RV HEINCKE . The CTD was equipped with duplicate sensors for temperature (SBE3plus) and conductivity (SBE4) as well as one sensor for oxygen (SBE43). Additional sensors such as a WET Labs C-Star transmissometer, a WET Labs ECO-AFL fluorometer (FLRTD) and an altimeter (Teledyne Benthos PSA-916) were mounted to the CTD. The data was recorded using pre-cruise calibration coefficients. No correction, post-cruise calibration or quality control was applied. Processed profile data are available via the link below.

openSenseMap: Sensor Box idrop-6f9f5b

Visualized position. Position does not represent exact sample coordinates. Do not use data set as point data.

Schwermetalldaten Hamburger Südosten

Der Untersuchungsraum liegt in einem Gebiet, das nachweisbar von der vorhandenen Industrie beeinflusst wurde und wird. Insbesondere in der Vergangenheit gelangten u.a. Schwermetalle über den Luftpfad auf die Oberböden. Da sich diese Stoffe nicht abbauen, sind auch heute noch erhöhte Gehalte – vor allem an Arsen und Kupfer - zu finden. Ab 2001 wurde auf Grundlage des Bundes-Bodenschutzgesetzes (BBodSchG) damit begonnen, alle vorhandenen Bodendaten im Hamburger Südosten zu erfassen und zusammen zuführen. Es wurden ausschließlich Daten von Probenahmestellen ausgewertet, die gewährleisten, dass Belastungen des Oberbodens nicht auf „Altlasten, schädliche Bodenveränderungen, altlastverdächtige Flächen oder Verdachtsflächen“ zurückzuführen sind. Die veröffentlichten Daten beinhalten die Arsen- und Schwermetallgehalte, die im Raster von 500 x 500 m enthalten sind. Es können mehrere Datensätze oder gar keine in diesem Raster vorliegen. Leere Kacheln bedeuten, dass keine Daten vorliegen.

INSPIRE: Geoscientific Map of Germany 1:2,000,000 - Important deposits (GK2000 Lagerstätten)

The GK2000 Lagerstätten (INSPIRE) shows deposits and mines of energy resources, metal resources, industrial minerals and salt on a greatly simplified geology within Germany on a scale of 1:2,000,000. According to the Data Specifications on Mineral Resources (D2.8.III.21) and Geology (D2.8.II.4_v3.0) the content of the map is stored in three INSPIRE-compliant GML files: GK2000_Lagerstaetten_Mine.gml contains mines as points. GK2000_ Lagerstaetten _EarthResource_polygon_Energy_resources.gml contains energy resources as polygons. GK2000_ Lagerstaetten _GeologicUnit.gml contains the greatly simplified geology of Germany. The GML files together with a Readme.txt file are provided in ZIP format (GK2000_ Lagerstaetten -INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

1 2 3 4 5964 965 966