ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Data  (7)
Collection
Keywords
Publisher
Years
  • 1
    Publication Date: 2023-03-07
    Description: Oxygen concentration and rate of change of oxygen were measured using the Unisense Oxygen Microsensor System. Water from different depth was taken from CTD attached niskin bottle. Measurements were conducted in 2 ml vials provided by Unisense and lasted for a minimum of two minutes after a stable rate was achieved. The sampling interval was 6 seconds. Transport containers, tubes and vials for measurements were covered with light proof black foil for dark-measurements.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Chlorophyll total; Coefficient of determination; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; EURO-BASIN; Event label; James Cook; JC087; JC087-003; JC087-031; Latitude of event; Longitude of event; Oxygen; Oxygen, microelectrode, ex-situ; Porcupine Abyssal Plain; Respiration rate, oxygen
    Type: Dataset
    Format: text/tab-separated-values, 19 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Kuechly, Helga U; Kyba, Christopher C M; Ruhtz, Thomas; Lindemann, Carsten; Wolter, Christian; Fischer, Jürgen; Hölker, Franz (2012): Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany. Remote Sensing of Environment, 126, 39-50, https://doi.org/10.1016/j.rse.2012.08.008
    Publication Date: 2023-01-13
    Description: Aerial observations of light pollution can fill an important gap between ground based surveys and nighttime satellite data. Terrestrially bound surveys are labor intensive and are generally limited to a small spatial extent, and while existing satellite data cover the whole world, they are limited to coarse resolution. This paper describes the production of a high resolution (1 m) mosaic image of the city of Berlin, Germany at night. The dataset is spatially analyzed to identify themajor sources of light pollution in the city based on urban land use data. An area-independent 'brightness factor' is introduced that allows direct comparison of the light emission from differently sized land use classes, and the percentage area with values above average brightness is calculated for each class. Using this methodology, lighting associated with streets has been found to be the dominant source of zenith directed light pollution (31.6%), although other land use classes have much higher average brightness. These results are compared with other urban light pollution quantification studies. The minimum resolution required for an analysis of this type is found to be near 10 m. Future applications of high resolution datasets such as this one could include: studies of the efficacy of light pollution mitigation measures, improved light pollution simulations, economic and energy use, the relationship between artificial light and ecological parameters (e.g. circadian rhythm, fitness, mate selection, species distributions, migration barriers and seasonal behavior), or the management of nightscapes. To encourage further scientific inquiry, the mosaic data is freely available at Pangaea.
    Keywords: AC; Aircraft; Berlin, Germany; File name; File size; Uniform resource locator/link to image; Verlust_der_Nacht
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2024-01-24
    Keywords: 201; 205b; 208; 209; 210; 219; 221; 228a; 228b; 229; 230; 232b; 234; 237; 239; 240; 241; 242; 246; 283-1; 283-4; 285-1; 286-1; 287-1; 287-2; 288-2; 288-4; 290-1; 291-1; 291-3; 292-1; 292-2; 293-1; 293-2; 293-3; 293-4; 293-5; 293-6; 293-7; 294-1; 294-2; 294-3; 294-4; 294-6; 295-1; 295-2; 295-3; 295-4; 295-5; 295-6; 296-1; 296-2; 296-5; 296-6; Alginite; Arctic Ocean; ARK-XI/1; ARK-XI/1_201; ARK-XI/1_205b; ARK-XI/1_208; ARK-XI/1_209; ARK-XI/1_210; ARK-XI/1_219; ARK-XI/1_221; ARK-XI/1_228a; ARK-XI/1_228b; ARK-XI/1_229; ARK-XI/1_230; ARK-XI/1_232b; ARK-XI/1_234; ARK-XI/1_237; ARK-XI/1_239; ARK-XI/1_240; ARK-XI/1_241; ARK-XI/1_242; ARK-XI/1_246; Carbon, organic, particulate; Carbon dioxide yield, S3 per unit sediment mass; Chlorite; Coal clasts or fragments; Coke; Depth, bottom/max; DEPTH, ice/snow; Depth, top/min; Detrinite; East Siberian Sea; Element analyser CNS, Carlo Erba NA1500; Event label; Fluorescent microscope; GEOMAR; Helmholtz Centre for Ocean Research Kiel; Huminite; Hydrocarbon yield, S1 per unit sediment mass; Hydrocarbon yield, S2 per unit sediment mass; Hydrogen index, mass HC, per unit mass total organic carbon; ICE; Ice station; Illite; Illite 5Å/10Å Esquevin-index; Kaolinite; Kapitan Dranitsyn; Laptev Sea; Latitude of event; Liptinite; Liptinite, marine; Liptodetrinite; Longitude of event; Maceral, marine; Maceral, terrigenous; Polarstern; PS36; Pyrolysis temperature maximum; Quaternary Environment of the Eurasian North; QUEEN; Resinite; Rock eval pyrolysis (Behar et al., 2001); Sea ice thickness; Sea ice type; Sediment and debris content; Smectite; TDIII_283-1; TDIII_283-4; TDIII_285-1; TDIII_286-1; TDIII_287-1; TDIII_287-2; TDIII_288-2; TDIII_288-4; TDIII_290-1; TDIII_291-1; TDIII_291-3; TDIII_292-1; TDIII_292-2; TDIII_293-1; TDIII_293-2; TDIII_293-3; TDIII_293-4; TDIII_293-5; TDIII_293-6; TDIII_293-7; TDIII_294-1; TDIII_294-2; TDIII_294-3; TDIII_294-4; TDIII_294-6; TDIII_295-1; TDIII_295-2; TDIII_295-3; TDIII_295-4; TDIII_295-5; TDIII_295-6; TDIII_296-1; TDIII_296-2; TDIII_296-5; TDIII_296-6; Transdrift-III; Visual description; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 1466 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-01-24
    Keywords: 283-1; 286-1; 294-1; 295-3; DEPTH, ice/snow; Event label; Fluorescent microscope; GEOMAR; Helmholtz Centre for Ocean Research Kiel; ICE; Ice station; Kapitan Dranitsyn; Laptev Sea; Latitude of event; Longitude of event; Quaternary Environment of the Eurasian North; QUEEN; TDIII_283-1; TDIII_286-1; TDIII_294-1; TDIII_295-3; Transdrift-III; Vitrinite reflection
    Type: Dataset
    Format: text/tab-separated-values, 154 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-02-02
    Description: Oxygen concentration and rate of change of oxygen were measured using the Unisense Oxygen Microsensor System. Water from different depth was taken from CTD attached niskin bottle. Measurements were conducted in 2 ml vials provided by Unisense and lasted for a minimum of two minutes after a stable rate was achieved. The sampling interval was 6 seconds. Transport containers, tubes and vials for measurements were covered with light proof black foil for dark-measurements. Measurements labeled "unfiltered" were passed through a 200 µm sieve in order to remove potential biases stemming from individual meso-zooplankton. Measurements labeled "filtered" were passed through a 0.8 µm polycarbonate filter placed on top of a wetted GF/F filter.
    Keywords: Basin Scale Analysis, Synthesis and Integration; Chlorophyll total; Coefficient of determination; CTD/Rosette; CTD-RO; Date/Time of event; Deep Convection Cruise; DEPTH, water; EURO-BASIN; Event label; Latitude of event; Longitude of event; M87/1_578-1; M87/1_624-1; M87/1_659-1; M87/1_679-1; M87/1b; Meteor (1986); Oxygen; Oxygen, microelectrode, ex-situ; Respiration rate, oxygen; Station 1; Station 2; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 101 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Lindemann, Frank (1998): Sedimente im arktischen Meereis - Eintrag, Charakterisierung und Quantifizierung (Sediments in arctic sea ice - entrainment, characterization and quantification). Berichte zur Polarforschung = Reports on Polar Research, 283, 124 pp, https://doi.org/10.2312/BzP_0283_1998
    Publication Date: 2024-01-24
    Description: Sediments in Arctic sea ice are important for erosion and redistribution and consequently a factor for the sediment budget of the Arctic Ocean. The processes leading to the incorporation of sediments into the ice are not understood in detail yet. In the present study, experiments on the incorporation of sediments were therefore conducted in ice tanks of The Hamburg Ship Model Basin (HSVA) in winter 1996/1997, These experiments showed that on average 75 % of the artificial sea-ice sediments were located in the brine-channel system. The sediments were scavenged from the water column by frazil ice. Sediments functioning as a nucleus for the formation of frazil ice were less important for the incorporation. Filtration in grease ice during relatively calm hydrodynamic conditions was probably an effective process to enrich sediments in the ice. Wave fields did not play an important role for the incorporation of sediments into the artificial sea ice. During the expedition TRANSDRIFT III (TDIII, October 1995), different types of natural, newly-formed sea ice (grease ice, nilas and young ice) were sampled in the inner Laptev Sea at the time of freeze-up. The incorporation of sediments took place during calm meteorological conditions then. The characteristics of the clay mineral assemblages of these sedirnents served as references for sea-ice sediments which were sampled from first-year drift ice in the outer Laptev Sea and the adjacent Arctic Ocean during the POLARSTERN expedition ARK-XI/1 (July-September 1995). Based on the clay mineral assemblages, probable incorporation areas for the sedirnents in first-year drift ice could be statistically reconstructed in the inner Laptev Sea (eastern, central, and Western Laptev Sea) as well as in adjacent regions. Comparing the amounts of particulate organic carbon (POC) in sea-ice sediments and in surface sediments from the shelves of potential incorporation areas often reveals higher values in sea-ice sediments (TDIII: 3.6 %DM; ARK-XI/1: 2.3 %DM). This enrichment of POC is probably due to the incorporation process into the sea ice, as could be deducted from maceral analysis and Rock-Eval pyrolysis. Both methods were applied in the present study to particulate organic material (POM) from sea-ice sediments for the first time. It was shown that the POM of the sea-ice sediments from the Laptev Sea and the adjacent Arctic Ocean was dominated by reworked, strongly fragmented, allochthonous (terrigenous) material. This terrigenous component accounted for more than 75 % of all counted macerals. The autochthonous (marine) component was also strongly fragmented, and higher in the sediments from newly-formed sea ice (24 % of all counted macerals) as compared to first-year drift ice (17 % of all counted macerals). Average hydroge indices confirmed this pattern and were in the transition zone between kerogen types II and III (TDIII: 275 mg KW/g POC; ARK-XI/1: 200 mg KW/g POC). The sediment loads quantified in natural sea ice (TDIII: 33.6 mg/l, ARK-XI/1: 49.0 mg/l) indicated that sea-ice sediments are an important factor for the sediment budget in the Laptev Sea. In particular during the incorporation phase in autumn and early winter, about 12 % of the sediment load imported annually by rivers into the Laptev Sea can be incorporated into sea ice and redistributed during calm meteorological conditions. Single entrainment events can incorporate about 35 % of the river input into the sea ice (ca. 9 x 10**6 t) and export it via the Transpolar Drift from the Eurasian shelf to the Fram Strait.
    Keywords: 201; 205b; 208; 209; 210; 219; 221; 228a; 228b; 229; 230; 232b; 234; 237; 239; 240; 241; 242; 246; 283-1; 283-4; 285-1; 286-1; 287-1; 287-2; 288-2; 288-4; 290-1; 291-1; 291-3; 292-1; 292-2; 293-1; 293-2; 293-3; 293-4; 293-5; 293-6; 293-7; 294-1; 294-2; 294-3; 294-4; 294-6; 295-1; 295-2; 295-3; 295-4; 295-5; 295-6; 296-1; 296-2; 296-5; 296-6; Arctic Ocean; ARK-XI/1; ARK-XI/1_201; ARK-XI/1_205b; ARK-XI/1_208; ARK-XI/1_209; ARK-XI/1_210; ARK-XI/1_219; ARK-XI/1_221; ARK-XI/1_228a; ARK-XI/1_228b; ARK-XI/1_229; ARK-XI/1_230; ARK-XI/1_232b; ARK-XI/1_234; ARK-XI/1_237; ARK-XI/1_239; ARK-XI/1_240; ARK-XI/1_241; ARK-XI/1_242; ARK-XI/1_246; East Siberian Sea; ICE; Ice station; Kapitan Dranitsyn; Laptev Sea; Polarstern; PS36; Quaternary Environment of the Eurasian North; QUEEN; TDIII_283-1; TDIII_283-4; TDIII_285-1; TDIII_286-1; TDIII_287-1; TDIII_287-2; TDIII_288-2; TDIII_288-4; TDIII_290-1; TDIII_291-1; TDIII_291-3; TDIII_292-1; TDIII_292-2; TDIII_293-1; TDIII_293-2; TDIII_293-3; TDIII_293-4; TDIII_293-5; TDIII_293-6; TDIII_293-7; TDIII_294-1; TDIII_294-2; TDIII_294-3; TDIII_294-4; TDIII_294-6; TDIII_295-1; TDIII_295-2; TDIII_295-3; TDIII_295-4; TDIII_295-5; TDIII_295-6; TDIII_296-1; TDIII_296-2; TDIII_296-5; TDIII_296-6; Transdrift-III
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Fahl, Kirsten; Cremer, Holger; Erlenkeuser, Helmut; Hanssen, Hinrich; Hölemann, Jens A; Kassens, Heidemarie; Knickmeier, Karin; Kosobokova, Ksenia N; Kunz-Pirrung, Martina; Lindemann, Frank; Markhaseva, Elena; Lischka, Silke; Petryashov, Victor; Piepenburg, Dieter; Schmid, Michael K; Spindler, Michael; Stein, Ruediger; Tuschling, Kirsten (2001): Sources and pathways of organic carbon in the modern Laptev Sea (Arctic Ocean): implications from biological, geochemical and geological data. Polarforschung, 69, 193-205, hdl:10013/epic.29844.d001
    Publication Date: 2024-04-16
    Description: During the past six years organic geochemical, micropaleontological, and sedimentological investigations were carried out within the framework of the multidisciplinary bilateral German-Russian research project ''System Laptev Sea'' and detailed biological investigations within the project ''German-Russian Investigations of the Marginal Seas of the Eurasian Arctic'', In order to understand the Laptev Sea ecosystem and to obtain information about sources and fate of organic carbon, the distribution of phyto- and zooplankton, diatoms, chlorophyll a benthic macrofauna, palynomorphs, grain size, total organic carbon, d13Corg and biomarkers (n-alkanes, fatty acids) were determined. In general, the influence of the major rivers draining into the Laptev Sea, is reflected in the water column as well as in the surface sediments. In both habitats three ecological provinces can be distinguished, i.e., the southeastern Laptev Sea, the central Laptev Sea, and the northern Laptev Sea. Additionally, clear differences between the western and the eastern Laptev Sea occur. The comparison of the different data sets of the water column and the surface sediments provide information about organic carbon sources and pathways in the Laptev Sea shelf and continental slope area.
    Keywords: AWI_Paleo; BCR; Box corer (Reineck); Carbon, organic, total; CTD/Rosette; CTD-RO; DEPTH, sediment/rock; Element analyser CHN, LECO CNS 2000; Elevation of event; Event label; GEOMAR; Giant box corer; GKG; Grab; GRAB; Helmholtz Centre for Ocean Research Kiel; IK9301-6; IK9306-6; IK9309-4; IK9313-6; IK9315-1; IK9316-6; IK9318-3; IK9320-1; IK9321-5; IK9323-6; IK9324-4; IK9330-2; IK9334-7; IK9338-5; IK9340-6; IK9342-6; IK9344-8; IK9346-4; IK9348-6; IK9353-9; IK9356-2; IK9358-5; IK9365-6; IK9367-2; IK9370-12; IK9371-1; IK9373-8; IK9373A-6; IK9382-6; IK9384-1; IK93K1-1; IK93K2-1; IK93Z3-3; IK93Z4-4; IK93Z5-3; Isotope ratio mass spectrometry; Ivan Kireyev; Kapitan Dranitsyn; KD9502-12; KD9509-6; KD9510-3; KD9517-3; KD9523-7; KD9529-11; KD9533-10; KD9541-12; KD9548-11; KD9555-10; KD9560-5; KD9561-3; KD9565-11; KD9568-7; KD9572-1; Laptev Sea; LATITUDE; Lena Nordenskøld Station; LN9604-8; LN9604-9; LN9605-8; LN9605-9; LN9606-10; LN9606-9; LN9608-12; LN9609-14; LN9610-11; LN9611-12; LN9612-8; LN9613-8; LN9614-7; LN9615-5; LN9616-7; LN9617-8; LN9618-8; LN9619-9; LN9620-12; LN9621-11; LN9622-8; LN9623-10; LN9624-10; LN9625-10; LONGITUDE; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Photo/Video; PM9402-3; PM9417-4; PM9441-4; PM9442-3; PM9462-1; PM9463-8; PM9475-3; PM9481-2; PM9482-1; PM9492-3; PM9494-5; PM9499-1; Professor Multanovskiy; PV; Quaternary Environment of the Eurasian North; QUEEN; Siberian River Run-Off; SIRRO; Transdrift-I; Transdrift-II; Transdrift-III; Transdrift-IV; van Veen Grab; VGRAB; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 170 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...