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
  • Blackwell Publishing Ltd  (101)
  • Springer Nature  (85)
  • PANGAEA  (54)
  • 2020-2024  (57)
  • 1990-1994  (183)
Collection
Keywords
Language
Years
Year
  • 1
    Publication Date: 2024-03-22
    Description: Soil fauna drives crucial processes of energy and nutrient cycling in agricultural systems, and influences the quality of crops and pest incidence. Soil tillage is the most influential agricultural manipulation of soil structure, and has a profound influence on soil biology and its provision of ecosystem services. The objective of this study was to quantify through meta‐analyses the effects of reducing tillage intensity on density and diversity of soil micro‐ and mesofaunal communities, and how these effects vary among different pedoclimatic conditions and interact with concurrent management practices. We present the results of a global meta‐analysis of available literature data on the effects of different tillage intensities on taxonomic and functional groups of soil micro‐ and mesofauna. We collected paired observations (conventional vs. reduced forms of tillage/no‐tillage) from 133 studies across 33 countries. Our results show that reduced tillage intensity or no‐tillage increases the total density of springtails (+35%), mites (+23%), and enchytraeids (+37%) compared to more intense tillage methods. The meta‐analyses for different nematode feeding groups, life‐forms of springtails, and taxonomic mite groups showed higher densities under reduced forms of tillage compared to conventional tillage on omnivorous nematodes (+53%), epedaphic (+81%) and hemiedaphic (+84%) springtails, oribatid (+43%) and mesostigmatid (+57%) mites. Furthermore, the effects of reduced forms of tillage on soil micro‐ and mesofauna varied with depth, climate and soil texture, as well as with tillage method, tillage frequency, concurrent fertilisation, and herbicide application. Our findings suggest that reducing tillage intensity can have positive effects on the density of micro‐ and mesofaunal communities in areas subjected to long‐term intensive cultivation practices. Our results will be useful to support decision making on the management of soil faunal communities and will facilitate modelling efforts of soil biology in global agroecosystems. HIGHLIGHTS Global meta‐analysis to estimate the effect of reducing tillage intensity on micro‐ and mesofauna Reduced tillage or no‐tillage has positive effects on springtail, mite and enchytraeid density Effects vary among nematode feeding groups, springtail life forms and mite suborders Effects vary with texture, climate and depth and depend on the tillage method and frequency
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: https://doi.org/10.20387/bonares-eh0f-hj28
    Keywords: ddc:631.4 ; agricultural land use ; conservation agriculture ; conventional agriculture ; soil biodiversity ; soil cultivation
    Language: English
    Type: doc-type:article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-05-24
    Description: Hair samples were collected throughout the United States, with particular focus on major metropolitan areas of the western United States. Hair samples were collected in 2004 as well as between 2013-2015. Here hydrogen (d2H) and oxygen (d18O) isotope values along with strontium isotope ratios (87Sr/86Sr) and element abundances were measured. d2H and d18O values, 87Sr/86Sr, and elemental compositions of 560, 385 and 306 hair samples were analyzed following Tipple et al., 2018 (Scientific Reports, 8, 2224), respectively. The purpose of these data was to assess geospatial variations in isotope and elemental geochemistry of human hair. We found that the isotope and elemental geochemistry of human hair largely corresponded to the geochemistry of drinking and bathing water, which in turn varied by water source and management practice. These data provide a foundation to reconstruct human movements using the geochemistry of modern or ancient human hair.
    Keywords: anthropogenic tracers; provenance analysis; stable isotope analysis; strontium isotopes; trace element; water chemistry; water isotopes; water management
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-05-24
    Keywords: anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_1280; California_1287; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_798; California_808; California_839; California_840; California_853; California_855; California_858; California_862; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1353; One-time_collection_1354; One-time_collection_1355; One-time_collection_1356; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1384; One-time_collection_1386; One-time_collection_1388; One-time_collection_1389; One-time_collection_1390; One-time_collection_1392; One-time_collection_1393; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1398; One-time_collection_1400; One-time_collection_1401; One-time_collection_1402; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; One-time_collection_1421; One-time_collection_1422; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_341; Salt_Lake_Valley_342; Salt_Lake_Valley_382; Salt_Lake_Valley_396; Salt_Lake_Valley_413; Salt_Lake_Valley_420; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_448; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; strontium isotopes; TC/EA-IRMS; trace element; United States; water chemistry; water isotopes; water management; Year of observation; δ18O; δ18O, standard deviation; δ Deuterium; δ Deuterium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 3134 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-05-24
    Keywords: Aluminium; anthropogenic tracers; Antimony; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; Arsenic; Barium; Beryllium; Boron; Cadmium; Caesium; Calcium; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; Cerium; Chromium; Cobalt; Copper; DATE/TIME; Europium; Event label; HHS; Human hair sample; ICP-MS; Iron; Lanthanum; LATITUDE; Lead; Lithium; Location ID; LONGITUDE; Magnesium; Manganese; Molybdenum; Neodymium; Nickel; Potassium; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; Selenium; Sodium; stable isotope analysis; Strontium; strontium isotopes; Thorium; trace element; United States; Uranium; Vanadium; water chemistry; water isotopes; water management; Year of observation; Yttrium; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 5779 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2023-05-24
    Keywords: anthropogenic tracers; Area/locality; Arizona_1156; Arizona_1161; Arizona_1197; Arizona_1199; Arizona_570; Arizona_577; Arizona_579; Arizona_585; Arizona_602; Arizona_611; Arizona_625; Arizona_630; Arizona_635; Arizona_640; Arizona_661; Arizona_677; Arizona_678; California_198; California_200; California_201; California_202; California_205; California_208; California_470; California_473; California_480; California_485; California_487; California_491; California_495; California_542; California_549; California_561; California_562; California_563; California_564; California_731; California_733; California_738; California_756; California_772; California_779; California_781; California_785; California_872; California_879; California_882; California_883; California_884; California_885; California_887; California_888; California_889; California_898; California_901; California_904; California_909; California_913; California_914; California_917; DATE/TIME; Event label; HHS; Human hair sample; LATITUDE; Location ID; LONGITUDE; MC-ICP-MS; One-time_collection_1349; One-time_collection_1350; One-time_collection_1352; One-time_collection_1354; One-time_collection_1355; One-time_collection_1357; One-time_collection_1358; One-time_collection_1359; One-time_collection_1360; One-time_collection_1361; One-time_collection_1363; One-time_collection_1364; One-time_collection_1365; One-time_collection_1366; One-time_collection_1367; One-time_collection_1368; One-time_collection_1369; One-time_collection_1370; One-time_collection_1371; One-time_collection_1372; One-time_collection_1373; One-time_collection_1374; One-time_collection_1375; One-time_collection_1376; One-time_collection_1377; One-time_collection_1378; One-time_collection_1379; One-time_collection_1380; One-time_collection_1381; One-time_collection_1382; One-time_collection_1383; One-time_collection_1386; One-time_collection_1389; One-time_collection_1390; One-time_collection_1395; One-time_collection_1396; One-time_collection_1397; One-time_collection_1401; One-time_collection_1403; One-time_collection_1404; One-time_collection_1405; One-time_collection_1406; One-time_collection_1407; One-time_collection_1408; One-time_collection_1409; One-time_collection_1410; One-time_collection_1411; One-time_collection_1412; One-time_collection_1413; One-time_collection_1415; One-time_collection_1416; One-time_collection_1417; One-time_collection_1418; One-time_collection_1419; One-time_collection_1420; provenance analysis; Salt_Lake_Valley_1000; Salt_Lake_Valley_1001; Salt_Lake_Valley_1002; Salt_Lake_Valley_1003; Salt_Lake_Valley_1004; Salt_Lake_Valley_1005; Salt_Lake_Valley_1006; Salt_Lake_Valley_1007; Salt_Lake_Valley_1008; Salt_Lake_Valley_1009; Salt_Lake_Valley_1010; Salt_Lake_Valley_1011; Salt_Lake_Valley_1012; Salt_Lake_Valley_1013; Salt_Lake_Valley_1014; Salt_Lake_Valley_1015; Salt_Lake_Valley_1016; Salt_Lake_Valley_1017; Salt_Lake_Valley_1018; Salt_Lake_Valley_1019; Salt_Lake_Valley_248; Salt_Lake_Valley_249; Salt_Lake_Valley_250; Salt_Lake_Valley_251; Salt_Lake_Valley_342; Salt_Lake_Valley_413; Salt_Lake_Valley_421; Salt_Lake_Valley_432; Salt_Lake_Valley_996; Salt_Lake_Valley_997; Salt_Lake_Valley_998; Salt_Lake_Valley_999; Sample ID; stable isotope analysis; Strontium-87/Strontium-86 ratio; Strontium-87/Strontium-86 ratio, standard deviation; strontium isotopes; trace element; United States; water chemistry; water isotopes; water management; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 1655 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2023-06-27
    Description: The mass magnetic susceptibility (MS) was analyzed on wet bulk sediment aliquots using a KLY-2 Kappabridge (AGICO, Brno, Czech Republic). MS measurements were carried out on sample containers of 2 x 2 x 1.6 cm (i.e. a sample volume of 6.4 cm3), which frequently are used for palaeo and rock magnetic measurements. The only exceptions are samples 12 and 33, which did not contain sufficient material.
    Keywords: Depth, bathymetric; DEPTH, sediment/rock; Event label; Indo-Pacific Warm Pool (IPWP); Kappabridge; Lake_Towuti-01; Lake_Towuti-02; Lake_Towuti-03; Lake_Towuti-04; Lake_Towuti-05; Lake_Towuti-06; Lake_Towuti-07; Lake_Towuti-08; Lake_Towuti-09; Lake_Towuti-10; Lake_Towuti-11; Lake_Towuti-12; Lake_Towuti-13; Lake_Towuti-14; Lake_Towuti-15; Lake_Towuti-16; Lake_Towuti-17; Lake_Towuti-18; Lake_Towuti-19; Lake_Towuti-20; Lake_Towuti-21; Lake_Towuti-22; Lake_Towuti-23; Lake_Towuti-24; Lake_Towuti-25; Lake_Towuti-26; Lake_Towuti-27; Lake_Towuti-28; Lake_Towuti-29; Lake_Towuti-30; Lake_Towuti-31; Lake_Towuti-32; Lake_Towuti-33; Lake_Towuti-34; Lake_Towuti-35; Lake_Towuti-36; Lake_Towuti-37; Lake_Towuti-38; Lake_Towuti-39; Lake_Towuti-40; Lake_Towuti-41; Lake_Towuti-42; Lake_Towuti-43; Lake_Towuti-44; Lake_Towuti-45; Lake_Towuti-46; Lake_Towuti-47; Lake_Towuti-48; Lake_Towuti-49; Lake_Towuti-50; Lake_Towuti-51; Lake_Towuti-52; Lake_Towuti-53; Lake_Towuti-54; Lake_Towuti-55; Lake_Towuti-56; Lake_Towuti-57; Lake_Towuti-58; Lake_Towuti-59; Lake_Towuti-60; Lake_Towuti-61; Lake_Towuti-62; Lake_Towuti-63; Lake_Towuti-64; Lake_Towuti-65; Lake_Towuti-66; Lake_Towuti-67; Lake_Towuti-68; Lake_Towuti-69; Lake_Towuti-70; Lake_Towuti-71; Lake_Towuti-72; Lake_Towuti-73; Lake_Towuti-74; Lake_Towuti-75; Lake_Towuti-76; Lake_Towuti-77; Lake_Towuti-78; Lake_Towuti-79; Lake_Towuti-80; Lake_Towuti-81; Lake_Towuti-82; Lake_Towuti-83; Lake_Towuti-84; Lake Towuti; Latitude of event; Longitude of event; Magnetic susceptibility; modern sedimentation; provenance analysis; Redox conditions; Station label; tropical lake
    Type: Dataset
    Format: text/tab-separated-values, 250 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2023-06-27
    Description: For granulometric, geochemical and mineralogical analyses, approximately 25 ml of each surface sample was frozen for 24 hours and subsequently lyophilized using a Christ BETA 1-8 LDplus (Martin Christ Gefriertrocknungsanlagen GmbH, Osterode am Harz, Germany). The freeze-dried samples were homogenized and split into two aliquots. The other aliquot of the freeze-dried surface samples was ground to 〈63 µm with a Planetary Mill Pulverisette 5 (FRITSCH GmbH, Idar-Oberstein, Germany) and used for mineralogical and geochemical analyses. For quantitative analyses of the inorganic element composition of the surface samples, including concentrations of selected major, minor and trace elements (Ti, K, Al, Mg, Ca, Fe, Cr and Mn), 0.5 g of dry and ground bulk sample material was digested using a near-total digestion protocol with HCl, nitric (HNO3), perchloric (HClO4) and hydrofluoric (HF) acids in heated and closed teflon vessels. Measurements were performed by means of inductively coupled plasma-mass spectroscopy (ICP-MS) at Activation Laboratories Ltd., Ancaster, ON, Canada. Separate Si measurements were conducted by energy-dispersive X-ray fluorescence (ED-XRF) using a portable analyzer (NITON XL3t; Thermo Fisher Scientific, Waltham, MA, USA) at the University of Cologne, Germany. Triplicate measurements were performed on pellets of freeze-dried and ground sample aliquots, which were pressed into teflon rings under 12 bars, and subsequently covered with a 4 µm polypropylene film (X-ray film, TF-240-255, Premier Lab Supply, Port St. Lucie, FL, USA). Measurements were performed using a gold anode X-ray source (70 kV) and the 'mining-minerals-mode'. The secondary X-rays of element-specific photon energies were detected with a silicon drift detector and processed by a digital signal processor. Si concentrations (in ppm) were calculated from the element-specific fluorescence energies and compared with external and internal reference materials (STDS-4, BCR142R and BCR-CRM 277).
    Keywords: Aluminium; Calcium; Chromium; Copper; Depth, bathymetric; DEPTH, sediment/rock; Event label; ICP-MS; Indo-Pacific Warm Pool (IPWP); Iron; Lake_Towuti-01; Lake_Towuti-02; Lake_Towuti-03; Lake_Towuti-04; Lake_Towuti-05; Lake_Towuti-06; Lake_Towuti-07; Lake_Towuti-08; Lake_Towuti-09; Lake_Towuti-10; Lake_Towuti-11; Lake_Towuti-12; Lake_Towuti-13; Lake_Towuti-14; Lake_Towuti-15; Lake_Towuti-16; Lake_Towuti-17; Lake_Towuti-18; Lake_Towuti-19; Lake_Towuti-20; Lake_Towuti-21; Lake_Towuti-22; Lake_Towuti-23; Lake_Towuti-24; Lake_Towuti-25; Lake_Towuti-26; Lake_Towuti-27; Lake_Towuti-28; Lake_Towuti-29; Lake_Towuti-30; Lake_Towuti-31; Lake_Towuti-32; Lake_Towuti-33; Lake_Towuti-34; Lake_Towuti-35; Lake_Towuti-36; Lake_Towuti-37; Lake_Towuti-38; Lake_Towuti-39; Lake_Towuti-40; Lake_Towuti-41; Lake_Towuti-42; Lake_Towuti-43; Lake_Towuti-44; Lake_Towuti-45; Lake_Towuti-46; Lake_Towuti-47; Lake_Towuti-48; Lake_Towuti-49; Lake_Towuti-50; Lake_Towuti-51; Lake_Towuti-52; Lake_Towuti-53; Lake_Towuti-54; Lake_Towuti-55; Lake_Towuti-56; Lake_Towuti-57; Lake_Towuti-58; Lake_Towuti-59; Lake_Towuti-60; Lake_Towuti-61; Lake_Towuti-62; Lake_Towuti-63; Lake_Towuti-64; Lake_Towuti-65; Lake_Towuti-66; Lake_Towuti-67; Lake_Towuti-68; Lake_Towuti-69; Lake_Towuti-70; Lake_Towuti-71; Lake_Towuti-72; Lake_Towuti-73; Lake_Towuti-74; Lake_Towuti-75; Lake_Towuti-76; Lake_Towuti-77; Lake_Towuti-78; Lake_Towuti-79; Lake_Towuti-80; Lake_Towuti-81; Lake_Towuti-82; Lake_Towuti-83; Lake_Towuti-84; Lake Towuti; Latitude of event; Longitude of event; Magnesium; Manganese; modern sedimentation; Nickel; Potassium; provenance analysis; Redox conditions; Silicon; Sodium; Station label; Titanium; tropical lake; X-ray fluorescence (XRF)
    Type: Dataset
    Format: text/tab-separated-values, 1324 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2023-06-27
    Description: For granulometric, geochemical and mineralogical analyses, approximately 25 ml of each surface sample was frozen for 24 hours and subsequently lyophilized using a Christ BETA 1-8 LDplus (Martin Christ Gefriertrocknungsanlagen GmbH, Osterode am Harz, Germany). The freeze-dried samples were homogenized and split into two aliquots. The other aliquot of the freeze-dried surface samples was ground to 〈63 µm with a Planetary Mill Pulverisette 5 (FRITSCH GmbH, Idar-Oberstein, Germany) and used for mineralogical and geochemical analyses. Total organic carbon (TOC) as well as total carbon (TC), total nitrogen (TN) and total sulfur (TS) were measured with a vario MICRO cube and vario EL cube combustion elemental analyzers (Elementar Analysesysteme Corp., Langensebold, Germany), respectively. For the TOC measurements, 15 mg of sediment powder was placed into metallic silver containers, heated to 100 to 120°C, and treated three times with a few drops of HCl (32 %) to dissolve carbonates. The metallic silver containers were then wrapped and pressed into silver paper, and the resulting pellets were analyzed for their TOC concentration using the vario EL cube. All concentrations are given as mean values of duplicate measurements. For TC, TN and TS measurements with the vario MICRO cube, 10 mg of sediment powder was placed in zinc containers, with 20 mg of tungsten (VI) oxide (WO2) added to catalyze oxidation. The total inorganic carbon (TIC) was calculated as the difference between TC and TOC. Analytical errors were determined on internal and external reference material. The C/N ratio is calculated as the weight ratio of TOC and TN. The carbon isotopic composition of bulk OM (δ13COM) in the sediment was measured on a set of 42 subsamples at Brown University, Providence, RI, USA. For that purpose, ca 50 mg of sediment was acidified in HCl (2 N) for one hour at 80ºC to remove carbonate minerals. The acid-treated samples were subsequently rinsed in deionized water and centrifuged four times to remove any excess HCl. The samples were then freeze-dried and homogenized prior to isotopic analysis. The δ13COM values were measured using a Carlo Erba Elemental Analyzer coupled to a Thermo DeltaV Plus isotope ratio mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA). The analytical precision determined through replicate measurements of internal sediment standards was 0.16 ‰. All results are reported relative to the Vienna PeeDee Belemnite (VPDB) standard.
    Keywords: Carbon; Carbon, inorganic, total; Carbon, organic, total; Carbon/Nitrogen ratio; Carbon/sulfur ratio; Depth, bathymetric; DEPTH, sediment/rock; Elementar Vario Micro Cube and Dimatoc; Event label; Indo-Pacific Warm Pool (IPWP); Lake_Towuti-01; Lake_Towuti-02; Lake_Towuti-03; Lake_Towuti-04; Lake_Towuti-05; Lake_Towuti-06; Lake_Towuti-07; Lake_Towuti-08; Lake_Towuti-09; Lake_Towuti-10; Lake_Towuti-11; Lake_Towuti-12; Lake_Towuti-13; Lake_Towuti-14; Lake_Towuti-15; Lake_Towuti-16; Lake_Towuti-17; Lake_Towuti-18; Lake_Towuti-19; Lake_Towuti-20; Lake_Towuti-21; Lake_Towuti-22; Lake_Towuti-23; Lake_Towuti-24; Lake_Towuti-25; Lake_Towuti-26; Lake_Towuti-27; Lake_Towuti-28; Lake_Towuti-29; Lake_Towuti-30; Lake_Towuti-31; Lake_Towuti-32; Lake_Towuti-33; Lake_Towuti-34; Lake_Towuti-35; Lake_Towuti-36; Lake_Towuti-37; Lake_Towuti-38; Lake_Towuti-39; Lake_Towuti-40; Lake_Towuti-41; Lake_Towuti-42; Lake_Towuti-43; Lake_Towuti-44; Lake_Towuti-45; Lake_Towuti-46; Lake_Towuti-47; Lake_Towuti-48; Lake_Towuti-49; Lake_Towuti-50; Lake_Towuti-51; Lake_Towuti-52; Lake_Towuti-53; Lake_Towuti-54; Lake_Towuti-55; Lake_Towuti-56; Lake_Towuti-57; Lake_Towuti-58; Lake_Towuti-59; Lake_Towuti-60; Lake_Towuti-61; Lake_Towuti-62; Lake_Towuti-63; Lake_Towuti-64; Lake_Towuti-65; Lake_Towuti-66; Lake_Towuti-67; Lake_Towuti-68; Lake_Towuti-69; Lake_Towuti-70; Lake_Towuti-71; Lake_Towuti-72; Lake_Towuti-73; Lake_Towuti-74; Lake_Towuti-75; Lake_Towuti-76; Lake_Towuti-77; Lake_Towuti-78; Lake_Towuti-79; Lake_Towuti-80; Lake_Towuti-81; Lake_Towuti-82; Lake_Towuti-83; Lake_Towuti-84; Lake Towuti; Latitude of event; Longitude of event; modern sedimentation; Nitrogen; provenance analysis; Redox conditions; Station label; Sulfur, total; tropical lake; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 792 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2023-06-27
    Description: At the University of Cologne, Germany, a subsample was taken from one aliquot and used to produce smear slides for identification of sedimentary components using transmitted light microscopy. On selected samples, sponge spicules and diatom frustules were additionally investigated using a Zeiss Gemini Sigma 300VP scanning electron microscope (SEM; Carl Zeiss AG, Oberkochen, Germany). Furthermore, some magnetic mineral grains were identified with energy dispersive X-ray spectroscopy (EDX) of the Sigma SEM system. Based on smear slide analyses, a set of 40 samples that contain sponge spicules, diatoms and/or tephra particles were selected for automated, non-destructive particle image analyses using a dynamic imaging system (Benchtop B3 Series VS FlowCAM®; Fluid Imaging Technologies, Inc., Scarborough, ME, USA) to quantify the abundance of these particles. Aliquots of wet bulk samples were treated with hydrogen peroxide (H2O2; 30%) for seven days at room temperature to remove organic matter (OM) and disaggregate the siliceous biogenic particles, and were subsequently sieved with 25 and 80 µm meshes. The pre-treated sample fractions were diluted with deionized water (samples 〈25 µm) or polyvinyl pyrrolidone (PVP, 2 %; samples 25 to 80 µm and 〉80 µm). Particle recording in the 〈25 µm and 25 to 80 µm fractions was carried out using a 100 µm flowcell, a 10x objective lens with a collimator, and a 1 ml syringe-pump (flow rate 0.3 ml/min), whereas the 〉80 µm fraction was recorded using a 300 µm flowcell, a 4x objective lens without collimator, and a 5 ml syringe-pump (flow rate 0.6 ml/min). Data were acquired using the software VisualSpreadsheet (Fluid Imaging Technologies, Inc., Scarborough, ME, USA) until 10.000 images were recorded or 30 ml of the sample was investigated. An automated catalogue based on training sets developed for sponge spicules, diatoms and tephra particles was compiled to differentiate and group components with comparable characteristics in the measured sample fractions.
    Keywords: Benchtop B3 Series VS FlowCAM; Depth, bathymetric; DEPTH, sediment/rock; Event label; Indo-Pacific Warm Pool (IPWP); Lake_Towuti-01; Lake_Towuti-02; Lake_Towuti-03; Lake_Towuti-04; Lake_Towuti-05; Lake_Towuti-06; Lake_Towuti-07; Lake_Towuti-08; Lake_Towuti-09; Lake_Towuti-10; Lake_Towuti-11; Lake_Towuti-12; Lake_Towuti-13; Lake_Towuti-14; Lake_Towuti-15; Lake_Towuti-16; Lake_Towuti-17; Lake_Towuti-18; Lake_Towuti-19; Lake_Towuti-20; Lake_Towuti-21; Lake_Towuti-22; Lake_Towuti-23; Lake_Towuti-24; Lake_Towuti-25; Lake_Towuti-26; Lake_Towuti-27; Lake_Towuti-28; Lake_Towuti-29; Lake_Towuti-30; Lake_Towuti-31; Lake_Towuti-32; Lake_Towuti-33; Lake_Towuti-34; Lake_Towuti-35; Lake_Towuti-36; Lake_Towuti-37; Lake_Towuti-38; Lake_Towuti-39; Lake_Towuti-40; Lake_Towuti-41; Lake_Towuti-42; Lake_Towuti-43; Lake_Towuti-44; Lake_Towuti-45; Lake_Towuti-46; Lake_Towuti-47; Lake_Towuti-48; Lake_Towuti-49; Lake_Towuti-50; Lake_Towuti-51; Lake_Towuti-52; Lake_Towuti-53; Lake_Towuti-54; Lake_Towuti-55; Lake_Towuti-56; Lake_Towuti-57; Lake_Towuti-58; Lake_Towuti-59; Lake_Towuti-60; Lake_Towuti-61; Lake_Towuti-62; Lake_Towuti-63; Lake_Towuti-64; Lake_Towuti-65; Lake_Towuti-66; Lake_Towuti-67; Lake_Towuti-68; Lake_Towuti-69; Lake_Towuti-70; Lake_Towuti-71; Lake_Towuti-72; Lake_Towuti-73; Lake_Towuti-74; Lake_Towuti-75; Lake_Towuti-76; Lake_Towuti-77; Lake_Towuti-78; Lake_Towuti-79; Lake_Towuti-80; Lake_Towuti-81; Lake_Towuti-82; Lake_Towuti-83; Lake_Towuti-84; Lake Towuti; Latitude of event; Longitude of event; modern sedimentation; Particles; provenance analysis; Redox conditions; Station label; tropical lake
    Type: Dataset
    Format: text/tab-separated-values, 288 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2023-06-27
    Description: For granulometric, geochemical and mineralogical analyses, approximately 25 ml of each surface sample was frozen for 24 hours and subsequently lyophilized using a Christ BETA 1-8 LDplus (Martin Christ Gefriertrocknungsanlagen GmbH, Osterode am Harz, Germany). The freeze-dried samples were homogenized and split into two aliquots. The other aliquot of the freeze-dried surface samples was ground to 〈63 µm with a Planetary Mill Pulverisette 5 (FRITSCH GmbH, Idar-Oberstein, Germany) and used for mineralogical and geochemical analyses. The bulk mineralogy was determined on powder samples using an X-ray diffractometer (D8 Discover; Bruker, Billerica, MA, USA) with a Cu X-ray tube (λ = 1.5418 Å, 40 kV, 30 mA) and a LYNXE XE detector (opening angle = 2.9464°). The spectrum from 3° to 100° 2-theta was measured in 0.02° steps at 1 second exposure time. Mineral identification was carried out using the software packages SEARCH (Stoe and Cie GmbH, Darmstadt, Germany) and Match! (Crystal Impact 2014, Bonn, Germany), supported by the data base pdf2 (ICDD 2003, Newton Square, PA, USA). The concentration of the minerals was evaluated using the program TOPAS Rietveld (Coelho Software, Brisbane, Australia), which yields a standard deviation of analyzed minerals varying from +/- 2 % (for quartz) to +/- 5 to 10 % (for feldspars and clay minerals; Środoń et al., 2001; Vogt et al., 2002). For the clay mineral group illite the error range can be even higher (Scott 1983). Given these uncertainties, a detection limit of 5 % is considered in the discussion of the mineralogical composition of the surface sediments.
    Keywords: Chlorite; Depth, bathymetric; DEPTH, sediment/rock; Event label; Goethite; Hornblende; Illite; Indo-Pacific Warm Pool (IPWP); Kaolinite; Lake_Towuti-01; Lake_Towuti-02; Lake_Towuti-03; Lake_Towuti-04; Lake_Towuti-05; Lake_Towuti-06; Lake_Towuti-07; Lake_Towuti-08; Lake_Towuti-09; Lake_Towuti-10; Lake_Towuti-11; Lake_Towuti-12; Lake_Towuti-13; Lake_Towuti-14; Lake_Towuti-15; Lake_Towuti-16; Lake_Towuti-17; Lake_Towuti-18; Lake_Towuti-19; Lake_Towuti-20; Lake_Towuti-21; Lake_Towuti-22; Lake_Towuti-23; Lake_Towuti-24; Lake_Towuti-25; Lake_Towuti-26; Lake_Towuti-27; Lake_Towuti-28; Lake_Towuti-29; Lake_Towuti-30; Lake_Towuti-31; Lake_Towuti-32; Lake_Towuti-33; Lake_Towuti-34; Lake_Towuti-35; Lake_Towuti-36; Lake_Towuti-37; Lake_Towuti-38; Lake_Towuti-39; Lake_Towuti-40; Lake_Towuti-41; Lake_Towuti-42; Lake_Towuti-43; Lake_Towuti-44; Lake_Towuti-45; Lake_Towuti-46; Lake_Towuti-47; Lake_Towuti-48; Lake_Towuti-49; Lake_Towuti-50; Lake_Towuti-51; Lake_Towuti-52; Lake_Towuti-53; Lake_Towuti-54; Lake_Towuti-55; Lake_Towuti-56; Lake_Towuti-57; Lake_Towuti-58; Lake_Towuti-59; Lake_Towuti-60; Lake_Towuti-61; Lake_Towuti-62; Lake_Towuti-63; Lake_Towuti-64; Lake_Towuti-65; Lake_Towuti-66; Lake_Towuti-67; Lake_Towuti-68; Lake_Towuti-69; Lake_Towuti-70; Lake_Towuti-71; Lake_Towuti-72; Lake_Towuti-73; Lake_Towuti-74; Lake_Towuti-75; Lake_Towuti-76; Lake_Towuti-77; Lake_Towuti-78; Lake_Towuti-79; Lake_Towuti-80; Lake_Towuti-81; Lake_Towuti-82; Lake_Towuti-83; Lake_Towuti-84; Lake Towuti; Latitude of event; Longitude of event; Minerals, other; modern sedimentation; provenance analysis; Quartz; Redox conditions; Serpentine; Station label; TOPAS minaeral analyses (Rietveld); Tremolite; tropical lake; Vermiculite
    Type: Dataset
    Format: text/tab-separated-values, 997 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...