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16 results for “Meiobenthos”
Meiobenthos GeoEcoMar DOORS 2023
<p>The dataset contains the taxonomic and quantitative analysis of meiobenthic samples (free-living nematodes and harpacticoida groups), collected within the DOORS Leg 1 cruise carried out within 1-10 September 2023 in the framework of Horizon 2020 Project ‘Developing Optimal and Open Research Support for the Black Sea’ (DOORS). The samples have been collected with a Multiple Corer Mark II device. 3 out of the 6 samples that contain in their ID the word "inc" represent the incubated cores (for fluxes experiments), while the other 3 the "control" samples collected in the same station. The latter were washed through a 63 µm mesh sieve on board and preserved in buffered formaldehyde 4% for further laboratory analysis (Giere, 2009)</p>
Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/6/1. The abstract below was extracted from the Level 0 data package and is included for context: The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.
Figure 9 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 9. Share of nematodes in total meiobenthos obtained from samples at the A. Anoxic B. Suboxic C. Oxic sites off Sinop shores (southern Black Sea).
Figure 6 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 6. Share of main meiobenthic taxa along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (April 2010).
Figure 2 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 2. Trends in the abundance (103 ind.m-2) and richness (number of taxa) of meiobenthos along the studied depth gradient at the Black Sea exit of Bosphorus in April 2010.
Figure 8 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 8. Share of main meiobenthic taxa at the oxic, suboxic and anoxic sites off Sinop shores (southern Black Sea).
Figure 1 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 1. Trends in the abundance (103 ind.m-2) and richness (number of taxa) of meiobenthos along the studied depth gradient at the Black Sea exit of Bosphorus in November 2009 (in addition to Sergeeva et al. 2013, Sergeeva & Mazlumyan 2015).
Figure 3 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 3. Share of benthic protozoan taxa in total protozoa along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (November 2009).
Figure 4 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 4. Share of benthic protozoan taxa in total protozoans along the depth gradient at the oxic/anoxic interface of the Black Sea exit of Bosphorus (April 2010).
Figure 7 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 7. Trends in the abundance (103 ind.m-2) and richness (taxa number) of meiobenthos along the studied depth gradient at the oxic/anoxic interface off Sinop shores (southern Black Sea) in 2011 (in agreement with Ürkmez et al. 2015).
Figure 5 in Current views on the diversity and distribution of deep-water meiobenthos at the Turkish shelf (Black Sea)
Figure 5. Share of main meiobenthic taxa at the depth gradient along the oxic/anoxic interface at the Black Sea exit of Bosphorus (November 2009).
Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/350/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-nin/6/1. The abstract below was extracted from the Level 0 data package and is included for context: The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.
Data from: Comparison of rapid biodiversity assessment of meiobenthos using MALDI-TOF MS and metabarcoding
<p>Nowadays, most biodiversity assessments involving meiofauna are mainly carried out using very time-consuming, specimen-wise morphological identifications, which demands comprehensive taxonomic knowledge. Animals have to be examined for minor differences of setae compositions, mouthpart morphology or number of segments for various extremities. DNA-based methods such as metabarcoding as well as recently emerged rapid analyses using MALDI-TOF mass spectrometry to identify specimens based on a proteome fingerprint could vastly accelerate the process of specimen identification in biodiversity assessments. However, these techniques depend on reference libraries to connect collected data to morphologically described species. In this study the success rate of both approaches have been tested based on reference libraries constructed using part of the samples from a new study area to identify unknown samples. Using MALDI-TOF MS we found, that species which do not exist in an incomplete mass spectra reference library only have minor impact on the results, when employing a post hoc test for Random Forest classifications. This test reveals specimens that demand morphological re-examination for the final species assignment. Metabarcoding however strongly demands a rich reference library to provide correct MOTU assessments in congruence with morphological determination. Nevertheless, with a complete library and a suitable data transformation [herein log(x + 1)], the number of reads per MOTU reflects relative species abundances in metabarcoding inference. The results of this study facilitate specimen identification by using MALDI-TOF MS, which is incomparably cheap for specimen-by specimen identification, but when it comes to sample-wise analyses, metabarcoding outperforms other techniques by far.</p>
Data from: Comparison of rapid biodiversity assessment of meiobenthos using MALDI-TOF MS and metabarcoding
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FIGURE 1 in An annotated checklist of the main representatives of meiobenthos from inland water bodies of Central and Southern Vietnam. I. Roundworms (Nematoda)
FIGURE 1. The study region and schematic map of location of the studied water bodies. I–III – Đǻk Lǻk, Khánh Hòa and Đỗng Nai provinces, respectively. Numbers 1–71 represent the sites listed in the first column of the Table 1.
Meiobenthos abundance. Long-term variability and dynamics of estuarine meiobenthic populations for North Inlet Estuary, South Carolina, from 1972 to 1992, North Inlet LTER
The original purpose of this research was to determine if natural meiobenthic assemblages exhibited continuity over time and to monitor several physical variables to determine if these influenced long-term temporal patterns. The most recent study focused on variation and the relations of meiobenthos abundance with environmental factors over 11 years. Typically marine benthic community studies are limited temporally and the majority of previously published 'longterm' meiofauna results (all taxa) were based on about a year's duration.
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