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29 results for “relative biomass”
Fig. 8 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 8. Regression model functions between nematode length and feeding types/biomass along the Mekong estuary ECC nematode length L and percentage of feeding types 1B and 2B (a); nematode densities of individual biomass and total biomass (b).
Fig. 7. Regression functions between the length and ratio L in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 7. Regression functions between the length and ratio L/W with other characters (maturity index, feeding types) of nematodes at all stations. length L and genera richness S, maturity index MI (a); length L and percentage % of feeding type 1A and 2B (b); nematode width W with percentage of feeding type 2A (c); ratio L/W with the percentage of feeding type 2B (d).
Fig. 4 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 4. Nematode length (L) and width (W) at all mouth stations and along the Co Chien river estuary.
Fig. 3 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 3. Nitrite and nitrate concentrations (mean±SD; raw data multiplied by 10) and ammonium concentrations across a vertical sediment profile at the mouth of the Mekong delta (a), and along the Co Chien estuary (b).
Fig. 2 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 2. Chloroplastic Pigment Equivalents (mean CPE±SD; μg L−1) and chlorophyll a (mean±SD; μg L−1) at the mouth stations (a) and along the Co Chien estuary (b).
Fig. 1 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 1. Locations of sampling stations in the Co Chien estuary (ECC1 through ECC4) and at the mouth of Mekong Delta (from north to south, mouth stations ECT, ECD, EBL, EHL, ECH, EDA and ETD) in Vietnam.
DNA metabarcoding quantifies the relative biomass of arthropod taxa in songbird diets: Validation with camera‐recorded diets
<p class="MsoNormal"><span>Ecological research is often hampered by the inability to quantify animal diets. Diet composition can be tracked through DNA metabarcoding of faecal samples, but whether (complex) diets can be quantitatively determined with metabarcoding is still debated and needs validation using free-living animals. This study validates that DNA metabarcoding of faeces can retrieve actual ingested taxa, and most importantly, that read numbers retrieved from sequencing can also be used to quantify the relative biomass of dietary taxa. Validation was done with the hole-nesting insectivorous Pied Flycatcher whose diet was quantified using camera footage. Size-adjusted counts of food items delivered to nestlings were used as a proxy for provided biomass of prey orders and families and subsequently nestling faeces were assessed through DNA metabarcoding. To explore potential effects of digestion, gizzard and lower intestine samples of freshly collected birds were subjected to DNA metabarcoding. For metabarcoding with Cytochrome Oxidase subunit I (COI), we modified published invertebrate COI primers LCO1490 and HCO1777, which reduced host reads to 0.03%, and amplified Arachnida DNA without significant changing the recovery of other arthropod taxa. DNA metabarcoding retrieved all commonly camera-recorded taxa. Overall, and in each replicate year (N = 3), the relative scaled biomass of prey taxa and COI read numbers correlated at R = 0 .85 (95CI:0.68–0.94) at order level and at R = 0.75 (CI:0.67</span><span>–</span><span>0.82) at family level. Similarity in arthropod community composition between gizzard and intestines suggested limited digestive bias. This DNA metabarcoding validation demonstrates that quantitative analyses of arthropod diet is possible. We discuss the ecological applications for insectivorous birds.</span></p>
Dataset for: Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds
<p><span>These datasets include both the raw data and the model results from a project exploring causal relationships between climate and lake productivity of a diverse set of 24,452 US lakes over 34 years (1984-2008). <span>Climate change is expected to increase lake productivity and algal blooms and cause regime shifts, particularly in human-impacted ecosystems. First we assessed the potential for</span> nonlinear dynamics in summer median lake chlorophyll (CHL; derived from remote sensing) to demonstrate the potential for regime shifts in these lakes; second, we modeled the causal effects of climate on lake CHL over the 34 years. Climate was causally related to CHL in 34% of lakes; of those, 71% exhibited abrupt shifts, but only 13% had the potential for regime shifts. Climate-influenced lakes had low productivity at environmental extremes and experienced some directional climate change. Our synthesis of 24,452 time series demonstrates that effects of climate on lake productivity depend on recent climate change interacting with human impact and environmental context.</span></p>
Fig. 5 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 5. Frequency distribution of L/W ratios at the mouth stations (a) and Co Chien estuary (b).
Alamo x Kanlow genotypic and phenotypic data for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) crosses
<p>Switchgrass (<em>Panicum virgatum</em> L.) is a model herbaceous bioenergy crop in the USA. It is a native, perennial, warm-season grass, and has broad adaptability. Many breeding programs focus on the genetic improvement of switchgrass for increasing biomass yield. Significant genetic variation for biomass yield observed in lowland switchgrass hybrids. Due to the quantitative inheritance of biomass yield, varietal improvement for the trait through conventional breeding is slow. Therefore, quantitative trait loci (QTL) mapping is used to discover marker-trait associations and accelerate the breeding process through marker-assisted selection. To identify significant QTL, this study mapped seven biparental crosses and one combined cross of two biparental crosses (30 to 96 F1s) between lowland Alamo and Kanlow genotypes. The crosses were evaluated for biomass yield, plant height, and clonal mass scores in a simulated-sward plot with two replications at two locations in Tennessee from 2019 to 2021. The crosses were genotyped using 17,251 single nucleotide polymorphisms generated through genotyping-by-sequencing. QTL mapping was performed using a single-QTL model in R-QTL. The study identified major QTL for biomass yield, plant height, and clonal mass scores resided on chromosomes 7K, 4K, and 3K and had 0.47, 0.63, and 0.62 heritability, respectively.</p> <p>The dataset contains five files describing the phenotype and genotype of each individual used in the quantitative trait loci (QTL) analysis.</p> <ul> <li>'File 1' contains biomass yield, plant height, and clonal mass data for each genotype and parents evaluated at two locations in Tennessee; the Plateau Research and Education Center (PREC), Crossville and East Tennessee Research and Education Center (ETREC), Knoxville from 2019 to 2021. Plant height and biomass yield were measured at maturity, and clonal mass scores were evaluated after harvesting biomass.</li> <li>'File 2' has the genotype name, library, index, total reads, bases, and the Phred quality score (Q30). Young leaf tissue was collected from each F1 progeny and parent, and DNA was extracted using the cetyltrimethylammonium bromide (CTAB) procedure. The extracted DNA was genotyped at the USDA-ARS Western Regional Research Center laboratory in Albany, CA. Genotyping by sequencing (GBS) was performed on 951 lines (F1s and their parents) using the PstI-MspI GBS protocol. The quality of these sequences showed that 94.4% of the bases were at or above Q30. Reads were mapped to version 5.0 of the switchgrass reference genome. Single nucleotide polymorphism (SNP) calling was performed, and redundant markers were filtered out for linkage map construction. 'File 3' has SNP ID numbers, SNP locations on chromosomes, map positions, and SNP scores. The cross was used as a four-way cross for QTL analysis, where the male parent Kanlow (K) was assigned as '1', and the female parent Alamo (A) was assigned as '2'.</li> <li>The phased output data from the four-way cross, i.e., 11, 12, 21, and 22, were represented by AC, BC, AD, and BD, respectively ('File 3').</li> <li>The progeny file ('File 4') contains the name of the parents used for making crosses and their progenies.</li> <li>A consensus linkage map ('File 5') was produced with Lep-Map3 software. The linkage map contains 18 linkage groups associated with 18 switchgrass chromosomes, marker size (bp), map position (cM) based on male and female maps, and map order.</li> </ul>
Data from: Mangrove above-ground biomass and production are related to forest age at Low Isles, Great Barrier Reef
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Alamo x Kanlow genotypic and phenotypic data for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) crosses
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DNA metabarcoding quantifies the relative biomass of arthropod taxa in songbird diets: Validation with camera‐recorded diets
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Soil ammonium: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Soil nitrate: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant tissue nitrogen: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Root biomass data: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant biomass allocation: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant aboveground biomass data: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Datasets relating (i) A wetland fish multimetric index to variation in agricultural stress among Laurentian Great Lakes coastal wetlands, (ii) Cyanobacteria biomass to total phosphorus concentrations among Canadian lakes
<p>We present two datasets of biological responses against environmental stresses. In the first dataset, the biological response and environmental stress variables are fish multimetric index of community health and agricultural stress, respectively, in watersheds draining to Laurentian Great Lakes. In the second dataset, the biological response and environmental stress variables are cyanobacterial biomass and total phosphorus, respectively, in Canadian Lakes.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.