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10 results for “Foodwebs”

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edi48/100

SBC LTER: Land Ocean Reef: Foodweb Stable Isotopes: Isotope data

Potentially important food sources to primary consumers on shallow subtidal reefs include phytoplankton-dominated seston, kelp-derived detritus, and for locations adjacent to sources of freshwater runoff, terrestrially-derived POM. The SBCLTER is using stable carbon and nitrogen isotope ratio analysis of monthly water, kelp tissue and samples consumers of varying trophic status to evaluate the relative contribution of these sources to reef food webs. SBCLTER research has focused on beginning to characterize variability in the isotope values of potential food sources (phytoplankton, kelp, and terrestrial POM). To investigate sources of variability in values of marine POM, including contributions from phytoplankton, we are collecting monthly water samples and filtering them for POM from on and offshore of the reef, at locations less likely to be influenced by inputs from kelp or terrestrial runoff and more likely to reflect a primarily phytoplankton source at the three core SBCLTER research sites (Arroyo Quemado, Naples, Carpinteria). To identify the range of variability of isotopic ratio in kelp tissue, we concurrently collect kelp tissue samples from the three core research sites. To identify food sources used by reef consumers under different conditions of runoff, ocean climate and kelp production we have begun sampling a variety of reef consumers chosen to represent different trophic levels. Tissue samples were collected in April 2002 from the same species of consumers at four reef sites (Carpinteria, Naples, Mohawk, Arroyo Quemada), which vary in their proximity to sources of runoff and in their standing stock of giant kelp. We have also collected sediment samples at fixed distances from the source of runoff at four research sites (Naples, Goleta Bay, Mohawk, Carpinteria). This information will be used to evaluate whether these isotopic values differ enough from one another to permit the use of mixing models to estimate the contribution of each source to the reef

openCC (other)Oct 2022View details →
edi44/100

Belowground foodweb biomass from moist acidic tundra and dry heath tundra nutrient addition and herbivore exclusion plots (since 1996) sampled Summer 2006

Biomass of belowground community groups (bacteria, fungi, protozoa, nematodes, rotifers, tardigrades) determined for organic soils in moist acidic tundra and dry heath tundra.

openOpenDec 2015View details →
edi44/100

Belowground foodweb biomass from moist acidic tundra nutrient addition and greenhouse plots (since 1989) sampled July 2008.

Biomass of belowground community groups (bacteria, fungi, protozoa, nematodes, rotifers, tardigrades) determined for organic and mineral soils in moist acidic tundra sampled in the moist acidic tundra nutient (N&P) addition and greenhouse plots in July 2008.

openOpenDec 2015View details →
edi44/100

Belowground foodweb biomass and soil CN and bulk density from moist acidic tundra nutrient addition plots (since 1989, 2006) sampled July 2011.

Biomass of belowground community groups (bacteria, fungi, protozoa, nematodes, rotifers, tardigrades) determined for organic and mineral soils in moist acidic tundra. Soil carbon and nitrogen content, bulk density, and depth are included.

openOpenDec 2015View details →
edi44/100

Belowground foodweb biomass from moist acidic tundra nutrient addition plots (since 1989, 1996, 2006) sampled June and August 2010.

Biomass of belowground community groups (bacteria, fungi, protozoa, nematodes, rotifers, tardigrades) determined for organic and mineral soils in moist acidic tundra.

openOpenDec 2015View details →
edi44/100

Belowground foodweb biomass and soil CN and bulk density from moist acidic tundra nutrient addition plots (since 2006) sampled August 2012.

Biomass of soil rotifers, tardigrades, enchytraeids, protozoa and nematode groups from organic and mineral soils in moist acidic tundra nutrient addition plots (since 2006) sampled August 2012.

openOpenDec 2015View details →
zenodo36/100

icons: foodweb

Open the record for dataset details and reuse information.

opennotspecifiedAug 2024View details →
edi32/100

Ohio Miami University reservoir water chemistry and foodweb data 1992-2010

This research examines how landscapes (watersheds) and food webs interact to regulate ecosystems, focusing on reservoirs of the Midwest USA. This research is collaborative with two other Miami faculty, María González and Bill Renwick, and many students. We are examining how watersheds and omnivorous fish influence lakes along a gradient of watershed land use, ranging from mostly forested watersheds to those that are nearly entirely agricultural. Data provided by Mike/Maria include dissolved nutrients, suspended sediments, DOC, temperature/oxygen profiles, and water clarity from 1992-2010 with frequency and duration of sampling varying among reservoirs. sampling was typically conducted at two sites: (a) a shallow ‘inflow’ cite at the upstream area of a reservoir where the inflowing lotic system is transitioning to a more lentic one, and a deeper ‘outflow’ site just upstream of the dam. Most samples for water chemistry analysis were collected with integrated samplers from the euphotic zone or epilimnion (which usually are the same for these lakes - Vanni comment). For most of our sampling (all the Acton sampling and other sampling done by MU), we measured the depth of the eophotic zone using a light meter (z_eup = depth where light = 1% of surface light). When the ODW collected samples, they did not have a light meter so we used the epilimnopn, which we defined as any depth where oxygen was > 2 mg/L. As I mentioned, because our lakes are pretty productive, oxygen concentrations are usually driven by phytoplankton production so the eiphotic and epilimnetic depths are the same. For some things, we take replicate integrated samples, and we run duplicates on both of those, for a total of 4 values. For example, for chlorophyll we take two samples (two bottles) and run duplicates on both and we label the samples 1a,1b,2a,2b. ….the data we sent you are always means of those values….’.

openCC (other)Jan 2020View details →
edi32/100

Intercompartmental trophic exchanges from an inverse plankton foodweb model for the north and south penguin foraging regions in the Palmer LTER study area, 1995 - 2006.

Plankton foodwebs can be represented by systems of biotic living and nonliving compartments linked by networks of intercompartmental trophic exchanges (“flows”). These include grazing, respiration, excretion, nutrient uptake and other physiological processes. Not all flows can be readily measured. The inverse model technique is used to provide objective estimates of unmeasured flows. This dataset includes complete model flows for representative plankton foodwebs in the north and south LTER study area and their associated uncertainties.

openCustomMar 2017View details →
dryad28/100

Data from: Indirect interactions shape selection in a multi-species foodweb

Open the record for dataset details and reuse information.

publicNov 2018View details →

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Allen Brain Atlas

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record