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22,549 results for “AND LTER”
SBC LTER: Reef: Seasonal Kelp Forest Community Dynamics: Taxon-specific seasonal net primary production (NPP) for macroalgae
This dataset provides estimates of seasonal net primary production (NPP) for all taxa of macroalgae sampled in fixed plots of the SBC LTER's seasonal kelp forest monitoring sites. The five reefs (Arroyo Quemada 34°28.048’N, 120°07.031’W; Carpinteria 34°23.474’N, 119°32.510’W; Isla Vista 34°23.275’N, 119°32.792’W; Mohawk 34°23.649’N, 119°43.762’W; and Naples 34° 25.342’N, 119° 57.102’W) ranged in depth from 5.8 m to 8.9 m (MLLW) and were chosen to represent a range of physical and biological characteristics known to influence subtidal macroalgal assemblages in the region. NPP of understory taxa was calculated using field measurements of irradiance and biomass (derived from abundance) and laboratory estimates of taxon-specific photosynthetic parameters. NPP for the giant kelp, Macrocystis pyrifera, was calculated using linear relationships between frond density in a given season and average NPP for that season.
SBC LTER: Hourly photon irradiance at the surface and seafloor, ongoing since 2008
These data represent mean hourly values of photosynthetically active radiation (PAR) (in units of mol m-2 s-1) at five subtidal reefs and one coastal location off Santa Barbara, California. Sensors record instantaneous irradiance at one-minute or 30 second intervals, and data are averaged hourly. Sensors are mounted on the sea floor at five sites (Arroyo Quemado, Carpinteria, Naples Reef, Isla Vista, and Mohawk Reef). A surface sensor is deployed on an unobstructed coastal rooftop at the UC Santa Barbara campus; some historical observations are available from sensors mounted above the sea surface at a subset of the five sites.
SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000
These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest sites in the Santa Barbara Channel (2-8 transects per site). Abundance is measured annually (as percent cover or density, by size) and converted to biomass (i.e., wet mass, dry mass, decalcified dry mass, ash free dry mass) using published taxon-specific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. See Methods for more information.
SBC LTER: Reef: Long-term experiment: Taxon-specific seasonal net primary production (NPP) for macroalgae
This dataset provides estimates of seasonal net primary production (NPP) for all taxa of macroalgae sampled in fixed plots of the SBC LTER's long-term kelp removal experiment sites. The experiment was initiated in 2008 at 4 sites; a fifth site as added in 2011. Data collection is ongoing. NPP of understory taxa was calculated using field measurements of irradiance and biomass (derived from abundance) and laboratory estimates of taxon-specific photosynthetic parameters. NPP for the giant kelp, Macrocystis pyrifera, was calculated using linear relationships between frond density in a given season and average NPP for that season.
SBC LTER: Ocean: Time-series: nearshore calibrated pH and temperature outside of reefs, ongoing since 2011
Calibrated pH (Total scale, SeaFET sensor) data was collected from 10 reefs in the Santa Barbara Channel along with in situ temperature. Most pH sensors are deployed together with SBC long-term mooring instruments. Data collection intervals and SeaFET sensor depths vary based on the site location.
SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, since 1984 (ongoing)
This data file represents a time series of canopy area of giant kelp, Macrocystis pyrifera, and bull kelp, Nereocystis luetkeana, and canopy biomass of giant kelp derived from Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land Imager (OLI), and Landsat 9 Operational Land Imager 2 satellite imagery, along with relevant metadata. The kelp canopy is composed of the portions of fronds and stipes floating on the surface of the water. Canopy area (m) data are given for individual 30 x 30 meter pixels for all coastal areas of Baja California, Mexico, California, Oregon, and the outer coast of Washington (including offshore islands). Biomass data (wet weight, kg) are given for individual 30 x 30 meter pixels in the coastal areas extending from near Ano Nuevo, CA through the southern range limit in Baja California (including offshore islands), representing the range where giant kelp is the dominant canopy forming species. Data were derived from the three Landsat sensors listed above. Observations are made on a 16 day repeat cycle, for each instrument, but the temporal coverage is irregular because of cloud cover, instrument failure, and the mission length of each sensor (TM: 1984 – 2011, ETM+: 1999 – present, OLI: 2013 – present). Estimates of canopy area are derived from the fractional cover of kelp canopy determined from satellite surface reflectance. Estimates of kelp canopy biomass are derived from the relationship between giant kelp fractional cover determined from satellite surface reflectance and empirical measurements of giant kelp canopy biomass in long-term SBC LTER study plots obtained using SCUBA. The different Landsat sensors were calibrated to each other using simulated Landsat data derived from hyperspectral imagery. Missing data due to the ETM+ scan line corrector error were filled using a synchrony-based gap filling method. Data are organized into a single NetCDF file and contain the quarterly area and
Hourly Meteorological Data for the Virginia Coast Reserve LTER 1989-present
Data from VCR/LTER meteorological stations is listed in comma-separated-value (CSV) files by year. A combined file for all years is also available, sorted by station, date and time, however, unlike the annual files, this combined file is too large for most spreadsheets to handle. A compressed copy of all the .CSV files is included in a single .ZIP file for users who wish to conveniently download a copy of all the data.
Gap-filled Meteorological Data for the Virginia Coast Reserve LTER - 1989-2022
This is a gap-filled dataset of the VCR-LTER meteorological sensor data on a daily level. It includes the csv of the generated data, as well as the R script used to generate it.
LTER-Italy site Lake Iseo figure
<p>Geographical representation of the LTER-Italy site Lake Iseo (LTER_EU_IT_102) - DEIMS-ID <a href="https://deims.org/0667dab1-f857-45a1-b01b-4261e6a499bd">https://deims.org/0667dab1-f857-45a1-b01b-4261e6a499bd</a></p>
LTER-Italy site Saldur River Catchment figure
<p>Geographical representation of the LTER-Italy site Saldur River Catchment (LTER_EU_IT_099) - DEIMS-ID <a href="https://deims.org/97ff6180-e5d1-45f2-a559-8a7872eb26b1">https://deims.org/97ff6180-e5d1-45f2-a559-8a7872eb26b1</a></p>
LTER-Italy site Mar Piccolo of Taranto figure
<p>Geographical representation of the LTER-Italy site Mar Piccolo of Taranto (LTER_EU_IT_095) - DEIMS-ID <a href="https://deims.org/ede24c6e-9cf2-4cf8-8bf7-36ba327403b4">https://deims.org/ede24c6e-9cf2-4cf8-8bf7-36ba327403b4</a></p>
LTER-Italy site Lago Braies figure
<p>Geographical representation of the LTER-Italy site Lago Braies (LTER_EU_IT_092) - DEIMS-ID <a href="https://deims.org/c54a2c21-2079-400d-b169-5e2de8dfdf06">https://deims.org/c54a2c21-2079-400d-b169-5e2de8dfdf06</a></p>
LTER-Italy site Lago di Tovel figure
<p>Geographical representation of the LTER-Italy site Lago di Tovel (LTER_EU_IT_090) - DEIMS-ID <a href="https://deims.org/f3146959-ae18-4b4e-a9be-16634b0b530a">https://deims.org/f3146959-ae18-4b4e-a9be-16634b0b530a</a></p>
LTER-Italy site Lago Paione Superiore figure
<p>Geographical representation of the LTER-Italy site Lago Paione Superiore (LTER_EU_IT_089) - DEIMS-ID <a href="https://deims.org/7e5837a9-ee27-4e27-822a-f50e5217c313">https://deims.org/7e5837a9-ee27-4e27-822a-f50e5217c313</a></p>
LTER-Italy site Lago Paione Inferiore figure
<p>Geographical representation of the LTER-Italy site Lago Paione Inferiore (LTER_EU_IT_088) - DEIMS-ID <a href="https://deims.org/c128d2f9-beb0-45ba-89bb-df9e12f95b0f">https://deims.org/c128d2f9-beb0-45ba-89bb-df9e12f95b0f</a></p>
LTER-Italy site Valbona figure
<p>Geographical representation of the LTER-Italy site Valbona (LTER_EU_IT_085) - DEIMS-ID <a href="https://deims.org/2b587e26-4550-4841-a032-ab3c93ced8a0">https://deims.org/2b587e26-4550-4841-a032-ab3c93ced8a0</a></p>
LTER-Italy site Monumento Naturale Torre Flavia (Roma) figure
<p>Geographical representation of the LTER-Italy site Monumento Naturale Torre Flavia (Roma) (LTER_EU_IT_083) - DEIMS-ID <a href="https://deims.org/e618c7ca-2b92-46cb-9156-d87336c5a81f">https://deims.org/e618c7ca-2b92-46cb-9156-d87336c5a81f</a></p>
LTER-Italy site Foce Trigno-Marina di Petacciato (Campobasso) figure
<p>Geographical representation of the LTER-Italy site Foce Trigno-Marina di Petacciato (Campobasso) (LTER_EU_IT_081) - DEIMS-ID <a href="https://deims.org/1835cda2-b56d-400a-b413-ab5c74086dc5">https://deims.org/1835cda2-b56d-400a-b413-ab5c74086dc5</a></p>
LTER-Italy site Foce Saccione-Bonifica Ramitelli (Campobasso) figure
<p>Geographical representation of the LTER-Italy site Foce Saccione-Bonifica Ramitelli (Campobasso) (LTER_EU_IT_080) - DEIMS-ID <a href="https://deims.org/088fe3af-c5bb-4cc8-b479-fe1ea6d5be80">https://deims.org/088fe3af-c5bb-4cc8-b479-fe1ea6d5be80</a></p>
LTER-Italy site Saldur river figure
<p>Geographical representation of the LTER-Italy site Saldur river (LTER_EU_IT_100) - DEIMS-ID <a href="https://deims.org/7f479263-8f0b-447e-a33d-e08723c86184">https://deims.org/7f479263-8f0b-447e-a33d-e08723c86184</a></p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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