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34 results for “2012-2015”
Records of moored SeaFET pH, SeaBird CTD and oxygen at Anacapa, Santa Cruz and San Miguel Islands, California from 2012-2015
Data are pH (total scale, SeaFET), salinity, conductivity, temperature, depth (Seabird 37 CTD) and Oxygen (MicroCAT C-T-ODO) from instruments moored at three sites along the north shores of the northern Santa Barbara Channel Islands, California, USA. At Anacapa Island (ALC), in a marine reserve with kelp forest habitat; at Santa Cruz Island (PRZ), surrounded by a large shallow eelgrass bed (Zostera pacifica); and at San Miguel Island (SMN), in open water over a sandy bottom. pH sensors were deployed at all three sites in 2012, with CTD and Oxyten senosrs added to moorings at ALC and PRZ in May 2013. Benchmark samples for SeaFET sensors calibration were collected 1 to 8 times during each 2 - 3 month deployment via SCUBA, free diving or from a pier with a GO-FLOW (General Oceanics) bottle (see methods). Oxygen data were validated by Winkler titations, with concentrations reported in various units and as saturation. Data are presented in: Kapsenberg, L. and G. E. Hofmann 2016. Ocean pH time-series and drivers of variability along the northern Channel Islands, California, USA. Limnology and Oceanography. 61: 953-968. DOI: 101002/lno.10264.
MCR LTER: North Shore Moored pH sensors, SeaFET 2012-2015 and SAMI 2015-ongoing
This dataset contains only the sensor data and only from the forereef mooring on the north shore. Full carbonate chemistry data derived from water samples where available are in a separate dataset. Sensor data from other locations are in a separate dataset. Near continuous measurements of seawater pH are made at two locations on the north shore of Moorea. On the fore reef, instruments are attached to a mooring cable at 10-m depth at LTER0. On the back reef, instruments are bottom-mounted at a location approximately 400 m landward of the reef crest at LTER0, such that pH of the same water mass is measured at both locations as water moves onto the reef crest and across the back reef (Hench et al. 2008). One SeaFET instrument and one SAMIpH instrument are deployed at each location. Measurements of pH by the SeaFETs are made every 30 minutes; pH measurements by the SAMIs are made every hour. SeaFET data (on the total pH scale) are output using both a constant salinity value (35 PSU) and using salinities measured in situ, if available. SeaFETs are calibrated using independent measures of pH from water samples taken adjacent to the instruments prior, during, and after deployment (using the m-cresol purple method). SAMIs are returned to the manufacturer each year for calibration. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2019). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Murgia Alta: grassland change map (2012-2015).
<p>Murgia Alta: grassland change map (2012-2015).</p> <p>A change map for the land cover class "GRASSLAND" in "Murgia Alta" PA, obtained by the Cross Correlation Analysis algorithm (CCA) [1,2] considering at time T1 the layer "GRASSLAND" from COPERNICUS Service VHR layer dated 2012 and at time T2 a Sentinel-2A image dated August 7th, 2015.</p> <p>The map was produced at 20 meters spatial resolution and projected in WGS84/UTM33N.</p> <p>The map has binary values where value 1 indicates pixels changed from GRASSLAND to other whereas value 0 indicates No changed/Not considered pixels.</p> <p>The Overall Accuracy (OA) of the map was: OA=94.21%±0.10%.</p> <p>[1] Koeln, G., & Bissonnette, J. (2000). Cross-correlation analysis: Mapping landcover changes with a historic landcover database and a recent, single-date, multispectral image. Proc. 2000 ASPRS Annual Convention, Washington, D.C. (8 pp.).</p> <p>[2] C. Tarantino, M. Adamo, R. Lucas, P. Blonda. (2016). “Detection of changes in semi-natural grasslands by cross correlation analysis with Worldview-2 images and new Landsat 8 data”, <em>Remote Sensing of Environment</em>, Vol. 175C, pp. 65-72, doi: 10.1016/j.rse.2015.12.031, ISSN 0034-4257</p>
Dataset 1 of 8: Daily nitrogen dioxide concentrations in California (2012-2015) (CARB 19RD004)
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Dataset 7 of 8: Ozone (O3) concentrations in California (2012-2015) (CARB 19RD004)
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Nitrogen Fixation Responses in Sphagnum fuscum to N-Additions to an Alberta Peatland, 2012-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. Bogs, being ombrotrophic, may be especially susceptible to increasing N deposition. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a bog near Mariana Lakes, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). We measured N2-fixation using the acetylene reduction technique between 2012 and 2015. All measurements were made between June and August. Mean acetylene reduction rates ranged from 2.2 mg m-2 da-1 (late June 2012) to 12.3 mg m-2 da-1 (late July 2014). Averaged across all measurement dates, rates were highest in the 5 kg N ha-1 yr-1 treatment, and decreased with increasing N loading. The acetylene reduction/N2 fixation response to N addition was described by a segmented linear regression, with rates increasing as N addition increased to 3.1 ± 1.5 kg N ha-1 yr-1 and decreasing with further increases in N addition. Water addition alone had no significant effect on N fixation rates on any of the measurement dates (p >= 0.79). While increasing N deposition may not substantively change total inputs of new N to bogs, the form on new N inputs shifts to inorganic N in deposition, rather than organic N produced by the microorganisms that are fixing N2.
Nitrogen Fixation Responses in Sphagnum Mosses to N-Additions to an Alberta Poor Fen, 2012-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a poor fen near Mariana Lake, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). Between June and August of each year, we measured N2-fixation using the acetylene reduction technique between 2012 and 2015Averaged across all measurement dates, whether described by a linear or segmented regression, N2-fixation rates decreased with increasing N addition. N2-fixation rates were not different between the water addition only treatments and the control treatments (p = 0.44). While increasing N deposition may not substantively change total inputs of new N to bogs, the form of new N inputs shifts to inorganic N in deposition, rather than organic N produced by the microorganisms that are fixing N2.
Cellulose, Peat, and Mixed Vegetation in situ Decomposition in a Fen Exposed to Increasing Nitrogen Treatments, 2012-2015
Development of the oil sands has led to increasing atmospheric N deposition, with values as high as 17 kg N ha-1 yr-1; regional background levels <2 kg N ha-1 yr-1. To examine responses to N deposition, over five years, we experimentally applied N (as NH4NO3) to a fen near Mariana Lake, Alberta, at rates of 0, 5, 10, 15, 20, and 25 kg N ha-1 yr-1, plus controls (no water or N addition). We examined the effects of N addition on cellulose, peat, and mixed vegetation placed in the fen from 2012-2015 and collected after 5 and 17 months. Decomposition of cellulose filter paper increased with increasing N addition; the slopes of the responses did not differ between years, although decomposition was faster for filter paper placed in the field in 2014 than in either 2012 or 2013. In contrast, decomposition of Sphagnum moss was unaffected by N addition. Vascular plant litter decomposition decreased with N addition in 2015, but not 2014, Water addition alone had no significant effect on cellulose decomposition k values in any of the three years (p > 0.26) or on vascular plant litter mass in either year (p = 0.81). However, Sphagnum mass loss was significantly higher in the control treatment than in 0 kg N ha-1 yr-1 treatment (p = 0.0046) averaged over the two years of decomposition. Assessment of decomposition and its controls may be especially important in peatlands, as the development and persistence of peat depends on an excess of NPP over decomposition throughout the peat profile. There is evidence that increasing N deposition/availability stimulates cellulose decomposition in surface fen peat, as we found previously at Mariana Lake Bog, however, bog material decomposition appears to be more complicated.
American Residential Macrosystems - Lawn plant data within residential yards in seven major metropolitan areas, 2012-2015
"In seven major U.S. metropolitan cities (Boston, Baltimore, Los Angeles, Miami, Minneapolis/St. Paul, Salt Lake City, and Phoenix), 1m2 plots were sampled in residential front and backyards, as well as nearby natural areas, in order to evaluate the plant community composition, diversity, and percent cover of plant species. In addition, in Los Angeles and Salt Lake City, full yard plant communities were also sampled for a plant community of the entire yard. "
Figures for "California forest die-off linked to multi-year deep soil drying in 2012-2015 drought"
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AirMOSS: L4 Modeled Volumetric Root Zone Soil Moisture, 2012-2015
This data set provides hourly gridded soil moisture estimates derived from hydrologic modeling at nine AirMOSS sites across North America. The AirMOSS L4 RZSM product represents a temporal interpolation of intermittent AirMOSS L2/3 RZSM retrievals into a temporally-continuous, multi-layer, hourly soil moisture product. The L4 RZSM data have the same spatial resolution (3-arcsecs or ~100 m), and the same temporal coverage (generally Fall 2012 through Fall 2015), as the underlying L2/3 RZSM data. The L4 RZSM data were produced by the integration of the Level 2/3 product and other ancillary information into the Penn State Integrated Hydrologic Model (PIHM). Many key applications for AirMOSS data products, including the calculation of net ecosystem exchange (NEE), require temporally continuous RZSM estimates such as those provided here.
AirMOSS: L2/3 Volumetric Soil Moisture Profiles Derived From Radar, 2012-2015
This data set provides level 2/3 root zone soil moisture (RZSM) estimates at multiple depths at 90-m spatial resolution from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over ten sites across North America. AirMOSS produces estimates of RZSM with data from a P-band synthetic aperture radar (SAR) flown on a NASA Gulfstream-III aircraft. The resulting soil moisture estimates capture the effects of gradients of soil, topography, and vegetation heterogeneity over an area of approximately 100km x 25km at each of the study sites. AirMOSS flight campaigns took place at least biannually from 2012 to 2015 at each site.
AirMOSS: L1 S-0 Polarimetric Data from AirMOSS P-band SAR, BERMS, Canada, 2012-2015
This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the BERMS (Boreal Ecosystem Research and Monitoring Sites), in Saskatchewan, Canada. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.
AirMOSS: L1 S-0 Polarimetric Data from AirMOSS P-band SAR, Howland Forest, 2012-2015
This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Howland Forest site in Maine. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.
CARVE: In-flight Videos from the CARVE Aircraft, Alaska, 2012-2015
This dataset contains videos captured by a camera mounted on the CARVE aircraft during airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content.
CARVE: L2 Atmospheric Gas Concentrations, Airborne Flasks, Alaska, 2012-2015
This data set provides atmospheric carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), molecular hydrogen (H2), nitrous oxide (N2O), sulfur hexafluoride (SF6), and other trace gas mole fractions (i.e. "concentrations") from airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The CARVE flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas abundances. The data were derived from laboratory measurements of whole air samples collected by a Programmable Flask Package (PFP) onboard the CARVE aircraft. Air samples were collected at strategic intervals to coincide with the overflight of a ground site of interest, or when interesting geophysical conditions were encountered. While most of these samples were collected near the surface in the planetary boundary layer (PBL), on almost every flight samples were also collected in the free troposphere. A minimum of 12 flask samples were collected per flight. Whole air samples collected in the PFPs were analyzed on automated systems at the NOAA Earth System Research Laboratory (ESRL) Global Monitoring Division in Boulder, CO, which also analyzes samples from the NOAA/ESRL Global Greenhouse Gas Reference Network. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.
AirMOSS: L1 S-0 Polarimetric Data from AirMOSS P-band SAR, MOISST, 2012-2015
This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the MOISST site in Oklahoma. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.
CARVE: L1 Spectral Radiances from Airborne FTS, Alaska, 2012-2015
This data set contains Level 1 spectral radiance data collected using the Fourier Transform Spectrometer (FTS) during airborne campaigns over the Alaskan and Canadian Arctic for the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are crucial for understanding changes in Arctic carbon cycling and the potential threats posed by thawing of Arctic permafrost.
AirMOSS: L1 S-0 Polarimetric Data from AirMOSS P-band SAR, Walnut Gulch, 2012-2015
This data set provides level 1 (L1) polarimetric radar backscattering coefficient (sigma-0), multilook complex, polarimetrically calibrated, and georeferenced data products from the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) radar instrument collected over the Walnut Gulch site in Arizona. The AirMOSS radar is a P-band (UHF) fully polarimetric synthetic aperture radar (SAR) currently operating in the 420-440 MHz band designed to measure root-zone soil moisture (RZSM) and is flown on a NASA Gulfstream-III aircraft. Flight campaigns took place at least biannually from 2012 to 2015 at 10 study sites across North America. The acquired L1 P-band radar backscatter data will be used to retrieve the RZSM at the study sites. Subsequent analyses will investigate both seasonal and inter-annual variability in soil moisture and the relationships to carbon fluxes and their associated uncertainties on a continental scale.
CARVE: L1 Daily Flight Path Geolocation and Aircraft Position Data, Alaska, 2012-2015
This data set provides high-frequency geolocation, time, height, pitch, roll, and heading information for the C-23 Sherpa aircraft during airborne campaigns over the Alaskan and Canadian Arctic as part of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). The data were collected in situ using the Digital Air Data System (DADS) onboard the aircraft and are presented at 1-second intervals throughout each flight. Flight campaigns took place from 2012 to 2015 between the months of March and November to enable investigation of both seasonal and inter-annual variability in atmospheric gas content. The measurements included in this data set are useful for matching aircraft position with the scientific data collected by other CARVE airborne instruments.
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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.