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42 results for “2016-2017”
Soil Microbial Community Effects on Quercus Rubra Seedling Survival at Harvard Forest 2016-2017
Feedbacks between plants and their soil microbial communities often drive negative density dependence in tropical forests, but their importance for tree demographics in temperate forests remains unclear. Additionally, the relative contribution of intraspecific seedling competition and soil pathogens to density-dependent patterns has rarely been assessed. We assessed how the soil microbial community influenced Quercus rubra seedling survival by growing seedlings in a greenhouse inoculated with soil collected from beneath conspecific and heterospecific mature trees. We found that seedlings grown with soil from beneath conspecific adults had a higher mortality rate than seedlings grown with soil from beneath heterospecific adults; therefore adult plant-soil feedbacks decrease seedling survival in Q. rubra.
Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations in the Indian and Pacific sectors of the Southern Ocean from the Antarctic Circumnavigation Expedition (2016-2017)
<p>Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations in the Indian and Pacific sectors of the Southern Ocean from the Antarctic Circumnavigation Expedition, 2016-2017.</p> <p>Dissolved trace metal (Fe, Ni, Cu, Zn, Cd, Pb) concentrations measured on seawater samples from the Southern Ocean. Samples were collected with a trace metal clean rosette system to a maximum depth of 1000 m during Legs 1 and 2 of the Antarctic Circumnavigation Expedition (ACE), 2016-2017. Samples were filtered through Akropak Supor filters (0.2 um) in a class 100 clean container, acidified to pH ≤ 2 and stored until analysis (>6 months). Samples from Leg 1 (TMR Casts 3-7) were collected during a transect from Cape Town, South Africa to Hobart, Australia. Samples from Leg 2 (TMR casts 8-20) were collected during a transect from Hobart, Australia to Punta Arenas, Chile. Data cover environments near subantarctic and Antarctic islands (TMR 3, 4, 13-15), in the Mertz Glacier Polynya (TMR 11-12) and near the Antarctic Peninsula (TMR 18), as well as meridional transects to and from the Antarctic continent (TMR 7-12, TMR 18-20).</p>
Fine-scale structure of the 2016-2017 Central Italy Seismic Sequence from data recorded at the Italian National Network
<p><strong>Data Set </strong></p> <p>Catalog of 33,983 earthquakes located during the 2016-2017 Central Italy seismic sequence. The velocity model used is the 1D gradient P- and S-wave velocity models (after Carannante et al., 2013). We used the highest quality P- and S-wave arrival times manually picked by analysts of the National Institute of Geophysics and Volcanology (INGV) seismic monitoring room, having an uncertainty lower than 0.6 s. </p> <p>Events were located by means of a 2-step procedure: the INGV routine absolute locations computation for all events with ML ≥ 1.5 that occurred in the study area between August 2016 and January 2018, using the method described in Chiaraluce et al. (2017); the determination of relative locations by applying the HypoDD code (Waldhauser, 2001) to the catalog picks and phase delay times measured from waveform cross correlation.</p> <p>The time domain cross-correlation method (Schaff et al., 2004; Schaff and Waldhauser, 2005) was applied to seismograms of all pairs of events separated by 3 km or less and recorded at common stations. Seismograms were filtered in the 1-15 Hz frequency range using a 4 pole, zero phase band‐pass Butterworth filter. The correlations measurements were performed on 0.7 s long window for P-waves and 1 s windows for S-waves. Only measurements with correlation coefficients greater than 0.7 were kept, resulting in a total of ~4.4 million P and ~1.1 million S wave delay times. </p> <p>We sub-divided the entire dataset in 18 rectangular boxes, containing a maximum of 6000 earthquakes, orthogonal to and centered on the mean strike of the seismic sequence. The overlap between neighboring boxes is 50% with respect to the NW-SE extension. HypoDD is run separately on each box. Resulting relative locations from all boxes were combined into a single catalog, computing the weighted mean of double hypocenters in the overlapping regions (Waldhauser and Schaff, 2008).</p> <p>The final double-difference catalog includes 33,982 events occurring between 24<sup>th</sup> of August 2016 and 18<sup>th</sup> of January 2018.</p> <p>The catalog is in csv format, semicolon separator, ordered by origin time and the header content is the following:</p> <ul> <li>Id-ingv: ingv eventid, useful to link to the QuakeML phase file through the INGV fdsnws/event webservice (<a href="https://meet.google.com/linkredirect?authuser=0&dest=http%3A%2F%2Fwebservices.ingv.it%2Fswagger-ui%2Fdist%2F%3Furl%3Dhttps%3A%2F%2Fingv.github.io%2Fopenapi%2Ffdsnws%2Fevent%2F0.0.1%2Fevent.yaml">http://webservices.ingv.it/swagger-ui/dist/?url=https://ingv.github.io/openapi/fdsnws/event/0.0.1/event.yaml</a>) and to the reported magnitude;</li> <li>Latitude(°) expressed in decimal degrees;</li> <li>Longitude(°) expressed in decimal degrees;</li> <li>Depth(km) hypocentral depth expressed in kilometers;</li> <li>Year of origin time in the format yyyy;</li> <li>Month of origin time in the format mm;</li> <li>Day of origin time in the format dd; </li> <li>Hour of origin time in the format hh;</li> <li>Minute of origin time in the format min;</li> <li>Second of origin time in the format ??.?????? s;</li> <li>Magnitude: the value available at the phases downloading time (see Id-ingv fdsnws/event)</li> </ul> <p> </p> <p> </p> <p> </p> <p><br> </p>
High-precision Aftershock Locations and Fault Planes of the 2016-2017 Central Italy Sequence
<p>The earthquake catalog includes high-precision hypocenter relocations for 390,334<br> earthquakes recorded during the 2016-2017 Amatrice (Central Italy) <br> earthquake sequence. The relative locations were computed by double-difference inversion of a <br> combination of INGV phase picks and cross-correlation differential <br> times measured from correlated seismograms with correlation coefficients > 0.7.</p> <p>Planes of normal faults (idx=1-5) are derived from PCA analysis of 2 months of aftershock <br> locations in the CAT4 catalog following large events. Surfaces of detachment faults (idx=7-10) are derived from mapping out the location of correlated earthquakes. </p> <p>Citation: Waldhauser, F., Michele, M., Chiaraluce, L., Di Stefano, R., & Schaff, D. P. (2021). Fault planes, fault zone structure and detachment fragmentation resolved with highprecision aftershock locations of the 2016-2017 central Italy sequence. Geophysical Research Letters, 48, e2021GL092918. https://doi.org/10.1029/2021GL092918</p>
USFWS Juvenile White Sturgeon Monitoring, San Joaquin River, 2016-2017
Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for juvenile White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. After two years of this experimental sampling program, it was discontinued due to low catches of White Sturgeon. SJR_Juvenile_WST_Set Data This dataset contains data on an experimental sampling program using trammel nets and setlines to catch juvenile White Sturgeon in the San Joaquin River. Sets were made at targeted locations from November-January in 2016 and 2017. One White Sturgeon (1000 mm fork length) was captured in a trammel net in 2016. SJR_Juvenile_WST_Catch Data This dataset contains data for individual fish caught in trammel nets or setlines in the San Joaquin River. Species and fork length were recorded for all fish. For White Sturgeon, girth, maturation, and tag information are provided. SJR_Fish_Taxonomy Data This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.
Contact data of Pienter3 (2016-2017) and PiCo (2020-2023) studies in the Netherlands
<p>Contact data of two cross-sectional, sero-epidemiological studies in the general population of the Netherlands:</p><ul><li>The Pienter3 study (2016-2017)</li><li>The PienterCorona (PiCo) study consisting of 10 rounds (2020-2023)</li></ul>
Open Access levels of Dutch universities' output 2016-2017 (articles & reviews): green, gold, hybrid and bronze - May 2018
<p>Using Web of Science and Unpaywall data, we here provide an update of Open Access (OA) levels of Dutch universities, for 2016 and 2017.</p> <p>Our previous analysis (<a href="http://doi.org/10.5281/zenodo.1133759">10.5281/zenodo.1133759</a> and <a href="http://doi.org/10.7287/peerj.preprints.3520v1">10.7287/peerj.preprints.3520v1</a>) looked at OA classification as included in Web of Science (gold and green OA, based on Unpaywall data), and supplemented that with a breakdown of gold OA into pure gold, hybrid and bronze, taken from Unpaywall data (formerly OADOI) directly. Here, we improve on this by running all DOIs retrieved from WoS through Unpaywall data (using their web interface that allows batch checking of up to 10,000 DOIs at a time). Unlike WoS, Unpaywall data itself includes author-submitted versions in their green OA classification, resulting in more complete green OA levels. </p> <p>In addition, since our initial analysis of December 2017, Unpaywall data has considerably expanded its coverage of institutional repositories (IRs) (see <a href="https://unpaywall.org/sources">https://unpaywall.org/sources</a>). This now includes coverage of the IRs from all Dutch universities. </p> <p>Taken together, the current data show higher levels of green open access, including author-submitted versions, compared to our previous analysis. </p> <p>In this update, we include output (articles and reviews) from 2016 and 2017 for all 14 universities in the Netherlands. </p> <p>The following categories are distinguished (description taken from Piwowar at al., 2018, doi: <a href="https://doi.org/10.7717/peerj.4375">10.7717/peerj.4375</a>)</p> <ul> <li><strong>Pure gold</strong>: Published in an open-access journal (as defined by the DOAJ)</li> <li><strong>Hybrid</strong>: Free under an open license in a toll-access journal</li> <li><strong>Bronze</strong>: Free to read on the publisher page, but without a license</li> <li><strong>Green: </strong>Available from an institutional or disciplinary repository (including PubMedCentral)</li> </ul> <p>Data for Dutch universities were collected from Web of Science using the organization-enhanced field. Only articles and reviews were included. DOIs were extracted from the Web of Science export, run through the Unpaywall data <a href="https://unpaywall.org/products/simple-query-tool">Simple Query Tool</a>. From the resulting data from Unpaywall, OA classification was done using a simple formula in Excel (to be replaced by an R script in a future update). The Excel template used is included in this dataset, as is the OADOI API output for each Dutch university's article subset, and the lists of DOIs derived from Web of Science. The dataset also includes summarized data and three charts generated from these data, showing levels of different types of OA for 2016, 2017 and the two years compared. </p> <p>----------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p>
Experimental evaluation of louver guidance efficiency for green sturgeon (Acipenser medirostris), Primary Datasets, 2016-2017
Throughout the world, louver-bypass systems are a common method for fish protection at water diversion sites. This study used controlled laboratory experiments to quantify louver efficiency for juvenile green sturgeon under a range of conditions. Green sturgeon juveniles used in the study were spawned from the University of California, Davis (hereafter UC Davis) captive broodstock program. Experimental trials were conducted within an indoor flume at the J. Amorocho Hydraulics Laboratory (JAHL) at UC Davis. The flume had a zero degree bed slop, and was equipped with a louver placed at a 15-degree angle to the streamwise flow. Louver slats had 25-mm clear spacing. The louver terminated at a bypass channel 0.3 m wide, and was operated to maintain water velocity in the bypass that was 1.2 times greater than the velocity in the flume. Full factorial experimental treatments were designed to address the influence of sturgeon size, water velocity, diel period, and water temperature on louver performance and behavior. Sturgeon were tested within three predefined size classes (range: 6 – 34 cm TL). At each size class, fish were tested under combinations of water velocity, water temperature, and photophase. During each experimental trial, 60 (+/-2) juvenile sturgeon were released from an acclimation chamber to enter the test area at the bottom of the flume. Fish were allowed to freely navigate throughout the test area until they were transported through the louver slats or bypass channel, at which point they were removed and the time was recorded. Trials ended when all fish were collected at a downstream endpoint, or after 90 minutes of exposure time, and remaining fish were removed from the flume. Trials were completed across two study years within seven months after hatch, following the same protocols with a few minor adjustments in year two. During daytime trials in both study years the louver face was monitored with video recordings to observe contact between fish and the
Shell length and dry tissue weight relationship of the mollusk Ostrea lurida (Olympia Oyster) in the low and subtidal zones of the San Diego River, California: 2016-2017.
Data was collected to look at the relationship between the dry tissue weight and the shell length of Ostrea lurida in the San Diego River, and use the data to compare it to other estuaries O. lurida inhabit along the west coast of North America. Sampling was done in the low and sub intertidal zones along the delta of the San Diego River from October 2016 through September 2017. A fifty meter transect was chosen to collect samples which was broken up into five 10 meter transects. In each of these 10-m transects, 0.5 X 0.5 m quadrats were randomly selected for oyster assessments. Oysters were removed by physical removal by hand. Once back in the lab shell lengths were measured and dry weights were obtained.
Stream Metabolism in Marsh Creek, Idaho, USA 2016-2017
Most research on stream metabolism uses a single reach to characterize a stream. We aimed to characterize variation in stream metabolism rates and the controls on metabolism along a 75-km agricultural stream. We continuously measured dissolved oxygen, discharge, conductivity, temperature, light, and turbidity using a variety of sensors deployed at 6 locations along Marsh Creek, a stream in southeastern Idaho. Monthly grab samples were collected for water chemistry throughout the study period, and aquatic vegetation was surveyed from May through September. Data were collected from October 2016 through October 2017.
PIE LTER suspended sediments at Law's Point, West Creek, a tidal marsh and creek off the Rowley River, Rowley, MA, during 2016-2017.
Turbidity and calibrated suspended sediment concentration measurements were collected along a shore-normal transect from the channel in West Creek, Rowley, MA extending 24 meters into the marsh interior at Law's Point at the PIE LTER. Data was collected every 15 minutes over two different growing seasons during 2016 and 2017, totaling 9 months.
SBC LTER: Reef: Kelp Nitrogen uptake in Carpinteria and Mohawk kelp forests, 2016-2017
A large on-going time-series monthly water samples have been taken at 1m, 5 m and 10 m depth from the offshore edge of five kelp forests near Santa Barbara, CA, USA (Arroyo Burro, Arroyo Quemado, Carpinteria, Mohawk, Naples). See dataset: http://sbc.lternet.edu/cgi-bin/showDataset.cgi?docid=knb-lter-sbc.10. Two datasets are presented here. One is a field study conducted in two of the sites (Mohawk or Carpinteria) to test the N uptake of giant kelp (Macrocystis pyrifera) and phytoplankton from May 2016 to October 2017. In situ rates of urea, ammonium and nitrate uptake by giant kelp blades and phytoplankton, which were enclosed together within polyethylene blade bags, from the surface canopy of Mohawk or Carpinteria kelp forests. The second dataset has the results of laboratory experiments for testing the direct uptake of urea by whole blades and natural phytoplankton communities entrained in surface canopy waters.
Annual Morella cerifera shoot growth on Hog Island of the Virginia Coast Reserve 1990-2007 and 2016-2017
This dataset contains an annual summary of stem growth data for Morella cerifera (formerly Myrica cerifera)shrubs. Data was collected yearly starting in 1990 until 2007 and irregularly thereafter.
with Hemidactylus brookii angulatus Hallowell, 1852. The species was recently recorded from Quiçama National Park in Luanda Province (M. Marques, L. Ceríaco, A. Bauer and D. Blackburn pers. obs. 2015, 2016). MAP 130. Distribution of Hemidactylus bayonii in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
with Hemidactylus brookii angulatus Hallowell, 1852. The species was recently recorded from Quiçama National Park in Luanda Province (M. Marques, L. Ceríaco, A. Bauer and D. Blackburn pers. obs. 2015, 2016). MAP 130. Distribution of Hemidactylus bayonii in Angola.
Dataset 5 of 8: Particulate matter PM2.5 concentrations in California (2016-2017) (CARB 19RD004)
Open the record for dataset details and reuse information.
Turbidity of a Salt Marsh within the Chesapeake Bay, VA, USA, 2016-2017
We measured turbidity along a transect from channel to marsh interior from December 2015 to January 2017 at a salt mash at the mouth of the York River in the Chesapeake Bay, VA, USA. We measured turbidity (NTU) with three optical back scatter sensors (YSI EXO) to in a shore normal transect, with one in the channel and two on the marsh surface at 1m from the marsh edge and 12m from the marsh edge, respectively. The sensors measured every 15 minutes and were equipped with automatic wipers to reduce biofouling. Following retrieval, the turbidity time series data was filtered to remove any erroneous points and times when the sensors were fouled or exposed (Coleman et al. 2020). Turbidity was then calibrated to suspended sediment concentration with local sediment resulting in the calibration equation SSC (mg/L) =1.667*Sensor Turbidity (NTU)
Chemical characteristics of snow in the ablation zone of Canada Glacier in the McMurdo Dry Valleys, Antarctica during the 2016-2017 austral summer
This data package contains chemical characteristics of snow in the ablation zone of Canada Glacier, located in Taylor Valley, McMurdo Dry Valleys, Antarctica during the 2016-17 austral summer. Specifically, snow samples were collected from the ablation zones of Canada and Commonwealth Glaciers to characterize the chemistry of recent snowfall in the ablation zones of these glaciers. Samples were collected in triplicate near mass balance stakes on the same date ice cores were collected as part of a larger study characterizing the spatial and temporal geochemical evolution of glacial meltwater. A subset of snow samples collected from Canada Glacier have been analyzed and are included here. This package may be amended in the future if analysis of the remaining samples from both Canada and Commonwealth Glaciers occurs.
Metabolic responses of Plectus murrayi across a temperature gradient, McMurdo Dry Valleys, Antarctica, 2016-2017
Populations of Plectus murrayi, a mesophilic nematode, have been increasing in the McMurdo Dry Valleys, Antarctica over the past three decades. In contrast, most other Antarctic nematode species, including Scottnema lindsayae, have experienced constant population declines over the same time period due to climate change related increases in summer temperatures and wetting occurrences. To determine why P. murrayi populations are outperforming other Antarctic nematode species, we performed a laboratory experiment to measure their metabolic responses to increasing temperatures. For this experiment, P. murrayi were cultured from soils collected in Taylor Valley during the austral summers of 2016 and 2017 as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) Project. Using a TAM IV Isothermal Microcalorimeter, we measured the metabolic heat rates of these cultured P. murrayi populations in six sealed 4 mL vials. Three of these vials also contained 200 µl ampoules of 0.4 M NaOH. NaOH reacts with CO2 produced from metabolic processes to release a known amount of heat (108.5 kJ/mol CO2). The difference in metabolic heat rate produced in vials containing NaOH and those without NaOH is proportional to CO2 produced from P. murrayi metabolism. Consequently, this method allowed us to track metabolic heat rates as well as CO2 production rates. O2 consumption was calculated from vials without NaOH using Thornton's rule (455 kJ of metabolic heat/mol O2). P. murrayi metabolic heat rates were compared to C. elegans for reference, and baseline measurements included heat rates of E. coli and blank agar.
Species composition and plant functional traits on Hog and Metompkin Islands, VA 2016-2017
Physical characteristics (soil salinity, elevation, distance from shoreline) and biological parameters (species composition, cover, biomass, and functional traits) were measured for plants on Hog Island (Northampton Co. VA) and Metompkin Island (Accomack County, VA). Physical parameters were measured during 2016. Plant biomass, species composition, percent cover, and functional traits were measured in 2017. Data Table 1: Environmental and geographic data on Hog and Metompkin Islands, VA 2016 Data Table 2: Species composition and aboveground plant functional traits on Hog and Metompkin Islands, VA 2017 Data Table 3: Vegetative biomass on Hog and Metompkin Islands, VA 2017 Data Table 4: Plot-level root functional traits on Hog and Metompkin Islands, VA 2017 Data Table 5: Latitude-longitude coordinates of plots on Hog and Metompkin Islands, VA 2016-2017
Benthic Chlorophyll and Macroalgae on an Experimentally-manipulated Tidal Flat on the Virginia Coast, 2016-2017
In 2016 a Before-After-Control-Impact experimental design was used to test if the removal of macroalgae from a heavily vegetated mudflat would result in an increase in MPB biomass (Smith 2002). Data Table 1 (BCL_BACIexpa.csv):Benthic chlorophyll samples collected from mudflat where experimental macroalgal removal was conducted. Samples collected haphazardly from 3500 m^2 plots. Sediment cores were 1 cm inner diameter and 2 cm deep. Data Table 2 (BCL_MAMPBa.csv):Survey data where macroalgal mats were sampled and sediment beneath mats sampled for benthic chlorophyll. This data table contains benthic chlorophyll data. Corresponding macroalgal mass data found in MAmass_MAMPBa.csv. Sediment cores were 1 cm inner diameter and 2 cm deep. Three subsamples taken (A,B,C). Data Table 3 (MAmass_MAMPBa.csv): Survey data where macroalgal mats were sampled and sediment beneath mats sampled for benthic chlorophyll. This data table contains macroalgal mass data. Corresponding chlorophyll data found in BCL_MAMPBa.csv
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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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