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674 results for “1957”
Meteorological data from benchmark stations at the HJ Andrews Experimental Forest, 1957 to present
A three-level hydro-climatological network for data monitoring was established in 1994. The networks at each level are nested to form a coordinated program of data acquisition and measurement. A future vision of linking the benchmark meteorological stations with regional weather stations to expand the future scope of studies was also considered in designing this network. The first-level in this top-down approach consists of Benchmark Meteorological Stations (BMS) and Benchmark Stream Stations. The BMS are designed to represent the environment across the Andrews. These stations are intended to provide complete, long-term, high temporal resolution, meso-scale hydroclimatological data. The location of the BMS network is based on factors such as elevation, aspect, vegetation gradients, and accessibility. Collected meteorological parameters are generally standardized across the BMS as well as methods and instrumentation. Secondary Meteorological Stations also follow standardized methods and serve similar purposes but are somewhat limited in meteorological parameters collected. The Primary Meteorological Station (PRIMET), Central Meteorological Station (CENMET), Upper Lookout Meteorological Station (UPLMET), and Vanilla Leaf Meteorological Station (VANMET) are the four Benchmark Stations, Climatic Station at Watershed 2 (CS2MET) and the Hi-15 Meteorological Station (H15MET) are Secondary Stations. Watershed 7 Meteorological Station (WS7MET) was instrumented in 2006 and serves as an additional Secondary Station. In 2024, entities/measurement parameters (precipitation, wind, solar, soil, and snow) from MS001 database were partitioned out into separate databases.
Bonanza Creek LTER: Yearly Seedfall Summary from 1957 to Present in the Bonanza Creek Experimental Forest near Fairbanks, Alaska
The Yearly Seedfall Summary dataset includes seed counts and germination rates of Picea glauca, Picea mariana, Betula neoalaskana (papyrifera), Picea mariana, Larix larciana, Alnus crispa, and Alnus tenuifolia. Seeds are collected in .25m^2 trays located on the forest floor of the a selected set of LTER successional sites. Germination takes plaace in the BECRU lab facility at UAF.
Kivu Rift 1957-58-59 orthomosaics, version 2020
<p>The orthomosaics provided in this repository are based on historical aerial photographs acquired in 1957, 1958 and 1959 over the Kivu Rift region, in Eastern D.R.Congo, Rwanda and Burundi. This is the 1st version of these orthomosaics, used in the frame of the work of Depicker et al. (2021), on the historical dynamics of landslide risk in the Kivu rift.</p> <p><strong>How to cite the data</strong></p> <p>If you use the orthomosaics, please cite the following to references:</p> <ul> <li>Smets, B., Depicker, A., 2023. Kivu Rift 1957-58-59 orthomosaics, version 2020. <a href="https://doi.org/10.5281/zenodo.7802109">https://doi.org/10.5281/zenodo.7802109</a>.</li> <li>Depicker, A., Jacobs, L., Mboga, N., Smets, B., Van Rompaey, A., Lennert, M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., Govers, G., 2021. Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift. Nature Sustainability 4, 965-974. <a href="https://doi.org/10.1038/s41893-021-00757-9">https://doi.org/10.1038/s41893-021-00757-9</a>.</li> </ul> <p><strong>Main characteristics of the orthomosaics</strong></p> <ul> <li>Format = GeoTIFF</li> <li>Pixel depth = 16-bit unsigned (unint16)</li> <li>Spatial resolution = 1 or 1.1 m</li> <li>Coordinate system: WGS 84 / UTM 35S (EPSG: 32735)</li> </ul> <p>------------------</p> <p>(c) Royal Museum for Central Africa, 2020-2023</p>
Annual bedload accumulation from sediment basin surveys in small gauged watersheds in the Andrews Experimental Forest, 1957 to present
Sediment debris basins are established within the Andrews Experimental Forest as part of paired watershed experiments examining differences in streamflow and nutrient chemistry due to timber harvest. Basins are constructed below the stream gaging station in each of five basins, and these basins and the deposits of sediment within them are re-surveyed or emptied annually to measure bedload sediment production. Basins are measured on Watersheds 1, 2 (control) and 3 beginning with wateryear 1957 and on Watersheds 9 (control) and 10 beginning wateryear 1974. Data collection is ongoing at an annual time step. Data provided include the watershed name, wateryear, survey method, watershed area, annual bedload volume and accumulation rate. These data display both the chronic production of sediment, as well as pulsed, episodic bedload from landslides within the contributing basins.
Periodic stream temperature data (1957-1983) in the Andrews Experimental Forest
Weekly maximum and minimum water temperatures were recorded at the gaging stations on three small watershed (Watersheds 1, 2, and 3) in the Andrews Experimental Forest from 1959 through 1966. The period from 1959 to 1962 represents before-logging conditions. Watershed 2, which remained undisturbed through this period, served as a control in statistical comparisons. Temperatures continued to be recorded from these watershed until 1981. From 1964 to 1980, temperatures were recorded at watersheds 6, 7, and 8. Watershed 10 temperatures were recorded from 1981 through 1983.
Daily climatological observations from Sapelo Island, Georgia, from May 1957 through July 2001
Daily summaries of air temperature and precipitation were collected from the National Weather Service weather station on Sapelo Island, Georgia, from May 1957 through July 2001. The station (NWS Station 97808) is located at the University of Georgia Marine Institute (UGAMI), and has been in continuous operation since 1957. Observations are logged and transmitted to the NWS by UGAMI personnel, and archived by the NOAA National Climatic Data Center (http://www.ncdc.noaa.gov/). The monitoring station is described on the Georgia Coastal Ecosystems web site at http://gce-lter.marsci.uga.edu/lter/research/mon/ugami.htm.
European Investment Bank Projects in ACP, OCT, Africa, Asia, and Latin America (1957-2024)
<p>This dataset offers a comprehensive analysis of European Investment Bank (EIB) projects in Africa, the Caribbean, and the Pacific (ACP) regions, Overseas Countries and Territories (OCT), Asia, and Latin America, spanning from 1975 to 2023. The dataset includes information on 2,558 projects; each entry in the dataset includes key project details such as the project’s sector, date of signature, and financial commitments. All numbers are in 2015 euros.</p>
ERA5-Land selected indicators daily aggregates for Africa, 1957
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1957.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p>
ERA5-Land selected indicators daily aggregates for the Latin America region, 1957
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1957.</p><p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p><p>For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.</p><p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>
Tree species, size class, and DBH in the University of Michigan Biological Station (UMBS) Burn Chronosequence established in 1957 and remeasured in 1979 and 1998
A complete survey of overstory vegetation and saplings in the Bob Farmer plots within the UM Biological Station clearut and burn chronosequence. Surveys were completed in 1979 and 1998 to measure the change in biomass and forest composition in the burn plots with forest succession.
Field cover at the Edwin S. George Reserve, Southeastern Michigan in 1957
Raunkiaer's well known system of plant life-form classification shows relationships between relative importance of certain life-form classes and major world climatic zones. Recent investigations have shown that there are also differences in life-form distribution related to climatic variations within the larger "phytoclimates." Several reviews (Adamson 1939; Cain 1950; Cain & Castro 1959) have summarized our understanding of these life-form concepts. Relationships between life-forms and microclimate, however, have not been intensively investigated. Cain (1950) suggests that "Although life-form spectra have been employed mostly for general climatic analysis, there are enough studies available to suggest that they may be even more useful for the analysis of climatic variants and microclimates." The limited data available in the literature provide enough evidence that life-form distribution varies with differences in topography and microclimate to warrant further investigation of the subject. The possible indicator significance of variations in community life-form composition also have received little attention. Whittaker (1954) points out that "composition of vegetation in terms of life-forms and growth-forms may indicate position along local gradients." Furthermore, the fact that a plant's life-form represents, in theory, a fundamental adaptation to environment makes community life-form composition of greater potential value than community species composition for use as an indicator of site (microenvironmental) conditions. This study was an intensive investigation of the vegetation and microclimates of north- and south- facing (henceforth referred to as north and south) slopes on the E. S. George Reserve in southeastern Michigan. The data obtained were used to demonstrate relationships between Raunkiaerian life-forms and microclimate and to illustrate the value of community life-form data as indicators of habitat conditions. The metadata for this dataset are taken fr
Quantifying Changes along Mainland Marshes in the Virginia Coast Reserve, 1957-2011: GIS data
This dataset contains data that quantifies the long-term rate of change in the shoreline position along seaside mainland marshes of the Virginia Coast Reserve between 1957 and 2009. It also contains data that delineates potential areas available for future marsh transgression under three different sea level rise scenarios based on current land use and elevation data. Shoreline position was determined for ten individual mainland marsh sites 3-4 km in length, plus the full length of the mainland marsh edge along the entire seaside length of the peninsula, based on aerial imagery from 1957, 1966, 1989, 2002, and 2009. The ten marsh sites (north to south) were at Gargathy Bay, Cedar Island Bay, Hummock Cove, Wachapreague, North Matulakin Marsh, Short and Long Prong Marshes, Crabbing Marsh, Oyster, Mockhorn Bay, and Marion Scott Cove. Metrics of the rate of change were determined using the Digital Shoreline Analysis System (DSAS), an ArcGIS extension (Thieler et al., 2009). Given the digitized shorelines and a parallel baseline as inputs, DSAS creates evenly-spaced transects perpendicular to the baseline and calculates the rate of shoreline change using a variety of methods, including the End Point Rate (EPR), linear regression rate (LRR), and various iterative and weighted linear regressions. Statistics for these regressions are included in the transect and summary point attribute data. Areas potentially suitable for future marsh transgression based on land use were determined based on 2005 NOAA Coastal Change Analysis Program (CCAP) data and consisted of upland and wetland areas currently in forest or scrub/shrub cover and adjacent to existing marshes. The acreage of these potential marsh areas that could be inundated and unavailable for marsh transgression under three different sea level rise scenarios was also determined based on elevation data from 2010 LiDAR surveys (see VCRLTER dataset VCR12194). Data on sediment grain size characteristics from the field collectio
Quantifying Changes along Mainland Marshes in the Virginia Coast Reserve, 1957-2011: Tabular data
This dataset contains data that quantifies the long-term rate of change in the shoreline position along seaside mainland marshes of the Virginia Coast Reserve between 1957 and 2009. It also contains data that delineates potential areas available for future marsh transgression under three different sea level rise scenarios based on current land use and elevation data. Additionally, the tabular data contains sediment grain size analysis results from sediment cores collected in 2011 at six of the ten study sites, plus GPS elevation profiles of the marsh edges at those sites. Shoreline position was determined for ten individual mainland marsh sites 3-4 km in length, plus the full length of the mainland marsh edge along the entire seaside length of the peninsula, based on aerial imagery from 1957, 1966, 1989, 2002, and 2009. The ten marsh sites (north to south) were at Gargathy Bay, Cedar Island Bay, Hummock Cove, Wachapreague, North Matulakin Marsh, Short and Long Prong Marshes, Crabbing Marsh, Oyster, Mockhorn Bay, and Marion Scott Cove. Metrics of the rate of change were determined using the Digital Shoreline Analysis System (DSAS), an ArcGIS extension (Thieler et al., 2009). Given the digitized shorelines and a parallel baseline as inputs, DSAS creates evenly-spaced transects perpendicular to the baseline and calculates the rate of shoreline change using a variety of methods, including the End Point Rate (EPR), linear regression rate (LRR), and various iterative and weighted linear regressions. Statistics for these regressions are included in the transect and summary point attribute data. Areas potentially suitable for future marsh transgression based on land use were determined based on 2005 NOAA Coastal Change Analysis Program (CCAP) data and consisted of upland and wetland areas currently in forest or scrub/shrub cover and adjacent to existing marshes. The acreage of these potential marsh areas that could be inundated and unavailable for marsh transgression under
Figure 8. Metapenaeus dalli Protozoea I in Larval development of the western school prawn Metapenaeus dalli Racek, 1957 (Crustacea: Decapoda: Penaeidae) reared in the laboratory
Figure 8. Metapenaeus dalli Protozoea I (a) dorsal view; (b) first antenna; (c) second antenna; (d) mandible; (e) first maxilla; (f) second maxilla; (g) first maxilliped; (h) second maxilliped; (i) third maxilliped. Scale bars: a–c, g–i = 0.1 mm; d–f = 0.05 mm.
Figure 6. Metapenaeus dalli Nauplius V in Larval development of the western school prawn Metapenaeus dalli Racek, 1957 (Crustacea: Decapoda: Penaeidae) reared in the laboratory
Figure 6. Metapenaeus dalli Nauplius V (a) ventral view; (b) first antenna; (c) second antenna; (d) mandible. Scale bar = 0.1 mm.
Figure 2. Metapenaeus dalli Nauplius I in Larval development of the western school prawn Metapenaeus dalli Racek, 1957 (Crustacea: Decapoda: Penaeidae) reared in the laboratory
Figure 2. Metapenaeus dalli Nauplius I (a) ventral view; (b) first antenna; (c) second antenna; (d) mandible. Endopod (End.) and exopod (Ex.) denoted on second antennae and mandible. Scale bar = 0.1 mm.
Figure 14. Metapenaeus dalli Post larvae I in Larval development of the western school prawn Metapenaeus dalli Racek, 1957 (Crustacea: Decapoda: Penaeidae) reared in the laboratory
Figure 14. Metapenaeus dalli Post larvae I (a) lateral view; (b) first antenna; (c) second antenna; (d) mandible; (e) first maxilla; (f) second maxilla; (g) first maxilliped; (h) second maxilliped; (i) third maxilliped; (j) third pereiopod; (k) fifth pereiopod; (l) pleopods; (m) telson and uropods. Scale bars: a–c, g–m = 0.1 mm; d–f = 0.05 mm.
Figure 7. Metapenaeus dalli Nauplius VI in Larval development of the western school prawn Metapenaeus dalli Racek, 1957 (Crustacea: Decapoda: Penaeidae) reared in the laboratory
Figure 7. Metapenaeus dalli Nauplius VI (a) ventral view; (b) first antenna; (c) second antenna; (d) mandible. Scale bar = 0.1 mm.
Figs 1–2. Smicromyrme bidenticulatus Chen, 1957 in Taxonomic review of Chin-wen Chen's species described in the genus Smicromyrme (Hymenoptera: Mutillidae)
Figs 1–2. Smicromyrme bidenticulatus Chen, 1957, ♁, holotype. 1 – habitus, lateral view; 2 – labels.
Figs 3–7. Smicromyrme triguttatus latisquamula Chen, 1957 in Taxonomic review of Chin-wen Chen's species described in the genus Smicromyrme (Hymenoptera: Mutillidae)
Figs 3–7. Smicromyrme triguttatus latisquamula Chen, 1957, ♀, paratype from Dazhulan, Shaowu, 1.vii.1944. 3 – habitus, dorsal view; 4 – habitus, lateral view; 5 – face; 6 – pygidial area; 7 – labels.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.