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848 results for “1978”
Snow depth and snow water equivalent measurements along a road course and historic snow course in the Andrews Experimental Forest, 1978 to present
With an increase in emphasis on monitoring climate change impacts and change in the form of precipitation at HJ Andrews Experimental Forest, snow data collection within our climate monitoring program, a snow course to document depths of snow was designed around a dispersed sampling scheme rather than a point intensive scheme as previously employed in the historic Reference Stand snow course. Primary objectives are to document the presence/absence of snow, snow depth, and time of melt-off. Snow depths are verified using stakes placed near the road to allow for routine and frequent observation. Stakes are placed at different locations, elevations and aspects in paired forested/open sites. Time-lapse cameras were deployed at all the stakes to allow for daily measurements beginning in fall 2014. Truthing of points with snow core sampling for snow moisture content (snow water equivalent) is done when possible, usually 1-2 times per year. Cameras are set to take 3 readings per day (09:00, 12:00, 15:00 PST). One snow depth and coverage is extracted from the images per stake per day.
Small Mammal Trapping Data for Assateague Island, MD 1978
This is raw trapping data from a survey of small mammals along 21 transects on the Maryland portion of Assateague Island during the summer of 1978.
Early EASE-GRID Sea Ice Age, 1978-1983
<p>Early spin-up period Arctic sea ice age data for 1978 through 1983. This product augments the NSIDC sea ice age product: "EASE-Grid Sea Ice Age, Version 4.1" (Tschudi et al., 2019a), which begins in January 1984. See the main product website for complete documentation. The age is estimated via Lagrangrian tracking based on the NSIDC sea ice motion product (Tschudi et al., 2019b), whose source data is primarily passive microwave brightness temperatures and drifting buoys. Age is estimated weekly as annual age categories. Values are: 1 for "first-year ice", ice that is 0-1 years old, and so on for older ice. The ice is "aged" once each year during the week of the annual sea ice minimum extent, generally sometime in September. </p> <p>In this product, the initialization of the field begins with the first available data in late-October 1978. For the existing ice at that time, age is initialized at the start of the product with age=1. The first week of the data, because it is after the minimum, the age of existing ice is augmented to age=2 and new ice is given age=1. So, the first field in 1978 has only two age categories of 1 (0-1 years old) or 2 (1-2 years old) and this continues through 1978. This means that the age of the ice that formed between the minimum in September and the beginning of the data in late-October 1978 is overestimated by one year. In subsequent years, the oldest ice category will continue to overestimate some of the ice pack until that initial ice either: (1) melts, (2) is transported out of the Arctic, or (3) reaches the maximum age in the product (16 years).<br> <br> Much of the the existing ice in 1978 may be older than 1-2 years old as ice may stay in the Arctic for 5 or more years, but the data availability and the Lagrangian methodology cannot give a specific until the product is fully "spun up". For each subsequent year, a one-year older age category is added in the week of each year's extent minimum. Note that due to the assumption made at the beginning of the product in 1978, the oldest ice category may overestimate the true age of some parcels by one year. </p> <p>Tschudi, M., W. N. Meier, J. S. Stewart, C. Fowler, and J. Maslanik. (2019a). EASE-Grid Sea Ice Age, Version 4 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/UTAV7490FEPB. Date Accessed 02-20-2023.</p> <p>Tschudi, M., W. N. Meier, J. S. Stewart, C. Fowler, and J. Maslanik. (2019b). Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4 [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/INAWUWO7QH7B.</p>
Daily rainfall series and rainfall erosivity in Mexico for three climatic normals (1968-1997, 1978-2007, and 1988-2017)
As in many countries around the world, there are some issues in the Mexican rainfall series, such as missing values, short measurement periods, and series homogeneity (breaks due to station relocation and measurement mistakes), which further compound the challenge of using climate data. Furthermore, it is necessary to develop a complete and helpful rainfall series database by following an imputing and homogenization process of the rainfall series. This research has compiled and systematized a national dataset with daily rainfall and rainfall erosivity for three climatic normals CN (1968-1997, 1978-2007, and 1988-2017). We have used the "climatol" package to fill the data. After, we calculated daily rainfall erosivity using a power law model. As a result, we obtained 1370, 1679, and 1683 rainfall series for the CNs 1968-1997, 1978-2007, and 1988-2017, respectively. The median values of the rainfall erosivity for the three CNs were 3245, 3070, and 3327 MJ mm/ ha h yr, respectively. We are making this database available for public consultation for researchers and students, technical assistants, decision-makers, and others interested in environmental studies in Mexico.
Fire in the Everglades, 1978-2023
In the Florida Everglades, fire is a key driver of ecological dynamics, interacting with hydrology and vegetation structure. Fires have been recorded by Everglades National Park and Big Cypress National Preserve (1978-2023) by mapping the outer boundary of fires. Annual fire perimeter data for the two regions were combined to generate a fire history database for the subtropical landscape. This dataset includes fire perimeters, binary burned layers, and years of fire layers that can be used to quantify fire dynamics across subtropical ecosystems.
Stream cross-section profiles in the Andrews Experimental Forest and Hagan Block RNA 1978 to 2011
This database consists of periodically resurveyed cross-section profiles for 5 sites (stream reaches) located in the H.J. Andrews Experimental Forest on 3rd to 5th-order stream channels over the period 1978-present, and also includes historical data from Shorter Creek within the Andrews and two sites (North and South) on the Hagan Creek in the Hagan Block RNA. Each of these sites includes 10-20 cross sections spaced about 10-50 m apart. Observations include cross-sectional geometry based on surveys relative to a horizontal line between permanent stations on opposite sides of the stream, substrate type based on pebble counts and notes on extent of bedrock, and photo-documentation of the sites. Sampling was primarily done annually until 2000 and opportunistically since then depending on funding and noted geomorphic changes in response to floods. Sampling at least every 5 years is desired. Data tables cover 1. elevation and distance measurements between fixed end points, 2. pebble counts for particle size, 3. measures of extent of exposed bedrock, 4. vegetation (1984 only) in terms of % cover by spp., % cover of substrate types, and plant measurements for making biomass estimates with allometric equations, but such estimates are not presented. The original raw cross-section data for these sites has been adjusted to align profiles for consecutive year comparisons at each cross-section location to correct for imprecision in the survey methodology. John Faustini, in 1998, further corrected this cross-section data from 1978-1998 for the five main sites in database GS019. Arianna Goodman, in 2021, performed additional corrections on the data, including more recent collections, 1978-2011, also in database GS019. The Shorter Creek cross-section surveys took place in 1978-1982 only. The Shorter Creek cross-section surveys took place in 1978-1982 only.
Arctic LTER Streams Chemistry Toolik Field Station, Alaska 1978 to 2019.
Since 1983, the Streams Project at the Toolik Field Station has monitored physical, chemical, and biological parameters in a 5-km, fourth-order reach of the Kuparuk River near its intersection with the Dalton Highway and the Trans-Alaska Pipeline. In 1989, similar studies were begun on a 3.5-km, third-order reach of a second stream, Oksrukuyik Creek. In each river, physical conditions (such as discharge and temperature), nutrient levels, primary production, insects, and fishes are monitored throughout the summer. Also, we conduct experimental fertilization of the Kuparuk River and Oksrukuyik Creek to determine the effects of added phosphorus and nitrogen on primary productivity, insect communities, and fish growth in arctic rivers. The Oksrukuyik Creek has not been fertilized since 1996. The Kuparuk River received phosphorus additions from 1983 through 2016. Station sites are relative distance from the original nutrient drippers for both the Kuparuk and Oksrukuyik. Kuparuk stations include sites in a reference, recovery, and fertilized reach. Reaches were defined based on the location of nutrient addition (see methods).
Average monthly sea ice coverage for various PAL LTER sub-regions West of the Antarctic Peninsula derived from passive microwave satellite data, 1978 - June 2024.
Monthly sea ice coverage derived from passive microwave satellite measurements and extracted for various PAL LTER subregions. Several different sea-ice metrics are provided including (1) monthly sea-ice extent, sea-ice area, and open-water area (km^2) extracted for the greater WAP region (from the AP to 80W) and for 3 PAL LTER grid regions: the original PAL grid (000-900 lines), the PAL 'DSR' grid (200-600 lines), and the PAL 'new' grid (-200 to 600 lines); and (2) monthly sea-ice concentration (%) extracted for small PAL subregions, including the nominal penguin foraging areas (~200km by ~200km) southwest of King George Island (KGI), Anvers, Avian and Charcot islands, as well as for Marguerite Bay (~140km by ~140km) (inland of the area defined for Avian).
SPARC Data Initiative monthly zonal mean composition measurements from stratospheric limb sounders (1978-2018)
<p>The SPARC Data Initiative dataset is the most comprehensive compilation of vertically resolved stratospheric composition measurements to date and consists of four decades of monthly zonal mean climatologies (1978-2018) from a range of satellite limb sounders including LIMS, SAGE I/II/III, HALOE, UARS-MLS, POAMII/III, OSIRIS, SMR, MIPAS, GOMOS, SCIAMACHY, ACE-FTS, ACE-MAESTRO, Aura-MLS, HIRDLS, SMILES, OMPS-LP and SAGE III-ISS. The dataset includes most major long-lived trace gases (O<sub>3</sub>, H<sub>2</sub>O, N<sub>2</sub>O, CH<sub>4</sub>, CCl<sub>3</sub>F, and CCl<sub>2</sub>F<sub>2</sub>), transport tracers (HF, SF<sub>6</sub>, HCl, CO, HNO<sub>3</sub>, NOy), and shorter-lived trace gases important to stratospheric chemistry including nitrogens (NO, NO<sub>2</sub>, NOx, N<sub>2</sub>O<sub>5</sub>,and HNO<sub>4</sub>), halogens (BrO, ClO, ClONO<sub>2</sub> and HOCl), and other minor species (OH, HO<sub>2</sub>, CH<sub>2</sub>O, CH<sub>3</sub>CN). The observations considered have been compiled in units of volume mixing ratio (VMR) and on a common latitude-pressure grid, covering the region from the upper troposphere to the lower mesosphere (300-0.1 hPa) with a latitudinal resolution of 5 degrees.</p> <p> </p>
Understory plant community data from repeated plot sampling (1978-2019) in old-growth northern hardwood forest, northern Michigan (Dukes RNA, Hiawatha National Forest)
This data-set includes long-term, permanent-plot-based data for understory plant communities in old-growth mixed northern hardwood-hemlock forest and forested peatland in the Upper Great Lakes region. Data for over 900 understory quadrats (all associated with long-term canopy data from larger permanent plots) included multiple (2-5) remeasurements over 23-40 years, with longest periods and most remeasurements for upland forest types. The Dukes Research Natural Area (RNA) (https://www.fs.usda.gov/research/nrs/rnas/locations/dukes) in the Hiawatha National Forest (Marquette Co., MI) includes ca. 100 ha of largely unlogged, original forest. Publications cited below include more detailed information about the site. About half of the RNA supports upland forests intergrading from hemlock (Tsuga candensis) dominance to mixtures of hemlock and northern hardwoods species. Sugar maple (Acer saccharum) is dominant over much of the upland area, with, locally, significant admixtures of beech (Fagus grandifolia), yellow birch (Betula alleghaniensis), and red maple (Acer rubrum). Topographic relief is very slight with total elevational change within the RNA only about 10 m. The stand is within a few km of the western limit of the continuous range of beech. In 1935, 248 continuing forest inventory (CFI) plots (circular, 0.2 acre) were established on a regular grid throughout the RNA, and these have been the subject of repeated sampling through 2018-2019 and support continuing long-term study addressing canopy tree communities (canopy data to be deposited in a separate project). Examples of resulting publications are cited elsewhere in metadata, and can provide more detailed information about the RNA. In 1978-80, U.S. Forest Service researchers, directed by Jan Schultz and Frederick Metzger, initiated studies of understory communities, including herbaceous species and woody seedlings. Data were derived from four sub-quadrats within each of the CFI plots. These quadrats were re-estab
Kuparuk River stream temperature and discharge measured each summer, Dalton Road crossing, Arctic LTER Toolik Field Staion, Alaska 1978-2019
Stream temperature and discharge measured each summer for several streams in the Toolik area. In many years, temperature and stream height were recorded manually each day. In recent years, dataloggers have measured stream temperature and stream height at regular intervals. The Kuparuk River data was maintained by Doug Kane and the Water and Environmental Research Center at UAF through 2017 (http://ine.uaf.edu/werc/projects/NorthSlope/upper_kuparuk/upper_kuparuk....). Stream height is converted into stream discharge based on a rating curve calculated from manual discharge measurements throughout the season. The principal investigator in charge of the temperature and discharge measurements is Dr. Breck Bowden. Note: This file replaces older yearly files of discharge and temperatures
Long-Term Aquatic Faunal Sampling via Throw Trap in Shark River Slough, Everglades, Florida, USA, 1978 – 2021
Long-term monitoring of fish communities in the Everglades using 1-m2 throw traps started in 1978 and is ongoing. Data represent the number of individuals per species collected per throw trap (i.e., individuals per square meter). From 1978-1995 sampling occurred five times per year, referred to as periods, at one plot per site and the number of throws was determined by estimates of inter-sample variance. In 1996, the spatial extent of monitoring was expanded to include additional sites and multiple plots per site. At each plot 5-7 throw trap samples were collected with sampling location within a plot being drawn from a random number table. Days since dry (DSD) are calculated as the number of days since depth was last < 5 cm using the Everglades Depth Estimation Network and in situ depth measurements. Statistical comparisons of community composition can be found in FCE1258_community_change.Rmd
Pattern morphology for frogs captured at 9 locations in northeastern Puerto Rico over a 25-year period from 1978 to 2002
We recorded the pattern morph for 9,950 frogs captured at 9 locations in northeastern Puerto Rico over a 25-year period from 1978 - 2002. Data revealed 21 distinct pattern morphs including a variety of stripes, bars, and spots. Analysis of morph frequencies between plots showed significant heterogeneity, with longitudinal stripes more common in grassland and disturbed areas, and spot and bar morphs more common in forests where palm and bromeliad axils are important habitat features. Comparison of morph frequencies through time at the same sites showed temporal shifts immediately following Hurricane Hugo in 1989. We suggest that the pattern polymorphism is maintained in part by local habitat matching resulting from selection pressure from visual predators. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Minocqua Dam Daily Meteorological Data at North Temperate Lakes LTER 1978 - current
Meteorological measurements are being gathered at a site at the Minocqua Dam for these purposes: 1) to supplement the data from the raft on Sparkling Lake and 2) to provide standard meteorological measurements for the North Temperate Lakes site. The following parameters are measured and stored as daily values: 1) maximum air temperature, 2) minimum air temperature, 3) precipitation, 4) snowfall, and 5) snowdepth. Snowdepth data begin in 1996. Precipitation data are summed for 5- minute intervals during periods of detectable precipitation. Data are reported at 7am each day for the previous 24 hours. E.g, data for June 5 are for period 7am June 4 to 7am June 5. Sampling Frequency: data averaged to daily values Number of sites: 1
ERA5-Land selected indicators daily aggregates for Africa, 1978
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1978.</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>
Trento 1936 - Building 1978
<u>Coordinates</u>: N/A <br><u>Length</u>: 14.69 m<br><u>Width</u>: 12.25 m<br><u>Height</u>: 20.75 m<br><u>Points</u>: 34 <br><u>Vertices</u>: 192 <br><u>Primitives</u>: 64 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.xml</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12691834/files/building_1978.glb/content">building_1978.glb</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691834/files/building_1978.obj/content">building_1978.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12691834/files/11572248_edm.xml/content">11572248_edm.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12691834/files/11572248_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691834/files/11572248_metsmods.xml/content">11572248_metsmods.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12691834/files/11572248_metsmods.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691834/files/building_1978_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12540258">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12691834">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Graph 4: Publication Types for Heiner Müller's Writings 1978-1988
<p>Graph 4 shows the publication types that Heiner Müller used to publish his writing in the years from 1978-1988.</p>
ERA5-Land selected indicators daily aggregates for the Latin America region, 1978
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 1978.</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>
Northeastern Mountain Ponds Geochemistry Compilation 1978-2019
We compiled geochemical data from published, peer-reviewed sources, gray literature, online datasets, unpublished researcher datasets, and our own data from high-elevation ponds and small lakes. Mountain ponds were defined as lakes and ponds situated at elevation >500 m (460 m in the Berkshires), and ponds surface area <60 ha. Many of our data sets are part of the US EPA LTM (Long-Term Monitoring) Network and its predecessor projects (e.g., Maine HELM, ELS-II, various scoping efforts for LTM), and state data repositories. We queried data providers and EPA staff about mountain ponds datasets in the region. We defined the region of interest (“the northeastern US”) as the Northern Appalachian Region, plus the Adirondack Mountains in New York State, ranging from latitude 42◦–46◦ north and longitude 75◦–69◦ west. We classified ponds into their respective mountain regions within Level II Ecoregion 58 – Northern Highlands, within Eastern Temperate Forest: Western Mountains (Maine’s Mahoosuc and White Mountains, to the terminus of the Appalachian Trail in Baxter State Park); White Mountains (in New Hampshire); Green Mountains (in Vermont); Berkshires (Western Massachusetts), and Adirondacks (in Adirondack Park, NY), to aid in sub-regional comparisons and statistical trend analyses.
Primary production data for Toolik Lake and surrounding lakes near the Arctic LTER site during the summer of 1978
Primary production data for Toolik Lake and surrounding lakes near the Arctic LTER site during the summer of 1978.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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