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3,101 results for “Historical”
SAFARI 2000 Historical Fire Maps, Kruger National Park, 1992-2001
Kruger National Park (KNP) was established in 1898 to protect wildlife on nearly 2 million hectares of the South African Lowveld. The climate in this region of South Africa is subtropical, with hot summers and warm, dry winters. Summer rains fall between October and March.Savanna fires are common in the South African Lowveld during the dry season. The two primary sources of fire ignition, historically and currently, are human activity and lightning.This data set contains a record of all fires observed in the Kruger National Park for each of the 10 fire years from 1992 to 2001. The data were compiled from various sources, including old fire records in hardcopy and vector form, as well as satellite imagery. The data product consists of a polygon map (GIS shapefile format) of Kruger National Park and a cross-referenced database of fire information associated with all mapped units. The fire information includes the date and time when the fire started (if known); the cause of the fire; the person, group or phenomenon (e.g. lightning) that started the fire; the purpose for which the fire was lit (if relevant); an estimate of the fire intensity aggregated over the whole fire; the extent of the area burnt in hectares; and the perimeter of the area burnt in kilometers. The database file can be viewed with a text editor and can also be imported into common spreadsheet applications.
LBA-ECO LC-31 Historical Land-Use in the Amazon: 1940-1995
This data set provides annual spatial patterns of cropland, natural pasture, and planted pasture land uses across Amazonia for the period 1940/1950-1995. Two series of 5-minute grid cell historical maps were generated starting from land use classification products for 1995. Annual data are the fraction of natural pasture, planted pasture, and cropland in each 5-min grid cell. The annual maps are provided in two NetCDF (.nc) format file at 5-minute resolution. The AMZ-C.nc file covers the Brazilian portion of Amazon and Tocantins Rivers basins, and is based on the 1995 land use classification of Cardille et al. (2002), generated through the fusion of remote sensing (AVHRR) and agricultural census data. The second file, AMZ-R.nc, covers the entire Legal Amazon region and adjacent areas and is based on the 1995 land use classification by Ramankutty et al. (2008). The land use classification was generated by the fusion of satellite imagery (MODIS and VEGETATION-SPOT) and data from the agricultural census. A historical land-use reconstruction algorithm was used to generate the annual spatial patterns (based on work from Ramunkutty and Foley, 1999).
LBA Regional Historical Croplands, 5-min, 1900-1992 (Ramankutty and Foley)
This data set is a subset of a global croplands data set (Ramankutty and Foley 1999a). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10° N to 25° S, 30° to 85° W). The data are in ASCII GRID format at 5-min resolution.Navin Ramankutty and Jonathan Foley, of the Center for Sustainability and the Global Environment (SAGE) at the University of Wisconsin, developed a global, spatially explicit data set of reconstructed historical croplands from 1700 to 1992. The method for historical reconstruction used a simple algorithm that linked contemporary satellite data and historical cropland inventory data. A spatially explicit croplands data set for 1992 was first derived by calibrating a satellite-derived land cover classification data set against cropland inventory data for 1992. This derived data set was then used within a simple land cover change model, along with historical cropland inventory data, to derive spatially explicit maps of historical croplands. The global data set was restricted to a representation of permanent croplands (i.e., excluding shifting cultivation), which follows the Food and Agriculture Organization (FAO) definition of arable lands and permanent crops. Data values represent fraction of grid cell in croplands.Data for the LBA study area are available for the years 1900, 1910, 1920, 1930, 1940, 1950, 1960, 1970, 1980, 1990, and 1992. Although the global croplands data set contains data representing croplands since 1700, essentially no croplands were in the LBA study area until 1900. Data from previous years were excluded at the suggestion of the data originator.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/historical_croplands/comp/uwcrop_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.
Historic Daily Meteorology Data (FIFE)
The FIFE Historic Daily Meteorology Data Data Set is one of the historical data sets used for the FIFE project. The data set contains data back to January, 1900. This data set was prepared for input into models, therefore, no leap days (February 29) are included. Daily weather observations of air temperature and precipitation were made by Kansas State University. The observations are made according to the procedures outlined by the National Weather Service (Anonymous 1989).
ISLSCP II Historical Land Cover and Land Use, 1700-1990
The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period.
Historical Arctic and Antarctic Surface Observational Data, Version 1
This product consists of meteorological data from 105 Arctic weather stations and 137 Antarctic stations, extracted from the National Climatic Data Center (NCDC)'s Integrated Surface Hourly (ISH) database. Variables include wind direction, wind speed, visibility, air temperature, dew point temperature, and sea level pressure. Temporal coverage varies by station, with the earliest record in 1913 and the latest in 2002. Data are in tab-delimited ASCII text format, with one file per station and year. Graphs of meteorological variables throughout the time series accompany the ASCII data.
LBA-ECO LC-24 Historical Roads of the Legal Amazon: 1968-1993
Understanding the impact of road investments on deforestation is part of a complete evaluation of the expansion of infrastructure for development.We find evidence of spatial spillovers from roads in the Brazilian Amazon: deforestation rises in the census tracts that lack roads but are in the same county as and within 100 km of a tract with a new paved or unpaved road. At greater distances from the new roads the evidence is mixed, including negative coefficients of inconsistent significance between 100 and 300km, and if anything, higher neighbor deforestation at distances over 300 km.
Historic Monthly Meteorology Data (FIFE)
The FIFE Historic Monthly Meteorology Data Data Set is one of the historical data sets used for the FIFE project. This data set provides monthly precipitation values from January 1858 to December 1989 for Manhattan, Kansas adjacent to the FIFE study area. Daily weather observations of precipitation were made according to the procedures outlined by the National Weather Service by Kansas State University. The daily precipitation data were then summed to produce monthly precipitation.
GHRSST Level 4 OSTIA Global Historical Reprocessed Foundation Sea Surface Temperature Analysis produced by the UK Meteorological Office
The Operational Sea Surface Temperature and Sea Ice Analysis Reprocessed (OSTIA-REP) is a GHRSST reprocessed Level-4 sea surface temperature and ice-concentration analysis produced by the UK Met Office (UKMO) using optimal interpolation (OI) on a global 0.05 degree grid. It is a sister product of the Near Real Time version (OSTIA-NRT), but incorporates satellite data from over 25 different SST sensors as well as in situ data from drifting and moored buoys. The OSTIA-REP is produced on a biannual frequency when more satellite and climatology observations are available from existing geostationary IR, and polar orbiting IR and MW satellites in addition to the data used in OSTIA-NRT. <br><br>While OSTIA-NRT is produced to mainly serve as a lower boundary condition in Numerical Weather Prediction (NWP) models, this OSTIA-REP aims to provide a more accurate and consistent record of SST measurements over time, which is crucial for detecting long-term climate trends and variability. Both versions follow GHRSST Data Processing Specification (GDS) version 2 format guidelines.<br><br>Data to June 2022 are also distributed through the E.U. Copernicus Marine Service Information (https://marine.copernicus.eu/, DOI: https://doi.org/10.48670/moi-00168 with the following license). Please refer to the user guide for more information.
Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer
GEO Series GSE284793. Homo sapiens. 17 samples. Type: Expression profiling by high throughput sequencing.
Figure 1 from: Cocquyt C, Lokele Ndjombo E, Tutu Tsamemba S, Nshimba Seya wa Malale H (2019) Freshwater diatoms in the Democratic Republic of the Congo: a historical overview of the research and publications. PhytoKeys 136: 107-125. https://doi.org/10.3897/phytokeys.136.47386
Figure 1 Number of new diatom taxa (specific and infraspecific) described from DR Congo per decade.
161 samples from historical bug fixes dataset
<p>161 bugs and corresponding patches from historical bug fixes dataset that fulfill following criteria:</p> <ul> <li>Unique</li> <li>Satisfy redundancy assumption at file level</li> <li>Fixed by applying replacement mutation</li> <li>Require fixing at expression level</li> <li>Having available project and dependency files</li> </ul>
IO Islamic 852. Extracts from Historical Works
<p>IO Islamic 852. Extracts from Historical Works</p>
Fig. 2. Phylogenetic hypothesis generated for 160 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 2. Phylogenetic hypothesis generated for 160 species in Maranhão basins.
Fig. 1 in Historical biogeography of fishes from coastal basins of Maranhão State, northeastern Brazil
Fig. 1. Hydrographic basins of Maranhão State.
IO Islamic 370. Miscellaneous Tracts, Historical and Statistical Accounts
<p>IO Islamic 370. Miscellaneous Tracts, Historical and Statistical Accounts</p>
IO Islamic 2682. A Short Historical Account of Seringapatan
<p>IO Islamic 2682. A Short Historical Account of Seringapatan</p>
Figure 2. CuA and M in A historical overview of the classification of the Neotropical tribe Zammarini (Hemiptera, Cicadidae) with a key to genera
Figure 2. CuA and M veins arising together (left) or separate (right) from the basal cell.
Figure 4 from: Aldea C, Novoa L, Alcaino S, Rosenfeld S (2020) Diversity of benthic marine mollusks of the Strait of Magellan, Chile (Polyplacophora, Gastropoda, Bivalvia): a historical review of natural history. ZooKeys 963: 1-36. https://doi.org/10.3897/zookeys.963.52234
Figure 4 Species richness by quadrant in the Strait of Magellan.
Supplemental material for "The influence of temperature on the seasonality of historical plague outbreaks"
<p>This repository provides the code and raw data for the project. </p>
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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.