SAMSN7L3GRIDT is the Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 3 Gridded Retrieval Temperature Data Product. The Earth's surface is divided into 2.5 deg latitude by 10 deg longitude grids that extend from 50 deg South to 67.5 deg North. The data are stored in two different record types. The first contains temperatures at all 62 retrieved pressure levels between 246 and 0.0012 mbar, and the second contains temperature and error values at 10 standard pressure levels: 100, 30, 10, 3, 1, 0.3, 0.1, 0.03, 0.01 and 0.003 mbar. The data were recovered from the original magnetic tapes, and are now stored online as daily files in their original proprietary binary format.

The data for this product are available from 24 December 1978 through 9 June 1983. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University.

This product was previously available from the NSSDC with the identifier ESAD-00016 (old ID 78-098A-02B).

Coups d'Ètat are important events in the life of a country. They constitute an important subset of irregular transfers of political power that can have significant and enduring consequences for national well-being. There are only a limited number of datasets available to study these events (Powell and Thyne 2011, Marshall and Marshall 2019). Seeking to facilitate research on post-WWII coups by compiling a more comprehensive list and categorization of these events, the Cline Center for Advanced Social Research (previously the Cline Center for Democracy) initiated the Coup d’État Project as part of its Societal Infrastructures and Development (SID) project. More specifically, this dataset identifies the outcomes of coup events (i.e., realized, unrealized, or conspiracy) the type of actor(s) who initiated the coup (i.e., military, rebels, etc.), as well as the fate of the deposed leader. Version 2.2.0 adds 94 additional coup events. 66 of these came from examining Powell and Thyne’s “discarded” events and 28 of these events were added to the data set in the normal annual review of potential new coup events. This version also updates the coding to events in Brazil in 1945 and the Congo in 1968. Version 2.1.3 adds 19 additional coup events to the data set, corrects the date of a coup in Tunisia, and reclassifies an attempted coup in Brazil in December 2022 as a conspiracy. Version 2.1.2 added 6 additional coup events that occurred in 2022 and updated the coding of an attempted coup event in Kazakhstan in January 2022. Version 2.1.1 corrected a mistake in version 2.1.0, where the designation of “dissident coup” had been dropped in error for coup_id: 00201062021. Version 2.1.1 fixed this omission by marking the case as both a dissident coup and an auto-coup. Version 2.1.0 added 36 cases to the data set and removed two cases from the v2.0.0 data. This update also added actor coding for 46 coup events and added executive outcomes to 18 events from version 2.0.0. A few other changes were made to correct inconsistencies in the coup ID variable and the date of the event. Version 2.0.0 improved several aspects of the previous version (v1.0.0) and incorporated additional source material to include: • Reconciling missing event data • Removing events with irreconcilable event dates • Removing events with insufficient sourcing (each event needs at least two sources) • Removing events that were inaccurately coded as coup events • Removing variables that fell below the threshold of inter-coder reliability required by the project • Removing the spreadsheet ‘CoupInventory.xls’ because of inadequate attribution and citations in the event summaries • Extending the period covered from 1945-2005 to 1945-2019 • Adding events from Powell and Thyne’s Coup Data (Powell and Thyne, 2011) Version 1.0.0 was released in 2013. This version consolidated coup data taken from the following sources: • The Center for Systemic Peace (Marshall and Marshall, 2007) • The World Handbook of Political and Social Indicators (Taylor and Jodice, 1983) • Coup d’Ètat: A Practical Handbook (Luttwak, 1979) • The Cline Center’s Social, Political and Economic Event Database (SPEED) Project (Nardulli, Althaus and Hayes, 2015) • Government Change in Authoritarian Regimes – 2010 Update (Svolik and Akcinaroglu, 2006)
Items in this Dataset 1. Cline Center Coup d'État Codebook v.2.2.0 Codebook.pdf - This 17-page document describes the Cline Center Coup d’État Project dataset. The first section of this codebook provides a summary of the different versions of the data. The second section provides a succinct definition of a coup d’état used by the Coup d'État Project and an overview of the categories used to differentiate the wide array of events that meet the project's definition. It also defines coup outcomes. The third section describes the methodology used to produce the data. Revised January 2025 2. Coup Data v2.2.0.csv - This CSV (Comma Separated Values) file contains all of the coup event data from the Cline Center Coup d’État Project. It contains 29 variables and 1094 observations. Revised January 2025 3. Source Document v2.2.0.pdf - This 347-page document provides the sources used for each of the coup events identified in this dataset. Please use the value in the coup_id variable to identify the sources used to identify that particular event. Revised January 2025 4. README.md - This file contains useful information for the user about the dataset. It is a text file written in markdown language. Revised January 2025
Citation Guidelines 1. To cite the codebook (or any other documentation associated with the Cline Center Coup d’État Project Dataset) please use the following citation: Peyton, Buddy, Joseph Bajjalieh, Dan Shalmon, Michael Martin, Jonathan Bonaguro, and Scott Althaus. 2025. “Cline Center Coup d’État Project Dataset Codebook”. Cline Center Coup d’État Project Dataset. Cline Center for Advanced Social Research. V.2.2.0. Janurary 30. University of Illinois Urbana-Champaign. doi: 10.13012/B2IDB-9651987_V8 2. To cite data from the Cline Center Coup d’État Project Dataset please use the following citation (filling in the correct date of access): Peyton, Buddy, Joseph Bajjalieh, Michael Martin, Sam Alahi, Norah Fadell, and Maddie Jeralds. 2025. Cline Center Coup d’État Project Dataset. Cline Center for Advanced Social Research. V.2.2.0. Janurary 30. University of Illinois Urbana-Champaign. doi: 10.13012/B2IDB-9651987_V8

SAMSN7L1RAT is the gridded Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 1 Radiance Data Product. The radiances were selected to derive gas concentrations at the wavelength bands 15 (CO2), 25-100 (H2O) 4-5 (CO and NO), and 7.7 (N2O and CH4) microns in the stratosphere and mesosphere, with a vertical resolution of 10 km. The instrument scanned the vertical from about 15 km to 140 km. The data were recovered from the original magnetic tapes, and are now stored online as orbit files in their original proprietary binary format each with about 14 orbits per day.

The data for this product are available from 26 October 1978 through June 9 1983. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University. This product was subsequently used to create the SAMS/Nimbus-7 Level 1 Radiance Data from CD-ROM product (SAMSN7L1RAD_CDROM), a set of 53 CD-ROMs.

Species occurrence records for native and non-native bees, wasps and other insects collected using mainly pan, malaise, and vane trapping; and insect netting methods in Canada, Mexico, the non-contiguous United States, U.S. Territories (specifically U.S. Virgin Islands), U.S. Minor Outlying Islands and other global locations with the bulk of the specimens coming from the Eastern United States often from Federal lands such as USFWS, NPS, DOD, USFS. Some records also contain notes regarding plants or substrates from which insects were collected or that were present and/or in flower at the time the insects were collected. Unless otherwise noted, taxonomic determinations (identifications) were completed by Sam Droege (USGS Eastern Ecological Science Center- EESC, Native Bee Laboratory) and Clare Maffei (USFWS, Inventory and Monitoring Branch).

The EESC Native Bee Lab currently keeps only a small synoptic collection, rare and voucher specimens are deposited in the Smithsonian National Collection (NMNH) and widely distributed to other institutions for DNA, revisions, and augmentation of existing collections. Surplus specimens are also made available to students to learn their identifications. Corrections to any of our determinations are always welcomed. Common species that are not in demand for surplus are usually destroyed and the pins recycled. Recent revisions to Lasioglossum, Ceratina, and to a much lesser extent Triepeolus and Epeolus and other small groups have rendered determinations prior to those revisions out of date for species involved in name changes and users should account for that during analyses. Current data (included information on specimen codes without identifications) are always available without charge directly from Sam Droege.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Climate Reconstruction. The data include parameters of climate reconstructions|tree ring with a geographic location of Southern Hemisphere. The time period coverage is from 541 to -57 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

The disaggregated Egypt Social Accounting Matrix (SAM) was constructed for 1997 for an analysis of Egypt’s food subsidy system. It has 28 productive sectors (activities), 36 commodities, 10 households, 5 factors, a government account and a rest-of-the-world account. The SAM has a detailed treatment for agriculture, there are 14 agricultural sectors producing 22 agricultural commodities. Bread and flour are two commodities that are subsidized in Egypt. The SAM accounts for these commodities and splits them into subsidized and unsubsidized, a treatment that facilitates the analysis of food subsidy issues. The SAM also differentiates between urban and rural households by quintiles, allowing welfare, inequality and poverty analysis. In addition to land, the SAM distinguishes between agricultural and nonagricultural labor and capital. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 48 (PDF 220K).

The aggregated Egypt Social Accounting Matrix (SAM) was constructed for 1997 and has 14 sectors, 10 households, 4 factors, a government account and a rest-of-the-world account. There are 6 agricultural sectors, 4 manufacturing sectors, with the rest as service sectors. The agricultural sectors are: food crops, rice, other food crops, fruits and vegetables, cotton, and animal agriculture. The manufacturing sectors are: food processing, oil, textiles, and other manufacturing. The remaining service sectors are: electricity, construction, government sectors, and other services. The SAM differentiates between urban and rural households by quintiles, allowing welfare, inequality and poverty analysis. In addition to land and capital, the SAM distinguishes between agricultural and nonagricultural labor. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 78: (PDF 136K)

SAMSN7L3ZMTG is the Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 3 Zonal Means Composition Data Product. The Earth's surface is divided into 2.5-deg latitudinal zones that extend from 50 deg South to 67.5 deg North. Retrieved mixing ratios of nitrous oxide (N2O) and methane (CH4) are averaged over day and night, along with errors, at 31 pressure levels between 50 and 0.125 mbar. Because the N2O and CH4 channels cannot function simultaneously, only one type of measurement is made for any nominal day. The data were recovered from the original magnetic tapes, and are now stored online as one file in its original proprietary binary format.

The data for this product are available from 1 January 1979 through 30 December 1981. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University.

This product was previously available from the NSSDC with the identifier ESAD-00180 (old ID 78-098A-02C).

BackgroundSevere acute malnutrition (SAM) poses a significant threat to child health globally, particularly in low- and middle-income countries. Zambia, like many Sub-Saharan African nations, faces high rates of child malnutrition, with SAM contributing significantly to under-five mortality. Therefore, this study aimed to determine the prevalence and factors associated with SAM.MethodsThis retrospective cross-sectional study was conducted at Livingstone University Teaching Hospital in Zambia (LUTH). SAM was defined according to the World Health Organization (WHO) criteria as either weight-for-height less than -3 standard deviations, mid-upper arm circumference (MUAC) less than 115 mm, or presence of bilateral pitting edema in children between 6 months and 5 years old who were attended to between 2020 and 2022. Data abstraction from pediatric patient records was conducted between August 2023 and January 2024. The records without the age and outcome variable were excluded. A total of 429 participants between 6 months and 5 years old were included, with demographic, clinical, and hematological parameters analyzed. Univariable and multivariable logistic regression were employed to investigate factors associated with SAM.ResultsOverall, 429 medical records were included in the study and the prevalence of SAM was 27.0% (n = 116). Age group 6–24 months (Adjusted Odds Ratio [AOR]: 11.60; 95% Confidence Interval [CI]: 3.34–40.89, p

The focus of this deployment is the collection of multiple acoustic datasets and water column parameters to be used toward assisting fish stock assessments.

The National Centers for Environmental Information (NCEI) received the data in this archival package from the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC). The IOOS NGDAC received the data in one or more netCDF files comprising an entire glider deployment. The data are measurements of physical oceanographic properties such as temperature, salinity, conductivity, and density. The IOOS NGDAC checked the files for compliance to their netCDF file convention, aggregated the files into a single netCDF file, and then submitted the file to NCEI for long-term preservation.