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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/2315/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2315/terms
The National Postsecondary Student Aid Survey (NPSAS) provides information on how postsecondary student financial aid is targeted, received, and used. A significant component of the NPSAS is the Student Loan Recipient Transcript Survey, which collected postsecondary-school transcripts for Guaranteed Student Loan (GSL) recipients who were surveyed in the Student Loan Recipient Survey (SLRS, Part 4). This component provides the means to analyze basic policy issues such as relationships between educational activities and ability to cope with indebtedness, and the patterns of student loan repayment or default. The Transcript Survey data cover 11,847 students, 12,213 transcripts, and 1,412 schools and are organized into four categories, consisting of data at the student (Part 5), transcript (Part 7), term (Part 6), and course (Part 2) levels. At least one student-level and one transcript-level record exist for each sample member for whom a transcript was requested, even if the school in question reported that an individual had never attended or had withdrawn before establishing a formal record of attendance. Student-level data (Part 5) provide general information about the respondent's academic career. Each record is given a case ID code, allowing the merger of transcript data and other files, sampling weights, and data that summarize information found on transcripts from all postsecondary schools attended as well as selected items from Part 4, the Student Loan Recipient Survey data files. Transcript-level records (Part 7) contain data pertaining to the student's academic record at a single institution, including the school ID code, degree or other credentials conferred with accompanying dates, major and minor field(s) of study, and the student's cumulative grade-point average. Term records (Part 6) contain type of term (quarters, trimesters, and semesters), season of occurrence, start and end dates, grade-scale type, the number of courses corresponding to a given term, and a special flag indicating regular or transfer status for the term. Included in term type is a code that signifies credit earned via standardized tests and other life experience. Course-level data (Part 2) include records for every course reported on a transcript. The Student Loan Recipient Survey data (Part 4, Questionnaire Data) contain identifying information about the students such as sex, age, race, citizenship, residence, marital status, and current employment, as well as survey control data, a counter variable for the NPSAS transcripts, and weights. The Composite Data file (Part 1) contains information from the student transcript data in Part 5 and the student questionnaire data in Part 4. It also contains composite variables that combine information from the record abstract done at the institution and the student questionnaire. A Parent Survey (Part 3) was also conducted to collect data on the total number of children in the family, how much respondents spent on clothing, food, and books and supplies for their children, other loans taken out to pay for schooling, when the respondents started saving for their children's college expenses, and what type of savings programs they used.
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This office has established the "Archival Resources for Teaching" (ART) to provide high school teachers with national archival images for teaching materials, integrating archival content and applications into school curricula. The website's theme file browsing statistics are categorized by year and month, and record the number of times the public clicks on various theme files for browsing.
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TwitterTREE AID Activity File
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TwitterThis edition includes Main data, Civil detailed data and Provider contracts data files. A Index of data in legal aid statistics is published as part of the help guides. This provides guidance on the data held in the more detailed data files and how to use them and can be found on help guides page.
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The Automated Insights Dataset (AID) brings metadata from the 200 most downloaded free apps from each of the 32 categories on the Google Play Store, totaling 6400 apps, with information that goes beyond that presented by app stores, also bringing metadata from AppBrain. The User Interface Depth Dataset (UID) brings a high-quality sampling of the AID, and delves into the identification of 7540 components of 50 component types and the capture of 1948 screenshots of the interface of 400 apps. The component set was based on components of Google Material Design and Android Studio.
The datasets can be viewed in the spreadsheets named "Automated Insights Dataset (AID).xlsx" and "User Interface Depth Dataset (UID).xlsx".
The "UID - Screenshots.zip" file contains screenshots of the apps present in the UID, organized in folders by app IDs.
The "Source code of the developed tools.zip" file contains Python codes and complementary files used to collect the datasets.
The "Discarded apps.zip" file contains the apps discarded in the analysis, it presents screenshots of some apps, collected elements and the reasons that led to these apps being discarded.
The "Data explanation.zip" file contains graphical representations of the UID components and textual representations of each data present in the UID and AID, allowing a better understanding of the criteria used.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This file contains detailed data on Irish Aid expenditure in 2016.
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This is a Stata dataset and do files to allow replication of the tests used in the forthcoming Journal of Development Studies paper: Can Information Change Public Support for Aid?Author Terence Wood.Uploaded: 2018
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TwitterThe data file provides information about the International Development Research Centre (IDRC)'s annual forward planning budget and links to key documents such as strategies and reports published on IDRC's website.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Apportionment file 11474750 retrieved from OMB public records
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Dataset used in the paper: Morgan, A. J., Wright, J., Mackinnon, A. J., Reavley, N., Rossetto, A., Long, L., & Jorm, A. Receiving support for mental health problems from family and friends: Measurement and impact on mental health, relationships, and help-seeking.
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TwitterThis zip file contains files of data to support FHWA-JPO-16-370, Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs - San Mateo Testbed Analysis Plan : Final Report. Zip size is 1.5 GB. The files have been uploaded as-is; no further documentation was supplied by NTL. All located .docx files were copied to .pdf document files which are an archival format. These .pdfs were then added to the zip file alongside the original .docx files. The attached zip files can be unzipped using any zip compression/decompression software. These zip file contains files in the following formats: .pdf document files which can be read using any pdf reader; .docx document files which may be opened with Microsoft Word or some other open source document editors; .xlsx spreadsheet files which may be opened with Microsoft Excel or some other open source spreadsheet editors; .syn files are a proprietary file format for signal timing plans which are provided in the Synchro Model given as “El Camino Real Synchro.syn” and can be opened using Trafficware Synchro, which may require users to purchase a license or software (for more information go to http://www.trafficware.com/); .csv data files, an open format, which may be opened with any text editor or in many spreadsheet applications; .db generic database files, often associated with thumbnail images in the Windows operating environment; .rbc files, which are scripts written in Rembo-C, which can be opened in a text editor, but require a server with Rembo installed to run the scripts; .vap audio files which will require special audio editing software to manipulate; .dll dynamically linked files for Windows program operations; .layx, a file type on which we could not locate reliable information; and .inpx files, a file type on which we could not locate reliable information [software requirements]. These files were last accessed in 2017. Files were accessed in 2017. Data will be preserved as is.
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Mercy-USA for Aid and Development Activity File
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TwitterAdditional file 5. Transcripts and the final decision aid prototype.
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TwitterEndorsed and rejected items including the survey round that they were endorsed or rejected. (XLSX 166Â kb)
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Integrated Postsecondary Education Data System (IPEDS) Complete Data Files from 1980 to 2023. Includes data file, STATA data file, SPSS program, SAS program, STATA program, and dictionary. All years compressed into one .zip file due to storage limitations.Updated on 2/14/2025 to add Microsoft Access Database files.From IPEDS Complete Data File Help Page (https://nces.ed.gov/Ipeds/help/complete-data-files):Choose the file to download by reading the description in the available titles. Then, click on the link in that row corresponding to the column header of the type of file/information desired to download.To download and view the survey files in basic CSV format use the main download link in the Data File column.For files compatible with the Stata statistical software package, use the alternate download link in the Stata Data File column.To download files with the SPSS, SAS, or STATA (.do) file extension for use with statistical software packages, use the download link in the Programs column.To download the data Dictionary for the selected file, click on the corresponding link in the far right column of the screen. The data dictionary serves as a reference for using and interpreting the data within a particular survey file. This includes the names, definitions, and formatting conventions for each table, field, and data element within the file, important business rules, and information on any relationships to other IPEDS data.For statistical read programs to work properly, both the data file and the corresponding read program file must be downloaded to the same subdirectory on the computer’s hard drive. Download the data file first; then click on the corresponding link in the Programs column to download the desired read program file to the same subdirectory.When viewing downloaded survey files, categorical variables are identified using codes instead of labels. Labels for these variables are available in both the data read program files and data dictionary for each file; however, for files that automatically incorporate this information you will need to select the Custom Data Files option.
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TwitterSupplementary Material 2: Statements that were presented to the panels and their ratings across 2 rounds of the study
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TwitterAdditional file 1. Guidelines for Chile and Argentina.
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TwitterAutomatically generated IATI XML showing Christian Aid activities. This is a beta version while bugs in the XML generator are being ironed out.
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TwitterThe MCX-CMAC utilizes the standard archival practice of unique naming of collections. The purpose of this is to avoid redundant and confusing collection names commonly found with archaeological investigations. Therefore, this collection is referred to as "Upper Yazoo Project 3A-2.” This naming practice is consistent throughout the finding aid, the file folder titles, and box labels. The linear extent of this collection is four (4) inches. All field and catalog records were duplicated according to the Cobb Institute’s requirements. The copies were also packaged in acid-free folders and labeled identically to the original folders, with the exception of a notation indicating that the folder contains copies. These copies are stored separately from the originals. Four rolls of black and white and color photographs, negatives and prints, were removed from this collection to more appropriate storage. One 3 ½-inch floppy disk was removed from this collection. This disk was received and opened by MCX staff archaeologists. The file “Invyazo.dbf” was converted into Microsoft Excel and printed. Subsequent attempts to open the files on the disk failed. The floppy disk is presently unreadable. The document that was recovered was printed and placed in folder 24, “Electronic Records, Electronic Documents; [Electronic Media Removed]; n.d.”
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