Digital objects are used to link born-digital or digitized content of archival collections. The data is collected from an archival management or archival preservation system. The data can be used to assess the extent of digitized content of archival collections. Digital Collections can also be accessed at https://a860-collectionguides.nyc.gov/.
Accession / Acquisition data details groups of records that are transferred from City agencies and donors through a records management disposition process. It typically includes the originating agency/donor and a general summary on the content, formats, and size of the collections. Information is also available at: https://a860-collectionguides.nyc.gov/
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Metadata and data derived from Digital Collections - University of Idaho Library. University of Idaho Library Digital Collections provide access to unique materials to enhance and support research and education.
The Golden Agents - SAA Pipeline is a set of data and scripts designed to generate linked open data in RDF format for several datasets for the Golden Agents project. The purpose of this pipeline is to make available as open data various sources of historical information about Amsterdam, such as notary archives, baptism and marriage registers, and burial registries, among others.
This repository contains the scripts and data-(pointers) for the Golden Agents project's SAA (StadsArchief Amsterdam) pipeline that converts historical archival data from the Amsterdam City Archives into Linked Open Data (LOD/RDF) in the Golden Agents Archival Ontology ROAR++. The data is part of the Golden Agents research infrastructure.
The materials in this repository are for three datasets:
The pipeline processes EAD files of relevant archive's collections and data downloaded from the archives' open data endpoint (in A2A-format), or a custom format. The result is a collection of RDF TriG files that can be loaded into a triplestore.
Addendum v1.1:
This newer release also contains the HTR Annotation files (`ga_saa_htr_2022.zip`) as processed by https://github.com/knaw-huc/golden-agents-htr. Among others this includes (Web) Annotations that tag/classify probate inventory items in the HTR'ed material by the SAA.
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The Civil Rights Data Collection (CRDC), formerly administered as the Elementary and Secondary School Civil Rights Survey, is an important part of the U.S. Department of Education's (Department) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in the nation’s public school districts and schools. The CRDC collects a variety of information including student access to rigorous courses, programs, resources, instructional and other school staff, and school climate factors such as student discipline and harassment and bullying. Much of the data is disaggregated by race/ethnicity, sex, disability and whether students are English Learners.Since the 2011–12 school year, OCR has collected data from all public districts and their schools in the 50 states and Washington, DC. Over time the CRDC’s collection universe has grown to include long-term secure justice facilities, charter schools, alternative schools, and special education schools that focus primarily on serving students with disabilities. OCR added the Commonwealth of Puerto Rico to the CRDC, beginning with the 2017-18 CRDC. From 1968 to 2010, civil rights data were collected from a sample of public districts and their schools, except for the 1976 and 2000 collections, which included data from all public schools and districts.The purpose of the CRDC Archival Download Tool (Archival Tool) is to make the Department’s civil rights data from 1968 to 1998 publicly available. The Archival Tool organizes civil rights data by year, and provides users with access to the data, survey forms, and other relevant documentation. The tool also includes documentation on key historical CRDC data changes from 1968 to 1998. Users may extract district-level civil rights data.Important Consideration: Past collections and publicly released reports may contain some terms that readers may consider obsolete, offensive and/or inappropriate. As part of the Department’s goal to be open and transparent with the public, we are providing access to all civil rights data in its original format.Privacy notice:The Department of Education’s Disclosure Review Board determined that the CRDC files for 1968-1998 are safe for public “re-release” under the Family Educational Rights and Privacy Act (FERPA) (20 U.S.C. § 1232g; 34 CFR Part 99).
This reflects a collection of tabular, geospatial and textual information from 3 CD-ROMs published in 1995 and 1996 from the USGS in support of the 1995 National Oil and Gas Assessment Project. This includes USGS DDS Series 30, 35 and 36. This collection was available online through various web platforms hosted by USGS Central Energy Resources Science Center / Central Energy Team since initial recovery from the CD's in early 2000's. This contains the data collection from the original data archives. Over 11,000 files are part of this collection, with 1,524 shapefiles, 648 PDFs and 189 Tab-delimited data files. Limited qa/qc was performed on this due to time constraints and acknowledging that this is a representation of a product over 20 years old.
This archive publishes and preserves short and long-term research data collected from studies funded by:Forest Service Research and Development (FS R&D)Joint Fire Science Program (JFSP)Aldo Leopold Wilderness Research Institute (ALWRI)Of special interest, our collection includes data from a number of Forest Service Experimental Forests and Ranges.Each archived data set (i.e., "data publication") contains at least one data set, complete metadata for the data set(s), and any other documentation the researcher deemed important to understanding the data set(s). The data catalog entries present the metadata and a link to the data. In some cases the data link is to a different archive.
This dataset redirects interested users to the site on USAID's public facing web site that houses the IT Policies Archive. The Archive is published in accordance with direction from the Office of Management and Budget for the August 2015 Integrated Data Collection.
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Abstract: This zip-file contains all relevant research data from ArchivalGossip.com. This digital project is made up of a Wordpress-site (archivalgossip.com) and an Omeka-collection (archivalgossip.com/collection). Their shared theme is the investigation of the role of gossip in nineteenth-century life-writing and print culture. This data collection includes PDFs of all relevant posts and .csv files for all items in the two collections: 1) Cushmania (relating to the career of actress Charlotte Cushman), and 2) Gossip Columns and Columnists (concerning the rise of gossip in nineteenth-century journalism). Both collections consist largely of digitized versions of archival material, such as letters and newspaper articles, their descriptive metadata, and transcripts of their contents.
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The aim of this paper is to investigate the re-use of research data deposited in digital data archive in the social sciences. The study examines the quantity, type, and purpose of data downloads by analyzing enriched user log data collected from Swiss data archive. The findings show that quantitative datasets are downloaded increasingly from the digital archive and that downloads focus heavily on a small share of the datasets. The most frequently downloaded datasets are survey datasets collected by research organizations offering possibilities for longitudinal studies. Users typically download only one dataset, but a group of heavy downloaders form a remarkable share of all downloads. The main user group downloading data from the archive are students who use the data in their studies. Furthermore, datasets downloaded for research purposes often, but not always, serve to be used in scholarly publications. Enriched log data from data archives offer an interesting macro level perspective on the use and users of the services and help understanding the increasing role of repositories in the social sciences. The study provides insights into the potential of collecting and using log data for studying and evaluating data archive use.
This data collection constitutes a portion of the historical data collected by the project "Early Indicators of Later Work Levels, Disease, and Death." With the goal of constructing datasets suitable for longitudinal analyses of factors affecting the aging process, the project is collecting military, medical, and socioeconomical data on a sample of white males mustered into the Union Army during the Civil War. The project seeks to examine the influence of environmental and host factors prior to recruitment on the health performance and survival of recruits during military service, to identify and show relationships between socioeconomic and biomedical conditions (including nutritional status) of veterans at early ages and mortality rates from diseases at middle and late ages, and to study the effects of health and pensions on labor force participation rates of veterans at ages 65 and over. This installment of the collection, Version M-5, supersedes any previous version of these data. Collected in this version are data from military service, pension, and medical records of veterans who were originally mustered into the Union Army in California, Connecticut, Delaware, District of Columbia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New Mexico, New York, Ohio, Pennsylvania, Vermont, West Virginia, and Wisconsin regiments. Also included are data from a 20-company pilot sample and information on recruits whose pension records were stored at the Veterans Administration (VA) Archives in Washington, DC, but had not been collected previously. Data include date and place of birth, place of residence, marital status, number of children, occupation, wealth and income, muster place and date, length of service, battles fought, medical experiences (e.g., illness, wounds, and hospital stays), health status, pension information, and date, place, and cause of death. Additional variables provide the place and date of birth of the recruits' wives, children, and parents. The data are organized into three sections according to state of enlistment. Section 1 (Parts 1, 2, 3, and 4) contains data from New England, Kansas, Missouri, Minnesota, Iowa, New Jersey, Indiana, Wisconsin, California, New Mexico, and the 20-company pilot sample. Section 2 (Parts 5, 6, 7, and 8) contains data from New York, Michigan, Washington, DC, Delaware, Kentucky, Maryland, and West Virginia, along with pensions data from the VA Archives. Section 3 (Parts 9, 10, 11, and 12) contains data from Ohio, Pennsylvania, and Illinois. The variables in Part 13, Linkage Data, indicate which major document sources were located for each recruit. Also, provided is information regarding death dates (Part 14) for individuals whose death records came from the pension payout cards. Approximate date of death was determined by examining the last record of payment to the pensioner.
The Clinical Questions Collection is a repository of questions that have been collected between 1991 – 2003 from healthcare providers in clinical settings across the country. The questions have been submitted by investigators who wish to share their data with other researchers. This dataset is no-longer updated with new content. The collection is used in developing approaches to clinical and consumer-health question answering, as well as researching information needs of clinicians and the language they use to express their information needs. All files are formatted in XML.
This collection contains the archival data of the project "Metrical prominence - Scales and Structures(A07)", which is a part of the Collaborative Research Centre (CRC 1252): Prominence in Language. The main aim of this project is to explore the relationship between semantic-pragmatic and prosodic properties of words on the basis of metrical strength relations. Production and perception experiments will test the influence of (i) utterance-external factors that serve to boost or inhibit the prominence value of a word and (ii) the utterance-internal prosodic context in order to shed light on the interdependence between prenuclear and nuclear accents in the rhythmic organization of German utterances. For a brief introduction to the project, see http://sfb1252.uni-koeln.de/a07.html.
This archive publishes and preserves short and long-term research data collected from studies funded by:
Each archived data set (i.e., 'data publication') contains at least one data set, complete metadata for the data set(s), and any other documentation the researcher deemed important to understanding the data set(s). The data catalog entries present the metadata and a link to the data. In some cases the data link is to a different archive.
The U.S. Geological Survey (USGS) Coastal and Marine Geology Program has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continuous profiles up to 25 meters long. As part of the National Geological and Geophysical Data Preservation Program (https://datapreservation.usgs.gov/), and in collaboration with the Bureau of Ocean Energy Management, Marine Minerals Program, scientists at the USGS St. Petersburg Coastal and Marine Science Center were converting the analog paper records to digital format using a large-format continuous scanner. The image files created by scanning were further processed to fix distortions and crop out blank spaces to create industry standard Society of Exploration Geophysicists date exchange (SEG-Y) format. This data release serves as an archive of HRSP profiles annotated with header information, converted SEG-Y files, navigation data, and cruise trackline shapefiles. The HRSP data were collected using a minisparker/hydrophone system onboard the research vessel Gyre and a Huntec boomer seismic system onboard research vessels (R/V) Carancahua and Kit Jones. Data collection dates and locations varied between surveys: (1) R/V Carancahua (legs 1 and 2) surveys were conducted July 1–15, 1981, within Chandeleur and Mississippi Sounds, (2) the R/V Gyre 81-6 cruise occurred April 9–23, 1981, in the Gulf of Mexico (south of Mississippi and east of Louisiana), (3) R/V Kit Jones 90 (legs 1 and 2) data were acquired from Mississippi Sound and the Gulf of Mexico (south of Mississippi and Alabama) June 21–27, 1990, and (4) R/V Kit Jones 91-2 HRSP data came from Mississippi Sound (south of Alabama) and the Gulf of Mexico (south of Alabama and Florida) from July 10 to 11 and July 21–27, 1991. Data collection and processing methods are described in USGS Data Series 1047.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1ahttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1a
Vision-1 provides very high resolution optical products, with 87cm resolution in Panchromatic mode and 3.48m in Multispectral Mode. Products are in DIMAP format; the image is in GeoTiff format with 16 bit encoding; the applied geographical projection is WGS84 UTM. Spectral band combination options: Panchromatic (PAN): includes data contained within a single high resolution black and white band, with product pixel size of 0.87m Multispectral (MS4): includes four multispectral (colour) bands: Blue, Green, Red and Near Infrared. The product pixel size is 3.48m Bundle (BUN): provides both the 4-band multispectral, and the panchromatic data from the same acquisition in a single, non-merged product. Data is provided as 16-bit GeoTiffs with pixel sizes of 3.48m and 0.87m for MS and PAN data respectively Pansharpened (PSH): single higher resolution 0.87 colour product obtained by the combination of the visual coloured information of the multispectral data with the details provided in the panchromatic data. Two different geometric processing levels are: Projected (level 2): The product is mapped onto the Earth cartographic system using a standard reference datum and projection system at a constant terrestrial altitude, relative to the reference ellipsoid. By default, the map projection system is WGS84/UTM. The image is georeferenced without the application of a Digital Elevation Model (DEM) and supplied with the RPC model file. Pansharpened are not available as projected product Standard Ortho (level 3): georeferenced image in Earth geometry, including the application of a Airbus World DEM for Ortho and GCPs (using Airbus Intelligence One Atlas BaseMap as reference). The orthorectification procedure eliminates the perspective effect on the ground (excluding buildings) to restore the geometry of a vertical shot. Only the basic radiometric processing is available providing the radiance value. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.
State level COVID-19 metrics. As of 6/1/2023 this data set is no longer being updated. The COVID-19 Data Report is posted on the Open Data Portal every day at 3pm. The report uses data from multiple sources, including external partners; if data from external partners are not received by 3pm, they are not available for inclusion in the report and will not be displayed. Data that are received after 3pm will still be incorporated and published in the next report update. The cumulative number of COVID-19 cases (cumulative_cases) includes all cases of COVID-19 that have ever been reported to DPH. The cumulative number of COVID_19 cases in the last 7 days (cases_7days) only includes cases where the specimen collection date is within the past 7 days. While most cases are reported to DPH within 48 hours of specimen collection, there are a small number of cases that routinely are delayed, and will have specimen collection dates that fall outside of the rolling 7 day reporting window. Additionally, reporting entities may submit correction files to contribute historic data during initial onboarding or to address data quality issues; while this is rare, these correction files may cause a large amount of data from outside of the current reporting window to be uploaded in a single day; this would result in the change in cumulative_cases being much larger than the value of cases_7days. On June 4, 2020, the US Department of Health and Human Services issued guidance requiring the reporting of positive and negative test results for SARS-CoV-2; this guidance expired with the end of the federal PHE on 5/11/2023, and negative SARS-CoV-2 results were removed from the List of Reportable Laboratory Findings. DPH will no longer be reporting metrics that were dependent on the collection of negative test results, specifically total tests performed or percent positivity. Positive antigen and PCR/NAAT results will continue to be reportable.
In June of 1994 and August and September of 1995, the U.S. Geological Survey, in cooperation with the University of Texas Bureau of Economic Geology, conducted geophysical surveys of the Sabine and Calcasieu Lake areas and the Gulf of Mexico offshore eastern Texas and western Louisiana. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, observers' logbooks, GIS information, and formal FGDC metadata. In addition, a filtered and gained GIF image of each seismic profile is provided. The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU). Examples of SU processing scripts and in-house (USGS) software for viewing SEG-Y files (Zihlman, 1992) are also provided. Processed profile images, trackline maps, navigation files, and formal metadata may be viewed with a web browser. Scanned handwritten logbooks and Field Activity Collection System (FACS) logs may be viewed with Adobe Reader. For more information on the seismic surveys see http://walrus.wr.usgs.gov/infobank/g/g194gm/html/g-1-94-gm.meta.html and http://walrus.wr.usgs.gov/infobank/g/g195gm/html/g-1-95-gm.meta.html These data are also available via GeoMapApp (http://www.geomapapp.org/) and Virtual Ocean ( http://www.virtualocean.org/) earth science exploration and visualization applications.
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The data consist of 150 bp paired-end Illumina sequencing reads from chromatin conformation assay of 5 archival eastern water dragon (Intellagama lesueurii lesueurii) specimens and whole genome sequencing of three contemporary specimens. The archival specimens, collected between 1905 and 2001, were spirit-preserved and formalin-exposed. Archival liver tissue was dissected and subjected to MNase treatment heavily optimised for archival tissues. The contemporary specimens had been euthanised due to injury in accordance with Queensland Department of Environment and Sciences permit WA0038029 (Australian Ethics Committee number ANA20161, University of Sunshine Coast). From these fresh specimens, we extracted approximately 5 mg of liver tissue per specimen with the Qiagen AllPrep kit. The extracted or enriched DNA was then prepared for sequencing using an IDT xGEN Prism library prep kit.
The data were generated as part of a collaboration with Celine Frere at the University of Queensland.
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Unique values and counts of metadata subject fields.
Digital objects are used to link born-digital or digitized content of archival collections. The data is collected from an archival management or archival preservation system. The data can be used to assess the extent of digitized content of archival collections. Digital Collections can also be accessed at https://a860-collectionguides.nyc.gov/.