History of Work

Here you find the History of Work resources as Linked Open Data. It enables you to look ups for HISCO and HISCAM scores for an incredible amount of occupational titles in numerous languages.

Data can be queried (obtained) via the SPARQL endpoint or via the example queries. If the Linked Open Data format is new to you, you might enjoy these data stories on History of Work as Linked Open Data and this user question on Is there a list of female occupations?.

NEW version - CHANGE notes

This version is dated Apr 2025 and is not backwards compatible with the previous version (Feb 2021). The major changes are: - incredible simplification of graph representation (from 81 to 12); - use of sdo (https://schema.org/) rather than schema (http://schema.org); - replacement of prov:wasDerivedFrom with sdo:isPartOf to link occupational titles to originating datasets; - etl files (used for conversion to Linked Data) now publicly available via https://github.com/rlzijdeman/rdf-hisco; - update of issues with language tags; - specfication of language tags for english (eg. @en-gb, instead of @en); - new preferred API: https://api.druid.datalegend.net/datasets/HistoryOfWork/historyOfWork-all-latest/sparql (old API will be deprecated at some point: https://api.druid.datalegend.net/datasets/HistoryOfWork/historyOfWork-all-latest/services/historyOfWork-all-latest/sparql ) .

There are bound to be some issues. Please leave report them here.

Figure 1. Part of model illustrating the basic relation between occupations, schema.org and HISCO. https://druid.datalegend.net/HistoryOfWork/historyOfWork-all-latest/assets/601beed0f7d371035bca5521" alt="hisco-basic">

Figure 2. Part of model illustrating the relation between occupation, provenance and HISCO auxiliary variables. https://druid.datalegend.net/HistoryOfWork/historyOfWork-all-latest/assets/601beed0f7d371035bca551e" alt="hisco-aux">

qPCR results for Vitellogenin. This dataset is associated with the following publication: Armstrong, B., J. Lazorchak , K. Jensen , H. Haring , M.E. Smith, R. Flick , D. Bencic , and A. Biales. Reproductive effects in fathead minnows (Pimphales promelas) following a 21 d exposure to 17α-ethinylestradiol. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 144(1): 366-373, (2015).

There are over 400 service requests types that are reported in the 311 system that affect the quality of life of our citizens, neighborhoods, and communities. The most popular service requests include but are not limited to animal services requests, high weeds, junk motor vehicles, and a number of other code compliance-related issues. Requests that deal with streets and mobility such as street and pot hole repair are also very common. 311 also receives requests to address environmental issues such as water conservation and air quality complaints. This dataset represents all Service Request from October 1, 2018 to present.

Dayflow is a computer program developed in 1978 as an accounting tool for determining historical Delta boundary hydrology. It presently provides the best estimate of historical mean daily flows: (1) through the Delta Cross Channel and Georgiana Slough; (2) past Jersey Point; and (3) past Chipps Island to San Francisco Bay (net Delta outflow). The degree of accuracy of Dayflow output is affected by the Dayflow computational scheme and the accuracy and limitations of the input data. The input data include the principal Delta stream inflows, Delta precipitation, Delta exports, and Delta gross channel depletions. Both monitored and estimated values are included as described in this Dayflow program documentation. Currently, flows are not routed to account for travel time through the Delta. All calculations involving inflows, depletions, transfers, exports, and outflow are performed using data for the same day. All Dayflow summary reports distributed through January 1985, providing flow data through August 1984, and data for September 1984 reported herein were generated according to the algorithm described in the Computational Scheme section.

Get valuable legal information effortlessly with APISCRAPY's services – USA Court Data, USA Litigation Data, and US County Legal Data. Our user-friendly offerings include a handy Court Data API, providing you with all the legal details you need for your decision-making.

This dataset covers all publically listed companies in the United States from 2000 to 2018, which are listed in the S&P index. The starting point of 2000 is due to the minimal data available in the BoardEX database before this time in relation to board directors' information. Compustat is the source of financial data. As previous research indicates, financial and utilities firms are excluded from the sample due to their distinct regulations, which expose their directors to liability risks that non-financial firms are not subject to (Adams and Mehran, 2012; Sila et al., 2016). The sample size of non-financial firms amounts to 17,220. Financial variable outliers are adjusted to the 98% level in accordance with Bharath and Shumway's (2008) study.

RAV Network information periodically changes with additions or removal of data and users should confirm that information is current and accurate. The RAV Network Road Tables and RAV Mapping Tool can be found on the Main Roads Western Australia website, refer Hyperlink below.https://www.mainroads.wa.gov.au/heavy-vehicles/Main Roads Open Data: Restricted Access Networkshttps://portal-mainroads.opendata.arcgis.com/pages/hvs-networksUpdate Frequency: WeeklySpatial Coverage: Western AustraliaLegalYou are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Main Roads WA website is the official and current source of RAV Network data.Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material and when you Share your Adapted Material: The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability. Main Roads WA website is the official and current source of RAV Network data.Licensinghttps://creativecommons.org/licenses/by/4.0/legalcode

The Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS) is a survey of 600 deg^2 in five photometric bands - 100, 160, 250, 350 and 500 microns - with the Photoconductor Array Camera and Spectrometer (PACS) and Spectral and Photometric Imaging Receiver (SPIRE) cameras. H-ATLAS DR1 includes the survey of three fields on the celestial equator, covering a total area of 161.6 deg^2 and previously observed in the Galaxy and Mass Assembly (GAMA) spectroscopic survey. The data release main catalogue (HATLAS_DR1_CATALOGUE.FITS) contains only the 'best' candidate ID to each SPIRE source (where available). Most users will find in this catalogue everything they will need for their science purposes. A second catalogue is also available (HATLAS_DR1_CATALOGUE_ALLIDS.FITS), which contains all possible counterparts within the search radius of each SPIRE source, and provides the full LR statistics so that these may be independently analysed as the user wishes. To select only sources which have reliable optical IDs, a cut of Reliability#0.8 is recommended, although other cuts on Reliability or LR may be suitable for different purposes as discussed in Bourne et al. (2016).

One fly to rule them all: all data behind analysesOne fly to rule them all.xlsx

This Dataset contains sub-district wise data for all the indicators related to Family Planning, Maternal Health, and Immunization under HMIS for the Bijapur district of Karnataka. The data is also given at different levels of facilities like Public, Private, Rural and Urban and at different age group levels.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

flow background with lower flow systematic uncertainty Au+Au 20-60%, 3<p_{\text{T}}^{(t)}<4 GeV/c, 1<p_{\text{T}}^{(a)}<2 GeV/c, slice 5

Raw data from survey collected in 2019.

This Dataset contains year, month-wise import data of all commodities at HS level 2 for Japan. It has other details like quantity of export, value of export in Indian Rupees and US Dollars

Data produced by running the Matlab implementation of TDVP-Langevin equation: https://github.com/AndrewHallam/Langevin

See readme for details on how the data is saved. To create plots of this data, select relevant axes from the data saved and use usual Matlab plotting functions. More details of what figures have been produced are in the paper.

United States - Data Processing and Other Purchased Computer Services for Educational Services, All Establishments, Employer Firms (DISCONTINUED) was 519.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Data Processing and Other Purchased Computer Services for Educational Services, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 519.00000 in January of 2017 and a record low of 302.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Data Processing and Other Purchased Computer Services for Educational Services, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on October of 2025.

Combined database of all wells with uniform attributes from detailed individual well databases (see General and Entity Attribute sections of metadata for individual shape files). This dataset is the publicly-accessable version of All Wells. There is another version with some GPS data for certain wells.

About the Dataset
This dataset contains contact and program participation information for all summer meal sites approved by TDA to operate during the 2019 program period. Applications to participate in summer programs open on January 15 and close May 1. Changes in site information can occur through August. Summer meal programs operate mid-May through the end of August.

An overview of all summer meal program data available on the Texas Open Data Portal can be found at our TDA Data Overview - Summer Meal Programs page.

An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page.

More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page.

About Dataset Updates

TDA aims to post new program year data by April 1 of the active program year. Due to the short duration of the summer meal programs, dataset updates will occur every two weeks until the end of August.

All TDA datasets will have a final active update 90 days after the close of the program period. Datasets will be updated at six months and one year from the close of program period before becoming archived. Any data posted during the active update schedule is subject to change.

New Data Fields Available!

CE and site status (active/inactive), termination status, termination as of date, and CE application cycle (new/renewal) are now available on this dataset. These fields have been added to the last columns of the report and data descriptions have been added to the column metadata.

A detailed list of TDA Food and Nutrition datasets and data fields available on the Texas Open Data Portal can be downloaded as a PDF here.

About the Agency
The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs and the Child and Adult Care Food Program (CACFP). TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles.

For more information on these programs, please visit us at SquareMeals.org.

This Dataset contains year, month-wise export data of all commodities at HS level 2 for Mayotte. It has other details like quantity of export, value of export in Indian Rupees and US Dollars

flow background with default flow Au+Au 20-60%, 4<p_{\text{T}}^{(t)}<6 GeV/c, slice 4