Requests for information, publications, photographs, and other information involving no administrative action, policy decision, or special compilations or research. Also includes acknowledgements, replies, and referrals of inquiries to other offices for response.

The General Social Surveys (GSS) were designed as part of a data diffusion project in 1972. The GSS replicated questionnaire items and wording in order to facilitate time-trend studies. The latest survey, GSS 2012, includes a cumulative file that merges all 29 General Social Surveys into a single file containing data from 1972 to 2012. The items appearing in the surveys are one of three types: Permanent questions that occur on each survey, rotating questions that appear on two out of every three surveys (1973, 1974, and 1976, or 1973, 1975, and 1976), and a few occasional questions such as split ballot experiments that occur in a single survey. The 2012 surveys included seven topic modules: Jewish identity, generosity, workplace violence, science, skin tone, and modules for experimental and miscellaneous questions. The International Social Survey Program (ISSP) module included in the 2012 survey was gender. The data also contain several variables describing the demographic characteristics of the respondents.

The Government Estimates report the requirements for public monies from the General Revenue Fund to fund the operations of the Government for the applicable fiscal year. Together with the Offices of the Legislative Assembly Estimates, the estimates documents identify the total requirements for public monies from the General Revenue Fund for the year. The estimates make up part of the Government’s annual budget, which also includes the fiscal plan, the government’s strategic or performance plan, and the ministry business plans. Note: Supplementary information on financial entities and consolidation adjustments has been moved into a separate Entity Financial Information volume published in electronic form. See the Related tab.

Director General's Files

Database indicating the 4-digit and 1-letter code (most significant of the Harmonized Nomenclature), the description of other generic information of all the merchandise that is likely to be marketed.

This dataset includes general files for this project. A readme file is included that explains how files are organized across datasets and contain information on the contents of the files. Other files in this dataset include the spreadsheet of participant information (ages, genders, handedness and familial handedness, dates run, reasons for exclusion, etc), an example processing script useful for processing the raw EEG data associated with the project in EEGLAB/ERPLAB toolboxes for Matlab, and the BDF file necessary for ERPLAB to map critical EEG trigger codes to ERP conditions.

Many different files for the project including: PDB files with CONSURF with Conservation Scores in the tempFactor field (low numbers = high conservation) • protein sequences (2 folders, all formatted for DNA Strider 1.5a12) DALI results for domains predicted by ColabFold • trees - phylogeny work in iTOL and Phyml (not included in paper)

Often referred to as the Blue Book, this data (Excel format) shows who is doing business with government and selected payments over $10,000 that have been made for supplies or services purchased by departments from the General Revenue Fund. Updated quarterly.

The series consists of a list of files registered on the computer-based Records and Correspondence Management System (RCMS), under Registry 11 Correctional Services. It was created by exporting file data from the RCMS system into a Microsoft Excel spreadsheet. It is an artificial series, created by the Department of Justice at the request of Public Record Office Victoria, to provide access to VPRS 12700 General Correspondence Files, Registry 11 Correctional Services.

The list captured the file number, key-term classification, file title, and certain additional information for each file.

Organisation of the Data

The data is organised into 13 columns, or fields, presumably corresponding to discrete fields within the RCMS database.

The columns, from left to right, are as follows:

1. FILE.YEAR - The year the file was raised.

2. REGISTRY - The number of the registry in which the file has been registered on the RCMS system. The files referred to by this series were registered under Registry 11 Correctional Services.

3. FILE SEQUENCE - The sequential number allocated to each file as it is raised. Numbers start again from one each year.

4. FILE PART - The part number of the file.

The FILE.YEAR, REGISTRY, FILE SEQUENCE, and FILE PART fields, taken together, provide the file number.

5. KEY TERM - In theory, this is term used to describe the principle subject area of the file.

6. DESCRIPTOR.1, DESCRIPTOR.2 and DESCRIPTOR.3 (Columns 6 to 8) - In theory, these are narrower terms used to break the general subject area into smaller, more specific areas.

7. KWOC.1, KWOC.2, KWOC.3, and KWOC.4 (Key Word Out of Context) (Columns 9 to 12) - Provide for free text description of the file.

The KEY-TERM, DESCRIPTOR, and KWOC fields, taken together, provide the file title.

In practice, many different terms have been used in the key-term and descriptor fields. There appears to have been little control over the creation of new terms and the way in which the terms are used.

8. ADD.FILE.INFO (Additional File Information) - This field contains useful information about previous and subsequent files, related files, file closure, and so forth.

Abstract (en): Since 1972, the General Social Survey (GSS) has been monitoring societal change and studying the growing complexity of American society. The GSS aims to gather data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes; to examine the structure and functioning of society in general as well as the role played by relevant subgroups; to compare the United States to other societies in order to place American society in comparative perspective and develop cross-national models of human society; and to make high-quality data easily accessible to scholars, students, policy makers, and others, with minimal cost and waiting. GSS questions include such items as national spending priorities, marijuana use, crime and punishment, race relations, quality of life, and confidence in institutions. Since 1988, the GSS has also collected data on sexual behavior including number of sex partners, frequency of intercourse, extramarital relationships, and sex with prostitutes. In 1985 the GSS co-founded the International Social Survey Program (ISSP). The ISSP has conducted an annual cross-national survey each year since then and has involved 58 countries and interviewed over one million respondents. The ISSP asks an identical battery of questions in all countries; the U.S. version of these questions is incorporated into the GSS. The 2016 GSS added in new variables covering information regarding social media use, suicide, hope and optimism, arts and culture, racial/ethnic identity, flexibility of work, spouses work and occupation, home cohabitation, and health. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All noninstitutionalized, English and Spanish speaking persons 18 years of age or older, living in the United States. Smallest Geographic Unit: census region For sampling information, please see Appendix A of the ICPSR Codebook. computer-assisted personal interview (CAPI), face-to-face interview, telephone interview Please note that NORC may have updated the General Social Survey data files. Additional information regarding the General Social Surveys can be found at the General Social Survey (GSS) Web site.

The Blue Book shows who is doing business with government and selected payments from the General Revenue Fund. The following files provide the data in Excel format for Reported Procurement Card Payments by Payee, with reference to Department, listing procurement card payments over $10,000. Note: these files were moved to a new record effective May 8, 2020: https://open.alberta.ca/dataset/general-revenue-fund-details-of-expenditure-by-payee-data.

This is the number of new legal files referred to the Litigation Section of the Office of the Solicitor General on a financial year basis. These are matters in which the Office of Solicitor General provides representation for litigation matters involving the Crown.

As of Report Year (RY) 2023, FTA requires that reporters with fixed route modes create and maintain a public domain general transit feed specification (GTFS) dataset that reflects their fixed route service. This specification allows for the mapping and other geospatial data visualization and analyses of key transit elements such as stops, routes, and trips. At least one GTFS weblink is provided by the transit agency for each fixed route bus mode and type of service. These include all Rail modes as well as Bus, Bus Rapid Transit, Commuter Bus, Ferryboat and Trolleybus. GTFS requires that an overarching compressed file contain, at a minimum, seven underlying text files: (a) Agency; (b) Stops; (c) Routes; (d) Trips; (e) Stop Times; (f) Calendar or Calendar Dates.txt; and (g) Feed Info.txt. An eighth file, Shapes.txt, is an optional file. FTA collects and publishes these links for further analysis using related GTFS files. FTA is not responsible for managing the websites that host these files, and users with questions regarding the GTFS data are encouraged to contact the transit agency. In many cases, publicly hosted weblinks could not be provided (i.e., due to constraints within the transit agency), but the agency was able to produce a zip file of the required GTFS data. Demand Response, Vanpool, and other non-fixed route modes are excluded. The column "Alternate Format" indicates that the agency provided FTA a weblink in an alternate format with some justification for doing so. The file "Waived" indicates that no GTFS files were produced and FTA granted the agency a waiver from the requirement in Report Year 2023. NTD Data Tables organize and summarize data from the 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis. This dataset is based on the 2023 General Transit Feed Specification database file. If you have any other questions about this table, please contact the NTD Help Desk at NTDHelp@dot.gov.

This is the number of legal files that are completed or closed in a financial year by the Litigation Section of the Office of the Solicitor General. This is the number of legal files that are completed or closed in a financial year by the Litigation Section of the Office of the Solicitor General.

Often referred to as the Blue Book, this data (Excel format) shows who is doing business with government and selected payments over $10,000 that have been made for supplies or services purchased by departments from the General Revenue Fund. Updated quarterly.

US Fish and Wildlife Service (FWS) Servcat Documents: Topic: Poster

This deposit contains an archive of documents from the US Fish and Wildlife Service (FWS) Servcat system. The documents were obtained by scraping the FWS Servcat system, which is a database of documents related to the management of fish and wildlife resources in the United States. The documents include reports, memos, and other materials related to the management of fish and wildlife resources.

The documents are organized here by general topic, and are contained in a zip file. If the original general topic contained more than 50 Gb of data, the documents are split into multiple zip files. The zip files are named according to the original general topic, and are numbered sequentially when more than one zip file is created. For example, if the original general topic was Geospatial_Dataset, and there were three zip files created, the zip files would be named Geospatial_Dataset_part1.zip, Geospatial_Dataset_part2.zip, and Geospatial_Dataset_part3.zip. If only one zip file is created, it will be named by that general topic, e.g. Geospatial_Dataset.zip.

The Blue Book shows who is doing business with government and selected payments from the General Revenue Fund. The following files provide the data in Excel format for supplies or services purchased by departments. Note: these files were moved to a new record effective May 8, 2020: https://open.alberta.ca/dataset/general-revenue-fund-details-of-expenditure-by-payee-data.

We have all agreed that it is important for us to know how data are used and to increase our confidence with data documentation, statistical packages, and different (complex) data products. The vote this year? General Social Survey (GSS) data with multiple files!

US Fish and Wildlife Service (FWS) Servcat Documents: Topic: Geospatial Dataset Part 2.2

This deposit contains an archive of documents from the US Fish and Wildlife Service (FWS) Servcat system. The documents were obtained by scraping the FWS Servcat system, which is a database of documents related to the management of fish and wildlife resources in the United States. The documents include reports, memos, and other materials related to the management of fish and wildlife resources.

The documents are organized here by general topic, and are contained in a zip file. If the original general topic contained more than 50 Gb of data, the documents are split into multiple zip files. The zip files are named according to the original general topic, and are numbered sequentially when more than one zip file is created. For example, if the original general topic was Geospatial_Dataset, and there were three zip files created, the zip files would be named Geospatial_Dataset_part1.zip, Geospatial_Dataset_part2.zip, and Geospatial_Dataset_part3.zip. If only one zip file is created, it will be named by that general topic, e.g. Geospatial_Dataset.zip.

NIGENS (Neural Information Processing group GENeral sounds) is a database provided for sound-related modeling in the field of computational auditory scene analysis, particularly for sound event detection, that has emerged from the Two!Ears project.

It contains 1017 wav files of various lengths (between 1s and 5mins), in total comprising 4h:46m of sound material. Mostly, sounds are provided with 32-bit precision and 44100 Hz sampling rate. The files contain sound events in isolation, i.e. without superposition of ambient or other foreground sources.

Fourteen distinct sound classes are included: alarm, crying baby, crash, barking dog, running engine, burning fire, footsteps, knocking on door, female and male speech, female and male scream, ringing phone, piano. Additionally, there is the general (“anything else”) class. Care has been taken to select sound classes representing different features, like noise-like or pronounced, discrete or continuous.

The general class is a pool of sound events different than the 14 distuingished target sound classes, containing as heterogeneous sounds as possible (303 in total). For example, it includes nature sounds such as wind, rain, or animals, sounds from human-made environments such as honks, doors, or guns, as well as human sounds like coughs. These sounds are intended both as ``disturbance'' sound events (superposing) and as counterexamples to target sound classes.

Wav files are accompanied by annotation (.txt) files that include perceptual on- and offset times of the file's sound events.

You are free to use this database non-commercially under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 license.

If you use this data set, please cite as:

Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, and Klaus Obermayer (2019). The NIGENS general sound events database. Technische Universität Berlin, Tech. Rep. arXiv:1902.08314 [cs.SD]

In [1], we have developed and analyzed a robust binaural sound event detection training scheme using NIGENS. In [2], we have extended it to join sound event detection and localization through spatial segregation.

[1] Trowitzsch, I., Mohr, J., Kashef, Y., Obermayer, K. (2017). Robust detection of environmental sounds in binaural auditory scenes. IEEE/ACM Transactions on Audio, Speech, and Language Processing 25(6).

[2] Trowitzsch, I., Schymura, C., Kolossa, D., Obermayer, K. (2019). Joining Sound Event Detection and Localization Through Spatial Segregation. accepted for publication in IEEE/ACM Transactions on Audio, Speech, and Language Processing. DOI: 10.1109/TASLP.2019.2958408. E-Preprint: arXiv:1904.00055 [cs.SD].