This dataset is a focus of the monitoring of urban planning documents in the territories of the municipalities concerned by the “Climimats of Burgundy”. This data was updated as of June 29, 2017 from the SUDOCUH database. Column DU_2015 shows the history of Urbanism documents applicable on 4 July 2015 when the “Climimats of Burgundy” was added to the UNESCO World Heritage site.

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

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.

Watershed Data Management (WDM) database file ARGN20.WDM is an update of ARGN19.WDM (Bera, 2020) with the processed data from October 1, 2019 through September 30, 2020, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and processed following the guidelines documented in Over and others (2010). ARGN20.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310), and solar radiation (dsn 610), respectively, from January 1,1948, to September 30, 2020. Daily potential evapotranspiration (PET) were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, in thousandths of an inch, using the Fortran program LXPET (Murphy, 2005). Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2020) station at St. Charles, Illinois, was used as "backup" for the hourly air temperature, solar radiation, and wind speed data. The Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2020) provided the hourly dewpoint temperature and wind speed data collected by the National Weather Service from the station at O'Hare International Airport and used as "backup". Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). To open this file user needs to install any of the utilities described in the section "Related External Resources" on this page. References Cited: Argonne National Laboratory, 2020, Meteorological data, accessed on November 17, 2020, at http://www.atmos.anl.gov/ANLMET/. Bera, M., 2020, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2019: U.S. Geological Survey data release, ​https://doi.org/10.5066/P9X0P4HZ. Midwestern Regional Climate Center, 2020, Meteorological data, accessed on November 3, 2020, at https://mrcc.illinois.edu/CLIMATE/. Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020. Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. Water and Atmospheric Resources Monitoring Program. Illinois Climate Network, 2020. Illinois State Water Survey, 2204 Griffith Drive, Champaign, IL 61820-7495. Data accessed on November 9, 2020, at http://dx.doi.org/10.13012/J8MW2F2Q.

SECTIC-24K is a digital file of the Public Land Survey (PLS) section corners of Minnesota as recorded on the U.S. Geological Survey's 1:24,000 7.5-minute quadrangle maps (map dates ranging from the late 1940s - 1970s). The database attempts to best fit the section corner locations shown on the published 1:24,000 maps, even though better real-world data for the location of the section corner might be available elsewhere. The SECTIC-24K data set also includes a program which has the following utilities:

Utility A: Section corner extraction from the SECTIC-24K database by county, 1:24,000-scale quad, or township.
Utility B: Conversion among PLS, UTM, or LAT/LONG coordinates, either interactively or by file conversion. It also allows NAD27 - NAD83 conversions.
Utility C: Creation of a dBASE output file from SECTIC-24K.

This program does not run on Windows 7 - 64 bit computers (it does run on Windows - 32 bit). There is also a web service that generates much the same info as the SECTIC program. The main differences are it may not do NAD27/NAD83 shifts and it doesn't have a batch mode. A batch mode could be created using the web service and the scripting code of your choice. Find the web service at: https://gisdata.mn.gov/dataset/loc-pls-api-service

Searchable Index of Metadata Aggregators is a database that stores general information of metadata aggregators. This database is accompanied with the “A WDS guide to Metadata Aggregators for Repository Managers”. The Searchable Index of Metadata Aggregators is an up-to-date catalogue of Dataset Metadata Aggregators (DMAs), implemented as an access database. It was designed to fill in a gap found by the Harvestable Metadata Services Working Group (HMetS-WG) members of the World Data System’s International Technology Office (WDS-ITO). These include up-to-date resources giving an overview of current infrastructures used to syndicate dataset metadata. The database contains information on DMA's supported metadata standards and software interfaces, as well as documentation on how to be aggregated by each.

The WDS Guide to Metadata Aggregators is a guidance document for the associated Searchable Index of Metadata Aggregators. We have defined DMAs as federated service infrastructures that foster the findability and accessibility of data products by enabling access to multiple, distributed metadata records via a single search interface. This guide gives a description of this catalogue and general guidance on how to use it. In the sections that follow, we give a short background to the Harvestable Metadata Services-Working Group project. Then, we outline the project's research methodology and the properties of the searchable index. Finally, we discuss this project's limitations, as well as its future development. Providing metadata to aggregators can significantly improve the findability of research data products.

Together, this guidance document and dataset package are designed to provide research data repository managers with options for participation in federated research data systems, and support institutional repositories' harvestable metadata service implementation strategies. In addition, as developers in the global research data management community seek to create pathways and workflows across data, software and compute resources, we anticipate that they're likely to prioritize connecting sites, organizations and services that have already done a lot of work harmonizing content from disparate providers. In this context, this resource will be helpful for creating roadmaps and implementation plans for integration across science clouds.

Database Type: SQL, NoSQL (including Document, Key-Value, Wide-Column, and Graph Databases) Model: Service (Cloud-hosted, Managed, and Self-Managed), Deployment (Public Cloud, Private Cloud, Hybrid Cloud) Component: Software, Service, Infrastructure Organization Size: Large Enterprise, Small and Medium Enterprises (SMEs) End-User: BFSI, Healthcare, Retail, Manufacturing, Government, Education, and Others

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

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 gridded National Soil Survey Geographic Database (gNATSGO) is a USDA-NRCS (Natural Resources Conservation Service) Soil & Plant Science Division (SPSD) composite ESRI file geodatabase that provides complete coverage of the best available soils information for all areas of the United States and Island Territories. It was created by combining data from the Soil Survey Geographic Database (SSURGO), State Soil Geographic Database (STATSGO2), and Raster Soil Survey Databases (RSS) into a single seamless ESRI file geodatabase. The gNATSGO database contains a 10-meter raster of the soil map units and 70 related tables of soil properties and interpretations. It is designed to work with the SPSD gSSURGO ArcTools. Users can create full coverage thematic maps and grids of soil properties and interpretations for large geographic areas, such as the extent of a State or the conterminous United States. SSURGO is the SPSD flagship soils database that has over 100 years of field-validated detailed soil mapping data. SSURGO contains soils information for more than 90 percent of the United States and island territories, but unmapped land remains. The current completion status of SSURGO mapping is displayed (PDF). STATSGO2 is a general soil map that has soils data for all of the United States and island territories, but the data is not as detailed as the SSURGO data. The Raster Soil Surveys (RSSs) are the next generation soil survey databases developed using advanced digital soil mapping methods. The first version of gNATSGO was created in 2019. It is composed primarily of SSURGO data, but STATSGO2 data was used to fill in the gaps. Three RSSs have been published as of 2019. These were merged into the gNATSGO after combining the SSURGO and STATSGO2 data. The extent of RSS is expected to increase in the coming years. Resources in this dataset:Resource Title: Website Pointer for Gridded National Soil Survey Geographic Database (gNATSGO). File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/geo/?cid=nrcseprd1464625 The gNATSGO website provides an Overview slide presentation, Download links for gNATSGO databases (CONUS or States), ArcTools, Metadata, Technical Information, and Recommended Data Citations.

The U.S. National Fungus Collections (BPI) are the “Smithsonian for fungi” and are the repository for over one million fungal specimens worldwide - the largest such collections in the world. The collection includes preserved organisms, their parts and products, and their associated data. Information associated with these specimens constitute an enormous data resource, especially about plant-associated fungi. The collections document fungi through time and space for the past 200 years. Data from the labels of more than 750,000 of the specimens have been entered into a database. These labels have information on the host on which the fungus was found and the locality in which the specimen was collected. Sixty percent of these specimens are from the United States and thus represent a large body of information about the fungi in this country.
Data entry has been completed for the Uredinales (rusts), the Ustilaginales (smuts), the Polyporales (polypores), the Deuteromycetes (imperfect fungi), the Ascomycetes, and the C.G. Lloyd collections. Recent progress has been made in the computerization of specimens of the agarics and the "lower" fungi including the Oomycetes and Chytridiomycetes. Resources in this dataset:Resource Title: Fungal databases - Specimens. File Name: Web Page, url: https://nt.ars-grin.gov/fungaldatabases/specimens/specimens.cfm The direct database form link

The SSURGO database contains information about soil as collected by the National Cooperative Soil Survey over the course of a century. The information can be displayed in tables or as maps and is available for most areas in the United States and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS (Natural Resources Conservation Service). The information was gathered by walking over the land and observing the soil. Many soil samples were analyzed in laboratories. The maps outline areas called map units. The map units describe soils and other components that have unique properties, interpretations, and productivity. The information was collected at scales ranging from 1:12,000 to 1:63,360. More details were gathered at a scale of 1:12,000 than at a scale of 1:63,360. The mapping is intended for natural resource planning and management by landowners, townships, and counties. Some knowledge of soils data and map scale is necessary to avoid misunderstandings. The maps are linked in the database to information about the component soils and their properties for each map unit. Each map unit may contain one to three major components and some minor components. The map units are typically named for the major components. Examples of information available from the database include available water capacity, soil reaction, electrical conductivity, and frequency of flooding; yields for cropland, woodland, rangeland, and pastureland; and limitations affecting recreational development, building site development, and other engineering uses. SSURGO datasets consist of map data, tabular data, and information about how the maps and tables were created. The extent of a SSURGO dataset is a soil survey area, which may consist of a single county, multiple counties, or parts of multiple counties. SSURGO map data can be viewed in the Web Soil Survey or downloaded in ESRI® Shapefile format. The coordinate systems are Geographic. Attribute data can be downloaded in text format that can be imported into a Microsoft® Access® database. A complete SSURGO dataset consists of:

GIS data (as ESRI® Shapefiles) attribute data (dbf files - a multitude of separate tables) database template (MS Access format - this helps with understanding the structure and linkages of the various tables) metadata

Resources in this dataset:Resource Title: SSURGO Metadata - Tables and Columns Report. File Name: SSURGO_Metadata_-_Tables_and_Columns.pdfResource Description: This report contains a complete listing of all columns in each database table. Please see SSURGO Metadata - Table Column Descriptions Report for more detailed descriptions of each column.

Find the Soil Survey Geographic (SSURGO) web site at https://www.nrcs.usda.gov/wps/portal/nrcs/detail/vt/soils/?cid=nrcs142p2_010596#Datamart Title: SSURGO Metadata - Table Column Descriptions Report. File Name: SSURGO_Metadata_-_Table_Column_Descriptions.pdfResource Description: This report contains the descriptions of all columns in each database table. Please see SSURGO Metadata - Tables and Columns Report for a complete listing of all columns in each database table.

Find the Soil Survey Geographic (SSURGO) web site at https://www.nrcs.usda.gov/wps/portal/nrcs/detail/vt/soils/?cid=nrcs142p2_010596#Datamart Title: SSURGO Data Dictionary. File Name: SSURGO 2.3.2 Data Dictionary.csvResource Description: CSV version of the data dictionary

Recent USDA/ARS patent- and PVP-protected plant cultivars that are available for licensing are described, including summary, contact, and patent number/status. Updated June 2018. Resources in this dataset:Resource Title: Available Plant Cultivars - June 2018. File Name: June Avail Plants.pptxResource Description: Slides presenting title, patent no./protection status, contact, docket number(s), description, and USPTO patent database URL of each new cultivar.Resource Title: Available Plant Cultivars - June 2018. File Name: Available_Plants_2018-06.csvResource Description: Listing of patent- and PVP-protected cultivars. This CSV file provides the title, patent no./protection status, contact, docket number(s), description, and USPTO patent database URL of each new cultivar. Machine-readable content extracted from corresponding slides accompanying this dataset.Resource Title: Available Plants Data Dictionary. File Name: available-plants-data-dictionary.csvResource Description: Defines fields, data type, allowed values etc. in available patented plants tables.

Healthcare Data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain point geographic files of healthcare organizations, providers, and hospitals and an boundary file of Primary Care Service Areas.

The dataset represents the most current mapping of active faults for New Zealand in a single database, designed for portrayal at 1:250,000 scale. It is produced by GNS Science and derived from the QMAP Geological Map of New Zealand Project and the high-resolution New Zealand Active Faults Database (NZAFD-HighRes).

Active faults are defined as those that have ruptured and/or caused ground surface deformation during the last 125,000 years (except for in the Taupō Volcanic Zone / Taupō Rift, where the definition of activity is restricted to only include the last 25,000 years). This dataset includes only onshore active faults, with the exception of offshore faults that ruptured during the 2016 Kaikōura earthquake.

The 1:250,000 scale NZ Active Faults Database (NZAFD-AF250) is a feature class in vector format stored in a PostrgeSQL database. It comprises polylines, with each line representing the location of an active fault trace at or near the surface. Each fault trace has attributes that describe its name, orientation, displacement, sense of movement, time of last movement and other fault activity parameters.

The dataset is published to the GNS ArcGIS server as a web service layer which is intermittently updated with new information. The data can also be viewed through the NZAFD website and downloaded from there in shapefile, KML, JSON and text formats; however, these are not updated as frequently as the web service and are static copies of the database with the timestamp in the file name.

To credit the use of the data in publications, we recommend citation of the 1:250,000 scale Active Faults Database paper:

Langridge, R.M., Ries, W.F., Litchfield, N.J., Villamor, P., Van Dissen, R.J., Barrell, D.J.A., Rattenbury, M.S., Heron, D.W., Haubrock, S., Townsend, D.B., Lee, J.M., Berryman, K.R., Nicol, A., Cox, S.C., Stirling, M.W. (2016). The New Zealand Active Faults Database. New Zealand Journal of Geology and Geophysics 59: 86-96. doi: https://doi.org/10.1080/00288306.2015.1112818

Data download: Timestamped copy from https://data.gns.cri.nz/af/

Web Service: The NZAFD-AF250 is published as the '1:250 000 Active Faults' layer in a combined web service at https://gis.gns.cri.nz/server/rest/services/Active_Faults The layer only turns on when zoomed out for viewing at a regional scale. For more information on the web service see https://doi.org/10.21420/wa26-0n32?x=y

Metadata DOI: https://doi.org/10.21420/R1QN-BM52?x=y

The German Library Statistics (DBS) is the national statistics of the German library system and contains statistical key figures. It includes public libraries, scientific libraries, as well as specialized scientific libraries. More information can be found at DBS. This dataset contains the following information on academic libraries in Bavaria in 2023: Borrowings by total physical units, borrowings, of which: Extensions upon user request, reservations, attendance, requests for information, library visits, 1. ... Virtual visits (visits) input blocked, user training sessions (hours), participants in user training sessions, 1. Calls for e-learning offers from the library, 2. Accepted dissertations of the own university, 3. Accepted dissertations of your own university, of which: Online dissertations, 4. Open access green and gold publications provided on own repositories (accesses in the reporting year), search queries in local online catalogues and discovery systems, search queries in databases and platforms, access to journal titles, full advertisements of journal articles, full advertisements of individual digital documents, 1. Full display of individual digital documents, including: Full ads from commercially distributed e-books, 2. Full display of individual digital documents, including: Full display of individual documents on the institutional repository

This data release is the update of the U.S. Geological Survey (USGS) - ScienceBase data release Bera (2019b), with the processed data for the period October 1, 2017, through September 30, 2018. This data release describes the watershed data management (WDM) database file WBDR18.WDM. The WDM database file WBDR17.WDM (Bera, 2019b) is updated with the quality-assured and quality-controlled meteorological and hydrologic data for the period October 1, 2017, through September 30, 2018, following the guidelines documented in Bera (2017) and is renamed as WBDR18.WDM. Meteorological data other than precipitation (wind speed, solar radiation, air temperature, dew point temperature, and potential evapotranspiration) are copied from ARGN18.WDM and stored in this WDM file. Bera (2019a) describes the processing of the meteorological data in the database file ARGN18.WDM. Data in dataset number (DSN) 107 and 801–811 are used in comparisons of precipitation data. DSN 107 contains hourly precipitation data from tipping bucket raingages collected at Argonne National Laboratory at Argonne, Illinois. DSN 801-811 contains the processed Next Generation Weather Radar (NEXRAD)-Multisensor Precipitation Estimates (MPE) data from 11 NEXRAD–MPE subbasins in the West Branch DuPage River watershed as described in Bera and Ortel (2018). The data are downloaded and uploaded daily into a WDM database that is used for the real-time streamflow simulation system. Data from DSN 107 and 801-811 are copied from this WDM and stored in WBDR18.WDM. DSN 107 and 801-811 are updated with the data through September 30, 2018. Data in DSN 4031 (water-surface elevation from West Branch DuPage River at Fawell Dam) is updated through September 30, 2018, similarly (Bera, 2017). The complete list of missing precipitation data period and the nearby stations used to fill in those missing periods from October 1, 2017, through September 30, 2018, is given in the table, missing_data (available in pdf and Microsoft Word formats). The list of snow affected days of precipitation data and the missing and estimated period of the stage and flow data in WBDR18.WDM database during the period October 1, 2017, through September 30, 2018, are given in the USGS annual Water Data Report at https://wdr.water.usgs.gov. To open the WBDR18.WDM file, the user needs to install any of the utilities described in the section "Related External Resources" on this page. References Cited: Bera, M., 2019a, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9H8P0F7. _ 2019b, Watershed Data Management (WDM) Database (WBDR17.WDM) for West Branch DuPage River Streamflow Simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9LGC3F4. Bera, M., and Ortel, T.W., 2018, Processing of next generation weather radar-multisensor precipitation estimates and quantitative precipitation forecast data for the DuPage County streamflow simulation system: U.S. Geological Survey Open-File Report 2017–1159, 16 p., https://doi.org/10.3133/ofr20171159. Bera, M., 2017, Watershed Data Management (WDM) database for West Branch DuPage River streamflow simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2013: U.S. Geological Survey Open-File Report 2017–1099, 39 p., https://doi.org/10.3133/ofr20171099.