The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air. This dataset is associated with the following publication: Lutes, C., V. Boyd, G. Buckley, L. Levy, K. Bronstein, J. Zimmerman, A. Williams, and B. Schumacher. Impact of Hurricanes, Tropical Storms, and Coastal Extratropical Storms on Indoor Air VOC Concentrations. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(2): 101-117, (2024).

The dataset is comprised of VOC concentrations of soil gas, outdoor and indoor air samples collected at the site for the duration of this study. This dataset is associated with the following publication: Zimmerman, J., A. Williams, B. Schumacher, C. Lutes, L. Levy, G. Buckley, V. Boyd, C. Holton, T. McAlary, and R. Truesdale. The Representativeness of Subslab Soil Gas Collection as Effected by Probe Construction and Sampling Methods. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(3): 106-121, (2024).

Data provider: Scientific Center of Soil Sciences, Agrochemistry and Melioration after Hrant Petrossyan, ANAUContact: gayanehgasparyan@gmail.com

Public database of known binding sites identified in promoters of orthologous vertebrate genes that have been manually curated from bibliography. We have annotated 650 experimental binding sites from 68 transcription factors and 100 orthologous target genes in human, mouse, rat or chicken genome sequences. Computational predictions and promoter alignment information are also provided for each entry. For each gene, TFBSs conserved in orthologous sequences from at least two different species must be available. Promoter sequences as well as the original GenBank or RefSeq entries are additionally supplied in case of future identification conflicts. The final TSS annotation has been refined using the database dbTSS. Up to this release, 500 bps upstream the annotated transcription start site (TSS) according to REFSEQ annotations have been always extracted to form the collection of promoter sequences from human, mouse, rat and chicken. For each regulatory site, the position, the motif and the sequence in which the site is present are available in a simple format. Cross-references to EntrezGene, PubMed and RefSeq are also provided for each annotation. Apart from the experimental promoter annotations, predictions by popular collections of weight matrices are also provided for each promoter sequence. In addition, global and local alignments and graphical dotplots are also available.

A complete list of live websites using the Participants Database technology, compiled through global website indexing conducted by WebTechSurvey.

TassDB stores extensive data about alternative splice events at GYNGYN donors and NAGNAG acceptors. Currently, 114,554 tandem splice sites of eight species are contained in the database, 5,209 of which have EST/mRNA evidence for alternative splicing. Users can search by Transcript Accession Number and Gene Symbol, SQL Query, and Tandem Donor/Tandem Acceptor pairs.

The CSIRO National Soil Site database (Natsoil) currently contains descriptions of over 21, 000 soil site investigations. The data includes morphological descriptions, chemical, physical and mineralogical properties and spectral predictions, along with soil specimen management data. The database and The Australian National Soil Archive provide the foundation for the development of a national soil spectral library and also support TERN Landscapes national soil property modelling through a federated collation of available soil databases.

Data is managed within the SQLServer environment, and made available through JSON services below.

The database schema is based on the SITES V2 national standard. See supporting file. Lineage: Current holdings reflect soil data collected since 1948. While the database was originally comprised solely of data related to research projects and field stations that CSIRO managed, it now also includes sites from other national collaborative projects (e.g. The Northern Australia Water resource Assessment NAWRA). Where state and territory agencies and other organisations have submitted specimens to the Australian National Soil Archive (ANSA), the associated site and analytical data is maintained here also. Data curation is an ongoing activity to support research projects and for the ANSA. As new projects contribute their data and specimens, so the database is expanding.

RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources. Recreation Information Database (RIDB) Application Programming Interface (API) is provided for the purpose of accessing RIDB API endpoints which contain information for federal recreation areas, facilities, campsites, tours, and permits. Federal agencies provide and are responsible for the quality of data contained in the RIDB. Some data may be missing or incomplete. For example, some latitudes and longitudes may be blank. Please be mindful of this when searching for something in particular or applying proximity (radius) filters. Resources in this dataset:Resource Title: RIDB.recreation.gov. File Name: Web Page, url: https://ridb.recreation.gov/ RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources.

The Proteome 2D-PAGE Database system for microbial research is a curated database for storing and investigating proteomics data. Software tools are available and for data submission, please contact the Database Curator. Established at the Max Plank Institution for Infection Biology, this system contains four interconnected databases: i.) 2D-PAGE Database: Two dimensional electrophoresis (2-DE) and mass spectrometry of diverse microorganisms and other organisms. This database currently contains 4971 identified spots and 1228 mass peaklists in 44 reference maps representing experiments from 24 different organisms and strains. The data were submitted by 84 Submitters from 24 Institutes and 12 nations. It also contains various software tools that are important in formatting and analyzing gels and mass peaks; software include: *TopSpot: Scanning the gel, editing the spots and saving the information *Fragmentation: Fragmentation of the gel image into sections *MS-Screener: Perl script to compare the similarity of MALDI-PMF peaklists *MS-Screener update: MS-Screener can be used to compare mass spectra (MALDI-MS(/MS) as well as ESI-MS/MS spectra) on the basis of their peak lists (.dta, .pkm, .pkt, or .txt files), to recalibrate mass spectra, to determine and eliminate exogenous contaminant peaks, and to create matrices for cluster analyses. *GelCali: Online calibration of the Mr- and pI-axis of 2-DE gels with mathematical regression methods ii.)Isotope Coded Affinity Tag (ICAT)-LC/MS database: Isotope Coded Affinity Tag (ICAT)-LC/MS data for Mycobacterium tuberculosis strain BCG versus H37Rv. iii.) FUNC_CLASS database: Functional classification of diverse microorganism. This database also integrates genomic, proteomic, and metabolic data. iv.) DIFF database: Presentation of differently regulated proteins obtained by comparative proteomic experiments using computerized gel image analysis.

ChIP-Atlas is the database and its web interface to provide the result of analysis processed from the entire ChIP-Seq data archived in Sequence Read Archive. We have curated metadata described by original data submitter to enable further data analysis. See details here: https://github.com/inutano/chip-atlas/wiki

This layer of data locates the right-of-way of certain sites contained in the Sites & Organisations database. It covers the entire territory of Rennes Métropole. It has several representations available in the formats listed below to display equipment in the form of a right-of-way or to highlight certain equipment according to its theme. Thus, it is possible to display: — the names of the equipment based on the names appearing on the town plans of the municipalities of Rennes Métropole — the grip of all the equipment of the layer in the form of a white cover — the right of way according to the themes of Sites & Organisations (sport, health, culture, education,...) The id_site attribute makes it possible to attach these right-of-way to the sites of the Sites & Organisations database, a reference base for equipment on Rennes Métropole. For more information on the sites, see the following metadata: https://public.sig.rennesmetropole.fr/geonetwork/srv/fre/catalog.search#/metadata/56ace7a5-e6d0-4e1e-8685-e18d98ee151d

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 24, 2013. Database and Browser containing quantitative information on all the metal-containing sites available from structures in the PDB distribution. This database contains geometrical and molecular information that allows the classification and search of particular combinations of site characteristics, and answer questions such as: How many mononuclear zinc-containing sites are five coordinate with X-ray resolution better than 1.8 Angstroms?, and then be able to visualize and manipulate the matching sites. The database also includes enough information to answer questions involving type and number of ligands (e.g. "at least 2 His"), and include distance cutoff criteria (e.g. a metal-ligand distance no more than 3.0 Angstroms and no less than 2.2 Angstroms). This database is being developed as part of a project whose ultimate goal is metalloprotein design, allowing the interactive visualization of geometrical and functional information garnered from the MDB. The database is created by automatic recognition and extraction of metal-binding sites from metal-containing proteins. Quantitative information is extracted and organized into a searchable form, by iterating through all the entries in the latest PDB release (at the moment: September 2001). This is a comprehensive quantitative database, which exists in SQL format and contains information on about 5,500 proteins.

UniSTS is a comprehensive database of sequence tagged sites (STSs) derived from STS-based maps and other experiments. STSs are defined by PCR primer pairs and are associated with additional information such as genomic position, genes, and sequences.

PROSITE is a database of protein families and domains. It consists of biologically significant sites, patterns and profiles that help to reliably identify to which known protein family a new sequence belongs. PROSITE is based at the Swiss Institute of Bioinformatics (SIB), Geneva, Switzerland.

The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

Data content areas include:

• Worker Characteristics (e.g., Abilities, Interests, Work Styles)
• Worker Requirements (e.g., Education, Knowledge, Skills)
• Experience Requirements (e.g., On-the-Job Training, Work Experience)
• Occupational Requirements (e.g., Detailed Work Activities, Work Context)
• Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

A gold-standard dataset of biologically relevant binding sites in protein structures. It consists of proteins with one unbound structure and at least one structure of the protein-ligand complex. Both a redundant and a non-redundant (sequence identity lower than 25) version is available. Quaternary structures proposed by PQS (2) are used for all structures in the dataset. The availability of both unbound and bound structures for each protein guarantees that our dataset can be used to benchmark binding site prediction methods, in conditions that mimic cases where the binding site is truly unknown. In cases where several different bound structures are available for a given protein, all are used to define the binding sites.

Shellfish Beds Managed Set:

The Connecticut Department of Environmental Protection cooperated with the Department of Agriculture, Bureau of Aquaculture to publish the Connecticut Mananged Shellfish Bed data. More recent information may now be available from Department of Agriculture since the time this information was originally published in 2004. Connecticut Shellfish Bed Mapping - The Town_Merge data layer is one of four layers that were created in the mapping of all managed shellfish beds in Connecticut waters. These beds, as defined below, include state managed beds, municipally managed beds, natural beds and recreational beds. These four bed types were mapped as separate data layers. This project was undertaken to assist three agencies, The National Oceanic and Atmospheric Administration (NOAA), Connecticut Department of Environmental Protection (CTDEP) and the Connecticut Department of Agriculture Bureau of Aquaculture (DA/BA). While the over all goal of all three was the same, namely the protection of natural resources, each had different specific needs. The project was originally undertaken without NOAA involvement. In 2001Public Act PA01-115 An Act Concerning Recreational Fishing in Connecticut was passed. Information on this act can be found through the Connecticut State Library at http://www.cslib.org/psaindex.htm. This act required DA/DB and CTDEP to determine the "effects of commercial and recreational fishing" on eel grass beds. Harry Yamalis from the Office of Long Island Sound Programs (OLISP) initiated gathering information and mapping the beds on a part time basis in response to this Public Act. Later, NOAA requested assistance in building a national database of Marine Managed Areas (MMA) in accordance with federal Executive Order 13158 concerning Marine Protected Areas (MPA). NOAA and CTDEP agreed that the shellfish beds met the criteria for MMA's. Tom Ouellette from OLISP was the liaison between CTDEP and NOAA and became the project supervisor. Todd Coniff was hired as an intern through Coastal State Organization,which is overseeing the MMA inventory collection program for NOAA, to continue the work on a full time basis. Several people from the Environmental and Geographic Information Center at CTDEP provided technical and other guidance. As noted earlier each agency had its on agenda for mapping the shellfish beds. The follow paragraphs outline the wants and needs of NOAA, DA/BA and CTDEP. The following is a description of the process and function of the MMA inventory for NOAA. The following excerpt was taken from the MPA web site http://www.mpa.gov/. The Marine Managed Areas Inventory Database and Data Collection Process The inventory will contain a wide range of information on each site to help the U.S. develop a comprehensive picture of the nation's marine managed areas (MMAs). The data collected include a general description and site characteristics such as location, purpose, and type of site, along with detailed information on natural and cultural resources, legal authorities, site management, regulations, and restrictions (see MMA Inventory Database Description at http://www.mpa.gov/inventory/database_description.html). The data collection process begins with agencies or authorities that manage marine and Great Lakes areas in U.S. waters. Each agency reviews sites in their programs to identify those that meet the MMA working criteria. Data collection is then conducted for each site by the managing agency with an electronic data entry form. The managing agencies also review and approve the data before submission to the NOAA/Department of the Interior Inventory team. The data are then reviewed and made public on MPA.GOV. A data update and revision process is being developed to ensure that the information in the inventory is kept current over time Purposes of MMA Inventory The national inventory provides a range of data on all types of MMAs in the U.S. This database can help federal, regional, state, and local, managers, scientists, non-governmental organizations, and the public to better analyze and understand information about these sites, management capabilities, effectiveness, and evaluation processes. DA/BA wanted the shellfish beds mapped to better meet their statutory obligations and more efficiently run some of their programs. There are two main programs that will directly benefit from this mapping: 1) Shellfish Habitat Management and Restoration and 2) Aquaculture Development and Coordination. Both of these are explained on the DA/BA web site http://vvv.state.ct.us/doag/business/aquac/oyscharg.htm - PROGRAM. Shellfish Habitat Management and Restoration: This program serves two functions: (1) It provides a mechanism for shellfish aquaculturists to obtain underwater lands in Long Island Sound for the purpose of planting, cultivating and harvesting shellfish and serves as the foundation for the State's multimillion dollar shellfish industry. The Bureau leases shellfish grounds, administers Perpetual Franchise grounds, provides survey and engineering services, maintains maps and records, collects fees and taxes, sets corner marker buoys, constructs and maintains signals and mediates boundary and ownership disputes. (2) The Bureau provides for the cultivation and propagation of shellfish through the management and restoration of state-owned natural clam and oyster beds. The continued availability of shellfish is critical to the stability and growth of commercial and recreational shellfishing. The Bureau issues Natural Bed and Conch Harvest licenses, sets corner markers, plants cultch, maintains spawn stock, monitors predators and diseases and makes assessments of natural disaster impacts. Aquaculture Development and Coordination: This program is responsible for planning and coordinating aquaculture development including: development and oversight of legislation and regulations, review of NPDES and Coastal Zone applications, liaison between industry and the regulatory community, promotion, marketing, technology transfer and assistance, communications and addresses issues of regional and national concern. In Connecticut, shellfish are defined as oysters, clams, mussels and scallops; either shucked or in the shell, fresh or frozen, whole or in part. Scallops are excluded from this definition when the final product is the shucked adductor muscle only. Lobsters, crabs, snails and finfish are not included in this definition.

The Contaminated Sites Register dataset is a spatial representation of individual sites recorded and classified by the Department of Water and Environmental (DWER) under the Contaminated Sites Act 2003 (the Act). The Act requires certain parties to report known or suspected contaminated sites. Show full description

The NYC Department of City Planning’s (DCP) Housing Database contains all NYC Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. It includes the three primary construction job types that add or remove residential units: new buildings, major alterations, and demolitions, and can be used to determine the change in legal housing units across time and space. Records in the Housing Database Project-Level Files are geocoded to the greatest level of precision possible, subject to numerous quality assurance and control checks, recoded for usability, and joined to other housing data sources relevant to city planners and analysts.

Data are updated semiannually, at the end of the second and fourth quarters of each year.

Please see DCP’s annual Housing Production Snapshot summarizing findings from the 21Q4 data release here. Additional Housing and Economic analyses are also available.

The NYC Department of City Planning’s (DCP) Housing Database Unit Change Summary Files provide the net change in Class A housing units since 2010, and the count of units pending completion for commonly used political and statistical boundaries (Census Block, Census Tract, City Council district, Community District, Community District Tabulation Area (CDTA), Neighborhood Tabulation Area (NTA). These tables are aggregated from the DCP Housing Database Project-Level Files, which is derived from Department of Buildings (DOB) approved housing construction and demolition jobs filed or completed in NYC since January 1, 2010. Net housing unit change is calculated as the sum of all three construction job types that add or remove residential units: new buildings, major alterations, and demolitions. These files can be used to determine the change in legal housing units across time and space.

This repository contains a detailed database of energy consumption and emissions data for Italian industrial sites in 2022. The database was developed through a novel top-down methodology that bridges national statistics and site-level data, as detailed in the associated data paper Bridging the industrial data gap: Top-down approach from national statistics to site-level energy consumption data - ScienceDirect

Key features of the database:

• Site-specific energy consumption data across seven energy carriers: solid fossil fuels, manufactured gases, oil and petroleum products, natural gas, biofuels, non-renewable wastes, and electricity
• Process heat categorization by temperature ranges (<100°C, 100°C-500°C, 500°C-1000°C, and >1000°C)
• Integration of process emissions from feedstock use in hard-to-abate sectors
• Geographical coordinates and regional information for each industrial site
• Industrial sector classification using both ATECO 2007 and EUROSTAT Energy Balance categories

Data sources integrated:

• EU Emissions Trading System (EU-ETS) database
• EUROSTAT Energy Balance statistics
• JRC-IDEES database
• Italian municipalities geographical database

The methodology presented can be replicated for other European countries, as it relies on commonly available data sources across the EU. This database is particularly valuable for:

• Energy system modelers
• Researchers studying industrial decarbonization
• Policymakers developing targeted climate strategies
• Industry stakeholders assessing technology transition pathways

This work was funded by the European Union - NextGenerationEU, in the framework of the consortium iNEST - Interconnected Nord-Est Innovation Ecosystem (PNRR, Missione 4 Componente 2, Investimento 1.5 D.D. 1058 23/06/2022, ECS_00000043 – Spoke1, RT3A, CUP I43C22000250006).