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TwitterBlocks is a database of highly conserved regions of proteins, or Blocks. THe database is no longer maintained or updated and some of its tools are no longer functional. However, Blocks does provide Block Searcher, Get Blocks and Block Maker, aids to detection and verification of protein sequence homology. They compare a protein or DNA sequence to a database of protein blocks (current version), retrieve blocks, and create new blocks, respectively. Users can further view blocks by (keyword or number), search a sequence against the database of blocks, search blocks against each other, or make blocks of their own.
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TwitterThe 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.
Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.
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Molport In-Stock Building Blocks Database
The Molport In-Stock Building Blocks Database contains SMILES strings and Molport IDs for over 870,000 building blocks that are currently available for purchase. These compounds represent a diverse collection of reagents and intermediates designed to support medicinal chemistry, drug discovery, and custom synthesis workflows.
Contents
SMILES ā The molecular structure in SMILES notation. SMILES_CANONICAL ā Canonicalized SMILES⦠See the full description on the dataset page: https://huggingface.co/datasets/molport/In-stock-Building-Block-Database.
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This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Concrete blocks (also known as concrete masonry units or CMU) are precast rectangular shaped blocks manufactured from concrete. They generally contain one or more hollow cavities, which reduces their weight and makes handling easier. Steel reinforcement is often inserted into these cavities, which are then filled with concrete in situ to provide added strength and loadbearing capacity.Concrete blocks come in a range of sizes, with typical blocks coming in a length of 390 mm, a height of 190 mm and depth of 90, 140 and 190 mm. Each block weighs around 10 kg and has a minimum strength of 15 MPa. A range of colours and surface textures are available.Blocks are typically used for internal and external walls in both domestic and commercial construction and can be used with or without mortar for loadbearing and non-loadbearing applications.
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TwitterCensus blocks are statistical areas bounded on all sides by visible features (e.g., streets, roads, streams, and railroad tracks), and by non-visible boundaries (e.g., city, town, township, county limits, and short line-of-sight extensions of streets and roads). Generally, census blocks are small in area (e.g., a block in a city). Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features (e.g., roads, streams, and/or transmission line rights-of-way). In remote areas, census blocks may encompass hundreds of square miles. Census blocks cover all territory in the United States, Puerto Rico, and the Island areas. Blocks do not cross the boundaries of any entity for which the Census Bureau tabulates data.Census Block NumbersāCensus blocks are numbered uniquely within the boundaries of each state, county, census tract with a 4-character census block number. The first character of the tabulation block number identifies the block group. A block number can only be unique by using the decennial census state (STATEFP
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TwitterThe 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. This data set represents the boundaries of the 2020 Census Blocks, extracted from the MTDB in 2020. The feature class was re-projected from the Census Bureau shapefile tl_2020_34_tabblock20.shp . Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. All 2020 Census blocks nest within every other 2020 Census geographic area. For additional references to explain the data, see Supplemental Information.
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TwitterUSE geoid20 TO JOIN DATA DOWNLOADED FROM DATA.CENSUS.GOV 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. Blocks (Census Blocks or Tabulation Blocks) are statistical areas bounded by visible features, such as streets, roads, streams, and railroad tracks, and by nonvisible boundaries, such as selected property lines and city, township, school district, and county limits and short line-of-sight extensions of streets and roads. Generally, blocks are small in area; for example, a city block bounded on all sides by streets. Blocks in suburban and rural areas may be larger, more irregular in shape, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, blocks may even encompass hundreds of square miles. Blocks cover the entire territory of the United States, Puerto Rico, and the Island Areas. Blocks nest within all other tabulated census geographic entities at the time of the decennial census and are the basis for all tabulated data from that census. Census Block NumbersāBlocks are numbered uniquely with a four-digit census block number from 0000 to 9999 within census tract, which nest within state and county. The first digit of the census block number identifies the block group. Block numbers beginning with a zero (in Block Group 0) are intended to include only water area, but not all water-only blocks have block numbers beginning with 0 (zero). Downloaded from https://www2.census.gov/geo/tiger/TIGER2020/TABBLOCK20 on May 17, 2023
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Twitterhttps://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm
Census Blocks data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain block boundaries with associated 2020 Census demographic data.
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TwitterThe basic unit of aggregation published by the US Census Bureau. Population statistics published for redistricting are distributed at the block level. In an urban area, this corresponds to approximately one city block. This block map has been altered to improve accuracy and align with the City of Philadelphia's street centerline.
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The northern Sierra Nevada foothills (NSNF) wildlife connectivity project modeled connectivity by identifying corridors for potential wildlife movement between habitat areas called landscape blocks. Our landscape blocks, which may be any shape, were identified in June 2013 based on protected lands including: 1) lands managed primarily for biodiversity conservation (based on USGS GAP Analysis conservation status designations GAP 1 and 2); 2) mixed use public lands (USGS GAP 3) that intersect with Large Intact Blocks identified by the California Essential Habitat Connectivity project (i.e., areas of high ecological integrity that are >10,000 acres in size); and, 3) lands under conservation easement. Landscape blocks included all land parcels 100 acres or larger that met our conservation status criteria. A one kilometer buffer was added to all land parcels to form blocks of land. We split our landscape blocks by major rivers and roads to identify barriers within blocks. For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].
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TwitterA parcel of land, usually the smallest unit of land that can be held under an individual lease without a requirement for further subdivision. Blocks in ACTMAPi are displayed as Urban and Rural blocks, and have been separated into individual layers based on its lifecycle stage (Registered, Approved, Proposed, Occupied and Retired). URBAN blocks are defined as blocks that appear within a division and have division and section identifiers. RURAL blocks do not usually appear within a division, but may do so if they remain from before the division was created. REGISTERED: The block appears on a Deposited Plan that has been registered with the Land Titles Office but is not RETIRED or DELETED. APPROVED: The block appears on an Approved Plan that has been signed by the Territory Planning Section and the Project Officer for the development, but the block is not REGISTERED, RETIRED or DELETED. PROPOSED: The block is proposed but has not reached any other stage. OCCUPIED: The block is leased, but does not appear on a registered plan. Leases over unregistered blocks may not be registered at the Land Titles Office, so this stage is used for unregistered blocks with unregistered leases. This normally only occurs in rural areas. RETIRED: Retirement of a block occurs when it is replaced by another block.
Creative Commons License Creative Common By Attribution 4.0 (Australian Capital Territory), Please read Data Terms and Conditions statement before data use.
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TwitterGet the latest USA Concrete Blocks import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.
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TwitterThe list shows BLOCKS entries and PDB entry/chain matching status.
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Thailand Inventory: Concrete: Brick Blocks data was reported at 1,787,710.000 Unit in Jan 2019. This records a decrease from the previous number of 1,963,273.000 Unit for Dec 2018. Thailand Inventory: Concrete: Brick Blocks data is updated monthly, averaging 1,877,470.000 Unit from Jan 2016 (Median) to Jan 2019, with 37 observations. The data reached an all-time high of 2,917,410.500 Unit in Aug 2016 and a record low of 1,331,902.000 Unit in Jan 2018. Thailand Inventory: Concrete: Brick Blocks data remains active status in CEIC and is reported by Office of Industrial Economics. The data is categorized under Global Databaseās Thailand ā Table TH.C015: Industrial Products Inventory (ISIC Rev. 4).
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24062 Global export shipment records of Chain Blocks with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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Large commercial fishing catch areas, often referred to as -commercial fishing (4-digit) blocks for the state of California. These blocks represent ten generalized catch areas which broadly describe latitudinal catch, from shore out to the exclusive economic zone (EEZ). These catch areas are reflected in reported landings data starting in 1983. These areas overlap with higher resolution 10' x 10' commercial fishing (3-digit) blocks [ds3093] which have been in use since 1933. For more information see: Bureau of Commercial Fisheries. 1935. Fish Bulletin No. 44. The Commercial Fish Catch of California for the Years 1930-1934, Inclusive.
Number sequence of blocks range from 1042 (Northern CA) to 1032 (Southern CA). These blocks were digitized for the California Fisheries Information System, a (since retired) California Department of Fish and Wildlife (CDFW) commercial landings database. The original offshore blocks maps were georeferenced to known ocean locations and coastline. The blocks are primarily used to report fishing in offshore waters.
Attributes:
Block_ID: Contains the 4-digit number used to ID the large offshore commercial fishing block.
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Ecuador Construction Price Index: Materials, Equipment and Machinery: Canar: Concrete: Blocks data was reported at 175.200 12Apr2000=100 in Nov 2018. This stayed constant from the previous number of 175.200 12Apr2000=100 for Oct 2018. Ecuador Construction Price Index: Materials, Equipment and Machinery: Canar: Concrete: Blocks data is updated monthly, averaging 163.540 12Apr2000=100 from Jan 2006 (Median) to Nov 2018, with 155 observations. The data reached an all-time high of 175.200 12Apr2000=100 in Nov 2018 and a record low of 139.170 12Apr2000=100 in Apr 2006. Ecuador Construction Price Index: Materials, Equipment and Machinery: Canar: Concrete: Blocks data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Databaseās Ecuador ā Table EC.I024: Construction Price Index: By Province.
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This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/. This dataset contains aggregated household and individual sociodemographic data at the block-level from the 2005 and 2018 National Demographic Census. The data were downloaded from the National Administrative Department of Statistics (DANE). The data were not validated independently. Census data were provided at the level of persons, households, dwellings and spatial data (city blocks). To relate non-spatial and spatial data, city block codes (22 characters) were generated by concatenating the department code (2 characters), municipality (3 characters), class (1 character), rural sector (3 characters),rural section (2 characters), population center (3 characters), urban sector (4 characters), urban section (2 characters) and city block (2 characters).These codes were linked to the persons database. The 2005 and 2018 educational level and employment status census data had two additional categories with no clear definition in the census documentation ("Not applicable" and "Not reported"). Those categories were merged into the "Not reported" category. The 2005 and 2018 census data were merged into one dataset with the following attributes: city block code, census year, sex, educational level, and employment status, combining the multiple categories of socioeconomic variables.
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TwitterODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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A. SUMMARY Census Block groups are the next level above census blocks in the geographic hierarchy. Block groups are a combination of census blocks that is a subdivision of a census tract.A block group consists of all census blocks whose numbers begin with the same digit in a given census tract; for example, block group 3 includes all census blocks numbered in the 300s. More information on the census tracts can be found here.
B. HOW THE DATASET IS CREATED The boundaries are uploaded from TIGER/Line shapefiles provided by the U.S. Census Bureau.
C. UPDATE PROCESS This dataset is static. Changes to the census blocks are tracked in multiple datasets. See here for 2000 census tract boundaries.
D. HOW TO USE THIS DATASET This boundary file can be joined to other census datasets on GEOID. Column descriptions can be found on in the technical documentation included on the census.gov website
E. RELATED DATASETS Census 2020: Census Tracts for San Francisco Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods Census 2020: Blocks for San Francisco Census 2020: Blocks for San Francisco Clipped to SF Shoreline Census 2020: Blocks Groups for San Francisco Clipped to SF Shoreline
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Dataset contains 8.5M+ Ethereum block data. Ethereum is an open-source, blockchain-based, decentralized software platform used for its own cryptocurrency, ether. It enables Smart-Contracts and Distributed Applications (ÄApps) to be built and run without any downtime, fraud, control, or interference from a third party. To learn more about ethereum, visit here.
Dataset contains columns such as - Block Height - Block Hash - Block created timestamp - Miner details - Block size - Block Reward - Total Transactions in that block - Gas Limit and many more.
To get the scraping script of this data, go to my github link provided below
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TwitterBlocks is a database of highly conserved regions of proteins, or Blocks. THe database is no longer maintained or updated and some of its tools are no longer functional. However, Blocks does provide Block Searcher, Get Blocks and Block Maker, aids to detection and verification of protein sequence homology. They compare a protein or DNA sequence to a database of protein blocks (current version), retrieve blocks, and create new blocks, respectively. Users can further view blocks by (keyword or number), search a sequence against the database of blocks, search blocks against each other, or make blocks of their own.