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322 results for “census”
Blockgroups, census, 2000, Ipswich Watershed, Parker Watershed, Plum Island Ecosystem, Massachusetts - vector
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, ke
Blocks, census, 2000, Ipswich Watershed, Parker Watershed, Plum Island Ecosystem, Massachusetts - vector
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, ke
Tracts, census, 2000, Ipswich Watershed, Parker Watershed, Plum Island Ecosystem, Massachusetts - vector
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the U.S. Census Bureau. ZCTA is a trademark of the U.S. Census Bureau. The Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States, Puerto Rico, and the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The boundary information in the TIGER/Line files are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisditional authority or rights of ownership or entitlement. The Census 2000 TIGER/Line files do NOT contain the Census 2000 urban areas which have not yet been delineated. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, ke
Extended data for Differential privacy in the 2020 US census, what will it do? Quantifying the accuracy/privacy tradeoff
<p>Full table of summary counts, errors, and empirical privacy loss for a range of levels of geographic hierarchy and stratification, varying epsilon (sup_table) or sample size (sub_table_2)</p>
Census demographic data for the InMAP Source-Receptor Matrix (ISRM) dataset
<p>The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (<a href="http://spatialmodel.com/inmap/">InMAP</a>), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).</p> <p>These files join US Census demographic information to the ISRM to facilitate future analyses. The original ISRM file can be found here: <a href="https://zenodo.org/record/3590127#.Xt0Z4GhKhPb">https://zenodo.org/record/3590127#.Xt0Z4GhKhPb</a></p>
"Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" - Age-depth models and calcareous nannofossil census data
<p>This is a data supplement to the paper "Shifts in Phytoplankton Composition and Stepwise Climate Change during the Middle Miocene" (Paleoceanography and Paleoclimatology).</p> <p><strong>Data Set S1</strong>. Age-depth models.</p> <p>This data set includes the file SI_Tables S2-S5_Henderiks_etal.xlsx containing raw age-depth tie point compilations for each site and sample age estimates, as well as the final, site-specific input files and output (age assignments) from the <em>Undatable </em>Matlab software Version 1.1 (Lougheed and Obrochta, 2019; https://doi.org/10.1029/2018PA003457). The age-depth models presented in this study can be reproduced by running the age-depth model input files in the <em>Undatable</em> graphical user interface (GUI), whereby the necessary settings for the specific number of Monte Carlo iterations, xfactor and bootstrapping are contained in the header of the input files. Note that input and output files are grouped in two zipped folders: a cm- and meter-depth scale version (the latter decreases computing time and produced the age-depth plots shown in Figures S1 and S2 of the paper).</p> <p><strong>Data Set S2</strong>. Calcareous nannofossil census data.</p> <p>The file SI_ds02_Henderiks_etal.xlsx consists of two separate data sheets:<br> 1. Middle Miocene nannofossil abundance estimates (N/g) and genus-level census counts (%, ±95% CI) at 5 different Atlantic deep-sea sites (Sites 982, 608, 925, 926 and 1264).<br> 2. Middle Miocene census counts (%, ±95% CI) of <em>Coccolithus</em> and <em>Reticulofenestra</em> morphospecies and size categories for Sites 982, 608, 925 and 926.</p>
Data from: Census parcels cropping system classification from multitemporal remote imagery: a proposed universal methodology
A procedure named CROPCLASS was developed to semi-automate census parcel crop assessment in any agricultural area using multitemporal remote images. For each area, CROPCLASS consists of a) a definition of census parcels through vector files in all of the images; b) the extraction of spectral bands (SB) and key vegetation index (VI) average values for each parcel and image; c) the conformation of a matrix data (MD) of the extracted information; d) the classification of MD decision trees (DT) and Structured Query Language (SQL) crop predictive model definition also based on preliminary land-use ground-truth work in a reduced number of parcels; and e) the implementation of predictive models to classify unidentified parcels land uses. The software named CROPCLASS-2.0 was developed to semi-automatically perform the described procedure in an economically feasible manner. The CROPCLASS methodology was validated using seven GeoEye-1 satellite images that were taken over the LaVentilla area (Southern Spain) from April to October 2010 at 3- to 4-week intervals. The studied region was visited every 3 weeks, identifying 12 crops and others land uses in 311 parcels. The DT training models for each cropping system were assessed at a 95% to 100% overall accuracy (OA) for each crop within its corresponding cropping systems. The DT training models that were used to directly identify the individual crops were assessed with 80.7% OA, with a user accuracy of approximately 80% or higher for most crops. Generally, the DT model accuracy was similar using the seven images that were taken at approximately one-month intervals or a set of three images that were taken during early spring, summer and autumn, or set of two images that were taken at about 2 to 3 months interval. The classification of the unidentified parcels for the individual crops was achieved with an OA of 79.5%.
Data from: Genetic versus census estimators of the opportunity for sexual selection in the wild
The existence of a direct link between intensity of sexual selection and mating system type is widely accepted. However, the quantification of sexual selection has proven problematical. Several measures of sexual selection have been proposed, including the operational sex ratio (OSR), breeding sex ratio (BSR) and opportunity for sexual selection (Imates). For a wild population of pronghorn (Antilocapra americana), we calculated OSR and BSR. We estimated Imates from census data on the spatial and temporal distribution of receptive females in rut and from a multi-generational genetic pedigree. OSR and BSR indicated weak sexual selection on males, but census and pedigree Imates suggested stronger sexual selection on males than on females. OSR and BSR correlated with census but not pedigree estimates of Imates, and census Imates did not correlate with pedigree estimates. This suggests that the behavioral mating system, as deduced from the spatial and temporal distribution of females, does not predict the genetic mating system of pronghorn. The differences we observed between estimators were primarily due to female mate sampling and choice, and the sex ratio. For most species, behavioral data is not perfectly accurate, and therefore will be an insufficient alternative to using multi-generational pedigrees to quantify sexual selection.
Figure 8 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 8 Embrikstrandia unifasciata (Ritsema, 1896): dorsal (A) and lateral (B) views of specimen observed on Coloane Heights on17 Jun 2020 (photographs: LC).
Figure 6 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 6 Cephalallus unicolor unicolor (Gahan, 1906): dorsal (A) and lateral (B) views of specimens observed on Great Taipa (11 Apr 2019) and Coloane Village (1 Apr 2020), respectively (photographs: LC).
Figure 52 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 52 Glenea (Stiroglenea) cantor cantor (Fabricius, 1787): dorsal (A) and lateral (B) views of specimens observed on Coloane Heights on 23 Sep 2020 and 15 Sep 2019, respectively (photographs: A LC B Eric Kwan).
Figure 50 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 50 Pterolophia consularis (Pascoe, 1866): dorsal (A) and lateral (B) views of specimen observed at Coloane Village on 1 Jun 2020 (photographs: LC).
Figure 49 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 49 Pterolophia kaleea inflexa Gressitt, 1940: dorsal (A) and lateral (B) views of specimen observed on Great Taipa Hill on 21 May 2019 (photographs: LC).
Figure 5 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 5 Aegolipton marginale (Fabricius, 1775): dorsal (A) and lateral (B) views of specimens observed on Guia Hill (12 May 2019) and Coloane Village (14 May 2020), respectively (photographs: LC).
Figure 54 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 54 Oberea walkeri Gahan, 1894: dorsal (A) and lateral (B) views of specimens observed on Great Taipa Hill (9 May 2019) and on Coloane Heights (28 Apr 2019), respectively (photographs: LC).
Figure 48 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 48 Prosoplus bankii (Fabricius, 1775): dorsal (A) and lateral (B) views of specimens observed at Coloane Village on 27 May 2020 and 22 May 2020, respectively (photographs: LC).
Figure 47 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 47 Mispila tholana (Gressitt, 1940): dorsal (A) and lateral (B) views of specimens observed on the Coloane Heights on 28 Apr 2019 and on 18 Jun 2020, respectively (photographs: A LC B Kit Chang).
Figure 46 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 46 Desisa subfasciata (Pascoe, 1862): dorsal (A) and lateral (B) views of specimens observed on the Coloane Heights on 16 May 2020 and on 24 May 2020, respectively (photographs: A Kisu Wong B LC).
Figure 51 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 51 Pterolophia (Hylobrotus) annulata (Chevrolat, 1845): dorsal (A) and lateral (B) views of specimen observed at Coloane Village on 30 Apr 2020 (photographs: LC).
Figure 45 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 45 Coptops licheneus Pascoe, 1865: dorsal (A) and lateral (B) views of specimens observed on Coloane Heights, on 11 Jul 2020 and 26 May 2020, respectively (photographs: LC).
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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