cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/2417a546044d792da888cdfc22317810
title: GIS Shapefile - GIS Shapefile, Assessments and Taxation Database, MD Property View 2004, Howard County

description: AT_2004_HOWA
      
          File Geodatabase Feature Class
      
      
          Thumbnail Not Available
      
          Tags
      
          Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation
      
      
      
      
          Summary
      
      
          Serves as a basis for performing various analyses based on parcel data.
      
      
          Description
      
      
          Assessments & Taxation (A&T) Database from MD Property View 2004 for Howard County.  The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics.  Documentation for A&T, including a thorough definition for all attributes is enclosed.  Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.
      
      
          It should be noted that the A&T Database consists of points and not parcel boundaries.  For those areas where parcel polygon data exists the A&T Database  can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate.  (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).
      
      
          A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types.  However, for a given record it is not uncommon for numerous fields to be missing attributes.  Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate.  This layer was edited to remove points that did not have a valid location because they failed to geocode.  There were 1160 such points.  A listing of the deleted points is in the table with the suffix "DeletedRecords."
      
      
          Credits
      
      
          Maryland Department of Planning
      
      
          Use limitations
      
      
          BES use only.
      
      
          Extent
      
      
      
          West  -77.186932    East  -76.699458 
      
          North  39.373967    South  39.099693 
      
      
      
      
          Scale Range
      
          There is no scale range for this item.
DOI: 10.6073/pasta/54f8942ce2c6b8660bb9b042cce22e1b
title: GIS Shapefile - Legislative Districts in Baltimore - Boundaries as defined in 2004.

description: Legislative District Boundaries for greater Baltimore.  This dataset was sourced from BNIA.  No metadata was provided with the dataset.
      
      
          This is part of a collection of  Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase itself is available online at beslter.org or lternet.edu.  It is considerably large.  Upon request, it can be shipped to you on media, such as a flash drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/bc39975f33d79d5096ded97d9091dbe9
title: GIS Shapefile - A and T (Assessment and Taxation) DATA, Baltimore City County 2007

description: AT_DATA_baci_2007
      
          File Geodatabase Feature Class
      
      
          Thumbnail Not Available
      
          Tags
      
          BES, Assessments and Taxation
      
      
      
      
          Summary
      
      
          For BES research
      
      
          Description
      
      
          A point shapefile for Baltimore City County, Maryland containing ADS data from the State Department of Assessments and Taxation. It is a comprehensive data set that incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel.  This data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics, and can be used as a basis for performing various analyses based on parcel data.  For complete attribute information and further information see enclosed documents.
      
      
          Credits
      
      
          UVM Spatial Analysis Lab
      
      
          Use limitations
      
      
          Restricted to BES research
      
      
          Extent
      
      
      
          West  -81.638161    East  -76.528932 
      
          North  39.372882    South  37.577177 
      
      
      
      
          Scale Range
      
          There is no scale range for this item.
DOI: 10.6073/pasta/d372ed9078d265633b839029fc15bced
title: GIS Shapefile - Counties, MSA - County boundaries within the BES Main Study Area.

description: County boundaries for the BES Metropolitan Study Area (MSA) derived from year 2000 GDT census data. This is the universal MSA boundary for all BES research.  The MSA consists of the following 5 counties: Baltimore City, Baltimore County, Anne Arrundel, Carroll, Harford, and Howard.
      
      
          This is part of a collection of  Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase itself is available online at beslter.org or lternet.edu.  It is considerably large.  Upon request, it can be shipped to you on media, such as a flash drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.5281/zenodo.1183412
title: Raman Spectra Dataset Of Hydrous Glasses Of Le Losq Et Al., 2012, Am. Min 97:779-790

description: This dataset contains Raman spectra of hydrous glasses used in the publication of Le Losq et al. (2012) to implement a chemical-independent method to quantify water content of glasses with Raman spectroscopy.

Spectra are unprocessed. They were acquired with a T64000 Jobin-Yvon triple grating Raman spectrometer equipped with a confocal system, a 1024 CCD detector cooled by liquid nitrogen and an Olympus microscope. The optimal spatial resolution allowed by the confocal system is 1–2 μm<sup>2</sup> with a 100× Olympus objective. The spectral resolution of the spectrometer is 0.7 cm<sup>–1</sup>. A Coherent laser 70-C5 Ar+, having a wavelength of 514.532 nm, is used for the excitation line.

The file dataliste.csv contains a list of the spectra together with the sample name and water contents in wt%. See Tables 1 and 2 in Le Losq et al. (2012) for corresponding sample chemical composition and errors on water concentrations, as well as supplementary information for a table containing the regions of interest for background fitting.

Reference

Le Losq, C., Neuville, D.R., Moretti, R., Roux, J., 2012. Determination of water content in silicate glasses using Raman spectrometry: Implications for the study of explosive volcanism. American Mineralogist 97, 779–790. https://doi.org/10.2138/am.2012.3831
description: {"references": ["Le Losq, C., Neuville, D.R., Moretti, R., Roux, J., 2012. Determination of water content in silicate glasses using Raman spectrometry: Implications for the study of explosive volcanism. American Mineralogist 97, 779\u2013790. https://doi.org/10.2138/am.2012.3831"]}
DOI: 10.5281/zenodo.1183413
title: Raman Spectra Dataset Of Hydrous Glasses Of Le Losq Et Al., 2012, Am. Min 97:779-790

description: This dataset contains Raman spectra of hydrous glasses used in the publication of Le Losq et al. (2012) to implement a chemical-independent method to quantify water content of glasses with Raman spectroscopy.

Spectra are unprocessed. They were acquired with a T64000 Jobin-Yvon triple grating Raman spectrometer equipped with a confocal system, a 1024 CCD detector cooled by liquid nitrogen and an Olympus microscope. The optimal spatial resolution allowed by the confocal system is 1–2 μm<sup>2</sup> with a 100× Olympus objective. The spectral resolution of the spectrometer is 0.7 cm<sup>–1</sup>. A Coherent laser 70-C5 Ar+, having a wavelength of 514.532 nm, is used for the excitation line.

The file dataliste.csv contains a list of the spectra together with the sample name and water contents in wt%. See Tables 1 and 2 in Le Losq et al. (2012) for corresponding sample chemical composition and errors on water concentrations, as well as supplementary information for a table containing the regions of interest for background fitting.

Reference

Le Losq, C., Neuville, D.R., Moretti, R., Roux, J., 2012. Determination of water content in silicate glasses using Raman spectrometry: Implications for the study of explosive volcanism. American Mineralogist 97, 779–790. https://doi.org/10.2138/am.2012.3831
description: {"references": ["Le Losq, C., Neuville, D.R., Moretti, R., Roux, J., 2012. Determination of water content in silicate glasses using Raman spectrometry: Implications for the study of explosive volcanism. American Mineralogist 97, 779\u2013790. https://doi.org/10.2138/am.2012.3831"]}
DOI: 10.6073/pasta/77c49d734eb2100de4f8ce771f7c8755
title: GIS Shapefile - Counties, MSA - County boundaries within the BES Main Study Area.

description: County boundaries for the BES Metropolitan Study Area (MSA) derived from year 2000 GDT census data. This is the universal MSA boundary for all BES research.  The MSA consists of the following 5 counties: Baltimore City, Baltimore County, Anne Arrundel, Carroll, Harford, and Howard.
      
      
          This is part of a collection of  Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase itself is available online at beslter.org or lternet.edu.  It is considerably large.  Upon request, it can be shipped to you on media, such as a flash drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/aaf48dfb0a373d58734fe255c1c5eed5
title: GIS Shapefile - Long Term Sampling Grid, 300 Meters, Baltimore MSA - BES Main Study Area

description: Long term sampling framework for the Baltimore MSA comprised of contiguous 300 meter grid cells.  Used for: telephone survey, field observation survey (observational and photo data), and key informant photo-documentation (text / narrative and photo data).  A unique ID, 'GridCell', is used to establish the relationship between this layer and the field data.
      
      
          This is part of a collection of  Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase itself is available online at beslter.org or lternet.edu.  It is considerably large.  Upon request, it can be shipped to you on media, such as a flash drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/de193c9ed98b7e36204b0237d72b4f1d
title: GIS Shapefile - Long Term Sampling Grid, 100 Meters, Baltimore MSA - BES Main Study Area

description: Long term sampling framework for the Baltimore MSA comprised of contiguous 100 meter grid cells.  Used for: telephone survey, field observation survey (observational and photo data), and key informant photo-documentation (text / narrative and photo data).  A unique ID, 'GridCell', is used to establish the relationship between this layer and the field data.
      
      
          This is part of a collection of  Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase itself is available online at beslter.org or lternet.edu.  It is considerably large.  Upon request, it can be shipped to you on media, such as a flash drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.5281/zenodo.1183257
title: Monthly Standardized Precipitation Evapotranspiration Index (Spei) For Australia At 0.05 Degree From 1982 To 2014

description: This SPEI is calculated using R's SPEI package in 'kernel -- rectangular', 'distribute -- log-Logistic' and 'fit -- ub-pwm' mode, with AWAP's monthly rainfall and ALWB's potential evapotranspiration.

SPEI package: https://cran.r-project.org/web/packages/SPEI/index.html

AWAP website: http://www.csiro.au/awap/

Australian Landscape Water Balance website: http://www.bom.gov.au/water/landscape/
DOI: 10.5281/zenodo.1183258
title: Monthly Standardized Precipitation Evapotranspiration Index (Spei) For Australia At 0.05 Degree From 1982 To 2014

description: This SPEI is calculated using R's SPEI package in 'kernel -- rectangular', 'distribute -- log-Logistic' and 'fit -- ub-pwm' mode, with AWAP's monthly rainfall and ALWB's potential evapotranspiration.

SPEI package: https://cran.r-project.org/web/packages/SPEI/index.html

AWAP website: http://www.csiro.au/awap/

Australian Landscape Water Balance website: http://www.bom.gov.au/water/landscape/
DOI: 10.6073/pasta/3395b86dd2b16a8c9d9a9311763056f2
title: GIS Shapefile - Transportation, Railroads, GDT, MSA

description: Railroads for Baltimore Ecosystem Study area sourced from Geographic Data Technology (GDT) Dynamap/Transportation version 6.1. This is considered to be the best available railroads layer for the MSA. Refer to the enclosed documentation for details on Dynamap/Transportation.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/b399232a0c70f334d382186ac88bfb6d
title: GIS Shapefile - Transportation, Light Rail, Baltimore City

description: Single light rail line that runs north/south through Baltimore City and into Baltimore County.  No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata.  When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed.  As a result caution should be taken when using this dataset. There are no attributes associated with this dataset.  For the best available railroads data use the Railroads_GDT_MSA dataset.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/deb7290737410277d65a342a81f318b7
title: GIS Shapefile - Neighborhood boundaries for neighborhoods within  Baltimore City

description: Neighborhoods within Baltimore City limits.  This dataset was sourced from Baltimore Neighborhood Indicators Alliance (BNIA).  No additional 
      
          metadata was provided with the dataset.
      
      
          This is part of a collection of Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.17632/3jx5662f8j.1
title: Data for: The effects of electrocoagulation on phosphorus removal and particle settling ability in swine manure

description: This dataset contains all the data in the article "The effects of electrocoagulation on phosphorus removal and particle settling ability in swine manure". The figures in this article were generated from this dataset.
DOI: 10.5281/zenodo.1183366
title: Adult Reading History Questionnaire Data

description: Reading History Questionnaire Responses and standardized test scores.
DOI: 10.5281/zenodo.1183367
title: Adult Reading History Questionnaire Data

description: Reading History Questionnaire Responses and standardized test scores.
DOI: 10.6073/pasta/2ac4f5c5dc2edbf1a8b1d97e4c742c1f
title: GIS Shapefile - Transportation, Parking Facilities, Baltimore City

description: Parking lots along with related tax and owner information for Baltimore City.  No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata.  When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed.  As a result caution should be taken when using this dataset.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
DOI: 10.6073/pasta/56ec510494713f9803a8189c06a91a72
title: GIS Shapefile - Transportation, Light Rail Stations, Baltimore City

description: Lightrail stations for a single light rail line that runs north/south through Baltimore City and into Baltimore County.  No metadata was provided with this dataset; the UVM Spatial Analysis Lab has attempted to evaluate this dataset and generate metadata.  When compared to high-resolution imagery and other transportation datasets positional inaccuracies were observed.  As a result caution should be taken when using this dataset. Attributes consist of the station name and associated MTA bus information.  For the best available railroads data use the Railroads_GDT_MSA dataset.
      
      
          This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
      
      
          The geodatabase is available online and is considerably large.  Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
      
      
          The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
      
      
          Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.