6 datasets found
  1. Hydrographic and Impairment Statistics Database: ADAM

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Jun 4, 2024
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    National Park Service (2024). Hydrographic and Impairment Statistics Database: ADAM [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-adam
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    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  2. c

    ADAM Corpus

    • dspace-clarin-it.ilc.cnr.it
    Updated Jun 24, 2024
    + more versions
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    Roldano Cattoni; Morena Danieli; Claudia Soria (2024). ADAM Corpus [Dataset]. https://dspace-clarin-it.ilc.cnr.it/repository/xmlui/handle/20.500.11752/ILC-999
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    Dataset updated
    Jun 24, 2024
    Authors
    Roldano Cattoni; Morena Danieli; Claudia Soria
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The ADAM spoken corpus is a collection of 450 spoken dialogues: they are both human-human (200 dialogues) and human-machine (250 dialogues). All the dialogues are recordings and transcriptions of telephone conversations in the semantic domain of tourism and railway transportation. The format of the audio files is the standard format for telephone signal data recommended by the SPEECHDAT3 project directions. Each dialogue is annotated at five levels of linguistic information: prosody, morphosyntax, syntax, semantics and pragmatics. For each level a corresponding annotation scheme has been defined that provides annotation instructions, examples and criteria. The result of each annotation is an XML file that encodes the content of a dialogue with respect to a particular level according to the annotation scheme of that level. The human-human dialogues are simulated telephone conversations between two experimental subjects, playing the roles of a travel agent and of a caller, respectively. The human-machine dialogues were collected on the field: they are interactions between callers and the automatic telephone information service of the Italian railway company, recorded during an experimental phase of that service. Each dialogue in the ADAM corpus is represented by an orthographic transcription (physically an XML file), which in turn is linked to an audio file containing the corresponding recording. In addition, the transcription of each dialogue is associated to five XML annotation files, according to five different levels or layers of linguistic information, namely prosody, morphosyntax, syntax, semantics and pragmatics.

  3. Z

    Data from: AGENT Guidelines for dataflow

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 8, 2024
    + more versions
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    Brouwer, Matthijs (2024). AGENT Guidelines for dataflow [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12625359
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    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Adam-Blondon, Anne-Françoise
    Alaux, Michael
    Weise, Stephan
    Le Floch, Erwan
    Brouwer, Matthijs
    Schüler, Danuta
    Stein, Nils
    Pommier, Cyril
    Lange, Matthias
    Kersey, Paul
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The AGENT project aims at integrating data from different sources (genebanks, research institutes, international archives) and types (passport, phenotypic, genomic data).

    These guidelines have been developed to explain the data flow within the AGENT project and should be useful for other projects.

  4. Data from: Multi-State Recidivism Study Using Static-99R and Static-2002...

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Nov 28, 2023
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    National Institute of Justice (2023). Multi-State Recidivism Study Using Static-99R and Static-2002 Risk Scores and Tier Guidelines From the Adam Walsh Act, Florida, Minnesota, New Jersey, South Carolina, 1990-2004 [Dataset]. https://catalog.data.gov/dataset/multi-state-recidivism-study-using-static-99r-and-static-2002-risk-scores-and-tier-gu-1990-9b31a
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    Dataset updated
    Nov 28, 2023
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Description

    This study seeks to examine important components of our nation's sex offender tracking and monitoring systems, with a focus on risk assessment and sexual recidivism (measured by re-arrest). Data were collected from 1,789 adult sex offenders in the following states. Florida: 500 cases Minnesota: 500 cases New Jersey: 291 cases South Carolina: 498 cases The data file contains another 551 cases from the state of Massachusetts. However, due to how and when those cases were identified they were not included in the Principal Investigator's focus and analysis. There are also another 151 cases where a study participant's state is missing. Total there are 2,491 cases and 1,947 variables.

  5. n

    MedlinePlus

    • neuinfo.org
    • dknet.org
    • +1more
    Updated Jan 29, 2022
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    (2022). MedlinePlus [Dataset]. http://identifiers.org/RRID:SCR_006512
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    Dataset updated
    Jan 29, 2022
    Description

    Database of authoritative health information about diseases, conditions, and wellness issues that offers reliable, up-to-date health information for free. It contains the latest treatments, information on drugs and supplements, the meanings of words, and medical videos and illustrations. Links to the latest topic or disease specific medical research or clinical trials are also offered. * MedlinePlus pages contain carefully selected links to Web resources with health information on over 900 topics. ** The MedlinePlus health topic pages include links to current news on the topic and related information. You can also find preformulated searches of the MEDLINE/PubMed database, which allow you to find references to latest health professional articles on your topic. * The A.D.A.M. medical encyclopedia brings health consumers an extensive library of medical images and videos, as well as over 4,000 articles about diseases, tests, symptoms, injuries, and surgeries. * The Merriam-Webster medical dictionary allows you to look up definitions and spellings of medical words. * Drug and supplement information is available from the American Society of Health-System Pharmacists (ASHP) via AHFS Consumer Medication Information, and Natural Medicines Comprehensive Database Consumer Version. ** AHFS Consumer Medication Information provides extensive information about more than 1,000 brand name and generic prescription and over-the-counter drugs, including side effects, precautions and storage for each drug. ** Natural Medicines Comprehensive Database Consumer Version is an evidence-based collection of information on alternative treatments. MedlinePlus has 100 monographs on herbs and supplements. * Interactive tutorials from the Patient Education Institute explain over 165 procedures and conditions in easy-to-read language. An XML File for the MedlinePlus Health Topics is available, http://www.nlm.nih.gov/medlineplus/xmldescription.html. The ontology is available through Bioportal, http://bioportal.bioontology.org/ontologies/MEDLINEPLUS

  6. f

    Means and standard errors of GLAS and airborne LiDAR variables used in...

    • plos.figshare.com
    xls
    Updated Jun 9, 2023
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    Lee A. Vierling; Kerri T. Vierling; Patrick Adam; Andrew T. Hudak (2023). Means and standard errors of GLAS and airborne LiDAR variables used in sapsucker models. [Dataset]. http://doi.org/10.1371/journal.pone.0080988.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lee A. Vierling; Kerri T. Vierling; Patrick Adam; Andrew T. Hudak
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Means and standard errors of GLAS and airborne LiDAR variables used in sapsucker models.

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National Park Service (2024). Hydrographic and Impairment Statistics Database: ADAM [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-adam
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Hydrographic and Impairment Statistics Database: ADAM

Explore at:
Dataset updated
Jun 4, 2024
Dataset provided by
National Park Servicehttp://www.nps.gov/
Description

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

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