100+ datasets found
  1. q

    Introduction to Data Management, Life History, and Demography

    • qubeshub.org
    Updated May 29, 2020
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    Risa Cohen (2020). Introduction to Data Management, Life History, and Demography [Dataset]. http://doi.org/10.25334/HGM1-CF21
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    Dataset updated
    May 29, 2020
    Dataset provided by
    QUBES
    Authors
    Risa Cohen
    Description

    Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life tables • collect, manage and analyze data to test hypotheses

  2. e

    Introduction to Data Analytics

    • paper.erudition.co.in
    html
    Updated Dec 3, 2025
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    Einetic (2025). Introduction to Data Analytics [Dataset]. https://paper.erudition.co.in/makaut/bachelor-in-business-administration-2020-2021/5/data-analytics-skills-for-managers
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    htmlAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Introduction to Data Analytics of Data Analytics Skills for Managers, 5th Semester , Bachelor in Business Administration 2020 - 2021

  3. Sales Data Presentation - Dashboards

    • kaggle.com
    zip
    Updated Nov 29, 2023
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    Satya Manidhar V (2023). Sales Data Presentation - Dashboards [Dataset]. https://www.kaggle.com/datasets/satyamanidharv/sales-data-presentation-dashboards
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    zip(763979 bytes)Available download formats
    Dataset updated
    Nov 29, 2023
    Authors
    Satya Manidhar V
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    In today's data-driven world, extracting meaningful insights from vast amounts of information is crucial for informed decision-making. This presentation tackles the challenge of creating presentable data visualizations based on employee type and region of sales.

    Leveraging the power of PivotTables in Microsoft Excel, we will delve into a comprehensive approach to transforming raw sales data into compelling visual representations. By mastering PivotTable techniques, we will gain insights into employee sales trends, identify top performers, and uncover regional sales patterns.

  4. u

    Data from: Introducing Attribute Association Graphs to Facilitate Medical...

    • fdr.uni-hamburg.de
    csv, dump, json, pdf
    Updated Jun 12, 2023
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    Louis Bellmann; Alexander Johannes Wiederhold; Leona Trübe; Raphael Twerenbold; Frank Ückert; Karl Gottfried (2023). Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data [Dataset]. http://doi.org/10.25592/uhhfdm.13421
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    dump, csv, pdf, jsonAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    University Medical Center Hamburg-Eppendorf, Institute for Applied Medical Informatics, Christoph-Probst-Weg 1, 20251 Hamburg, Germany
    University Medical Center Hamburg-Eppendorf, University Heart & Vascular Center Hamburg, Hamburg, Germany
    Authors
    Louis Bellmann; Alexander Johannes Wiederhold; Leona Trübe; Raphael Twerenbold; Frank Ückert; Karl Gottfried
    License

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

    Description

    This dataset capures statistical analysis of the HCHS cohort study using an attribute association graph and dashboard. This graph structure considers and visualizes subject attributes, their association with disease and control cohorts, and conditional relationships between attributes. Properties of 10,000 participants were analyzed for their association with cardiovascular disease. The data is presented in the form of Neo4J database dumps and can be installed and explored following the given user guide.

  5. Titanic Dataset

    • kaggle.com
    zip
    Updated Jan 31, 2021
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    Daniel Montilla (2021). Titanic Dataset [Dataset]. https://www.kaggle.com/danielmontilla/titanic-dataset
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    zip(22558 bytes)Available download formats
    Dataset updated
    Jan 31, 2021
    Authors
    Daniel Montilla
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Udacity course "Intro to Data Analysis" final project dataset.

  6. Overseas Market Introduction Service - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Dec 19, 2013
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    ckan.publishing.service.gov.uk (2013). Overseas Market Introduction Service - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/overseas-market-introduction-service
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    Dataset updated
    Dec 19, 2013
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Customer names, addresses etc.

  7. e

    Data from: Introduction to Marketing Research

    • paper.erudition.co.in
    html
    + more versions
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    Einetic, Introduction to Marketing Research [Dataset]. https://paper.erudition.co.in/makaut/master-of-business-administration-2023-24/3/marketing-research-and-analytics
    Explore at:
    htmlAvailable download formats
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Introduction to Marketing Research of Marketing Research and Analytics, 3rd semester , Master of Business Administration (2023-24)

  8. d

    Interagency Data Team Presentation June 25, 2020

    • catalog.data.gov
    • hub.arcgis.com
    Updated Feb 4, 2025
    + more versions
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    City of Washington, DC (2025). Interagency Data Team Presentation June 25, 2020 [Dataset]. https://catalog.data.gov/dataset/interagency-data-team-presentation-june-25-2020
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Presentation slides from the Interagency Data Team meeting. The Interagency Data Team is a community of data analysts, or agency liaisons, who convene regularly with representation from DC agencies of all persuasions. Participants engage in discussions regarding the team’s core mission and priorities for a better kind of data culture – collection, application, sharing, classification and governance to name a few. The team is coordinated by the Office of the Chief Technology Officer (OCTO), lead by the Chief Data Officer (CDO), and directly supports the District of Columbia's Data Policy.

  9. d

    Data from: Assessing patterns in introduction pathways of alien species by...

    • datadryad.org
    • datasetcatalog.nlm.nih.gov
    • +1more
    zip
    Updated Oct 14, 2017
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    Wolf-Christian Saul; Helen E. Roy; Olaf Booy; Lucilla Carnevali; Hsuan-Ju Chen; Piero Genovesi; Colin A. Harrower; Philip E. Hulme; Shyama Pagad; Jan Pergl; Jonathan M. Jeschke (2017). Assessing patterns in introduction pathways of alien species by linking major invasion databases [Dataset]. http://doi.org/10.5061/dryad.m93f6
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    zipAvailable download formats
    Dataset updated
    Oct 14, 2017
    Dataset provided by
    Dryad
    Authors
    Wolf-Christian Saul; Helen E. Roy; Olaf Booy; Lucilla Carnevali; Hsuan-Ju Chen; Piero Genovesi; Colin A. Harrower; Philip E. Hulme; Shyama Pagad; Jan Pergl; Jonathan M. Jeschke
    Time period covered
    Oct 12, 2016
    Area covered
    Europe, global
    Description

    Introduction pathways of alien speciesThe data file INTRODUCTION_PATHWAYS.xls contains information for 8323 introduced species regarding introduction pathways, taxonomic group (plants, vertebrates, invertebrates, algae, fungi, other), inhabited environment (terrestrial, freshwater, marine) and listing status on three different lists of worst invasive alien species. Pathway data were retrieved from the Invasive Alien Species Pathway Management Resource (IASPMR, www.pathway-toolbox.auckland.ac.nz), including all pathway information contained in the Global Invasive Species Database (GISD, www.iucngisd.org), and from DAISIE European Invasive Alien Species Gateway (www.europe-aliens.org). The README file provides basic descriptions of the variables in the data file. For full details on data handling and pathway categorisation see Saul et al. (2016, J Appl Ecol).INTRODUCTION_PATHWAYS.xls

  10. H

    Data and Code for the Introduction to Seasonal Snow Observations, Modeling,...

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Jul 11, 2025
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    Irene Garousi-Nejad; Ryan Johnson (2025). Data and Code for the Introduction to Seasonal Snow Observations, Modeling, and Analysis HydroLearn Module [Dataset]. https://www.hydroshare.org/resource/7ba65b396c8b46dca0cd33dd3b8c1230
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    zip(642.3 MB)Available download formats
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    HydroShare
    Authors
    Irene Garousi-Nejad; Ryan Johnson
    License

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

    Area covered
    Description

    This resource contains codes and data for the learning activities described in the HydroLearn module, titled Introduction to Seasonal Snow Observations, Modeling, and Analysis.

    This resource is shared under the Creative Commons Attribution 4.0 International (CC BY 4.0) License. Any use of the content, including text, images, and figures, requires proper attribution. Please refer to the How to Cite section for guidance on appropriate citation.

  11. c

    Data from: Freshwater Introduction South of Highway 82 (ME-16): 2018...

    • s.cnmilf.com
    • data.usgs.gov
    • +2more
    Updated Sep 30, 2025
    + more versions
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    U.S. Geological Survey (2025). Freshwater Introduction South of Highway 82 (ME-16): 2018 land-water classification [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/freshwater-introduction-south-of-highway-82-me-16-2018-land-water-classification
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    U.S. Geological Survey
    Description

    The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Freshwater Introduction South of Highway 82 (ME-16) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

  12. V

    Data from: Th2 cytokines and asthma: an introduction

    • data.virginia.gov
    • catalog.data.gov
    html
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Th2 cytokines and asthma: an introduction [Dataset]. https://data.virginia.gov/dataset/th2-cytokines-and-asthma-an-introduction
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    htmlAvailable download formats
    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Th2 cytokines and asthma: an introduction

  13. Immcantation Introductory Tutorial Data

    • zenodo.org
    • data.niaid.nih.gov
    bin
    Updated Nov 3, 2023
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    S Marquez; S Marquez (2023). Immcantation Introductory Tutorial Data [Dataset]. http://doi.org/10.5281/zenodo.10046916
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    binAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    S Marquez; S Marquez
    License

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

    Description

    Necessary datasets to run the Immcantation Introductory Tutorial. Below is the description of the files in the data set.

    • input.fasta: Example data from "Identification of Subject-Specific Immunoglobulin Alleles From Expressed Repertoire Sequencing Data" (Laserson et al. (2014)). Processed B cell receptor reads from one healthy donor (PGP1) 3 weeks after flu vaccination. As part of the processing, each sequence has been annotated with the isotype.

  14. s

    Data portal presentation

    • tonga-data.sprep.org
    • pacific-data.sprep.org
    pptx
    Updated Nov 2, 2022
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    Department of Environment, Tonga (2022). Data portal presentation [Dataset]. https://tonga-data.sprep.org/dataset/data-portal-presentation
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    pptx(293085214)Available download formats
    Dataset updated
    Nov 2, 2022
    Dataset provided by
    Department of Environment, Tonga
    License

    https://pacific-data.sprep.org/resource/shared-data-license-agreementhttps://pacific-data.sprep.org/resource/shared-data-license-agreement

    Area covered
    Tonga
    Description

    Powerpoint presentation on the data portal

  15. Data Behind Figures of "GWTC-4.0: An Introduction to Version 4.0 of the...

    • zenodo.org
    text/x-python
    Updated Sep 21, 2025
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    Zenodo (2025). Data Behind Figures of "GWTC-4.0: An Introduction to Version 4.0 of the Gravitational Wave Transient Catalog" [Dataset]. http://doi.org/10.5281/zenodo.17151534
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    text/x-pythonAvailable download formats
    Dataset updated
    Sep 21, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    License

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

    Description

    Data Behind Figures

    Summary

    Files providing the data behind figures 1, 2, and 3 of GWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog

    Contents

    The scripts provided contain the data needed to reproduce the corresponding figures, but they themselves produce simplified versions of those figures.

    • data_behind_fig1.py: Example Python script containing data behind Figure 1
    • data_behind_fig2.py: Example Python script containing data behind Figure 2
    • data_behind_fig3.py: Example Python script containing data behind Figure 3
  16. n

    Amazona obscured occurrences, background points, and environmental data

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    zip
    Updated Feb 18, 2024
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    Brenda Ramirez; Rowdy Freeland; Allison Muhlheim; Amanda Zellmer; Devon DeRaad; Eliza Kirsch; Marquette Mutchler; Maeve Secor; Kelsey Reckling; Margaret Schedl; Brooke Durham; Whitney Tsai; Ryan Terrill; Siddharth Sannapareddy; Ashwin Sivakumar; Kimball Garrett (2024). Amazona obscured occurrences, background points, and environmental data [Dataset]. http://doi.org/10.5061/dryad.280gb5mvg
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    zipAvailable download formats
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    Natural History Museum of Los Angeles County
    SoCal Parrot
    Flintridge Preparatory School
    Occidental College
    Authors
    Brenda Ramirez; Rowdy Freeland; Allison Muhlheim; Amanda Zellmer; Devon DeRaad; Eliza Kirsch; Marquette Mutchler; Maeve Secor; Kelsey Reckling; Margaret Schedl; Brooke Durham; Whitney Tsai; Ryan Terrill; Siddharth Sannapareddy; Ashwin Sivakumar; Kimball Garrett
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Aim: Introduced species offer insight on whether and how organisms can shift their ecological niches during translocation. The genus Amazona offers a clear test case, where sister species Red-crowned (A. viridigenalis) and Lilac-crowned Parrots (A. finschi) have established breeding populations in southern California following introduction via the pet trade from Mexico where they do not coexist. After establishment in the 1980s, introduced population sizes have increased, with mixed species flocks found throughout urban Los Angeles. Here, we investigate the differences between the environmental conditions of the native and introduced ranges of these now co-occurring species. Location: Southern California and Mexico. Methods: Using environmental data on climate and habitat from their native and introduced ranges, we tested whether Red-crowned and Lilac-crowned Parrots have divergent realized niches between their native ranges, and whether each species has significantly shifted its realized niche to inhabit urban southern California. We also analyzed data from Texas and Florida introductions of Red-crowned Parrots for comparative analysis. Results: There are significant differences in the native-range niches of both parrot species, but a convergence into a novel, shared environmental niche into urban southern California, characterized by colder temperatures, less tree cover, and lower rainfall. Texas and Florida Red-crowned Parrots also show evidence for niche shifts with varying levels of niche conservatism through the establishment of somewhat different realized niches. Main Conclusions: Despite significant niche shifts, introduced parrots are thriving, suggesting a broad fundamental niche and an ability to exploit urban resources. Unique niche shifts in different U.S. introductions indicate that Amazona parrots can adapt to diverse environmental conditions, with cities offering a resource niche and the timing of introduction playing a crucial role. Cities can potentially serve as refugia for threatened parrot species, but the risk of hybridization between species emphasizes the need for ongoing monitoring and genetic investigations. Methods Observations for the Amazona parrots in southern California were collected on iNaturalist through the Free-Flying Los Angeles Parrot Project (FLAPP). Individual parrots were scored based on morphological features to confirm species identification. Only research-grade observations were included in our analysis, which was determined by two agreeing independent scorings of species identification. Observations for Amazona parrots in their separate native ranges of Mexico were downloaded from the eBird database, with filtering done to remove any observations found in introduced areas surrounding their native ranges. Red-crowned Parrot data for Texas and Florida was downloaded from eBird as well and filtered to only include observations with media for species identification. Buffers were created for each population to create randomly generated background points. Environmental data was downloaded from various online databases including Bioclim, MODIS data, and global scatterometer data. The environmental data was then pulled for each parrot (and randomly generated background points) for environmental comparison.

  17. e

    Data from: Introduction to Java Servlets

    • paper.erudition.co.in
    html
    Updated Nov 9, 2024
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    Einetic (2024). Introduction to Java Servlets [Dataset]. https://paper.erudition.co.in/makaut/master-of-computer-applications-2-years/3/web-enabled-java-programming
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Introduction to Java Servlets of Web Enabled JAVA Programming, 3rd Semester , Master of Computer Applications (2 Years)

  18. Introduction to Ecosystem Services" suite of 6 mini-lessons: Teacher Guide...

    • data.virginia.gov
    pdf
    Updated Oct 30, 2025
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    U.S. Environmental Protection Agency (2025). Introduction to Ecosystem Services" suite of 6 mini-lessons: Teacher Guide (pdf) [Dataset]. https://data.virginia.gov/dataset/introduction-to-ecosystem-services-suite-of-6-mini-lessons-teacher-guide-pdf
    Explore at:
    pdf(2107689)Available download formats
    Dataset updated
    Oct 30, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Authors
    U.S. Environmental Protection Agency
    Description

    This suite of six mini-lessons (designed for grades 4-6, but adaptable to multiple grades) introduces the concept of ecosystem services. The suite of all six lessons together uses a blended learning format to do three things (1) get kids outside, (2) engage students with an interactive, online, cutting-edge technology tool from the US EPA, and (3) have students participate in hands-on activities in their classrooms. These lessons could supplement ecosystems units across grade levels. Student handouts are printable and ready-to-go. Teacher handouts contain teacher instructions and science standards.

  19. e

    Data from: Introduction to Ethical Theories

    • paper.erudition.co.in
    html
    Updated Apr 3, 2021
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    Einetic (2021). Introduction to Ethical Theories [Dataset]. https://paper.erudition.co.in/makaut/bachelor-of-computer-applications/6/values-and-ethics-of-profession
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 3, 2021
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Introduction to Ethical Theories of Values and Ethics of Profession, 6th Semester , Bachelor of Computer Applications

  20. b

    Data from: Registry of introduced terrestrial molluscs in Belgium

    • data.biodiversity.be
    • gbif.org
    • +3more
    Updated Aug 20, 2024
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    (2024). Registry of introduced terrestrial molluscs in Belgium [Dataset]. https://data.biodiversity.be/dataset/e082b10e-476f-43c1-aa61-f8d92f33029a
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    Dataset updated
    Aug 20, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Belgium
    Description

    The Registry of introduced terrestrial molluscs in Belgium is a species checklist dataset published by the Royal Belgian Institute for Natural Sciences (RBINS). It contains information on all (29) non-native terrestrial molluscs occurring in the wild in Belgium since 1800. The list was originally compiled for EASIN (https://easin.jrc.ec.europa.eu/easin) and is based on a literature survey and information from the collections of the Royal Belgian Institute of Natural Sciences (RBINS). Here it is published as a standardized Darwin Core Archive and includes for each species: the accepted scientific name and associated synonyms, higher classification, detailed taxonomic background information and stable taxon identifier (in the taxon core), the (confidence regarding the) presence in Belgium, the year of the first introduction (first report), sometimes the last assessment/observation in Belgium and detailed verbatim information about the recorded introductions (in the distribution extension), vernacular names (in the vernacular names extension), the pathway(s) of introduction, native range(s) and degree of establishment in Belgium (in the description extension) and a detailed overview of the consulted resources (in the literature reference extension). The dataset can be used for researching and managing terrestrial alien molluscs or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/alien-mollusca-checklist We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project. This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.

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Risa Cohen (2020). Introduction to Data Management, Life History, and Demography [Dataset]. http://doi.org/10.25334/HGM1-CF21

Introduction to Data Management, Life History, and Demography

Explore at:
Dataset updated
May 29, 2020
Dataset provided by
QUBES
Authors
Risa Cohen
Description

Learning Goals: • explain importance of data management • identify elements of an organized data sheet • create & manipulate data in a spreadsheet • calculate vital statistics using life tables • collect, manage and analyze data to test hypotheses

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