NatureServe's Species Habitat Model Dashboard provides a live view of the completed and in-progress species habitat efforts to facilitate more transparency and knowledge sharing among NatureServe. NatureServe Network programs, and our partners. The dashboard summarizes data by one of the following three ways, accessible by tabs at the bottom of the page: Model Summaries, Model by Species, and Models by Geography.

Iris Petal and Sepal Dataset Description The Iris dataset is one of the most famous datasets in the field of machine learning and statistical classification. It was first introduced by British biologist and statistician Ronald Fisher in 1936 as an example of linear discriminant analysis. The dataset is widely used for educational purposes and model building in machine learning due to its simplicity and versatility.

Dataset Overview The dataset contains 150 observations of Iris flowers from three species:

Iris Setosa Iris Versicolor Iris Virginica Each observation includes four numerical features:

Sepal Length (cm) Sepal Width (cm) Petal Length (cm) Petal Width (cm) Additionally, the dataset provides a class label for the species of the Iris flower.

Feature Descriptions: Sepal Length: The length of the flower’s sepal in centimeters. Sepal Width: The width of the flower’s sepal in centimeters. Petal Length: The length of the flower’s petal in centimeters. Petal Width: The width of the flower’s petal in centimeters. Species: The class label that classifies the flower into one of three species (Setosa, Versicolor, Virginica). Data Summary: 150 instances (50 samples per species) 4 features (numeric data) 1 target variable (categorical – species of the flower) Applications: The dataset is often used for:

Classification tasks: Building models to classify the species of Iris flowers. Exploratory data analysis (EDA): Exploring relationships between features. Data visualization: Plotting petal and sepal dimensions to understand patterns. Predictive modeling: Training and testing machine learning algorithms such as k-nearest neighbors (KNN), support vector machines (SVM), and decision trees. Why This Dataset? The Iris dataset is ideal for beginners and experts alike, as it provides an easy introduction to supervised learning. It is perfect for understanding basic classification algorithms and exploring key concepts such as:

Multiclass classification Feature correlation Data visualization techniques This description is tailored for the Kaggle community and provides a clear overview of the dataset’s content and potential use cases. You can customize it further if needed!

This dashboard shows information about how the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES): permits issued service is currently performing.

This is a "beta" service. The dashboard shows number of digital transactions, total cost of transactions, cost per transaction and take-up of digital services. Performance Dashboards are likely to be used by many people, including:

government service managers and their teams journalists students and researchers members of the public interested in how public services are performing The service also provides the option of a download of the data. Attribution statement:

Dashboard charts showing only specimens of the linyphiid spider Tenuiphantes tenuis. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.

Every year the state receives federal funding through a competitive cost share grant for the sole purpose of helping to restore Utah's healthy landscapes. Having invasive species across landscapes degrades the land, and causes millions of acres to be uninhabitable to native species. Therefore one of our top priorities in the restoration of our landscapes is to actively eradicate and monitor invasive species.This dashboard has been designed to showcase those federally funded projects that involve invasive species in Utah and to report the activities that took place.

California supports one of the greatest displays of biodiversity in the nation and the world. The challenge posed by the 30x30 initiative, is to plan and implement conservation strategies which allow all Californians to continue to flourish and succeed, while also ensuring that we safeguard the great abundance of species which reside in this state, and in many cases, exist nowhere else on Earth. Maximizing the benefits of 30x30 for everyone requires, among many other factors, deliberate consideration of the landscape and the ways in which biodiversity is distributed within it. This Explorer introduces several types of biodiversity data for stakeholders to consider when engaged in conservation planning. The Biodiversity Explorer includes dashboards for the Areas of Conservation Emphasis (ACE) and Habitat and Land Cover datasets. These allow deeper explorations of the state’s exceptional biodiversity and the current state of conservation by land cover. The Areas of Conservation Emphasis (ACE) dashboard presents summaries of species data collected and analyzed by the California Department of Fish and Wildlife (CDFW) as part of its ongoing ACE project. ACE rolls multiple types of Species Richness into a Biodiversity Index, and also considers Connectivity, Climate Resilience, and Significant Habitats, all important factors to species and ecological health. The Habitat and Land Cover dashboard presents maps and summaries of land cover according to categories defined by the California Wildlife Habitat Relationship System (CWHR) maintained by CDFW. Conserving connected networks of all land cover types is key to conserving the species which depend upon them. The Habitat and Land Cover dashboard shows the percentage that each land cover type comprises within a county or ecoregion, and the degree to which it falls within already conserved areas.

This dashboard helps City of Midland Animal Services staff monitor and track animal intake trends, counts, and location using interactive mapping tools, filters, and analytics.How to UseThe data is categorized as either dogs, cats, or wildlife. Each point represents 1 animal capture. The data is primarily filterable by date and is split by months or multiple months for a larger look at the data. Nearly everything on the dashboard is interactable and can act as a filter to dissect the data as needed.Data UpdatesAnimal intake data is pulled in a tabular form from PetPoint systems used by Animal Services. The data is then geocoded based on "Location Found" field followed by spatially joining the Council District layer. A SpeciesValue field is also added and calculated based on “Species” field for better dashboard functionality. The data is updated once a month month as the data is received. For example, on January 1st, the data for December of the previous year will be appended.Coverage AreaCity of Midland, Texas (city limits) and Midland County, TexasCoordinate SystemNAD 1983 StatePlane Central Texas FIPS 4203

Explore the status of the invasive species project. Data in this dashboard is live!

The Biodiversity Credits Market Sales Dashboard (BAM market sales dashboard) provides current sales data for biodiversity credits created using the Biodiversity Assessment Method (BAM). The BAM market sales dashboard is a web-based tool giving access to biodiversity credit market data registered by the Environment Agency Head in the Biodiversity offsets scheme (BOS) public registers. The BAM market sales dashboard uses drag-and drop functionality to make it easy to extract and present biodiversity credit market data as dynamic and interactive data visualisations. The BAM market sales dashboard comprises 3 pages presenting information about the: market overview latest price for ecosystems credits latest price for species credits. The latest price is at which either a species or ecosystem credit was bought or sold for transference, as defined by section 6.19 of the Biodiversity Conservation Act 2016.

What types of offences do justice involved students commit?

This web map provides the spatial foundation for displaying biological survey points and species observations across Chesapeake Bay segments. Multiple biological survey datasets and species observations across Chesapeake Bay segments from fisheries-independent survey data are included, most of which was collected for the 2020 Tetra Tech report 'Inventory & Evaluation of Environmental and Biological Response Data for Fish Habitat Assessment' (https://www.chesapeakebay.net/what/publications/inventory-evaluation-of-environmental-and-biological-response-data-for-fish). The report only included data up to 2019 and as far back as the 1960’s. However, the data in this map only goes as far back as 1990. Several other layers are included in the map that were not part of the report. These include depth polygons of 1.8 meters and 3.6 meters from mean high tide as well as the polygon layer for the 92-Tidal Segments for the Chesapeake Bay. This map is used within an interactive dashboard, where filters and selections control which points are visible and serves only as a tool for visualizing biological survey points and species observations within the Chesapeake Bay.

The Biodiversity Credits Market Sales Dashboard (BAM market sales dashboard) provides current sales data for biodiversity credits created using the Biodiversity Assessment Method (BAM). The BAM market sales dashboard is a web-based tool giving access to biodiversity credit market data registered by the Environment Agency Head in the Biodiversity offsets scheme (BOS) public registers. The BAM market sales dashboard uses drag-and drop functionality to make it easy to extract and present biodiversity credit market data as dynamic and interactive data visualisations. The BAM market sales dashboard comprises 3 pages presenting information about the: market overview latest price for ecosystems credits latest price for species credits. The latest price is at which either a species or ecosystem credit was bought or sold for transference, as defined by section 6.19 of the Biodiversity Conservation Act 2016. Data and Resources

Endangered aquatic species list by Ecoregion summary table made for the data downloads feature within the USDA Forest Service - National Aquatic Biodiversity Assessment Dashboard. The species are summarized from the NatureServe HUC8 data and represent all endangered aquatic species that MAY be found within each Ecoregion. The lists were created by combining the species found in each HUC8 that intersects each Ecoregion.Source data for all species richness and species lists was developed by NatureServe in partnership with the USDA Forest Service.NatureServe. 2021. NatureServe Network Biodiversity Location Data. NatureServe, Arlington, Virginia. NatureServe. Learn more at https://www.natureserve.org/access-data.

This dataset contains 10,000 synthetic records simulating the migratory behavior of various bird species across global regions. Each entry represents a single bird tagged with a tracking device and includes detailed information such as flight distance, speed, altitude, weather conditions, tagging information, and migration outcomes.

The data was entirely synthetically generated using randomized yet realistic values based on known ranges from ornithological studies. It is ideal for practicing data analysis and visualization techniques without privacy concerns or real-world data access restrictions. Because it’s artificial, the dataset can be freely used in education, portfolio projects, demo dashboards, machine learning pipelines, or business intelligence training.

With over 40 columns, this dataset supports a wide array of analysis types. Analysts can explore questions like “Do certain species migrate in larger flocks?”, “How does weather impact nesting success?”, or “What conditions lead to migration interruptions?”. Users can also perform geospatial mapping of start and end locations, cluster birds by behavior, or build time series models based on migration months and environmental factors.

For data visualization, tools like Power BI, Python (Matplotlib/Seaborn/Plotly), or Excel can be used to create insightful dashboards and interactive charts.

Join the Fabric Community DataViz Contest | May 2025: https://community.fabric.microsoft.com/t5/Power-BI-Community-Blog/%EF%B8%8F-Fabric-Community-DataViz-Contest-May-2025/ba-p/4668560

Dashboard charts summarizing content from 5 articles published in Biodiversity Data Journal containing treatments on spiders. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 dashboard charts.

This is the dashboard for the habitat condition indicator family of the NSW Biodiversity Indicator Program. This dashboard presents data for the indicators ecological condition of terrestrial habitat and ecological carrying capacity of terrestrial habitat.

Habitat condition indicator family

The habitat condition indicator family is an overall measure of the capacity of habitats to support the original complement of native species and ecosystems. The ecological condition of terrestrial habitat indicator estimates the quality of terrestrial habitat at each location based on its intactness and naturalness. The ecological carrying capacity of terrestrial habitat indicator considers ecological condition at each location, as well as how surrounding habitat loss and fragmentation affect the ability of ecosystems to function and species to forage, disperse or migrate.

NSW Biodiversity Indicator Program

The NSW Biodiversity Indicator Program reports on the state and trends over time of biodiversity and ecological integrity in New South Wales. The program was established by the Biodiversity Conservation Act 2016. We have developed a framework of indicators to help scientists, managers and policy-makers understand the current state of biodiversity, how it has changed from the past, and how it is likely to change in the future.

The Biodiversity Explorer is a set of maps and summary information on species, natural communities, and habitat types tracked by the California Department of Fish and Wildlife (CDFW). Information is drawn from several key datasets of the Areas of Conservation Emphasis (ACE) project, and multiple vegetation mapping efforts across the state. A user can define an area of interest within an ecoregion to concurrently view aggregated landscape rankings from several ACE biodiversity indices, or view statistics on the conservation status of habitat types from within the Habitat and Land Cover dashboard.

Dashboard charts showing only specimens collected in Russia. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.

Florida’s coral reefs are currently experiencing a multi-year disease-related mortality event that has resulted in massive die-offs of approximately half of Florida’s 45 stony corals, including species listed on Endangered Species Act and primary reef-building species. These corals have been extirpated or reduced to extremely low abundances on many reefs along the Florida Reef Tract (FRT). First reported off the coast of Miami-Dade County in 2014, this disease outbreak now spans through the northernmost extent of the Florida Reef Tract (FRT) in Martin County down to Key West in the lower Florida Keys. As one part of a multi-pronged response approach, the Coral Rescue Subcommittee is developing a comprehensive plan to rescue susceptible coral species from both impacted and unimpacted reef systems in Florida, maintain these in ex-situ aquaria and laboratory facilities and in in-situ coral nurseries to 1) preserve genetic and species diversity and prevent local extinctions; and 2) propagate the these corals for use in experiments and future out-planting onto degraded reefs once the disease has been controlled.Financial assistance was provided by the State of Florida, administered by the Office of Resilience and Coastal Protection, within the Florida Department of Environmental Protection. Research and field collections for coral rescue occurred under permit distributed through the NOAA - Florida Keys National Marine Sanctuary.