The Near Infrared Mapping Spectrometer (NIMS) on the Galileo spacecraft took unique data of Comet Shoemaker-Levy/9's impact with Jupiter. A preliminary analysis of this data is presented in this submission to the Planetary Data System (PDS). It consists of nine small tables with detached labels and documentation.

Datasets selected for https://hal.science/hal-04345931Check the paper to see the original source and license.

The Global Fire Emissions Indicators, Country-Level Tabular Data: 1997-2015 contains country tabulations from 1997 to 2015 for the total area burned (hectares) and total carbon content (tons). The annual total area burned is for all fire types per country. There are two groups of total carbon content (TCC), annual totals for all six fire types per country and annual totals for each of six fire types per country which include Agricultural, Boreal, Tropical Deforestation, Peat, Savanna, and Temperate forest fires.

Since its inception in 1920, the Alberta Geological Survey (AGS) has drilled several thousand boreholes across the province. Most were drilled only into the unconsolidated sediments overlying the top of bedrock. In 2010, AGS staff began a project to systematically compile all of the borehole log information into a database. This Digital Data product and its companion Open File Report, OFR 2014-06 are the interim results of this initiative. The dataset comprises three tables: Sources.txt, Boreholes.txt and Intervals.txt, as well as metadata. The Sources table gives summary information about the AGS project for which each borehole was drilled. The Boreholes table gives summary information about each borehole, such as location, drilling method, date, and total depth of the hole. The Intervals table gives descriptive geological information about each distinct geological horizon encountered in the borehole, including lithology and colour of the material. The tables have primary keys on them so they may be loaded into a relational database, GIS system, or geological modelling program. This dataset is an interim release of 266 boreholes.

This dataset includes the input (raw survey data, computational mesh, hydrologic boundary conditions) and output data for a 2-dimensional hydraulic and sediment transport model of the lower Snow River flood plain near Seward, Alaska. Four outburst flood scenarios were simulated, including 3 historical floods and one hypothetical larger flood. The methods of deriving these datasets and using them to calculate scour are described in the associated USGS Scientific Investigations Report "Recent history of glacial outburst floods, analysis of channel changes, and development of a 2-dimensional flow and sediment transport model of the Snow River near Seward, Alaska".

The datatablesview extension for CKAN enhances the display of tabular datasets within CKAN by integrating the DataTables JavaScript library. As a fork of a previous DataTables CKAN plugin, this extension aims to provide improved functionality and maintainability for presenting data in a user-friendly and interactive tabular format. This tool focuses on making data more accessible and easier to explore directly within the CKAN interface. Key Features: Enhanced Data Visualization: Transforms standard CKAN dataset views into interactive tables using the DataTables library, providing a more engaging user experience compared to plain HTML tables. Interactive Table Functionality: Includes features such as sorting, filtering, and pagination within the data table, allowing users to easily navigate and analyze large datasets directly in the browser. Improved Data Accessibility: Makes tabular data more accessible to a wider range of users by providing intuitive tools to explore and understand the information. Presumed Customizable Appearance: Given that it is based on DataTables, users will likely be able to customize the look and feel of the tables through DataTables configuration options (note: this is an assumption based on standard DataTables usage and may require coding). Use Cases (based on typical DataTables applications): Government Data Portals: Display complex government datasets in a format that is easy for citizens to search, filter, and understand, enhancing transparency and promoting data-driven decision-making. For example, presenting financial data, population statistics, or environmental monitoring results. Research Data Repositories: Allow researchers to quickly explore and analyze large scientific datasets directly within the CKAN interface, facilitating data discovery and collaboration. Corporate Data Catalogs: Enable business users to easily access and manipulate tabular data relevant to their roles, improving data literacy and enabling data-informed business strategies. Technical Integration (inferred from CKAN extension structure): The extension likely operates by leveraging CKAN's plugin architecture to override the default dataset view for tabular data. Its implementation likely uses CKAN's templating system to render datasets using DataTables' JavaScript and CSS, enhancing data-viewing experience. Benefits & Impact: By implementing the datatablesview extension, organizations can improve the user experience when accessing and exploring tabular datasets within their CKAN instances. The enhanced interactivity and data exploration features can lead to increased data utilization, improved data literacy, and more effective data-driven decision-making within organizations and communities.

Vascular plant inventory tabular data for Fort Vancouver National Historic Site, 2000-2001. This project had two objectives: 1) to compile a vascular plant list for the park, 2) to verify this list at the 90% level. A vascular plant inventory was conducted at Fort Vancouver National Historic Site between September 2000 and August 2001. Prior to initiating the inventory, data mining efforts developed a preliminary plant list of 60 vascular plant species based on park reports on vegetation resources. Field surveys were conducted to document vascular plant species present,estimate abundance, and to collect voucher specimens of all plant species. Species abundance was estimated for the entire park and for each of five management zones using NPSpecies abundance classes. Field surveys documented 163 vascular plant species and collected 92 herbarium specimens that were deposited in the park’s curatorial facility. Approximately 74% of the species were exotic and there were no native species listed as sensitive by the Washington Natural Heritage Program (Washington Natural Heritage Program 2009). The list of exotic species included 1 class A species (giant hogweed, Heracleum mantegazzianum), 12 class B species, and 11 Class C species.

UNI-CEN Standardized Census Data Tables contain Census data that have been reformatted into a common table format with standardized variable names and codes. The data are provided in two tabular formats for different use cases. "Long" tables are suitable for use in statistical environments, while "wide" tables are commonly used in GIS environments. The long tables are provided in Stata Binary (dta) format, which is readable by all statistics software. The wide tables are provided in comma-separated values (csv) and dBase 3 (dbf) formats with codebooks. The wide tables are easily joined to the UNI-CEN Digital Boundary Files. For the csv files, a .csvt file is provided to ensure that column data formats are correctly formatted when importing into QGIS. A schema.ini file does the same when importing into ArcGIS environments. As the DBF file format supports a maximum of 250 columns, tables with a larger number of variables are divided into multiple DBF files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.

📣 Challenge Details: In this data-driven hackathon, participants will develop machine learning models to predict the BeatsPerMinute based on Music Track BPM Data.

The Institute for Bird Populations (IBP) collaborated with personnel at Mount Rainier National Park to initiate a Park-wide inventory of landbirds. The goals of the inventory were to estimate habitat-specific density and park-wide abundance for a large suite of species, and to produce information that will assist park managers and cooperators in designing the park's long-term landbird monitoring program. We used variable circular plot point counts to describe avian presence and abundance at specific points spaced 200 m along randomly selected transects in accessible areas of the park. We recorded all species detected and the linear distance to each bird when first seen, date, time, and level of ambient noise. A journal was kept for each field day describing location (UTM coordinates), Pacific Meridian Resources habitat type (cover type), and elevation. At each point, vegetation was sampled to describe habitat structure and composition within a circular 50 m radius plot centered at the point count survey point. Data from this rapid characterization included aspect, slope, vegetation cover (herbaceous, shrub, and tree), and densiometer readings recorded along 20 m transects in the 4 cardinal directions.

Table F is the Expenditure and Income for the Budget Year and Estimated Outturn for the previous Year. It contains –‘Expenditure’ and ‘Income’ Adopted by the Council for the Budget Year; 'Expenditure’ and ‘Income’ Estimated by the Chief Executive for the Budget Year; 'Expenditure’ and ‘Income’ Adopted by the Council for the previous Year; ‘Expenditure’ and ‘Income’ Estimated Outturn for the previous Year. Table F provides a breakdown of the Expenditure to Sub-Service level and Income to Income Source per Council Division contained in Table A.In the published Annual Budget document, Table F is published as a separate table for each Division.Section 1 of Table F contains Expenditure broken down by ‘Division’, ‘Service’ and ‘Sub-Service’. Section 2 of Table F contains Income broken down by ‘Division’, ‘Income Type’ and ‘Income Source’. The data in this dataset is best interpreted by comparison with Table F in the published Annual Budget document which can be found at https://www.sdcc.ie/en/services/our-council/policies-and-plans/budgets-and-spending/annual-budget/Data fields for Table F are as follows –Doc : Table Reference Heading : Indicates sections in the Table - Table F is comprised of two sections : Income and Expenditure. Heading = 1 for all Expenditure records; Heading = 2 for all Income records. Ref : Division Reference Ref_Desc : Division Description Ref1 : Service Reference for all Expenditure records (i.e. Heading = 1) or Income Type for all Income records (i.e. Heading = 2) Ref1_Desc : Service Description for all Expenditure records (i.e. Heading = 1) or Income Type for all Income records (i.e. Heading = 2) Ref2 : Sub-Service Reference for all Expenditure records (i.e. Heading = 1) or Income Source for all Income records (i.e. Heading = 2) Ref2_Desc : Sub-Service Description for all Expenditure records (i.e. Heading = 1) or Income Source for all Income records (i.e. Heading = 2) Adop : Amount Adopted by Council for Budget Year EstCE : Amount Estimated by Chief Executive for Budget Year PY_Adop : Amount Adopted by Council for previous Financial Year PY_Outturn : Amount Estimated Outturn for previous Financial Year

Inspection records according to the Community Development TRAKiT system. To view locations, please use the spatial version of this data.

Macau Gaming: Number of Gaming Table data was reported at 6,598.000 Unit in Sep 2018. This records an increase from the previous number of 6,588.000 Unit for Jun 2018. Macau Gaming: Number of Gaming Table data is updated quarterly, averaging 5,302.000 Unit from Mar 2005 (Median) to Sep 2018, with 55 observations. The data reached an all-time high of 6,598.000 Unit in Sep 2018 and a record low of 1,226.000 Unit in Mar 2005. Macau Gaming: Number of Gaming Table data remains active status in CEIC and is reported by Gaming Inspection and Coordination Bureau. The data is categorized under Global Database’s Macau SAR – Table MO.Q019: Number of Casinos and Gaming Tables.

raw correlation Au+Au 20-60%, 3<p_{\text{T}}^{(t)}<4 GeV/c, 1<p_{\text{T}}^{(a)}<2 GeV/c, slice 4

This excel file contains 7 tabs, each tabs contains the data for one specific figure in the paper. Description of the data and column names is also provided in each tab.

This dataset is associated with the following publication: Wang, J., D. Hallinger, A. Murr, A. Buckalew, S. Simmons, S. Laws, and T. Stoker. High-Throughput Screening and Quantitative Chemical Ranking for Sodium Iodide Symporter Inhibitors in ToxCast Phase 1 Chemical Library. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(9): 5417-5426, (2018).

The complete dataset used in the analysis comprises 36 samples, each described by 11 numeric features and 1 target. The attributes considered were caspase 3/7 activity, Mitotracker red CMXRos area and intensity (3 h and 24 h incubations with both compounds), Mitosox oxidation (3 h incubation with the referred compounds) and oxidation rate, DCFDA fluorescence (3 h and 24 h incubations with either compound) and oxidation rate, and DQ BSA hydrolysis. The target of each instance corresponds to one of the 9 possible classes (4 samples per class): Control, 6.25, 12.5, 25 and 50 µM for 6-OHDA and 0.03, 0.06, 0.125 and 0.25 µM for rotenone. The dataset is balanced, it does not contain any missing values and data was standardized across features. The small number of samples prevented a full and strong statistical analysis of the results. Nevertheless, it allowed the identification of relevant hidden patterns and trends.

Exploratory data analysis, information gain, hierarchical clustering, and supervised predictive modeling were performed using Orange Data Mining version 3.25.1 [41]. Hierarchical clustering was performed using the Euclidean distance metric and weighted linkage. Cluster maps were plotted to relate the features with higher mutual information (in rows) with instances (in columns), with the color of each cell representing the normalized level of a particular feature in a specific instance. The information is grouped both in rows and in columns by a two-way hierarchical clustering method using the Euclidean distances and average linkage. Stratified cross-validation was used to train the supervised decision tree. A set of preliminary empirical experiments were performed to choose the best parameters for each algorithm, and we verified that, within moderate variations, there were no significant changes in the outcome. The following settings were adopted for the decision tree algorithm: minimum number of samples in leaves: 2; minimum number of samples required to split an internal node: 5; stop splitting when majority reaches: 95%; criterion: gain ratio. The performance of the supervised model was assessed using accuracy, precision, recall, F-measure and area under the ROC curve (AUC) metrics.

The paper discusses the capabilities of large language models (LLMs) in the context of table representation learning, and proposes an evasive entity-swap attack for the column type annotation (CTA) task.

The State of Iowa Mobility Manager areas of responsibility, rural transit agencies and public transit system locations in Iowa. Tabular data for Transit Bus Replacement.

Subscribers can access export and import data for 80 countries using HS codes or product names-ideal for informed market analysis.

This dataset provides information about the number of properties, residents, and average property values for Table Mountain Parkway cross streets in Golden, CO.