This project is a demo version of the eICU Collaborative Research Database, a multi-center database comprised of deidentified health data for over 200,000 admissions to ICUs across the United States between 2014-2015. The database includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, and treatment information. Data is collected through the Philips eICU program, a critical care telehealth program that delivers information to caregivers at the bedside. This open access demo allows researchers to ascertain whether the eICU Collaborative Research Database is suitable for their work. It includes over 2,500 unit stays selected from 20 of the larger hospitals in the eICU Collaborative Research Database.

The Medical Information Mart for Intensive Care (MIMIC)-IV database is comprised of deidentified electronic health records for patients admitted to the Beth Israel Deaconess Medical Center. Access to MIMIC-IV is limited to credentialed users. Here, we have provided an openly-available demo of MIMIC-IV containing a subset of 100 patients. The dataset includes similar content to MIMIC-IV, but excludes free-text clinical notes. The demo may be useful for running workshops and for assessing whether the MIMIC-IV is appropriate for a study before making an access request.

375 Global export shipment records of Demo Tool with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Note: This is a demo version of the dataset.

Overview

This dataset contains electrical measurements from the four inverters of the Kampusareena building's solar power plant. The plant has a maximum power production capacity of 57 kW, with the power output directed to the top floor ventilation machine room.

Solar Power Plant Specifications

• Total Capacity: 57 kW
• Location: Kampusareena building, Tampere University Hervanta campus

Inverter Configuration

The solar power plant consists of four inverters distributed across three walls:

• West Wall: 1x SMA STP8000TL (8 kW)
• Southwest Wall: 1x SMA STP15000TL (15 kW)
• Southeast Wall: 2x SMA STP17000TL (2 x 17 kW)

Measurements

The dataset includes various electrical parameters, such as:

• Frequency
• Current
• Voltage
• Power
• Energy

Data Collection Frequency

• Most data: 1-second interval
• Static inverter data: Once per day or upon collector restart (marked as "read once" in the available measurements list)

Data Structure in DELI Platform

Database: root.kampusareena

Devices:

• root.kampusareena.Electricity.SolarPVPlant.WestWall.Inverter01
• root.kampusareena.Electricity.SolarPVPlant.SouthEastWall.Inverter02
• root.kampusareena.Electricity.SolarPVPlant.SouthEastWall.Inverter03
• root.kampusareena.Electricity.SolarPVPlant.SouthWestWall.Inverter04

For a detailed list of available measurements, please refer to the attached "available measurements" file.

Important Notes

• Data Quality Issue: Data collected before 2018-08-08 may contain erroneous values (large negative numbers like -2147483648). This occurred when the collection system misinterpreted the "no data" signal from non-operating inverters, often during nighttime.

Additional Resources

• ProCem Project Information: Details on measurement storage and usage
• Kampusareena Group: General information about the building

Data Access and Usage

To access and utilize this dataset:

1. Review the attached "available measurements" list for specific measurement paths.
2. Follow the data access procedures outlined in the ProCem project documentation.
3. Use the appropriate database and device paths as specified in the "Data Structure" section above when querying data.

GapFinder is a CSIRO-developed web-based visualisation tool that enables the exploration of large distance matrices that have a hierarchical structure to their observations. The tool aims to help us find gaps between different groups of observations or, at least, understand when these gaps do not exist

GapFinder Demo demonstrates the application of the GapFinder visualisation to fish metabarcode data. The aim is to help environmental DNA (eDNA) researchers choose PCR primers that allow them to clearly distinguish species of interest in their experiments by their DNA “barcode”. Since these primers yield DNA barcodes from multiple species, this approach is known as metabarcoding. eDNA metabarcoding is a broadly used practical method to determine which species are present in an environment, and measure biodiversity or detect pests, among many other applications of importance in biodiversity and biosecurity.

The tool allows users to interactively view and interrogate in-silico generated DNA metabarcoding data that allows researchers to determine the best primer pairs to use to discriminate their species of interest from other similar species.

eDNA Researchers face the challenge of determining which genetic targets will allow them to distinguish closely related species relevant to the study system. In practice, this involves selection of PCR primers to produce particular DNA sequence barcodes, entailing intensive in silico and in vitro validation. This tool tackles that challenge in a way that saves computational and experimental resources by centralising the analysis of primer and barcode sequence data.

Lineage: Public DNA sequence data from NCBI (nt) was downloaded (Release 231) and processed using a newly developed method to determine and visualise the similarity between predicted amplicon sequences from different species. Briefly, these are the outline steps to process data downloaded from the NCBI nt database: 1. From a BLAST formatted database generated from Release 231 of the nt database, sequences were extracted to FASTA files for input into in-silico PCR prediction tools. 2. Given a primer pair, run in-silico PCR to find target sequences (amplicons). The resulting amplicons were quality controlled. 3. Amplicons are dereplicated into unique groups 4. Unique amplicons are then pairwise aligned to generate the pairwise alignments table that becomes the input to the data transformation for the GapFinder metabarcode visualisation tool.

Please note that if the public DNA sequence entries do not contain both forward and reverse primers, then these sequences are not available for in-silico PCR and will not appear in the dataset.

299 Global import shipment records of Demo Bag with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Contains the general information of each audit report

Database for reproducing the calculations presented in the publication "Parametric Study of the Radiative Load Distribution on the EU-DEMO First Wall Due to SPI-Mitigated Disruptions", submitted to Fusion Engineering and Design.

Work carried out within the framework of the EUROfusion Consortium.

22 Global import shipment records of Demo Tool with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

FOR DEMONSTRATION PURPOSES ONLY - The data represents individual occurrences of buffelgrass plants, providing insights into their distribution patterns and potential areas of infestation. The accuracy of the point data is ensured through rigorous field surveys conducted by trained botanists and ecologists. These experts carefully identify and record the presence of buffelgrass plants at various sites across North America, including deserts, grasslands, and disturbed areas. The data collection process involves on-site visits to accurately document the location, abundance, and growth stage of buffelgrass plants. This information is then compiled into a comprehensive database, which can be accessed and analyzed by researchers, land managers, and policymakers.The point data is continuously updated as new observations are made, allowing for real-time monitoring of buffelgrass spread and its impact on native ecosystems. This ongoing effort is a collaborative endeavor involving government agencies, research institutions, and citizen science initiatives, ensuring a wide coverage and diverse expertise in data collection and analysis. By providing precise location information, the buffelgrass point data enables targeted management strategies and interventions to control the spread of this invasive species. It serves as a valuable tool for conservationists, land managers, and policymakers to make informed decisions and take proactive measures in preserving the integrity of North American ecosystems.

30044 Global exporters importers export import shipment records of Demo products with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

2767 Global import shipment records of Demo Tool And HSN Code 90230090 with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.