Individualincremental energy bid volumes and corresponding prices for automatic Frequency Restoration Reserve (aFRR) and manual Frequency Restoration Reserve (mFRR) - submitted by Balance responsible Parties (BRPs) and Balance Service Providers (BSPs), taking into account the known technical and contractual constraints. This publication only contains data for the current day, and for day+1 when available. It is refreshed every hour.This dataset contains data from 22/05/2024 (MARI local go-live) on.

This dataset contains final results for XRF and select laboratory results for the 2019 Carson River Mercury Site Incremental Sampling Field Study. Incremental samples were collected from three separate areas within the CRMS: Six Mile Canyon Area near Mark Twain, NV; California Pan Mill in Virginia City, NV; and Sacramento Mill in Virginia City, NV. The purpose of the data collection was to help characterize the extent of Hg, Pb, and As in surface (0 to 6-inch) and in some locations subsurface (0 to 24-inch) soils in the three study areas. A secondary purpose of the study was to demonstrate incremental sampling techniques and field XRF analysis to EPA Region 9 and NDEP Staff. The XRF results columns in the attribute table were generated by XRF data collected in accordance with the EPA-Approved Quality Assurance Project Plan and are considered definitive results suitable for project decisions. 30-point incremental samples were sieved to the 100-mesh fraction, placed “interference free” XRF read bags, and analyzed with EPA Headquarters’ Niton XRF. At least two XRF measurements were collected on each side of the bag resulting in at least four readings that were used to calculate the sample bag average that appears in the XRF Results columns for Hg, Pb, and As. If triplicate results were collected for a given sample, the mean is reported in the XRF Results columns for Hg, Pb, and As and the results for each of the three replicates are detailed in the XRF Notes column.

This dataset contains China Power Grid Incremental Substation Capacity Alternating for 2007-2017. Data from Power Knowledge Thinker. Export API data for more datasets to advance energy economics research

Thailand Change on Non Performing Loan: Incremental data was reported at 10,369.050 THB mn in Sep 2018. This records an increase from the previous number of 6,468.470 THB mn for Jun 2018. Thailand Change on Non Performing Loan: Incremental data is updated quarterly, averaging 6,287.995 THB mn from Dec 2016 (Median) to Sep 2018, with 8 observations. The data reached an all-time high of 19,912.510 THB mn in Sep 2017 and a record low of -976.750 THB mn in Mar 2017. Thailand Change on Non Performing Loan: Incremental data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F028: Government Finance Institutions: Change of Non Performing Loan.

Section 1: Introduction

Brief overview of dataset contents:

Current database contains anonymised data collected during exercise testing services performed on male and female participants (cycling, rowing, kayaking and running) provided by the Human Performance Laboratory, School of Medicine, Trinity College Dublin, Dublin 2, Ireland.

835 graded incremental exercise test files (285 cycling, 266 rowing / kayaking, 284 running)

Description file with each row representing a test file - COLUMNS: file name (AXXX), sport (cycling, running, rowing or kayaking)

Anthropometric data of participants by sport (age, gender, height, body mass, BMI, skinfold thickness,% body fat, lean body mass and haematological data; namely, haemoglobin concentration (Hb), haematocrit (Hct), red blood cell (RBC) count and white blood cell (WBC) count )

Test data (HR, VO2 and lactate data) at rest and across a range of exercise intensities

Derived physiological indices quantifying each individual’s endurance profile

Following a request from athletes seeking assessment by phone or e-mail the test protocol, risks, benefits and test and medical requirements, were explained verbally or by return e-mail. Subsequently, an appointment for an exercise assessment was arranged following the regulatory reflection period (7 days). Following this regulatory period each participant’s verbal consent was obtained pre-test, for participants under 18 years of age parent / guardian consent was obtained in writing. Ethics approval was obtained from the Faculty of Health Sciences ethics committee and all testing procedures were performed in compliance with Declaration of Helsinki guidelines.

All consenting participants were required to attend the laboratory on one occasion in a rested, carbohydrate loaded and well-hydrated state, and for male participants’ clean shaven in the facial region. All participants underwent a pre-test medical examination, including assessment of resting blood pressure, pulmonary function testing and haematological (Coulter Counter Act Diff, Beckmann Coulter, CA,US) review performed by a qualified medical doctor prior to exercise testing. Any person presenting with any cardiac abnormalities, respiratory difficulties, symptoms of cold or influenza, musculoskeletal injury that could impair performance, diabetes, hypertension, metabolic disorders, or any other contra-indicatory symptoms were excluded. In addition, participants completed a medical questionnaire detailing training history, previous personal and family health abnormalities, recent illness or injury, menstrual status for female participants, as well as details of recent travel and current vaccination status, and current medications, supplements and allergies. Barefoot height in metre (Holtain, Crymych, UK), body mass (counter balanced scales) in kilogram (Seca, Hamburg, Germany) and skinfold thickness in millimetre using a Harpenden skinfold caliper (Bath International, West Sussex, UK) were recorded pre-exercise.

Section 2: Testing protocols

2.1: Cycling

A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on an electromagnetically braked cycle ergometer (Lode Excalibur Sport, Groningen, The Netherlands). Participants initially identified a cycling position in which they were most comfortable by adjusting saddle height, saddle fore-aft position relative to the crank axis, saddle to handlebar distance and handlebar height. Participant’s feet were secured to the ergometer using their own cycling shoes with cleats and accompanying pedals. The protocol commenced with a 15-min warm-up at a workload of 120 Watt (W), followed by a 10-min rest. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a workload of 100 or 120 W for female and male participants, respectively, and subsequently increasing by a 20, 30 or 40 W incremental increase every 3-min depending on gender and current competition category. During assessment participants maintained a constant self-selected cadence chosen during their warm-up (permitted window was 5 rev.min−1 within a permitted absolute range of 75 to 95 rev.min−1) and the test was terminated when a participant was no longer able to maintain a constant cadence.

Heart rate (HR) data were recorded continuously by radio-telemetry using a Cosmed HR monitor (Cosmed, Rome, Italy). During the test, blood samples were collected from the middle finger of the right hand at the end of the second minute of each 3-min interval. The fingertip was cleaned to remove any sweat or blood and lanced using a long point sterile lancet (Braun, Melsungen, Germany). The blood sample was collected into a heparinised capillary tube (Brand, Wertheim, Germany) by holding the tube horizontal to the droplet and allowing transfer by capillary action. Subsequently, a 25μL aliquot of whole blood was drawn from the capillary tube using a YSI syringepet (YSI, OH, USA) and added into the chamber of a YSI 1500 Sport lactate analyser (YSI, OH, USA) for determination of non-lysed [Lac] in mmol.L−1. The lactate analyser was calibrated to the manufacturer’s requirements (± 0.05 mmol.L−1) before each test using a standard solution (YSI, OH, USA) of known concentration (5 mmol.L−1) and analyser linearity was confirmed using either a 15 or 30 mmol.L-1 standard solution (YSI, OH, USA).

Gas exchange variables including respiration rate (Rf in breaths.min-1), minute ventilation (VE in L.min-1), oxygen consumption (VO2 in L.min-1 and in mL.kg-1.min-1) and carbon dioxide production (VCO2 in L.min-1), were measured on a breath-by-breath basis throughout the test, using a cardiopulmonary exercise testing unit (CPET) and an associated software package (Cosmed, Rome, Italy). Participants wore a face mask (Hans Rudolf, KA, USA) which was connected to the CPET unit. The metabolic unit was calibrated prior to each test using ambient air and an alpha certified gas mixture containing 16% O2, 5% CO2 and 79% N2 (Cosmed, Rome, Italy). Volume calibration was performed using a 3L gas calibration syringe (Cosmed, Rome, Italy). Barometric pressure recorded by the CPET was confirmed by recording barometric pressure using a laboratory grade barometer.

Following testing mean HR and mean VO2 data at rest and during each exercise increment were computed and tabulated over the final minute of each 3-min interval. A graphical plot of [Lac], mean VO2 and mean HR versus cycling workload was constructed and analysed to quantify physiological endurance indices, see Data Analysis section. Data for VO2 peak in L.min-1 (absolute) and in mL.kg-1.min-1 (relative) and VE peak in L.min-1 were reported as the peak data recorded over any 10 consecutive breaths recorded during the last minute of the final exercise increment.

2.2: Running protocol

A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a motorised treadmill (Powerjog, Birmingham, UK). The running protocol, performed at a gradient of 0%, commenced with a 15-min warm-up at a velocity (km.h-1) which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity. Subsequently, the warm-up was followed by a 10 minute rest / dynamic stretching phase. From a safety perspective during all running GxT participants wore a suspended lightweight safety harness to minimise any potential falls risk. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal running velocity which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity, and subsequently increased by ≥ 1 km.h-1 every 3-min depending on gender and current competition category. The test was terminated when a participant was no longer able to maintain the imposed treadmill.

Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.

2.3: Rowing / kayaking protocol

A discontinuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a Concept 2C rowing ergometer (Concept, VA, US) in rowers or a Dansprint kayak ergometer (Dansprint, Hvidovre, Denmark) in flat-water kayakers. The protocol commenced with a 15-min low-intensity warm-up at a workload (W) dependent on gender, sport and competition category, followed by a 10-min rest. For rowing the flywheel damping (120, 125 or 130W) was set dependent on gender and competition category. For kayaking the bungee cord tension was adjusted by individual participants to suit their requirements. A discontinuous protocol of 3-min exercise at a targeted load followed by a 1-min rest phase to facilitate stationary earlobe capillary blood sample collection and resetting of ergometer display (Dansprint ergometer) was used. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal load 80 to 120 W for rowing, 50 to 90 W for kayaking and subsequently increased by 20,30 or 40 W every 3-min depending on gender, sport and current competition category. The test was terminated when a participant was no longer able to maintain the targeted workload.

Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.

3.1: Data analysis

Constructed graphical plots (HR, VO2 and [Lac] versus load / velocity) were analysed to quantify the following; load / velocity at TLac, HR at TLac, [Lac] at TLac, % of VO2 peak at TLac, % of HRmax at TLac, load / velocity and HR at a nominal [Lac] of 2 mmol.L-1, load / velocity, VO2 and [Lac} at a nominal HR of

This dataset contains national patents and utility models data. Data is published in form of full export and subsequent incremental data.

The data that support the findings of the study “Incremental intelligence mindset, fear of failure, and academic coping”.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset is an archive of data and code files used to generate figures and tables for a manuscript entitled "Incremental integration for tracking genotype-phenotype associations".

Data files include the exact versions of raw materials as well as databases produced during the course of the analysis described in the manuscript.

Code files include python and R components.

Further details are available in the archive README file.

DB4ISF

DB4ISF is an incremental sheet forming database consisting of 76 forming experiments executed by the Chair of Production Systems at Ruhr-Universität Bochum.

The database consists of the following data:
• General process data (tool radii, sheet thickness, step depth, ...)
• CAD files (stl, sldprt including CAMWorks toolpaths)
• Toolpaths (surface points and normal vectors)
• Robot programs used for forming (KRL)
• Digitization (CDB)
• Deviation of every toolpath point in normal direction
• Precalculated surface representations for machine learning

Publication and reference

A publication that describes the methodical approach for building up the database and the experimental data inside it can be found here:
Möllensiep, Dennis; Schäfer, Jan; Pasch, Felix, Kuhlenkötter Bernd. Cluster analysis for systematic database extension to improve machine learning performance in double-sided incremental sheet forming. International Journal of Advanced Manufacturing Technology (2024). https://doi.org/10.1007/s00170-024-14014-8.

Please cite the corresponding publication too if you are using the database for your own research.

ML4ISF

ML4ISF is a Matlab Framework with a GUI for the application of machine learning in incremental sheet forming and fully compatible with the database.

The framework offers the following features:
• Data management
• Toolpath import with various presets
• Calculation of surface representations utilized for machine learning
• Generation of training data tables for machine learning in python
• Prediction of the forming accuracy with several provided artificial networks
• Toolpath adjustments based on the prediction and smoothing of the path
• Generation of Kuka robot programs (other exporters could be implemented)
• Various plotting functions

Prerequisites:
• Surface toolpath with the corresponding normal vectors
• STL file of the part

The framework was developed for the application of double sided incremental forming (DSIF) utilizing two industrial robots where the supporting robot applies a defined support force. Other methods such as SPIF with NC-machines can be implemented with slight modifications.

ML4ISF can be downloaded here: https://doi.org/10.5281/zenodo.10036335.

Contact

If you have any questions about the database, please contact:
Dennis Möllensiep
moellensiep@lps.rub.de

License

This database is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

This dataset contains national patents and utility models data. Data is published in form of full export and subsequent incremental data.

The current conceptual site model (CSM) includes data gaps related to the extent of mercury contamination throughout the site, as well as the presence of other metal contaminants in soil. This study focuses on three areas in OU01: the Six Mile Canyon Area in Dayton, NV, the California Pan Mill Area in Virginia City, NV, and the Sacramento Mill Area just north of Virginia City, NV. Surface and near surface soils with COC concentration greater than the project action limits present a potential risk for direct contact and soil migration. Data gaps exist in the understanding the sources, extent, and migration pathways of contaminants at this area and the applicability of the Incremental Sampling (IS) and (X-ray Fluorescence (XRF) approach to comply with the LTSRP. The project will address these data gaps through incremental sampling and real time XRF. Data was compiled and evaluated for the IS Study where field sample collection techniques were evaluated as part of this study using XRF. Sample processing included seiving, to compare ISM with the current LTSRP method based on four five-point composite samples per residential parcel. The goal to is to validate the CSM and improve the screening of vast areas of mercury-contaminated soils while continuing to evaluate the performance of X-ray fluorescence (XRF) instrumentation for the simultaneous analysis of mercury (Hg), lead (Pb) and arsenic (As) in soil affected by the mining operations associated with the Comstock Lode. however sample processing will be. The most effective processing and analytical techniques will be selected for use in a follow-up study which will evaluate field sample collection. It is anticipated that the most effective and efficient sampling and analysis techniques will be incorporated into future investigations for the Carson River area. General Comments: The location coordinates represent the center point of the Decision Unit (DU) as calculated by GIS. For DUs that cross roads or driveways (SMCD2 and SMCSCR-South) the midpoint may plot in the middle of the road. The center point for SMCCBS was selected manually due to the unusual shape of the DU. The calculated GIS center point falls outside of the DU. DU columns provided on each tab for easy sorting and QC check. It is not a critical data point since the DU name is embedded in the Sample ID. For Source Units (SU) samples, the DU column is N/A if the SU was located outside of a DU, this column is filled out if the SU was located inside of a DU. Date represents sample collection date. Tab-Specific Comments: XRF field results did not use unique Lab ID sample #s so left that column blank. Did not establish specific XRF reporting limits for this project. Manually added a “U” for the XRF ND samples to match the lab formats. Region 9 lab results for the XRF comparison samples: Left all the ICP metals in the database. R9 lab DMA data only reported Pb, As, Se, and Hg per the team decision. SPLP Extraction #2 results for the samples selected for leaching analysis - removed the rows that identify the extraction procedure and contained no lab data. SPLP Extraction #3 results for the samples selected for leaching analysis - removed the rows that identify the extraction procedure and contained no lab data. Notes column indicates this is DI water extraction.

This map displays the Quantitative Precipitation Forecast (QPF) for the next 72 hours across the contiguous United States. Data are updated hourly from the National Digital Forecast Database produced by the National Weather Service.The dataset includes incremental and cumulative precipitation data in 6-hour intervals. In the ArcGIS Online map viewer you can enable the time animation feature and select either the "Amount by Time" (incremental) layer or the "Accumulation by Time" (cumulative) layer to view a 72-hour animation of forecast precipitation. All times are reported according to your local time zone.Where the data is coming fromThe National Digital Forecast Database (NDFD) was designed to provide access to weather forecasts in digital form from a central location. The NDFD produces forecast data of sensible weather elements. NDFD contains a seamless mosaic of digital forecasts from National Weather Service (NWS) field offices working in collaboration with the National Centers for Environmental Prediction (NCEP). All of these organizations are under the administration of the National Oceanic and Atmospheric Administration (NOAA).Source: https://tgftp.nws.noaa.gov/SL.us008001/ST.opnl/DF.gr2/DC.ndfd/AR.conus/VP.001-003/ds.qpf.binWhere can I find other NDFD data?The Source data is downloaded and parsed using the Aggregated Live Feeds methodology to return information that can be served through ArcGIS Server as a map service.What can you do with this layer?This map service is suitable for data discovery and visualization. Identify features by clicking on the map to reveal the pre-configured pop-ups. View the time-enabled data using the time slider by Enabling Time Animation.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.

This dataset contains national designs data. Data is published in form of full export and subsequent incremental data.