Generation rates by rate class for Eversource in Connecticut

Figshare

## Overview

Figshare is a dataset for object detection tasks - it contains Brain annotations for 3,048 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset presents energetic and wearable physiological sensor data from ten healthy subjects performing six physical activities.The activities tested were: walking, incline walking, backwards walking, and running on a treadmill, cycling on a stationary bike, and stair climbing on a stairmill -- all at a variety of speeds and/or intensities (21 total conditions). The following physiological signals were collected from wearable sensors while subjects performed all the activities: - Oxygen consumption and carbon dioxide production- Respiratory exchange ratio- Breath frequency- Minute ventilation - Oxygen saturation (SpO2)- Heart rate- Electrodermal activity- Skin temperature - Accelerations, angular velocity, and magnetic field measured from left/right wrist, left/right ankle, left/right foot, pelvis, and chest (IMUs)- Surface EMG from left/right gluteus maximus, rectus femoris, vastus lateralis, semitendinosis, biceps femoris, medial gastrocnemius, soleus, tibialis anteriorThe data are contained in ten (10) Matlab .mat files (one for each subject). For a complete description of the file structure please see the file: CompleteDataDescription_Ingraham_Ferris_Remy_2018For a complete description of experimental methods please see the published article: Ingraham, Kimberly A., Daniel P. Ferris, and C. David Remy. "Evaluating Physiological Signal Salience for Estimating Metabolic Energy Cost from Wearable Sensors." Journal of Applied Physiology (2019). DOI: 10.1152/japplphysiol.00714.2018Edit history: Version 4 is the most current version (as of 3/12/2019). The only changes made between versions were updates to the CompleteDataDescription.pdf file for completeness. Please direct any correspondence to: Kimberly Ingraham (kaingr@umich.edu)

Datasets for testing a static surge pricing model for revenue management of on-demand service platforms.

Each tissue's gene expression profile was processed by experts to annotate clusters of cells with biological functions. These are the Robjects created using Seurat to normalize and cluster the single-cell RNA-seq expression data.Update 2018-03-27: Updated to resubmitted RobjUpdate 2018-09-20: Updated to accepted Robj

Files and datasets in Parquet format related to molecular dynamics and retrieved from the Zenodo, Figshare and OSF data repositories. The file 'data_model_parquet.md' is a codebook that contains data models for the four Parquet files.

Enhanced DOAJ data from 12/2018. Walt Crawford Gold Open Access Journals dataset and Scopus data also appended. Additional variables on journal size added.

Fasta file of protein sequences for gene prediction

For single cell RNA sequencing dataset, the 10× Genomics platform was used to perform massive single cell mRNA profiling from mouse spinal cord samples collected at 6 different time points after Spinal Cord Injury (crush injury), i.e., 4h, 1d, 3d, 7d, 14d, and 38d post injury. Uninjured spinal cord samples are included as well. Both male and female C57BL/6 mice were used in the analyses, 10mm-long spinal cord segments encompassing the lesion site were dissociated into single cells through our proprietary method developed based on published studies1,2. For non-injury controls, male and female spinal cord samples were sequenced separately, and male and female scRNA-seq data overlapped rather well.

For bulk RNA sequencing, 1 cm long spinal cord segments centered on leison core, average of 20 mg, at 15min, 1d, 3d, 7d, 14d, 28d, 42d after injury, were homogenized in 1 ml TRIzol (Invitrogen), and mRNA was extracted and purified by RNeasy Mini Kit (QIAGEN) according to the manufacturer’s instructions. The qualities of RNA were determined by Agilent 2100. 1-3 μg qualified RNA were subjected to Illumina V2 RNAseq library construction, followed by Hiseq2000 SE50bp Sequencing.

Data files required to process Allen Human Brain Atlas data:A. Arnatkeviciute, B.D. Fulcher, A. Fornito.A practical guide to linking brain-wide gene expression and neuroimaging data (in submission).Matlab code for processing these data files and reproducing our analyses is in the github repository (link below).Please refer to the README_AHBAdata.txt file for further details.NOTE1: Data has been updated on the 28th August 2018 - in the previous version gene ordering in the ROI x gene matrices did not correspond to the gene information provided in the probeInformation structure. Now this issue is fixed.NOTE2: Data has been updated on the 24th October 2018 to comply with changes made during the article revision. NOTE3: Data has been updated on the 31st December 2018 to comply with changes made during the article revision.NOTE4: Data has been updated on the 7th April 2020. Two brain parcellations (and corresponding processed data) containing 100 and 250 regions per hemisphere were updated. NOTE5: Data has been updated on the 11th June 2020. Four Schaefer brain parcellations (and corresponding processed data) containing 100, 300, 500 and 1000 regions were added.

Interaction between climate policy uncertainty and green bond pricing.

marketten alınan ürünlere ait veri seti

Data for submission to Nature Evolution and Ecology

Those data include the response times and error rates of three parallel experiments that asked participants to perform the readings of digits and numerals by the languages of trilinguals.

We have done research on the topic of "Exploring the Role of Central Bank Independence and Monetary Policy Communication in Achieving Price Stability", and used the data to prepare the paper. It utilized the Independence and Accountability, Policy and Operational Strategy, and Communications index (IAPOC), a novel method developed by the International Monetary Fund (IMF) team that allows for the joint analysis of the two concepts in promoting price stability.

This is an excel model about cost-effectiveness analysis on VenO vs. ClbO for treatment-naive CLL patients under the Dutch extented societal perspective.

The code for Climate risk and higher moments time-frequency connectedness among carbon, energy and metals markets.

This includes 2 datasets: one for the dominance rank analysis, and the other as the actual data used for the Bayesian analysis, separated in two tabs: immatures & adults. The R codes with the actual analysis is also included.

NIH category list

Transition1x - a dataset for building generalizable reactive machine learning potentialshttps://www.nature.com/articles/s41597-022-01870-wThis dataset is constructed by running NEB on 10.000 reactions with H, C, N and O using the wb97x functional and 6-31G(d) basis set. This resulted in DFT calculations for 9.6 million molecular configurations on and around minimal energy paths on the potential energy surface. The data is intended for training ML models to work in transition state regions of chemical space.Dataloaders and example scripts are availble in https://gitlab.com/matschreiner/T1xThe authors acknowledge support from the Novo Nordisk Foundation (SURE, NNF19OC0057822) and the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 957189 (BIG-MAP) and No. 957213 (BATTERY2030PLUS). Ole Winther also receives support from Novo Nordisk Foundation through the Center for Basic Machine Learning Research in Life Science (NNF20OC0062606) and the Pioneer Centre for AI, DNRF grant number P1