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"Brick Schema"×

LBNL Fault Detection and Diagnostics Datasets

These datasets can be used to evaluate and benchmark the performance accuracy of Fault Detection and Diagnostics (FDD) algorithms or tools. It contains operational data from simulation, laboratory experiments, and field measurements from real buildings for seven HVAC systems/equip...
Granderson, J. et al Lawrence Berkeley National Laboratory
Aug 01, 2022
5 Resources
0 Stars
Publicly accessible

AlphaBuilding Synthetic Buildings Operation Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
0 Stars
Publicly accessible

Fallon FORGE: Well Log Database

Master well database for all logs and other well data pertaining to the Fallon FORGE site. Tables are formatted in NGDS Teir 3 schema where appropriate; redundancies between tables are omitted, and should be queried off of the main WellHeader table. All relationships are set on th...
Blankenship, D. Sandia National Laboratories
Jul 03, 2018
2 Resources
0 Stars
Publicly accessible

NWTC Ceilometer (1) Pre-campaign / Derived Data

**Overview** This instrument will be testing the data transfer process before deploying the campaign. The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...
Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)
Sep 20, 2018
1 Resources
0 Stars
Publicly accessible

Conway St Apartments Olive Street Development

In Greenfield, Massachusetts, Olive Street Development transformed an old elementary school building into 12 high-end rental apartments. The developer aimed to get as close to net-zero performance as practical, installing: (1) R-30 high-density spray foam against the brick walls (...
Aldrich, R. and Williamson, J. Steven Winter Associates of the Consortium for Advanced Residential Buildings
Apr 27, 2016
2 Resources
0 Stars
In curation

GDR Data Management and Best Practices for Submitters and Curators

Resources for GDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the GDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for develo...
Weers, J. et al National Renewable Energy Laboratory
Mar 31, 2021
3 Resources
0 Stars
Publicly accessible

OEDI Data Management and Best Practices for Submitters and Curators

Resources for OEDI data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of OEDI. The Data Management and Submission Best Practices document also contains API access and metadata schema information for developer...
Weers, J. et al National Renewable Energy Laboratory
Sep 01, 2022
3 Resources
1 Stars
Publicly accessible

Water DAMS Data Management and Best Practices for Submitters and Curators

Resources for Water DAMS data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of Water DAMS. The Data Management and Submission Best Practices document also contains API access and metadata schema information ...
Weers, J. et al National Renewable Energy Laboratory
Aug 01, 2020
3 Resources
0 Stars
Publicly accessible

MHKDR Data Management and Best Practices for Submitters and Curators

Resources for MHKDR data submitters and curators, including training videos, step-by-step guides on data submission, and detailed documentation of the MHKDR. The Data Management and Submission Best Practices document also contains API access and metadata schema information for dev...
Weers, J. et al National Renewable Energy Laboratory
Dec 15, 2021
3 Resources
0 Stars
Publicly accessible

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...
Tripp, C. et al National Renewable Energy Laboratory
May 20, 2022
4 Resources
0 Stars
Publicly accessible

DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release

DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...
Stanley. . et al National Renewable Energy Laboratory
Apr 01, 2020
10 Resources
0 Stars
Publicly accessible

GBCGE Subsurface Database Explorer and APIs

This submission defines a DOI for the Great Basin Center for Geothermal Energy's (GBCGE) Subsurface Database Explorer web application and underlying data services, and acknowledges the INGENIOUS project as a major source of funding for data compilation and quality assurance. The ...
Mlawsky, E. and Ayling, B. NBMG; GBCGE; UNR
Mar 16, 2020
2 Resources
0 Stars
Publicly accessible

BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Publicly accessible

Analysis of Joist Masonry Moisture Content Monitoring

BSC TO5 Task 7.2 Analysis of Joist Masonry Moisture Content Monitoring House Lawrence, MA 01840 This work involved the field monitoring of embedded wood joist ends in a solid brick building in zone 5A that was retrofitted with interior insulation. Eleven joists throughout the bui...
Ueno, K. Building Science Corporation
Apr 27, 2016
3 Resources
0 Stars
Publicly accessible

Measure Guideline: Deep Energy Enclosure Retrofit for Interior Insulation of Masonry Walls and Flat Roofs

Measure Guideline: Deep Energy Enclosure Retrofit for Zero Energy Ready House Flat Roofs BSC TO5 Task 7.4 Deep Energy Enclosure Retrofit (DEER) for Interior Insulation of Masonry Walls Lawrence, MA 01840 This Measure Guideline describes a deep energy enclosure retrofit solution ...
Musunuru, S. et al Building Science Corporation
Apr 27, 2016
5 Resources
0 Stars
Publicly accessible

Evaluation of Crawlspace Retrofits in Multifamily Buildings

In 2011 and early 2012, Building Science Corporation (BSC) collaborated with Innova Services Corporation on a multifamily community un-vented crawlspace retrofit project at Oakwood Gardens in Lansdale, Pennsylvania. BSC provided design consulting services and pre and post-retrofit...
Rudd, A. Advanced Building Systems
Apr 27, 2016
41 Resources
0 Stars
Publicly accessible

Appalachian Basin Play Fairway Analysis: Thermal Quality Analysis in Low-Temperature Geothermal Play Fairway Analysis (GPFA-AB)

This collection of files are part of a larger dataset uploaded in support of Low Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB). Phase 1 of the GPFA-AB project identified potential Geothermal Play Fairways within the Appalachian basin of Pennsylva...
E., T. Cornell University
Nov 15, 2015
50 Resources
0 Stars
Publicly accessible

INGENIOUS Great Basin Regional Dataset Compilation

This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while re...
Ayling, B. et al GBCGE, NBMG, UNR
Jun 30, 2022
16 Resources
0 Stars
Publicly accessible
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