Evidence map›Paper›PMID 40533458›Full record

ArticleScientific data2025

Energy consumption and IEQ monitoring in two university apartment buildings: Pre-retrofit dataset.

Shayan Mirzabeigi, Sameeraa Soltanian-Zadeh, Bess Krietemeyer, Bing Dong, Jianshun Jensen Zhang

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shayan MirzabeigiDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA. smirzabeigi@esf.edu.ORCID http://orcid.org/0000-0001-8364-5450
Sameeraa Soltanian-ZadehDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0002-6731-4245
Bess KrietemeyerSchool of Architecture, Syracuse University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0001-7024-7277
Bing DongDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0003-1603-9738
Jianshun Jensen ZhangDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA.ORCID http://orcid.org/0000-0002-6858-9777

Funding

U.S. Department of Energy (DOE) DE-EE0009060
6 · The paper itself

Abstract

This paper presents a unique monitored dataset from the pre-retrofit condition of single-family attached residences that were selected for demonstrating an integrated energy efficiency retrofitting approach in Syracuse, New York. The dataset includes whole-building energy consumption, indoor and outdoor environmental parameters, building envelope performance characteristics as well as occupant behaviors. It spans twelve months of high-frequency monitoring and comprises over 490 data files collected from fourteen apartments in two occupied residential buildings. The metadata model of the building systems and sensors were created using the Brick schema. A data curation was applied to clean and organize the raw data as research-grade dataset. This dataset can be used in various applications - building energy benchmarking and model calibration, indoor air quality and thermal comfort analysis, energy usage analysis, building envelope performance prediction, occupant behavior analytics, and occupant-centric retrofit strategies development - to boost the performance of existing buildings for reducing energy consumption, energy costs, greenhouse gas emissions, and improving indoor environmental quality and occupants' satisfaction.

Identifiers

PMID40533458
PMCPMC12177053

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.