cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25346/s6/gj74ar
title: Thyroid cancer and pesticide use in a Central California agricultural area: a case control study

description: ABSTRACT: Few studies have examined the environmental factors that influence risk of thyroid cancer. We performed a case-control study utilizing thyroid cancer cases from the California Cancer Registry (1999-2012) and controls sampled in a population-based manner. Study participants resided in one of three central California agricultural counties and were included if they were diagnosed with thyroid cancer, lived in the study area at their time of diagnosis, and were ≥35 years of age. Controls were recruited from the same area and eligible to participate if they were ≥35 years of age and had been living in California for at least 5 years prior to the interview. We examined residential exposure to 29 agricultural use pesticides, known to cause DNA damage in vitro or are known endocrine disruptors. We employed a validated GIS-based system which combines California state mandated pesticide use reporting data, land-use surveys, and geocoded residential addresses to generate exposure estimates for each participant. Our sample included 2067 cases and 1003 controls. In single pollutant models and within a 20-year exposure period, 10 out of 29 selected pesticides were associated with thyroid cancer, including several of the most applied pesticides in the USA such as paraquat dichloride (OR: 1.46, CI: 1.23-1.73), glyphosate (OR: 1.33, CI: 1.12-1.58) and oxyfluorfen (OR: 1.21, CI: 1.02-1.43). Risk of thyroid cancer increased proportionately to the total number of pesticides subjects were exposed to 20 years before diagnosis or interview. In all models, paraquat dichloride was consistently associated with thyroid cancer. Our study provides first evidence in support of the hypothesis that residential pesticide exposure from agricultural applications is associated with an increased risk of thyroid cancer.
DOI: 10.25346/s6/gj74ar/0np7sx
title: Supplementary Table 3.docx

description: Supplementary Table 3: Adjusted risk of thyroid cancer with pesticide exposures twenty years prior to diagnosis (cases) and interview (controls) among participants older than 65 years of age
DOI: 10.25346/s6/gj74ar/cyidfe
title: Supplementary Figure 1.tif

description: Supplementary Figure 1: Annual average use of various pesticides from 1979-2012 in the southern California tri-county area
DOI: 10.25346/s6/gj74ar/enjhqk
title: Supplementary Table 4.docx

description: Supplementary Table 4: Adjusted risk of thyroid cancer with pesticide exposures twenty years prior to diagnosis (cases) and interview (controls) among White, non-Hispanic only
DOI: 10.25346/s6/gj74ar/fclhxj
title: Supplementary Table 2.docx

description: Supplementary Table 2: Adjusted risk of thyroid cancer with pesticide exposures in the five and ten years prior to diagnosis (cases) and interview (controls).
DOI: 10.25346/s6/gj74ar/xh4mld
title: Supplementary Table 1.docx

description: Supplementary Table 1: Correlations among various pesticides in the control population in the 20 years before interview
DOI: 10.25346/s6/goj60a
title: COVID Safety Protocols by State in Juvenile Justice Facilities

description: This dataset was put together by the COVID Behind Bars' Youth Team to track which juvenile justice facilities published COVID-related protocol data, including required masking, distancing, and disinfecting.
DOI: 10.25346/s6/goj60a/6mazqp
title: COVID Safety Protocols by State (collected July-September 2022).tab
DOI: 10.25346/s6/goj60a/xhmhzk
title: COVID Safety Protocols by State (collected July-September 2022).xlsx
DOI: 10.25346/s6/goj60a/yqadjv
title: Youth Team Data Dictionary_COVID Safety Protocols.pdf
DOI: 10.25346/s6/goqgup
title: Amarna

description: Plans and section drawings from the Panehesy Tomb, Estate of Ramose, Royal Tomb, and the Workman's House
DOI: 10.25346/s6/goqgup/02jnsq
title: Amarna_Panehesy_Reconstruction_Plan_0036.pdf
DOI: 10.25346/s6/goqgup/0bmegt
title: Amarna_Panehesy_Reconstruction_Plan_0276.pdf
DOI: 10.25346/s6/goqgup/0hle3u
title: Amarna_04.dwg
DOI: 10.25346/s6/goqgup/51yxer
title: Amarna_RoyalTomb_Reconstruction_Plan_0253.pdf
DOI: 10.25346/s6/goqgup/5glbtx
title: Amarna_Ramose_DrawingLog_0042.pdf
DOI: 10.25346/s6/goqgup/92lsrc
title: Amarna_Ramose_Reconstruction_Plan_0043.pdf
DOI: 10.25346/s6/goqgup/a0fgnb
title: Amarna_WorkmansHouse_Reconstruction_Plan_0047.pdf
DOI: 10.25346/s6/goqgup/bda0nm
title: Amarna_WorkmansHouse_ActualState_Plan_0046.pdf
DOI: 10.25346/s6/goqgup/bimi7e
title: Amarna_Panehesy_ActualState_Plan_0035.pdf
DOI: 10.25346/s6/goqgup/djqpwn
title: Amarna_RoyalTomb_Reconstruction_SectionA-A_B-B_0255.pdf
DOI: 10.25346/s6/goqgup/e2uehf
title: Amarna_RoyalTomb_DrawingLog_0252.pdf
DOI: 10.25346/s6/goqgup/ejhz8z
title: Amarna_Panehesy_Reconstruction_Detail_0041.pdf
DOI: 10.25346/s6/goqgup/iowjy3
title: Amarna_03.dwg
DOI: 10.25346/s6/goqgup/ir8pvf
title: Amarna_02.dwg
DOI: 10.25346/s6/goqgup/jd4o8b
title: Amarna_Panehesy_ActualState_SectionA-A_0038.pdf
DOI: 10.25346/s6/goqgup/jup2ft
title: Amarna_RoyalTomb_ActualState_SectionA-A_B-B_0254.pdf
DOI: 10.25346/s6/goqgup/kc7aza
title: Amarna_Panehesy_Phases_Plan_0037.pdf
DOI: 10.25346/s6/goqgup/kruws1
title: Amarna_Ramose_ActualState_Plan_0044.pdf
DOI: 10.25346/s6/goqgup/lzjxwb
title: Amarna_Ramose_ActualState_Plan_0042.pdf
DOI: 10.25346/s6/goqgup/mzyiiz
title: Amarna_WorkmansHouse_DrawingLog_0046.pdf
DOI: 10.25346/s6/goqgup/svsf5q
title: Amarna_Panehesy_ActualState_Plan_0275.pdf
DOI: 10.25346/s6/goqgup/v5atmh
title: Amarna_Ramose_Reconstruction_Plan_0045.pdf
DOI: 10.25346/s6/goqgup/vchnow
title: Amarna_01.dwg
DOI: 10.25346/s6/goqgup/w1yeas
title: Amarna_RoyalTomb_ActualState_Plan_0252.pdf
DOI: 10.25346/s6/goqgup/xfev8f
title: Amarna_Panehesy_ActualState_Detail_0040.pdf
DOI: 10.25346/s6/goqgup/znh5la
title: Amarna_Panehesy_Reconstruction_SectionA-A_0039.pdf
DOI: 10.25346/s6/goqgup/zydevi
title: Amarna_Panehesy_DrawingLog_0035.pdf
DOI: 10.25346/s6/hcsjin
title: COVID-19 Correctional Pop. Reduction Responses

description: Soon after we began posting advocates’ filings in Correctional Population Reduction Requests, those advocates began receiving answers of various sorts. We created this tab to post those answers. Once we decided to break out the answers into separate tabs, this tab was no longer used.
DOI: 10.25346/s6/hcsjin/thlpnk
title: COVID-19 Correctional Pop. Reduction Responses - COVID-19 Correctional Pop. Reduction Responses.tab

description: The collection of answers to the postings of advocates' filings. Once we decided to break out the answers into separate tabs, this tab was no longer used.
DOI: 10.25346/s6/hrqdky/gdzw6h
title: COVID-19 Related Youth Filings and Court Orders.xlsx

description: This dataset consists of court filings related to COVID in youth facilities, in part through the same strategies we pursued with the like efforts of the Immigration Detention Team. Additional youth facilities-related filings are also available here: https://healthisjustice.org/litigation-hub/ File in the original MS Excel xlsx format.
DOI: 10.25346/s6/hrqdky/ozdbbk
title: COVID-19_Related_Youth_Filings_and_Court_Orders.csv
DOI: 10.25346/s6/i4mauu
title: Data Curation Profile- United States History/Cold War

description: This dataset focuses on the research data used in the United States History field. Since the scope of United States history is so broad, we have narrowed down our research to articles related to the Cold War era. The Cold War era spans from the end of World War II in 1945 to 1990, involving conflicts between United States- and Soviet Union-backed nations and political, social, economic, and propaganda campaigns. This curation profile looks at the types of data being used, what kinds of data sharing policies are used in research data, and whether and how data is being made available to other researchers in the United States History subdiscipline.
DOI: 10.25346/s6/i4mauu/pzvtpo
title: Data Table.csv

description: Data about United States History data was collected throughout October and November 2022 from seven different academic journals. Research data for history is not usually quantitative, instead referencing sources within citations.
DOI: 10.25346/s6/i6egib
title: Assiut

description: Plans and section drawings from Tomb III and Tomb P10.1.
DOI: 10.25346/s6/i6egib/06nxzf
title: Assiut_TombIII_Reconstruction_Plan_0220.pdf
DOI: 10.25346/s6/i6egib/3s3ukj
title: Assiut_TombIII_ActualState_SectionB-B_0226.pdf
DOI: 10.25346/s6/i6egib/4kefy4
title: Assiut_TombIII_ActualState_Plan_0218.pdf
DOI: 10.25346/s6/i6egib/5birgz
title: Assiut_TombP10.1_DrawingLog_0461.pdf
DOI: 10.25346/s6/i6egib/ai8apg
title: Assiut_TombP10.1_Reconstruction_Plan_0462.pdf
DOI: 10.25346/s6/i6egib/bqkl8y
title: Assiut_TombIII_Reconstruction_SectionA-A_0224.pdf
DOI: 10.25346/s6/i6egib/illbno
title: Assiut.dwg
DOI: 10.25346/s6/i6egib/k2lt3d
title: Assiut_TombIII_Reconstruction_SectionA-A_0225.pdf
DOI: 10.25346/s6/i6egib/pc79yb
title: Assiut_TombIII_DrawingLog.pdf
DOI: 10.25346/s6/i6egib/tgfhel
title: Assiut_TombP10.1_ActualState_Plan_0461.pdf
DOI: 10.25346/s6/i6egib/v6t5j1
title: Assiut_TombIII_ActualState_SectionA-A_0223.pdf
DOI: 10.25346/s6/i6egib/woeewx
title: Assiut_TombIII_Reconstruction_Plan_0221.pdf
DOI: 10.25346/s6/i6egib/wotlng
title: Assiut_TombIII_ActualState_Plan_0219.pdf
DOI: 10.25346/s6/i6egib/wzm4te
title: Assiut_TombIII_Reconstruction_SectionB-B_0227.pdf
DOI: 10.25346/s6/i6egib/ynofsb
title: Assiut_TombIII_ActualState_SectionA-A_0222.pdf
DOI: 10.25346/s6/iaxy3g
title: US Census 2020 R Packages (Beta)

description: This is a beta build for US Census 2020 R Packages
DOI: 10.25346/s6/iaxy3g/repuxi
title: UScensus2020county_0.0.0.9000.tar.gz
DOI: 10.25346/s6/ihqmvy
title: Qubbet el-Hawa

description: Plans and section drawings from Sarenput I and Tomb 31-32.
DOI: 10.25346/s6/ihqmvy/6hlgl6
title: QubbetElHawa_SarenputI_ActualState_Plan_0454.pdf
DOI: 10.25346/s6/ihqmvy/6juilu
title: QubbetElHawa_SarenputI_DrawingLog_0454.pdf
DOI: 10.25346/s6/ihqmvy/l3nqkh
title: QubbetElHawa_Tomb31-32_DrawingLog_0453.pdf
DOI: 10.25346/s6/ihqmvy/ybstf3
title: QubbetElHawa_Tomb31-32_ActualState_Plan_0453.pdf
DOI: 10.25346/s6/jegfz4
title: Medinet Madi

description: Plans and section drawings from Renenutet and the General Plan.
DOI: 10.25346/s6/jegfz4/8skcao
title: MedinetMadi_GeneralPlan_ActualState_Plan_0123.pdf
DOI: 10.25346/s6/jegfz4/g56ydc
title: MedinetMadi_GeneralPlan_Reconstruction_Plan_0408.pdf
DOI: 10.25346/s6/jegfz4/kvytx7
title: MedinetMadi_GeneralPlan_ActualState_Plan_0372.pdf
DOI: 10.25346/s6/jegfz4/qdp0qa
title: MedinetMadi_GeneralPlan_ActualState_Plan_0407.pdf
DOI: 10.25346/s6/jegfz4/r4kqbg
title: MedinetMadi_GeneralPlan_BuildingPhases_Plan_0126.pdf
DOI: 10.25346/s6/jegfz4/sipdqb
title: MedinetMadi_Renenutet_ActualState_Plan_0124.pdf
DOI: 10.25346/s6/jegfz4/udpfog
title: MedinetMadi_DrawingLog_0123.pdf
DOI: 10.25346/s6/jegfz4/ugwmha
title: MedinetMadi.dwg
DOI: 10.6075/j07p8zkr
title: Society Islands 2019-02 (Expedition) - Tetiaroa (Island) - Raw Images. In 100 Island Challenge Collection

description: In February of 2019, the 100 Island Challenge team visited Tetiaroa to collect large area imagery as part of the Society Islands 2019-02 expedition. The imagery collected here established permanent sites that can later be resurveyed as part of the 100 Island Challenge Project. For each site, a preview image and the raw digital images used to create composite large-area image products of the underwater sites have been made available. A general description of the methods used to acquire the images can be found in a README.txt file for each site. Site specific metadata can be found within a METADATA.txt file for each site.
DOI: 10.25346/s6/jegfz4/umsp6t
title: MedinetMadi_GeneralPlan_ActualState_Plan_0371.pdf
DOI: 10.25346/s6/jegfz4/wfyc4k
title: MedinetMadi_Renenutet_Reconstruction_Plan_0125.pdf
DOI: 10.25346/s6/jptdts/kmgced
title: IS 262A Data.xlsx
DOI: 10.25346/s6/jptdts/sppi10
title: IS 262A Data.xlsx
DOI: 10.25346/s6/kepucx/xjpxr8
title: etsy_balance_sheet.tab
DOI: 10.25346/s6/kfn7ud/qlj9w5
title: MFAF v9 nodups.tab

description: Created with Stata v17
DOI: 10.25346/s6/korgec
title: CLWD Financial Data

description: According to Nvidia there are over 16,000 AI startups in the world. Cloud Commerce that is rebranding as AI advertising has an innovative persona system that utilizes machine learning. On August 4th, the stock CLWD basically doubled spiking 120 from 3pm to 4pm. It wasn't overly clear what caused the rise. In January, 2021 the stock reached 0.17 and now stands at 0.035. With 69 million in volume, daily volume today reached more than 10x normal daily volume and the 11k followers on Stocktwits were cheering. We may be seeing SWARM, the Company’s AI-driven advertising solution, that now includes programmatic audio ads reaching over 170 million consumers each month provided by Audacy, Inc. showing an improvement already in the company's bottom lines. The company has retained Dr. Peter Holden, a leading artificial intelligence (AI) strategist and IP expert, who will assist the Company with the expansion of AI capabilities to its SWARM platform and development and protection of its intellectual property to protect these innovations. Cloud Commerce has about 25 employees according to it LinkedIn. With Google's cookie apocalypse the company has had to perfect its persona capabilities that can help companies improve their sales and marketing with AI. In 2021 they have significantly improved their talent and management also with Mr. Romano, who is an accomplished digital video ad sales leader with a consistent track record of building and training world-class sales teams. He previously served as VP of Sales and Agency Development, North America for SpotX. Cloud Commerce has added several new hires over the last few months in Tech, Sales, marketing . Most recently they hired Jessica Richardson as Marketing Director. All of this suggests and the incredible volume today that AI Advertising has a viable future as a company with many major Ad players showing huge increases in revenue during the pandemic. Cloud Commerce has been incredibly agile during the Ads shake-up and appear to have a viable path to increased profitability. The company also stood strong against the wave of short squeeze last year due to a bad earnings call. The persona efficacy of SWAM is what impresses me the most. Implementing AI in digital campaigns is a natural progression of the business, and CloudCommerce’s SWARM solution appears to be well positioned to lead the way in this exciting new era of technology which will be truly game-changing for advertisers and agencies in their marketing efforts. What is a good price target for CLWD for the end of 2021? I think 0.20 is realistic. CloudCommerce recently announced that it will change its corporate name to AiAdvertising, Inc. For more information about AiAdvertising, please visit the Company’s new website at www.AiAdvertising.com.
DOI: 10.25346/s6/kzkmwa
title: Philae

description: Plans and section drawings from the Temple of Arensnuphis, Temple of Augustus, Central buildings, Coptic Dwellings, East Church, General area, Temple of Harendotes, Temple of Hathor, Temple of Isis, the Mammisi, Kiosk of Nectanebo I, Roman Temple, Southern buildings, Kiosk of Trajan, Unfinished Chapel, and the West Church.
DOI: 10.25346/s6/kzkmwa/0hbwfg
title: Philae_EastChurch_ActualState_Plan_0311.pdf
DOI: 10.25346/s6/kzkmwa/0lxb6g
title: Philae_Central_Reconstruction_Plan_0192.pdf
DOI: 10.25346/s6/kzkmwa/1oqqeh
title: Philae_Roman_Reconstruction_Plan_0306.pdf
DOI: 10.25346/s6/kzkmwa/2is8b5
title: Philae_RomanTemple_Reconstruction_Plan_0019.pdf
DOI: 10.25346/s6/kzkmwa/2rcfqo
title: Philae_Augustus_Reconstruction_Section_0107.pdf
DOI: 10.25346/s6/kzkmwa/356r02
title: Philae_EastChurch_Reconstruction_Plan_0312.pdf
DOI: 10.25346/s6/kzkmwa/4nrfoi
title: Philae_Southern_ActualState_Plan_0033.pdf
DOI: 10.25346/s6/kzkmwa/4puvfy
title: Philae_Southern_ActualState_Plan_0189.pdf
DOI: 10.25346/s6/kzkmwa/5jcvxb
title: Philae_General_DrawingLog_0011.pdf
DOI: 10.25346/s6/kzkmwa/6m1o57
title: Philae_Mammisi_Reconstruction_Plan_0026.pdf
DOI: 10.25346/s6/kzkmwa/6qvui8
title: Philae_Trajan_DrawingLog_Plan_0013.pdf
DOI: 10.25346/s6/kzkmwa/76q9ic
title: Philae_Isis_Reconstruction_Plan_0098.pdf
DOI: 10.25346/s6/kzkmwa/7dyrg2
title: Philae_Isis_Reconstruction_Plan_0188.pdf
DOI: 10.25346/s6/kzkmwa/8isq4n
title: Philae_Arensnuphis_DrawingLog_0003.pdf
DOI: 10.25346/s6/kzkmwa/ahsizj
title: Philae_Roman_ActualState_Plan_0305.pdf
DOI: 10.25346/s6/kzkmwa/akt827
title: Philae_Isis_ActualState_Plan_0093.pdf
DOI: 10.25346/s6/kzkmwa/alu8s3
title: Philae_Hathor_Reconstruction_Plan_0009_2.pdf
DOI: 10.25346/s6/kzkmwa/atxwss
title: Philae_Hathor_ActualState_Plan_0008.pdf
DOI: 10.25346/s6/kzkmwa/bbfpla
title: Philae_RomanTemple_ActualState_Plan_0018.pdf
DOI: 10.25346/s6/kzkmwa/bdgabn
title: Philae_Isis_ActualState_Plan_0091.pdf
DOI: 10.25346/s6/kzkmwa/bjqwvf
title: Philae_Isis_Reconstruction_Plan_0094.pdf
DOI: 10.25346/s6/kzkmwa/btwfxq
title: Philae_UnfinishedChapel_DrawingLog_0099.pdf
DOI: 10.25346/s6/kzkmwa/byui6h
title: Philae_Harendotes_DrawingLog_0027.pdf
DOI: 10.25346/s6/kzkmwa/c3tej4
title: Philae_Central_ActualState_Plan_0005.pdf
DOI: 10.25346/s6/kzkmwa/cjm06k
title: Philae_WestChurch_Reconstruction_Plan_0030.pdf
DOI: 10.25346/s6/kzkmwa/ckcanr
title: Philae_CopticDwellings_DrawingLog_0101.pdf
DOI: 10.25346/s6/kzkmwa/ckcwfv
title: Philae_UnfinishedChapel_ActualState_Plan_0099.pdf
DOI: 10.25346/s6/kzkmwa/coja4k
title: Philae_General_ActualState_Plan_0011.pdf
DOI: 10.25346/s6/kzkmwa/csuikh
title: Philae_Trajan_ActualState_Plan_0014.pdf
DOI: 10.25346/s6/kzkmwa/cusnkt
title: Philae_Central_ActualState_Plan_0191.pdf
DOI: 10.25346/s6/kzkmwa/d6szb1
title: Philae_Isis_DrawingLog_0095.pdf
DOI: 10.25346/s6/kzkmwa/dehdl7
title: Philae_WestChurch_DrawingLog_0029.pdf
DOI: 10.25346/s6/kzkmwa/dn8mrh
title: Philae_Isis_Reconstruction_Plan_0092.pdf
DOI: 10.25346/s6/kzkmwa/dvx3ox
title: Philae_Harendotes_Reconstruction_Plan_0028.pdf
DOI: 10.25346/s6/kzkmwa/e9pbvz
title: Philae_Isis_DrawingLog_0185.pdf
DOI: 10.25346/s6/kzkmwa/elz2mk
title: Philae_Trajan_ActualState_Plan_0013.pdf
DOI: 10.25346/s6/kzkmwa/frphta
title: Philae_Isis_ActualState_Plan_0187.pdf
DOI: 10.25346/s6/kzkmwa/ge5x0w
title: Philae_WestChurch_Reconstruction_Plan_0310.pdf
DOI: 10.25346/s6/kzkmwa/gegvm7
title: Philae_Trajan_Reconstruction_Plan_0304.pdf
DOI: 10.25346/s6/kzkmwa/gqet6d
title: Philae_EastChurch_ActualState_Plan_0031.pdf
DOI: 10.25346/s6/kzkmwa/grmq2z
title: Philae_NectaneboI_ActualState_Plan_0001.pdf
DOI: 10.25346/s6/kzkmwa/gsnfvv
title: Philae_Isis_Reconstruction_Plan_0184.pdf
DOI: 10.25346/s6/kzkmwa/hisbeg
title: Philae_CopticDwellings_ActualState_Plan_0101.pdf
DOI: 10.25346/s6/kzkmwa/hnpyea
title: Philae_EastChurch_Reconstruction_Plan_0032.pdf
DOI: 10.25346/s6/kzkmwa/iaki39
title: Philae_Southern_ActualState_Plan_0190.pdf
DOI: 10.25346/s6/kzkmwa/icfvff
title: Philae_WestChurch_ActualState_Plan_0309.pdf
DOI: 10.25346/s6/kzkmwa/icoumw
title: Philae_Mammisi_BuildingPhases_Plan_0262.pdf
DOI: 10.25346/s6/kzkmwa/ijijlc
title: Philae_Isis_Reconstruction_Plan_0096.pdf
DOI: 10.6075/j07s7nzm
title: Decoding Cell Structure. In Art of Science

description: Caption: Using a groundbreaking new technique we can now decode human cell structure directly from data Participant category: Graduate student Department: School of Medicine In “A multi-scale map of cell structure fusing protein images and interactions” (Yue Qin, et al. Nature 2021), scientists demonstrate a groundbreaking AI approach in silico to decode the convoluted human cell structure directly from data. This innovative new approach to mapping cell structure combines microscopy, biochemistry and artificial intelligence to reveal previously unknown cell components. Here we see MuSIC interpreted as binary streams of data raining down to form the structure of a cell.
DOI: 10.25346/s6/kzkmwa/irjdqh
title: Philae_Roman_ActualState_SectionA-A_0104.pdf
DOI: 10.25346/s6/kzkmwa/iyiqjn
title: Philae_General_Reconstruction_Plan_0088.pdf
DOI: 10.25346/s6/kzkmwa/jlqvpy
title: Philae_Arensnuphis_Reconstruction_Plan_0004.pdf
DOI: 10.25346/s6/kzkmwa/jxime1
title: Philae_Hathor_Reconstruction_Plan_0009.pdf
DOI: 10.25346/s6/kzkmwa/jzjzfc
title: Philae_Roman_Reconstruction_Detail_0106.pdf
DOI: 10.25346/s6/kzkmwa/k3vdeu
title: Philae_General_BuildingPhases_Plan_0370.pdf
DOI: 10.25346/s6/kzkmwa/k5wvgm
title: Philae_Roman_Reconstruction_Details_0127.pdf
DOI: 10.25346/s6/kzkmwa/kqltcz
title: Philae_Harendotes_ActualState_Plan_0027.pdf
DOI: 10.25346/s6/kzkmwa/ktychj
title: Philae_Roman_Reconstruction_SectionA-A_0105.pdf
DOI: 10.25346/s6/kzkmwa/lmv7ej
title: Philae_Mammisi_DrawingLog_0025.pdf
DOI: 10.25346/s6/kzkmwa/lnkgv5
title: Philae_Arensnuphis_ActualState_Plan_0003.pdf
DOI: 10.25346/s6/kzkmwa/luz84f
title: Philae_Isis_DrawingLog_0091.pdf
DOI: 10.25346/s6/kzkmwa/m1i712
title: Philae_Isis_DrawingLog_0021.pdf
DOI: 10.25346/s6/kzkmwa/m7cwxj
title: Philae_CopticDwellings_ActualState_Plan_0313.pdf
DOI: 10.5281/zenodo.7105027
title: Dataset: energy consumption patterns in a science and technology park

description: This dataset contains time series of energy consumption and external temperature for a group of buildings in a science and technology park, from 2018 to 2022, that is suitable for the development of algorithms to improve energy efficiency and for the early detection of energy consumption peaks based on night-time outdoor temperatures. Time series of power, energy consumption and external temperature for group of tertiary buildings, from 2018-01-01 to 2022-09-15. Peaks in electricity consumption are a major concern for building owners, especially during summer, when external temperatures are high, and users demand air conditioning. Owners may face high costs, observe increased risk of overheating in energy intensive equipment, and may exceed the power threshold set out in the electricity supply contract. Several effective "peak-shaving" strategies can be put in place, such as a higher temperature set-point (which implies a temporary reduction of comfort levels), switching off low-priority processes, and starting the cooling process earlier than usual. This dataset can be used to develop algorithms for early detection of peaks in energy consumption, based on external temperatures measured during the night.
description: fields available: day (date format aaaa-mm-dd) wd (day of the week from 1 = Monday to 7 = Sunday) T1,T2,T3,T4,T5,T6,T7,T8,T9,T10: external temperatures at 01:00, 02:00 ... 10:00 energy: electricity consumption during the day [kWh] peak_power: maximum power [kW] peak_duration: duration of high power (above 1500kW), expressed as number of 15 minutes periods (e.g. peak_duration=1 means no peak; peak_duration=3 means 45 minutes of power above 1500kW, peak_duration=8 means 2 hours of power above 1500kW). peak_intensity = if is_peak = TRUE peak_intensity = power / 1500kW, otherwise peak_intensity = 0 is_peak: boolean TRUE if power &gt; 1500kW during the day activity: a rough estimate of the level of activity in the buildings. activity=1 in regular workind days; lower values during weekends and holiday.
DOI: 10.25346/s6/kzkmwa/me0tjb
title: Philae_Isis_ActualState_Plan_0095.pdf