001 | 1008728 | ||
005 | 20250329065343.0 | ||
024 | 7 | _ | |a 0360-1323 |2 ISSN |
024 | 7 | _ | |a 1873-684X |2 ISSN |
024 | 7 | _ | |a SCOPUS:2-s2.0-85219294681 |2 SCOPUS |
024 | 7 | _ | |a WOS:001440616100001 |2 WOS |
024 | 7 | _ | |a 10.1016/j.buildenv.2025.112782 |2 doi |
024 | 7 | _ | |a 10.18154/RWTH-2025-03124 |2 datacite_doi |
037 | _ | _ | |a RWTH-2025-03124 |
041 | _ | _ | |a English |
082 | _ | _ | |a 690 |
100 | 1 | _ | |0 P:(DE-82)992663 |a Dabrock, Kristina |b 0 |e Corresponding author |u rwth |
245 | _ | _ | |a Generating a nationwide residential building types dataset using machine learning |h online, print |
260 | _ | _ | |a New York, NY [u.a.] |b Elsevier |c 2025 |
300 | _ | _ | |a [1]-17 |
336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |b journal |m journal |
336 | 7 | _ | |2 BibTeX |a ARTICLE |
336 | 7 | _ | |2 DRIVER |a article |
336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
588 | _ | _ | |a Dataset connected to , , , CrossRef, Journals: publications.rwth-aachen.de |
591 | _ | _ | |a Germany |
700 | 1 | _ | |a Ulken, Jens |b 1 |
700 | 1 | _ | |a Pflugradt, Noah |b 2 |
700 | 1 | _ | |0 0000-0003-2948-876X |a Weinand, Jann Michael |b 3 |
700 | 1 | _ | |0 P:(DE-82)IDM01238 |a Stolten, Detlef |b 4 |u rwth |
773 | _ | _ | |0 PERI:(DE-600)1481962-4 |a 10.1016/j.buildenv.2025.112782 |p 112782 |t Building and environment |v 274 |x 1873-684X |y 2025 |
856 | 4 | _ | |u https://publications.rwth-aachen.de/record/1008728/files/1008728.pdf |y OpenAccess |
909 | C | O | |o oai:publications.rwth-aachen.de:1008728 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)992663 |a RWTH Aachen |b 0 |k RWTH |
910 | 1 | _ | |0 I:(DE-588b)36225-6 |6 P:(DE-82)IDM01238 |a RWTH Aachen |b 4 |k RWTH |
914 | 1 | _ | |y 2025 |
915 | 1 | _ | |0 StatID:(DE-HGF)0031 |2 StatID |a Peer reviewed article |x 0 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-28 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-28 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1160 |2 StatID |b Current Contents - Engineering, Computing and Technology |d 2024-12-28 |
915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b BUILD ENVIRON : 2022 |d 2024-12-28 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-28 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2024-12-28 |
915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b BUILD ENVIRON : 2022 |d 2024-12-28 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2024-12-28 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2024-12-28 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-28 |
920 | 1 | _ | |0 I:(DE-82)413010_20140620 |k 413010 |l Lehrstuhl für Brennstoffzellen (FZ Jülich) |x 0 |
980 | _ | _ | |a I:(DE-82)413010_20140620 |
980 | _ | _ | |a UNRESTRICTED |
980 | _ | _ | |a VDB |
980 | _ | _ | |a journal |
980 | 1 | _ | |a FullTexts |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|