cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48436/dwvwk-brr04
title: Adaptierter Siedlungsraum für Einwohner:innen (2020) und Beschäftigte (2018) in Österreich

description: +++ Background +++
Ein Konsortium bestehend aus (1) Elke Szalai, (2) Institut für Transportwirtschaft und Logistik der Wirtschaftsuniversität Wien, (3) Österreichisches Institut für Wirtschaftsforschung und (4) Forschungsbereich für Verkehrsplanung und Verkehrstechnik der TU Wien wurde vom Österreichischen Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation & Technologie (BMK) im Wege der Österreichischen Forschungsförderungsgesellschaft (FFG) mit dem Projekt "FLADEMO - Flächendeckende Mobilitäts-Servicegarantie" beauftragt.
Ein Teil dieses Projekts war die Analyse der flächendeckenden Versorgung mit Dienstleistungen des Öffentlichen Verkehrs (ÖV) in Österreich. Zum Zweck der räumlichen Verteilung von Einwohner:innen und Beschäftigten wurde ein neuer Flächendatensatz definiert und generierert, der Adaptierte Siedlungsraum (ASR).
+++ Datengenerierung +++
Ausführliche, illustrierte Beschreibung siehe Datei 2021-08-18_FLADEMO-task2-2_GIS_v1.pdf.
+++ Datenbeschreibung +++
Der Adaptierte Siedlungsraum für Einwohner:innen im Jahr 2020 (ASR-EW-2020) sowie für Beschäftigte des Jahres 2018 (ASR-BESCH-2018) wurde mit dem ÖV-Güteklassen (GKL) an Werktagen mit Schule (WTS) als auch an Werktagen in den Ferien (WTF) verschnitten.
Jede der vier Dateien (1) - (4) beinhaltet zwei Reiter:

META: hier sind die Variablen aufgelistet und beschrieben.
Datentabelle: Datentabelle mit selbem Namen wie das File (1) - (4).
Die vierstelligen Nummern zu Beginn der vier Dateinamen sind die Nummern des jeweiligen Bearbeitungsschrittes innerhalb des Projekts und dienen der Nachvollziehbarkeit. Sie haben keine darüber hinaus weiterführende Bedeutung.
+++ Projektfinanzierung +++
FLADEMO - Flächendeckende Mobilitäts-Servicegarantie, FFG-Projektnr. 884363.
+++ Dateien +++
(1) 0033_ASR-EW-2020_GKL_WTS.xlsx(2) 0039_ASR-EW-2020_GKL_WTF.xlsx(3) 0051_ASR-BESCH-2018_GKL_WTS.xlsx(4) 0057_ASR-BESCH-2018_GKL_WTF.xlsx(5) 2021-08-18_FLADEMO-task2-2_GIS_v1.pdf: Beschreibung der Daten, ihrer Quellen und der damit umgesetzten Operationen.
DOI: 10.48436/njz0q-hg124
title: Adaptierter Siedlungsraum für Einwohner:innen (2020) und Beschäftigte (2018) in Österreich

description: +++ Background +++
Ein Konsortium bestehend aus (1) Elke Szalai, (2) Institut für Transportwirtschaft und Logistik der Wirtschaftsuniversität Wien, (3) Österreichisches Institut für Wirtschaftsforschung und (4) Forschungsbereich für Verkehrsplanung und Verkehrstechnik der TU Wien wurde vom Österreichischen Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation & Technologie (BMK) im Wege der Österreichischen Forschungsförderungsgesellschaft (FFG) mit dem Projekt "FLADEMO - Flächendeckende Mobilitäts-Servicegarantie" beauftragt.
Ein Teil dieses Projekts war die Analyse der flächendeckenden Versorgung mit Dienstleistungen des Öffentlichen Verkehrs (ÖV) in Österreich. Zum Zweck der räumlichen Verteilung von Einwohner:innen und Beschäftigten wurde ein neuer Flächendatensatz definiert und generierert, der Adaptierte Siedlungsraum (ASR).
+++ Datengenerierung +++
Ausführliche, illustrierte Beschreibung siehe Datei 2021-08-18_FLADEMO-task2-2_GIS_v1.pdf.
+++ Datenbeschreibung +++
Der Adaptierte Siedlungsraum für Einwohner:innen im Jahr 2020 (ASR-EW-2020) sowie für Beschäftigte des Jahres 2018 (ASR-BESCH-2018) wurde mit dem ÖV-Güteklassen (GKL) an Werktagen mit Schule (WTS) als auch an Werktagen in den Ferien (WTF) verschnitten.
Jede der vier Dateien (1) - (4) beinhaltet zwei Reiter:

META: hier sind die Variablen aufgelistet und beschrieben.
Datentabelle: Datentabelle mit selbem Namen wie das File (1) - (4).
Die vierstelligen Nummern zu Beginn der vier Dateinamen sind die Nummern des jeweiligen Bearbeitungsschrittes innerhalb des Projekts und dienen der Nachvollziehbarkeit. Sie haben keine darüber hinaus weiterführende Bedeutung.
+++ Projektfinanzierung +++
FLADEMO - Flächendeckende Mobilitäts-Servicegarantie, FFG-Projektnr. 884363.
+++ Dateien +++
(1) 0033_ASR-EW-2020_GKL_WTS.xlsx(2) 0039_ASR-EW-2020_GKL_WTF.xlsx(3) 0051_ASR-BESCH-2018_GKL_WTS.xlsx(4) 0057_ASR-BESCH-2018_GKL_WTF.xlsx(5) 2021-08-18_FLADEMO-task2-2_GIS_v1.pdf: Beschreibung der Daten, ihrer Quellen und der damit umgesetzten Operationen.
DOI: 10.5281/zenodo.4061232
title: Problem Instances for "Exact and Meta-Heuristic Approaches for Unrelated Parallel Machine Scheduling"

description: This dataset contains the following instance sets from the Master's Thesis and Journal Paper "Exact and Meta-Heuristic Approaches for Unrelated Parallel Machine Scheduling", currently under submission for a journal: Training instances Validation instances, with reference solutions Real-Life instances
DOI: 10.48436/7xh28-7nv60
title: The CLEF-IP 2011 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.
There were four tasks in 2011: The first one was to find patent documents that are candidates to constitute prior art for a given document. The second task was to classify a given document according to the International Patent Classification system (IPC). The third task was to retrieve patent document that are candidates for prior art, where, in addition to the first task, images contained in the patent documents must be proceesd as well. The fourth task was to classifiy patent images into 9 classes in use at patent office. Relevance judgements are produced using the patent citations and meta-data.
Files

Document CollectionThe corpus consists of two parts. The first one is a set of XML files representing a total of over 1.3 million patent documents - this collection is to be used for the first task. The second part is a subset of the first one to which images containing patent drawings are added - this collection is to be used for the third task. 
Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
GuidelinesDetailed explanation on how to work with the tasks from the corpus.
DOI: 10.48436/s7jbf-nzp35
title: CLEF-IP 2011

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual PropertyThe CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.There were four tasks in 2011: The first one was to find patent documents that are candidates to constitute prior art for a given document. The second task was to classify a given document according to the International Patent Classification system (IPC). The third task was to retrieve patent document that are candidates for prior art, where, in addition to the first task, images contained in the patent documents must be proceesd as well. The fourth task was to classifiy patent images into 9 classes in use at patent office. Relevance judgements are produced using the patent citations and meta-data.FilesDocument CollectionThe corpus consists of two parts. The first one is a set of XML files representing a total of over 1.3 million patent documents - this collection is to be used for the first task. The second part is a subset of the first one to which images containing patent drawings are added - this collection is to be used for the third task. Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.GuidelinesDetailed explanation on how to work with the tasks from the corpus.
DOI: 10.48436/9sxbq-js515
title: The CLEF-IP 2009 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track was launched in 2009 to investigate IR techniques for patent retrieval and it is part of the CLEF 2009 evaluation campaign.The track utilizes a collection of more than 1M patent documents derived from EPO (European Patent Office) sources. The collection contains documents in English, French and German with at least 100,000 documents in each language. The task is to find patent documents that constitute prior art. The topics are complete patent documents that participants can process to extract queries. In addition to the Main task, CLEF-IP 2009 provided three language tasks (English, German, French) where topics were in one of these three languages.
Relevance judgements were produced by two methods: automatically, using patent citations from seed patents; and manual for a small number of queries for which search results will be reviewed by Intellectual Property Experts.
Files

Document CollectionThe CLEF-IP 2009 collection of documents consists of XML files. There are 1,9 million XML files, corresponding to approximately 1 million individual patents filed between 1985 and 2000. A dtd file for the XML format is provided as well.
Topics and Answers (Qrels)Both the training and the test topic sets contain also the relevance assessments for the topics. For each task of the CLEF-IP 09 track, we provide 4 sets of different sizes of topic test sets: XLarge, Large, Medium, Small.
GuidelinesContains detailed explanation on how to work with the four tasks from the corpus.
DOI: 10.48436/a2svx-p1y38
title: The CLEF-IP 2009 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track was launched in 2009 to investigate IR techniques for patent retrieval and it is part of the CLEF 2009 evaluation campaign.The track utilizes a collection of more than 1M patent documents derived from EPO (European Patent Office) sources. The collection contains documents in English, French and German with at least 100,000 documents in each language. The task is to find patent documents that constitute prior art. The topics are complete patent documents that participants can process to extract queries. In addition to the Main task, CLEF-IP 2009 provided three language tasks (English, German, French) where topics were in one of these three languages.
Relevance judgements were produced by two methods: automatically, using patent citations from seed patents; and manual for a small number of queries for which search results will be reviewed by Intellectual Property Experts.
Files

Document CollectionThe CLEF-IP 2009 collection of documents consists of XML files. There are 1,9 million XML files, corresponding to approximately 1 million individual patents filed between 1985 and 2000. A dtd file for the XML format is provided as well.
Topics and Answers (Qrels)Both the training and the test topic sets contain also the relevance assessments for the topics. For each task of the CLEF-IP 09 track, we provide 4 sets of different sizes of topic test sets: XLarge, Large, Medium, Small.
GuidelinesContains detailed explanation on how to work with the four tasks from the corpus.
DOI: 10.48436/2zx6e-5pr64
title: The MAREC/IREC data set

description: MAREC/IREC: The MAtrixware REsearch Collection / The Information retrieval facility Research Collection
MAREC/IREC is a static collection of over 19 million patent applications and granted patents in a unified file format normalized from EP, WO, US, and JP sources, spanning a range from 1976 to June 2008. MAREC/IREC is intended as raw material for research and evaluation in areas such as information retrieval, natural language processing or machine translation, which require large amounts of complex documents. It allows experiments with real data on a realistic scale.The collection contains documents in several languages, the majority being English, German and French, and about half of the documents include full text.
In MAREC/IREC, the documents from different countries and sources are normalized to a common XML format with a uniform patent numbering scheme and citation format. The standardized fields include dates, countries, languages, references, person names, and companies as well as rich subject classifications. It is a comparable corpus, where many documents are available in similar versions in other languages.
The 19,386,697 XML files measure a total of 621 GB. 
IREC - Information retrieval facility Research Collection
The MAREC original collection was missing parts of the European Granted Patents claim section (EP-B documents). An EPB_Bugfix folder existed to provide those files corrected. The IREC simply merges the original EPB folder with the EPB_Bugfix in order to provide a uniform representation. The CLEF-IP collections have never been affected by this issue, as they were specially curated.
License Information
MAREC by IRF is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Permissions beyond the scope of this license may be available at mailto:marec@fandan.net.
DOI: 10.48436/5hpm6-gfk19
title: The MAREC/IREC data set

description: MAREC/IREC: The MAtrixware REsearch Collection / The Information retrieval facility Research Collection
MAREC/IREC is a static collection of over 19 million patent applications and granted patents in a unified file format normalized from EP, WO, US, and JP sources, spanning a range from 1976 to June 2008. MAREC/IREC is intended as raw material for research and evaluation in areas such as information retrieval, natural language processing or machine translation, which require large amounts of complex documents. It allows experiments with real data on a realistic scale.The collection contains documents in several languages, the majority being English, German and French, and about half of the documents include full text.
In MAREC/IREC, the documents from different countries and sources are normalized to a common XML format with a uniform patent numbering scheme and citation format. The standardized fields include dates, countries, languages, references, person names, and companies as well as rich subject classifications. It is a comparable corpus, where many documents are available in similar versions in other languages.
The 19,386,697 XML files measure a total of 621 GB. 
IREC - Information retrieval facility Research Collection
The MAREC original collection was missing parts of the European Granted Patents claim section (EP-B documents). An EPB_Bugfix folder existed to provide those files corrected. The IREC simply merges the original EPB folder with the EPB_Bugfix in order to provide a uniform representation. The CLEF-IP collections have never been affected by this issue, as they were specially curated.
License Information
MAREC by IRF is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Permissions beyond the scope of this license may be available at mailto:marec@fandan.net.
DOI: 10.48436/t2v56-hjf22
title: Nanditha Kattukudiyil Narayanan: 2-(o-Tolyl) Pyridine as Ligand Improves the Efficiency in Ketone Directed ortho-Arylation

description: Uploaded files:

1. Zip-folder: NMR data files (fid) for all newly synthesized compounds of this project. The fids can be opened with all standard NMR-evaluation software (e.g. MestreNova, TopSpin, ACD-Labs, etc.)

2. pdf document with a conversion table of the publication numbers of compounds into the number from the measured files

3. pdf document with the supporting info for the publication "2-(o-Tolyl) Pyridine as Ligand Improves the Efficiency in Ketone Directed ortho-Arylation"
DOI: 10.48436/2xs1a-sd524
title: The CLEF-IP 2013 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.
There was one task in 2013: The first one was to find patent documents that are candidates to constitute prior art for a given claim taken from a patent document. 
Files

Document CollectionThe corpus consists of two parts. The first one is a set of XML files representing a total of over 1.3 million patent documents - this collection is to be used for the first task.NOTE: the document collection is the same as the one published for CLEF-IP 2011, excluding images.
Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
DOI: 10.48436/nw2xc-41j75
title: CLEF-IP 2013

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual PropertyThe CLEF-IP track ran from 2009 to 2013 and aimed to investigate IR techniques for patent retrieval.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources and EuroPCT Applications (more than 400K documents) published by WIPO (World Intelectual Property Organization). The collection contains documents in English, French and German with at least 150,000 documents in each language, all published before 2001.There was one task in 2013: The first one was to find patent documents that are candidates to constitute prior art for a given claim taken from a patent document. FilesDocument CollectionThe corpus consists of two parts. The first one is a set of XML files representing a total of over 1.3 million patent documents - this collection is to be used for the first task.NOTE: the document collection is the same as the one published for CLEF-IP 2011, excluding images.Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
DOI: 10.48436/dfds7-7az62
title: The CLEF-IP 2010 Test Collection

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual Property
The CLEF-IP track was launched in 2009 to investigate IR techniques for patent retrieval and it is part of the CLEF 2010 evaluation campaign.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources, and published before 2001. The collection contains documents in English, French and German with at least 150,000 documents in each language. The task is to find patent documents that constitute prior art.
There are two tasks in the 2010's track. The first one is to find patent documents that are candidates to constitute prior art for a given document. The second task is to classify a given document according to the International Patent Classification system (IPC). Relevance judgements are produced using the patent citations and meta-data (bibliographic data).
Files

Document CollectionThe collection contains over 2.6 million XML files.
Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.
GuidelinesDetailed explanation on how to work with the tasks from the corpus.
DOI: 10.48436/jqrsc-jbq51
title: CLEF-IP 2010

description: CLEF-IP: Cross-Language Evaluation Forum - Intellectual PropertyThe CLEF-IP track was launched in 2009 to investigate IR techniques for patent retrieval and it is part of the CLEF 2010 evaluation campaign.The track utilizes a collection of more than 1.3M patent documents (~2.6 million files) derived from EPO (European Patent Office) sources, and published before 2001. The collection contains documents in English, French and German with at least 150,000 documents in each language. The task is to find patent documents that constitute prior art.There are two tasks in the 2010's track. The first one is to find patent documents that are candidates to constitute prior art for a given document. The second task is to classify a given document according to the International Patent Classification system (IPC). Relevance judgements are produced using the patent citations and meta-data (bibliographic data).FilesDocument CollectionThe collection contains over 2.6 million XML files.Topics and AnswersBoth the training and the test topic sets contain also the relevance assessments for the topics.GuidelinesDetailed explanation on how to work with the tasks from the corpus.
DOI: 10.48436/9g4pd-n3s32
title: 3D Reconstruction Model of the Former Synagogue in the Eitelbergergasse 22, Vienna  (1928/29 | architect: Arthur Grünberger)

description: This record contains model data originally created in the framework of the masters' thesis of Roland Müller at TU Wien (2008).
Facts: Association synagogue of the Tempelverein Hietzing (Hietzing Temple Association) |
Erected 1928/29 | Architectural competition 1924; architect: Arthur Grünberger (with Adolf Jelletz) | Capacity: seating for 136 women and 244 men; small prayer room: 34 seats | Appearance: free-standing, block-shaped building with a ring of stylized merlons; no towers or other kinds of decoration
See also:
* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5
 
description: The data set includes
- Modelling software: ArchiCAD *.PLA - Archive
- Rendering Software: ArtLantis *.ATLA - Archive
- Panoramic representation: *.HTML & *.PNO
DOI: 10.48436/kke58-vpc23
title: 3D Reconstruction Model of the Former Synagogue in the Eitelbergergasse 22, Vienna  (1928/29 | architect: Arthur Grünberger)

description: This record contains model data originally created in the framework of the masters' thesis of Roland Müller at TU Wien (2008).
Facts: Association synagogue of the Tempelverein Hietzing (Hietzing Temple Association) |
Erected 1928/29 | Architectural competition 1924; architect: Arthur Grünberger (with Adolf Jelletz) | Capacity: seating for 136 women and 244 men; small prayer room: 34 seats | Appearance: free-standing, block-shaped building with a ring of stylized merlons; no towers or other kinds of decoration
See also:
* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5
 
description: The data set includes
- Modelling software: ArchiCAD *.PLA - Archive
- Rendering Software: ArtLantis *.ATLA - Archive
- Panoramic representation: *.HTML & *.PNO