cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7685062
title: Reddit and StackOverflow dataset (Programming languages)

description: This data set contains anonymized data collected from Reddit (via the Pushshift API) and StackOverflow (from Kaggle's dataset). Each folder includes the data split by trimester. The schema of StackOverflow and Reddit-related files follows: Fields from StackOverflow question_id answer_id creation_date - answer creation_date score - score of the question/answer tags - all tags flagged for a question answer_count - number of answers for a question start_question - question's time of creation last_activity_date - last update on the question new_id - hashed id of the answerer q_new_id - hashed id of the questioner Fields from Reddit comment_id submission_id score - score of the question/submission subreddit created_utc - time of creation (unrelated to last modified comments) new_id - hashed id The .txt files represent the structure of the corresponding hypergraphs.
DOI: 10.5281/zenodo.7685061
title: Reddit and StackOverflow dataset (Programming languages)

description: This data set contains anonymized data collected from Reddit (via the Pushshift API) and StackOverflow (from Kaggle's dataset). Each folder includes the data split by trimester. The schema of StackOverflow and Reddit-related files follows: Fields from StackOverflow question_id answer_id creation_date - answer creation_date score - score of the question/answer tags - all tags flagged for a question answer_count - number of answers for a question start_question - question's time of creation last_activity_date - last update on the question new_id - hashed id of the answerer q_new_id - hashed id of the questioner Fields from Reddit comment_id submission_id score - score of the question/submission subreddit created_utc - time of creation (unrelated to last modified comments) new_id - hashed id The .txt files represent the structure of the corresponding hypergraphs.
DOI: 10.5517/cc12zfm3
title: CCDC 1012355: Experimental Crystal Structure Determination

description: Related Article: A.A. Prasad, S.P. Meenakshisundaram|2015|J.Appl.Crystallogr.|48|844|doi:10.1107/S1600576715006445
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc14b7j7
title: CSD 1052528: Experimental Crystal Structure Determination

description: Related Article: M. Gemmi, M.G.I. La Placa, A.S. Galanis, E.F. Rauch, S. Nicolopoulos|2015|J.Appl.Crystallogr.|48|718|doi:10.1107/S1600576715004604
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14cgcb
title: CCDC 1053701: Experimental Crystal Structure Determination

description: Related Article: Q. Chen, J. Yao, X. Hu, J. Shen, Y. Sheng, H. Liu|2015|J.Appl.Crystallogr.|48|728|doi:10.1107/S1600576715004938
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc73ndc
title: CCDC 212052: Experimental Crystal Structure Determination

description: Related Article: J. Kong, J. Du, J. Wang, Z. Chen|2015|J.Appl.Crystallogr.|48|909|doi:10.1107/S1600576715005889
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc73nfd
title: CCDC 212053: Experimental Crystal Structure Determination

description: Related Article: J. Kong, J. Du, J. Wang, Z. Chen|2015|J.Appl.Crystallogr.|48|909|doi:10.1107/S1600576715005889
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc73ngf
title: CCDC 212054: Experimental Crystal Structure Determination

description: Related Article: J. Kong, J. Du, J. Wang, Z. Chen|2015|J.Appl.Crystallogr.|48|909|doi:10.1107/S1600576715005889
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc12z8lx
title: CCDC 1012199: Experimental Crystal Structure Determination

description: Related Article: J. Kong, J. Du, J. Wang, Z. Chen|2015|J.Appl.Crystallogr.|48|909|doi:10.1107/S1600576715005889
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bvdw
title: CCDC 2095798: Experimental Crystal Structure Determination

description: Related Article: Li Ling, Zeli Song, He Shan, Chao Wang, Shouting Li, Yanjiao Wang, Jianfeng Hu, Qian Chen, Hao Zhang, Yong Yang|2023|Chem.Commun.|59|2739|doi:10.1039/D2CC06492H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bwp6
title: CCDC 2095838: Experimental Crystal Structure Determination

description: Related Article: Li Ling, Zeli Song, He Shan, Chao Wang, Shouting Li, Yanjiao Wang, Jianfeng Hu, Qian Chen, Hao Zhang, Yong Yang|2023|Chem.Commun.|59|2739|doi:10.1039/D2CC06492H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28bvcv
title: CCDC 2095797: Experimental Crystal Structure Determination

description: Related Article: Li Ling, Zeli Song, He Shan, Chao Wang, Shouting Li, Yanjiao Wang, Jianfeng Hu, Qian Chen, Hao Zhang, Yong Yang|2023|Chem.Commun.|59|2739|doi:10.1039/D2CC06492H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bjfnz
title: CCDC 2160751: Experimental Crystal Structure Determination

description: Related Article: Li Ling, Zeli Song, He Shan, Chao Wang, Shouting Li, Yanjiao Wang, Jianfeng Hu, Qian Chen, Hao Zhang, Yong Yang|2023|Chem.Commun.|59|2739|doi:10.1039/D2CC06492H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bjfq1
title: CCDC 2160753: Experimental Crystal Structure Determination

description: Related Article: Li Ling, Zeli Song, He Shan, Chao Wang, Shouting Li, Yanjiao Wang, Jianfeng Hu, Qian Chen, Hao Zhang, Yong Yang|2023|Chem.Commun.|59|2739|doi:10.1039/D2CC06492H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f0790
title: CCDC 2234551: Experimental Crystal Structure Determination

description: Related Article: Alexandra Hildebrand, Peter Lönnecke, Luminita Silaghi-Dumitrescu, Evamarie Hey-Hawkins|2023|Inorg.Chim.Acta|550|121433|doi:10.1016/j.ica.2023.121433
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2drlc4
title: CCDC 2227206: Experimental Crystal Structure Determination

description: Related Article: Nikita Chakraborty, Kamal K. Rajbongshi, Anjali Dahiya, Bubul Das, Akshar Vaishnani, Bhisma K. Patel|2023|Chem.Commun.|59|2779|doi:10.1039/D3CC00142C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.19291856
title: Data_SSR_P.sibirica.xlsx

description: The SSRs dataset presented by GenAlEx 6.502 format.
DOI: 10.6084/m9.figshare.19291856.v1
title: Data_SSR_P.sibirica.xlsx

description: The SSRs dataset presented by GenAlEx 6.502 format.
DOI: 10.6084/m9.figshare.20892247
title: Pinus_sibirica_pseudo-absences

description: 306 filtered pseudo-absences of P. sibirica for SDM
DOI: 10.6084/m9.figshare.20892247.v1
title: Pinus_sibirica_pseudo-absences

description: 306 filtered pseudo-absences of P. sibirica for SDM
DOI: 10.5281/zenodo.7108125
title: Combining the API Rate Limit, Request Bundle, and Load Balancing Patterns in Microservice Architectures: Performance and Reliability Analysis

description: There are many challenges in maintaining the desired quality of service levels in modern microservice and cloud applications. Numerous techniques and patterns, such as API Rate Limit, Load Balancing, and Request Bundle, have been suggested for API services and clients to improve quality properties related to performance and reliability. However, no study has measured the impact of these techniques and their combinations in a specific configuration, especially using a large distributed system workload setting. This paper empirically studies the effects of combining the API Rate Limit, Load Balancing, and Request Bundle patterns based on a realistic, third-party microservice-based application deployed in a private cloud and on the Amazon Web Services cloud (AWS) using 130 different configurations. We have run each configuration 500 times in the private cloud, totaling more than 4500 hours of runtime, and 200 times on AWS, totaling more than 3900 hours of runtime. We developed regression models from the collected data to predict the performance and reliability impacts of combining such techniques and patterns. We found that the models provide acceptable prediction errors below 30% on the private cloud and AWS. Further, we found that the models work best in highly reliable environments like AWS. In addition to the concrete analyses provided in our work, we propose a general and largely automated method that can be followed iteratively to evaluate similar techniques and patterns for their quality properties.
DOI: 10.17870/bathspa.22194739.v1
title: Research data deposit licence

description: This is a copy of the deposit licence agreed by all users of BathSPAdata.
DOI: 10.5281/zenodo.7691767
title: CaBuAr P2

description: <pre># California Burned Areas Dataset This is the second part of the dataset ### Dataset Summary This dataset contains images from Sentinel-2 satellites taken before and after a wildfire. The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images. ### Supported Tasks The dataset is designed to do binary semantic segmentation of burned vs unburned areas. ## Dataset Structure ### Dataset opening Dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data** ### Data Instances Each matrix has a shape of 5490x5490xC, where C is 12 for pre-fire and post-fire images, while it is 0 for binary masks. ### Data Fields In each HDF5 file, you can find post-fire, pre-fire images and binary masks. The file is structured in this way: ```bash ├── foldn │ ├── uid0 │ │ ├── pre_fire │ │ ├── post_fire │ │ ├── mask │ ├── uid1 │ ├── post_fire │ ├── mask │ ├── foldm ├── uid2 │ ├── post_fire │ ├── mask ├── uid3 ├── pre_fire ├── post_fire ├── mask ... ``` where `foldn` and `foldm` are fold names and `uidn` is a unique identifier for the wilfire. ### Data Splits There are 5 random splits whose names are: 0, 1, 2, 3 and 4. ## Dataset Creation ### Source Data #### Initial Data Collection and Normalization Data are collected directly from Copernicus Open Access Hub through the API. The band files are aggregated into one single matrix.</pre>
DOI: 10.5281/zenodo.7691766
title: CaBuAr P2

description: <pre># California Burned Areas Dataset This is the second part of the dataset ### Dataset Summary This dataset contains images from Sentinel-2 satellites taken before and after a wildfire. The ground truth masks are provided by the California Department of Forestry and Fire Protection and they are mapped on the images. ### Supported Tasks The dataset is designed to do binary semantic segmentation of burned vs unburned areas. ## Dataset Structure ### Dataset opening Dataset was compressed using `h5py` and BZip2 from `hdf5plugin`. **WARNING: `hdf5plugin` is necessary to extract data** ### Data Instances Each matrix has a shape of 5490x5490xC, where C is 12 for pre-fire and post-fire images, while it is 0 for binary masks. ### Data Fields In each HDF5 file, you can find post-fire, pre-fire images and binary masks. The file is structured in this way: ```bash ├── foldn │ ├── uid0 │ │ ├── pre_fire │ │ ├── post_fire │ │ ├── mask │ ├── uid1 │ ├── post_fire │ ├── mask │ ├── foldm ├── uid2 │ ├── post_fire │ ├── mask ├── uid3 ├── pre_fire ├── post_fire ├── mask ... ``` where `foldn` and `foldm` are fold names and `uidn` is a unique identifier for the wilfire. ### Data Splits There are 5 random splits whose names are: 0, 1, 2, 3 and 4. ## Dataset Creation ### Source Data #### Initial Data Collection and Normalization Data are collected directly from Copernicus Open Access Hub through the API. The band files are aggregated into one single matrix.</pre>
DOI: 10.25625/sn1oew/hmv12j
title: Digitale Basiskompetenzen - Literatur.rdf

description: :unav
DOI: 10.25625/sn1oew
title: DiBko-Seminarmaterialien: 01 KMK 1: Informationen speichern und abrufen - Teil 2: Literaturverwaltungsprogramme

description: Material zum Seminar "Digitalisierungsbezogene Basiskompetenzen" (DiBko), entwickelt im Rahmen des Forschungs- und Entwicklungsprojekts Cu2RVE an der Universität Hildesheim. Zielgruppe: Lehramtsstudierende im Bachelor. Gehört zu: Seminarmodul "KMK 1: Informationen speichern und abrufen - Teil 2", Kapitel "Literaturverwaltungsprogramme".
DOI: 10.25625/odvhlw/mryilw
title: ScreenshotsWindows.mp4

description: :unav
DOI: 10.25625/odvhlw/zcgmab
title: ScreenshotsMacOS.mp4

description: :unav
DOI: 10.25625/odvhlw
title: DiBko-Seminarmaterialien: 02 KMK 3: Bildbearbeitung: Parallelen zur Videobearbeitung

description: Material zum Seminar "Digitalisierungsbezogene Basiskompetenzen" (DiBko), entwickelt im Rahmen des Forschungs- und Entwicklungsprojekts Cu2RVE an der Universität Hildesheim. Zielgruppe: Lehramtsstudierende im Bachelor. Gehört zu: Seminarmodul "KMK 3: Bildbearbeitung", Kapitel "Parallelen zur Videobearbeitung".
DOI: 10.25625/4rgscw/ng5mrw
title: Adressen.tab

description: :unav
DOI: 10.25625/4rgscw
title: DiBko-Seminarmaterialien: 03 KMK 3: Weiterführende Perspektiven zu Produzieren und Präsentieren: Kommaseparierte Dateien

description: Material zum Seminar "Digitalisierungsbezogene Basiskompetenzen" (DiBko), entwickelt im Rahmen des Forschungs- und Entwicklungsprojekt Cu2RVE an der Universität Hildesheim. Zielgruppe: Lehramtsstudierende im Bachelor. Gehört zu: Seminarmodul "KMK 3: Weiterführende Perspektiven zu Produzieren und Präsentieren", Kapitel "Kommaseparierte Dateien".
DOI: 10.25625/yzc0pj
title: DiBko-Seminarmaterialien: 04 KMK 3: Weiterführende Perspektiven zu Produzieren und Präsentieren: Rastergrafiken vs. Vektorgrafiken

description: Material zum Seminar "Digitalisierungsbezogene Basiskompetenzen" (DiBko), entwickelt im Rahmen des Forschungs- und Entwicklungsprojekts Cu2RVE an der Universität Hildesheim. Zielgruppe: Lehramtsstudierende im Bachelor. Gehört zu: Seminarmodul "Weiterführende Perspektiven zu Produzieren und Präsentieren", Kapitel "Rastergrafiken vs. Vektorgrafiken".
DOI: 10.25625/yzc0pj/nzzqox
title: Raster-Vektor.odp

description: :unav
DOI: 10.25625/wi2ngd
title: DiBko-Seminarmaterialien: 05 KMK 5: Algorithmen und Computational Thinking: Funktionen bei Tabellenkalkulationsprogrammen – Teil 2

description: Material zum Seminar "Digitalisierungsbezogene Basiskompetenzen" (DiBko), entwickelt im Rahmen des Forschungs- und Entwicklungsprojekts Cu2RVE an der Universität Hildesheim. Zielgruppe: Lehramtsstudierende im Bachelor. Gehört zu: Seminarmodul "KMK 5: Algorithmen und Computational Thinking", Kapitel "Funktionen bei Tabellenkalkulationsprogrammen – Teil 2".
DOI: 10.25625/wi2ngd/knlksn
title: NotenspiegelVorlage.ods

description: :unav
DOI: 10.6084/m9.figshare.22202902
title: raw stata.xls

description: This is the dataset for the manuscript "<strong>Effects of treatment with GLP-1RA on prediabetes with overweight/obesity: a systematic review and meta-analysis</strong>"
DOI: 10.6084/m9.figshare.22202902.v1
title: raw stata.xls

description: This is the dataset for the manuscript "<strong>Effects of treatment with GLP-1RA on prediabetes with overweight/obesity: a systematic review and meta-analysis</strong>"
DOI: 10.34740/kaggle/dsv/5094176
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/5094183
title: Dataset, Images of symbols
DOI: 10.5281/zenodo.7688595
title: Native qudit entanglement in a trapped ion quantum processor

description: Source data underlying the graphical representations used in the figures.
DOI: 10.5281/zenodo.7688594
title: Native qudit entanglement in a trapped ion quantum processor

description: Source data underlying the graphical representations used in the figures.
DOI: 10.17632/p3sztty6nx.1
title: The computer-based simulation and students’ attitudes towards chemistry in Rwandan selected schools.

description: The data uploaded here were collected with intention of responding to research questions which were to identify if there were differences in students’ attitudes among the groups (Experimental and Control). One group taught chemical reactions by using simulations and one used conventional methods and how well students perceived the use of simulations in their learning. The study was a quasi-experimental design where pre-test and post-test were conducted before and after the intervention.  Structured interviews and questionnaires were used to collect data. SPSS and Excel were used to analyze the study findings. The results show that before the intervention students were at the same perspective about the difficulty and show less interest in chemistry but those from the experimental showed great improvement in their attitudes after the intervention, especially in the domain of difficulty and interest in chemistry. The results also show that students were motivated by simulations to learn chemistry, increased their confidence in solving chemistry problems and improved their collaboration skills.
DOI: 10.17632/3rcz2tfd4y.1
title: CITY PARK DATA

description: The Nairobi City Park (NCP) was established in 1920, originally as a zoological garden and declared a public park in 1925. It occupied an area of 91 ha but due to illegal alienations, a third of the area has been lost to land grabbers (Makworo & Mireri, 2011). The NCP is an indigenous upland semi-deciduous dry forest whose vegetation is dominated by Croton megalocarpus-Calodendrum capense, usually mixed with Markhamia lutea, Dracaena steudneri, Diospyros abyssinica, Albizia and Vepris species
DOI: 10.17632/h3tg89339r.1
title: Echocardiographic predictors of mortality in intermediate-risk pulmonary embolism

description: scientific research for publishing the article
DOI: 10.26300/vaym-mz36
title: R code for A National Typology of Health Service Regulation in Assisted Living