cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3689756
title: Inelastic panel zone database

description: 1. Inelastic_Panel_Zone_Database_v1.xlsx An inelastic panel zone database of fully restrained beam-to-column connection tests as part of steel moment-resisting frames (MRFs) is provided. The database consists of 100 tests of experimental research over the last 50 years. The collection and metadata methodology are thoroughly presented in Skiadopoulos and Lignos (2020). 2. Digitized_Data_v1.7z Full digitized histories of the local panel zone shear force - shear distortion as well as the global force - story drift ratio hysteretic diagrams of each experiment are provided. A MATLAB code to plot and acquire the performance parameters of interest is shared. 3. Panel_Zone_Deduced_Parameters_v1.m A MATLAB code to automatically deduce the measured panel zone response parameters of interest is shared. 4. ABAQUS_Model_Validation_v1.7z The provided hysteretic responses are exploited for continuum finite element (CFE) model validation. Such a validated CFE model is shared (.inp) together with the respective buckling analysis files (.inp and .fil). The model represents SPEC-6 by Ricles et al. (2004) and was generated by ABAQUS.
description: Disclaimer: The inelastic panel zone database and aforementioned information was assembled as a service to the research and practice communities in earthquake/structural engineering. EPFL, Nippon Steel Corporation, and the researchers who performed the experiments make no warranties to the accuracy of the information that has been collected, digitized and processed. If you have any questions, comments or suggestions, please contact Prof. Dimitrios Lignos at EPFL.
description: {"references": ["Skiadopoulos, A., and D. G. Lignos. Forthcoming. \"Development of inelastic panel zone database.\" J. Struct. Eng. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002957.", "Skiadopoulos, A., A. Elkady, D. G. Lignos. Forthcoming. \"Proposed panel zone model for seismic design of steel moment-resisting frames.\" J. Struct. Eng. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002935", "Skiadopoulos, A., Elkady, A., Lignos, D. G. (2020). \"Improved panel zone model for seismic design of steel moment-resisting frames.\" Proc. In 17th World Conference of Earthquake Engineering (17WCEE), September, 13-18, 2020, Sendai, Japan"]}
DOI: 10.5281/zenodo.3689755
title: Inelastic panel zone database

description: 1. Inelastic_Panel_Zone_Database_v1.xlsx An inelastic panel zone database of fully restrained beam-to-column connection tests as part of steel moment-resisting frames (MRFs) is provided. The database consists of 100 tests of experimental research over the last 50 years. The collection and metadata methodology are thoroughly presented in Skiadopoulos and Lignos (2020). 2. Digitized_Data_v1.7z Full digitized histories of the local panel zone shear force - shear distortion as well as the global force - story drift ratio hysteretic diagrams of each experiment are provided. A MATLAB code to plot and acquire the performance parameters of interest is shared. 3. Panel_Zone_Deduced_Parameters_v1.m A MATLAB code to automatically deduce the measured panel zone response parameters of interest is shared. 4. ABAQUS_Model_Validation_v1.7z The provided hysteretic responses are exploited for continuum finite element (CFE) model validation. Such a validated CFE model is shared (.inp) together with the respective buckling analysis files (.inp and .fil). The model represents SPEC-6 by Ricles et al. (2004) and was generated by ABAQUS.
description: Disclaimer: The inelastic panel zone database and aforementioned information was assembled as a service to the research and practice communities in earthquake/structural engineering. EPFL, Nippon Steel Corporation, and the researchers who performed the experiments make no warranties to the accuracy of the information that has been collected, digitized and processed. If you have any questions, comments or suggestions, please contact Prof. Dimitrios Lignos at EPFL.
description: {"references": ["Skiadopoulos, A., and D. G. Lignos. Forthcoming. \"Development of inelastic panel zone database.\" J. Struct. Eng. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002957.", "Skiadopoulos, A., A. Elkady, D. G. Lignos. Forthcoming. \"Proposed panel zone model for seismic design of steel moment-resisting frames.\" J. Struct. Eng. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002935", "Skiadopoulos, A., Elkady, A., Lignos, D. G. (2020). \"Improved panel zone model for seismic design of steel moment-resisting frames.\" Proc. In 17th World Conference of Earthquake Engineering (17WCEE), September, 13-18, 2020, Sendai, Japan"]}
DOI: 10.5281/zenodo.4415593
title: SOTorrent Dataset

description: Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built <em>SOTorrent</em>, an open dataset based on the official SO data dump. <em>SOTorrent </em>provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use <em>SOTorrent </em>to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub. <strong>If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.</strong>
description: The dataset is based on the official Stack Overflow data dump released 2020-12-08 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2021-01-04 and last updated 2020-12-31 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
DOI: 10.5281/zenodo.1135262
title: SOTorrent Dataset

description: Stack Overflow (SO) is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on SO evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on SO evolves, we built <em>SOTorrent</em>, an open dataset based on the official SO data dump. <em>SOTorrent </em>provides access to the version history of SO content at the level of whole posts and individual text or code blocks. It connects SO posts to other platforms by aggregating URLs from text blocks and comments, and by collecting references from GitHub files to SO posts. Our vision is that researchers will use <em>SOTorrent </em>to investigate and understand the evolution of SO posts and their relation to other platforms such as GitHub. <strong>If you use this dataset in your work, please cite our MSR 2018 paper (BibTex) or our MSR 2019 mining challenge proposal.</strong>
description: The dataset is based on the official Stack Overflow data dump released 2020-12-08 (https://archive.org/details/stackexchange) and the Google BigQuery GitHub data set queried 2021-01-04 and last updated 2020-12-31 according to table info (https://cloud.google.com/bigquery/public-data/github). Please read the license files (LICENSE.md) before using the dataset.
DOI: 10.22021/bbldrdfz202012
title: The Linked Open British National Bibliography – Books. 1950/2020-12 – RDF/XML
DOI: 10.22021/bbldntz202012
title: The Linked Open British National Bibliography – Books. 1950/2020-12 – N-Triples
DOI: 10.22021/bsldntz202012
title: The Linked Open British National Bibliography – Serials. 1950/2020-12 – N-Triples
DOI: 10.22021/bsldrdfz202012
title: The Linked Open British National Bibliography – Serials. 1950/2020-12 – RDF/XML
DOI: 10.22021/bcldntz202012
title: The Linked Open British National Bibliography – Forthcoming Books. 2020-12 – N-Triples
DOI: 10.22021/bcldrdfz202012
title: The Linked Open British National Bibliography – Forthcoming Books. 2020-12 – RDF/XML
DOI: 10.5517/ccdc.csd.cc1j6cwz
title: CCDC 1406311: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Gangwar, Ray J. Butcher|2020|J.Organomet.Chem.|932|121626|doi:10.1016/j.jorganchem.2020.121626
DOI: 10.5517/ccdc.csd.cc217wls
title: CCDC 1884415: Experimental Crystal Structure Determination

description: Related Article: Daniele Maiolo, Andrea Pizzi, Alessandro Gori, Lara Gazzera, Nicola Demitri, Alessandro Genoni, Fulvio Baggi, Fabio Moda, Giancarlo Terraneo, Francesca Baldelli Bombelli, Pierangelo Metrangolo, Giuseppe Resnati|2020|ChemistryOpen|9|253|doi:10.1002/open.201900350
DOI: 10.5517/ccdc.csd.cc217wmt
title: CCDC 1884416: Experimental Crystal Structure Determination

description: Related Article: Daniele Maiolo, Andrea Pizzi, Alessandro Gori, Lara Gazzera, Nicola Demitri, Alessandro Genoni, Fulvio Baggi, Fabio Moda, Giancarlo Terraneo, Francesca Baldelli Bombelli, Pierangelo Metrangolo, Giuseppe Resnati|2020|ChemistryOpen|9|253|doi:10.1002/open.201900350
DOI: 10.5517/ccdc.csd.cc141srq
title: CCDC 1044413: Experimental Crystal Structure Determination

description: Related Article: Manoj Kumar Gangwar, Ray J. Butcher|2020|J.Organomet.Chem.|932|121626|doi:10.1016/j.jorganchem.2020.121626
DOI: 10.5517/ccdc.csd.cc240d5r
title: CCDC 1966583: Experimental Crystal Structure Determination

description: Related Article: Liangliang Yao, Bo Fang, Qiong Hu, Yu Lei, Li Bao, Yimin Hu|2020|Chem.Commun.|56|15185|doi:10.1039/D0CC06300B
DOI: 10.5517/ccdc.csd.cc240d7t
title: CCDC 1966585: Experimental Crystal Structure Determination

description: Related Article: Liangliang Yao, Bo Fang, Qiong Hu, Yu Lei, Li Bao, Yimin Hu|2020|Chem.Commun.|56|15185|doi:10.1039/D0CC06300B
DOI: 10.5517/ccdc.csd.cc24tpd2
title: CCDC 1990894: Experimental Crystal Structure Determination

description: Related Article: Kartikey Dhar Dwivedi Kartikey, Marri Sameer Reddy, L. Raju Chowhan|2020|Tetrahedron Lett.|61|152664|doi:10.1016/j.tetlet.2020.152664
DOI: 10.5517/ccdc.csd.cc24v2sw
title: CCDC 1991278: Experimental Crystal Structure Determination

description: Related Article: Moushakhi Ghosh, Prakash Panwaria, Srinu Tothadi, Aloke Das, Shabana Khan|2020|Inorg.Chem.|59|17811|doi:10.1021/acs.inorgchem.0c03098
DOI: 10.5517/ccdc.csd.cc24v2mq
title: CCDC 1991273: Experimental Crystal Structure Determination

description: Related Article: Moushakhi Ghosh, Prakash Panwaria, Srinu Tothadi, Aloke Das, Shabana Khan|2020|Inorg.Chem.|59|17811|doi:10.1021/acs.inorgchem.0c03098
DOI: 10.5517/ccdc.csd.cc24v2lp
title: CCDC 1991272: Experimental Crystal Structure Determination

description: Related Article: Moushakhi Ghosh, Prakash Panwaria, Srinu Tothadi, Aloke Das, Shabana Khan|2020|Inorg.Chem.|59|17811|doi:10.1021/acs.inorgchem.0c03098
DOI: 10.5517/ccdc.csd.cc260vz2
title: CCDC 2026624: Experimental Crystal Structure Determination

description: Related Article: Xiao Yang, Lei Xu, Yuxun Hao, Ruixue Meng, Xingwang Zhang, Lecheng Lei, Chengliang Xiao|2020|Inorg.Chem.|59|17453|doi:10.1021/acs.inorgchem.0c02728
DOI: 10.5517/ccdc.csd.cc267n6b
title: CCDC 2033141: Experimental Crystal Structure Determination

description: Related Article: M. Albino, J. Lhoste, M. Body, C. Legein, A. Hémon-Ribaud, V. Maisonneuve, M. Leblanc|2020|Dalton Trans.|49|17758|doi:10.1039/D0DT03391J
DOI: 10.5281/zenodo.4423403
title: Artemis (DCLRE1C, SNM1C): A Target Enabling Package

description: Currently several radio-sensitising and chemotherapeutic agents are used in conjunction with radiotherapy to enhance the efficacy of cancer treatment. DCLRE1C/Artemis is a major player in both programmed (V(D)J) recombination and non-programmed c-NHEJ DSB repair. This makes Artemis and other DSB repair enzymes an attractive pharmacological target for the radiosensitisation of tumours. This TEP includes expression and purification methods for producing the full-length (aa 1-692), and the catalytic domain (aa 1-362) of Artemis for high-throughput activity and inhibitor assays, and a robust crystallisation method that is able to generate reproducible crystals for small molecule compound soaking. We also present an Artemis structure in complex with the β-lactam anti-bacterial compound ceftriaxone.
description: Future versions of this TEP will contain experimental data on the Artemis TEP.
DOI: 10.15468/hjxydv
title: Hydrographic profiles in South West Atlantic Ocean derived from Southern Elephant seals dives

description: The resource contains 3181 data derived from sensors (Time Depth Recorder) placed on southern elephant seals. Sea temperature, depth and diving location were stored in eMof format as mean, minimum and maximum values. Data were obtained during the marine-pelagic phase of 9 seals tracked between 1995 to 2008, along the SW Atlantic Ocean, covered all seasons. The novelty of this dataset is that being also available as Linked Open Data (LOD) through the SPARQL endpoint http://linkeddata.cenpat-conicet.gob.ar/snorql/. The dataset is a subset of a larger dataset (Records at sea of juveniles southern elephant seals,Mirounga leonina, from Pen?nsula Vald?s, Argentina) http://arobis.cenpat-conicet.gob.ar:8081/resource?r=mleonina_juv
DOI: 10.18430/m37df2
title: X-ray diffraction data for the crystal structure of a C2 domain protein from Ramazzottius varieornatus (7DF2)
DOI: 10.18430/m37jma
title: X-ray diffraction data for the crystal structure of the apo form of Nitrogenase iron-molybdenum cofactor biosynthesis enzyme NifB from Methanothermobacter thermautotrophicus (7JMA)
DOI: 10.18430/m37jmb
title: X-ray diffraction data for the crystal structure of Nitrogenase iron-molybdenum cofactor biosynthesis enzyme NifB from Methanothermobacter thermautotrophicus with three Fe4S4 clusters (7JMB)
DOI: 10.18430/m36ye3
title: X-ray diffraction data for the iL-2 in complex with a Fab fragment from UFKA-20 (6YE3)
DOI: 10.21227/esxx-hx22
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 293,829 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.5281/zenodo.4423586
title: Artemis (DCLRE1C, SNM1C): A Target Enabling Package

description: Currently several radio-sensitising and chemotherapeutic agents are used in conjunction with radiotherapy to enhance the efficacy of cancer treatment. DCLRE1C/Artemis is a major player in both programmed (V(D)J) recombination and non-programmed c-NHEJ DSB repair. This makes Artemis and other DSB repair enzymes an attractive pharmacological target for the radiosensitisation of tumours. This TEP includes expression and purification methods for producing the full-length (aa 1-692), and the catalytic domain (aa 1-362) of Artemis for high-throughput activity and inhibitor assays, and a robust crystallisation method that is able to generate reproducible crystals for small molecule compound soaking. We also present an Artemis structure in complex with the β-lactam anti-bacterial compound ceftriaxone.
description: This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.5281/zenodo.4423402
title: Artemis (DCLRE1C, SNM1C): A Target Enabling Package

description: Currently several radio-sensitising and chemotherapeutic agents are used in conjunction with radiotherapy to enhance the efficacy of cancer treatment. DCLRE1C/Artemis is a major player in both programmed (V(D)J) recombination and non-programmed c-NHEJ DSB repair. This makes Artemis and other DSB repair enzymes an attractive pharmacological target for the radiosensitisation of tumours. This TEP includes expression and purification methods for producing the full-length (aa 1-692), and the catalytic domain (aa 1-362) of Artemis for high-throughput activity and inhibitor assays, and a robust crystallisation method that is able to generate reproducible crystals for small molecule compound soaking. We also present an Artemis structure in complex with the β-lactam anti-bacterial compound ceftriaxone.
description: This document represents version 1 of the TEP datasheet and includes all updates on the project as of November 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.5281/zenodo.4423417
title: Data from: Creating small food-habituated groups might alter genetic diversity in the endangered Yunnan snub-nosed monkey. https://doi.org/10.1016/j.gecco.2020.e01422

description: Ecotourism is increasing worldwide for financial, educational and social purposes. Organized viewing of wildlife, especially at feeding sites where wildlife is “ready-to-view”, increases the opportunities for tourists to observe animals in the wild. However, feeding sites might retain only a subsample of wild populations. We thus hypothesized that such human intervention could induce population subdivisions and alter random mating by artificially creating small groups. The endangered Yunnan snub-nosed monkey (Rhinopithecus bieti) is an emblematic example reflecting the contradictions between conservation and ecotourism. In Gehuaqing/Xiangguqing (Yunnan, China), some individuals are maintained at feeding sites, while the rest of the monkey subpopulation wanders in a large surrounding area. Using faecal sampling and molecular analyses, we showed that this subpopulation is genetically structured into two moderately differentiated subgroups. The fed subgroup exhibited lower genetic diversity and higher relatedness than the rest of the subpopulation. Simulation model results indicated that a single translocation probably would not restore genetic diversity in fed individuals. Thus, feeding sites implementation and associated management practices might rapidly induce founder effects. We discuss the possibilities of conciliating ecotourism and the conservation of endangered animal species from this viewpoint.
description: The table gives the individual sample identity, the subgroup (fed/wild), longitude and latitude, sex, age class of some fed known individuals, and multilocus genotypes for 10 microsatellite loci.
DOI: 10.5281/zenodo.4423416
title: Data from: Creating small food-habituated groups might alter genetic diversity in the endangered Yunnan snub-nosed monkey. https://doi.org/10.1016/j.gecco.2020.e01422

description: Ecotourism is increasing worldwide for financial, educational and social purposes. Organized viewing of wildlife, especially at feeding sites where wildlife is “ready-to-view”, increases the opportunities for tourists to observe animals in the wild. However, feeding sites might retain only a subsample of wild populations. We thus hypothesized that such human intervention could induce population subdivisions and alter random mating by artificially creating small groups. The endangered Yunnan snub-nosed monkey (Rhinopithecus bieti) is an emblematic example reflecting the contradictions between conservation and ecotourism. In Gehuaqing/Xiangguqing (Yunnan, China), some individuals are maintained at feeding sites, while the rest of the monkey subpopulation wanders in a large surrounding area. Using faecal sampling and molecular analyses, we showed that this subpopulation is genetically structured into two moderately differentiated subgroups. The fed subgroup exhibited lower genetic diversity and higher relatedness than the rest of the subpopulation. Simulation model results indicated that a single translocation probably would not restore genetic diversity in fed individuals. Thus, feeding sites implementation and associated management practices might rapidly induce founder effects. We discuss the possibilities of conciliating ecotourism and the conservation of endangered animal species from this viewpoint.
description: The table gives the individual sample identity, the subgroup (fed/wild), longitude and latitude, sex, age class of some fed known individuals, and multilocus genotypes for 10 microsatellite loci.
DOI: 10.6084/m9.figshare.13536764
title: Complete mitochondrial genome sequence of Ganges river dolphin, Platanista gangetica (Roxburgh, 1801) from the river Halda of Bangladesh

description: Fresh sample of skin, liver and muscle tissues were collected from an adult male <i>Platanista gangetica </i>which was found dead from Akbaria point of Halda River under Hathazari upazila (Longitude / Latitude- 22.446661N, 91.861295E) on Thursday, December 5, 2019. Then, transported to the laboratory to preserve at -70° C for further analysis during the period of December 2019. The blood tissue was dissected and stored with 95% ethanol. Later a high molecular weight genomic DNAs was isolated and purified using the AddPrep Genomic DNA extraction kit (AddBio, Korea) for future evaluation of the quality and quantity of the DNA. Purified DNA was sent for library preparation and been sequenced through commercial suppliers.Bio Sample Attributes<br>sample name: HRRL_PG_MT_001 <br>organism:Adult male Platanista gangetica gangetica<br>isolate: HRRL_PG_MT_001 <br>species collection date: 05/12/19<br>DNA collection date: 05/05/2020<br>broad-scale environmental context: N/A<br>local-scale environmental context: N/A<br>environment medium: N/A<br>geographic location: Bangladesh: Chattogram<br>isolation source: Akbaria, Madarsha, Halda River, Hathazari, Chattogram, Bangladesh<br>Longitude latitude: 22.44 N 91.86 E<br>Strain: N/A<br>Sequencing Platform: Illumina instrumental model: NovaSeq 6000<br>