cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2brhby
title: CCDC 2167530: Experimental Crystal Structure Determination

description: Related Article: Quentin Gaydon, David Scott Bohle|2022|Inorg.Chem.|61|15359|doi:10.1021/acs.inorgchem.2c01692
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.cc2cg163
title: CCDC 2188234: Experimental Crystal Structure Determination

description: Related Article: Peicheng Yang, Yan-Yu Li, Hailong Tian, Gan-Lu Qian, Yun Wang, Xin Hong, Jinghan Gui|2022|J.Am.Chem.Soc.|144|17769|doi:10.1021/jacs.2c07944
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.cc2cg174
title: CCDC 2188235: Experimental Crystal Structure Determination

description: Related Article: Peicheng Yang, Yan-Yu Li, Hailong Tian, Gan-Lu Qian, Yun Wang, Xin Hong, Jinghan Gui|2022|J.Am.Chem.Soc.|144|17769|doi:10.1021/jacs.2c07944
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: 10.5281/zenodo.7147832
title: Antibiotic tolerance indicative for persistence is pervasive among clinical Streptococcus pneumoniae isolates and shows strong condition dependence - dataset

description: The dataset is linked to the article entitled 'Antibiotic tolerance indicative for persistence is pervasive among clinical <em>Streptococcus pneumoniae</em> isolates and shows strong condition dependence' with following abstract. <em>Streptococcus pneumoniae</em> is an important human pathogen, being one of the most common causes of community-acquired pneumonia and otitis media. Antibiotic resistance in <em>S. pneumoniae</em> is an emerging problem as it depletes our arsenal of effective drugs. In addition, persistence also contributes to the antibiotic crisis in many other pathogens, yet, in <em>S. pneumonia</em>e little is known about antibiotic-tolerant persisters and robust experimental means are lacking. Persister cells are phenotypic variants that exist as a subpopulation within a clonal culture. Being tolerant to lethal antibiotics, they underly the chronic nature of a variety of infections and even help in acquiring genetic resistance. Here, we set out to identify and characterize persistence in <em>S. pneumoniae. </em>Specifically, we followed different strategies to overcome the self-limiting nature of<em> S. pneumoniae </em>as confounding factor in the prolonged monitoring of antibiotic survival needed to study persistence. In optimized conditions, we identified genuine persisters in various growth phases and for four relevant antibiotics through biphasic survival dynamics and heritability assays. Finally, we detected a high variety in antibiotic survival levels across a diverse collection of <em>S. pneumoniae</em> clinical isolates, which assumes that a high natural diversity in persistence is widely present in <em>S. pneumoniae</em>. Collectively, this proof-of-concept significantly progresses the understanding of the importance of antibiotic persistence in<em> S. pneumoniae</em> infections which will set stage for characterizing its relevance to clinical outcomes and advocates for increased attention to the phenotype in both fundamental and clinical research.
DOI: 10.5281/zenodo.7147831
title: Antibiotic tolerance indicative for persistence is pervasive among clinical Streptococcus pneumoniae isolates and shows strong condition dependence - dataset

description: The dataset is linked to the article entitled 'Antibiotic tolerance indicative for persistence is pervasive among clinical <em>Streptococcus pneumoniae</em> isolates and shows strong condition dependence' with following abstract. <em>Streptococcus pneumoniae</em> is an important human pathogen, being one of the most common causes of community-acquired pneumonia and otitis media. Antibiotic resistance in <em>S. pneumoniae</em> is an emerging problem as it depletes our arsenal of effective drugs. In addition, persistence also contributes to the antibiotic crisis in many other pathogens, yet, in <em>S. pneumonia</em>e little is known about antibiotic-tolerant persisters and robust experimental means are lacking. Persister cells are phenotypic variants that exist as a subpopulation within a clonal culture. Being tolerant to lethal antibiotics, they underly the chronic nature of a variety of infections and even help in acquiring genetic resistance. Here, we set out to identify and characterize persistence in <em>S. pneumoniae. </em>Specifically, we followed different strategies to overcome the self-limiting nature of<em> S. pneumoniae </em>as confounding factor in the prolonged monitoring of antibiotic survival needed to study persistence. In optimized conditions, we identified genuine persisters in various growth phases and for four relevant antibiotics through biphasic survival dynamics and heritability assays. Finally, we detected a high variety in antibiotic survival levels across a diverse collection of <em>S. pneumoniae</em> clinical isolates, which assumes that a high natural diversity in persistence is widely present in <em>S. pneumoniae</em>. Collectively, this proof-of-concept significantly progresses the understanding of the importance of antibiotic persistence in<em> S. pneumoniae</em> infections which will set stage for characterizing its relevance to clinical outcomes and advocates for increased attention to the phenotype in both fundamental and clinical research.
DOI: 10.20372/aau_rdr/uq5p0h/9ig5xz
title: FAR-Interview quations response.pdf

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h/6kbpz8
title: FAR-Interview questions Respnse.pdf

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h/qzustp
title: Raw data-EIC.docx

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h/tbtlxw
title: Raw Data-MoTI.tab

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h/ep003j
title: PI- Questionnaires Response.pdf

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h/wg7an4
title: TE- Interview questions Reponse.pdf

description: :unav
DOI: 10.20372/aau_rdr/uq5p0h
title: Motivation and Challenges of Middle East Investment in the Ethiopian Tourism Sector

description: The data is a quantitative and qualitative data about investments on tourism by Investors from Middle East
DOI: 10.5281/zenodo.7152013
title: JAG Bias Corrected SPP

description: This dataset belongs to the paper: Comparison of Bias-Corrected MultiSatellite Precipitation Products by Deep Learning Framework Daily dataset from 01/01/2016 to 12/2019
DOI: 10.5281/zenodo.7152012
title: JAG Bias Corrected SPP

description: This dataset belongs to the paper: Comparison of Bias-Corrected MultiSatellite Precipitation Products by Deep Learning Framework Daily dataset from 01/01/2016 to 12/2019
DOI: 10.21227/p0vw-1063
title: European Commission Rapid Alert System for Food and Feed Salmonella Data

description: The provided dataset is created is created by using European Commission Rapid Alert System's data for Salmonella cases. The dataset composed by 5 variables and all data is providet in categorical format. it is possible to use the dataset predict the salmonella cases based on type of food, month, country and warmth.
DOI: 10.5281/zenodo.6523365
title: InSecTT BLE Channel Sniff Dataset

description: This dataset provides Bluetooth Low Energy (BLE) measurements where a single BLE channel is observed with a Software Defined Radio (SDR) in close proximity to several BLE devices. Since BLE uses channel hopping, not every message is detected if only a single channel is observed. In general, we do not know the access address, the connection interval, or the hopping pattern of the connections [1]. This measurement set provides raw filtered and GFSK demodulated I/Q samples of the received BLE messages, as well as the already extracted measurements for the observed BLE connections including the header and measured timestamp. For each measurement set, we provide metadata with information about the BLE devices that are part of the setup. In BLE there are currently two different channel hop algorithms used [1]. The first one is the Channel Selection Algorithm 1 (CSA1), which was released with the first BLE specification, and the second is the Channel Selection Algorithm 2 (CSA2) which was implemented with the BLE version 5.0. This dataset provides measurements with BLE devices using both algorithms placed near the sniffer. The goal is to show that even though channel hopping is used, it is possible to reconstruct certain communication parameters and predict future channel access of the BLE connections by only passively listening to the channel. This dataset is a work from Silicon Austria Labs GmbH (SAL) and the Institute for Communications Engineering and RF-Systems (NTHFS) of the Johannes Kepler University (JKU) in Linz for the InSecTT project.
DOI: 10.5281/zenodo.6523364
title: InSecTT BLE Channel Sniff Dataset

description: This dataset provides Bluetooth Low Energy (BLE) measurements for a single BLE channel, observed with a Software Defined Radio (SDR) in close proximity to several BLE devices. Since BLE uses channel hopping, not every message is detected if only a single channel is observed. In general, we do not know the access address, the connection interval, or the hopping pattern of the connections [1]. This measurement set provides the raw bitstream of the received BLE messages, as well as the already extracted measurements of the BLE connections including the header and measured timestamp. For each measurement set, we provide metadata with information about the BLE devices that are part of the setup. In BLE there are currently two different channel hop algorithms used [1]. The first one is the Channel Selection Algorithm 1 (CSA1), which was released with the first BLE specification, and the second is the Channel Selection Algorithm 2 (CSA2) which was implemented with the BLE version 5.0. This dataset provides measurements with BLE devices using both algorithms. The intention of this dataset, is to show that even though channel hopping is used, it is possible to reconstruct certain communication parameters and predict future channel access of the BLE connections by only passively listening to the channel. This dataset is a work from Silicon Austria Labs GmbH (SAL) and the Institute for Communications Engineering and RF-Systems (NTHFS) of the Johannes Kepler University (JKU) in Linz for the InSecTT project.
DOI: 10.5281/zenodo.7152044
title: InSecTT BLE Channel Sniff Dataset

description: This dataset provides Bluetooth Low Energy (BLE) measurements for a single BLE channel, observed with a Software Defined Radio (SDR) in close proximity to several BLE devices. Since BLE uses channel hopping, not every message is detected if only a single channel is observed. In general, we do not know the access address, the connection interval, or the hopping pattern of the connections [1]. This measurement set provides the raw bitstream of the received BLE messages, as well as the already extracted measurements of the BLE connections including the header and measured timestamp. For each measurement set, we provide metadata with information about the BLE devices that are part of the setup. In BLE there are currently two different channel hop algorithms used [1]. The first one is the Channel Selection Algorithm 1 (CSA1), which was released with the first BLE specification, and the second is the Channel Selection Algorithm 2 (CSA2) which was implemented with the BLE version 5.0. This dataset provides measurements with BLE devices using both algorithms. The intention of this dataset, is to show that even though channel hopping is used, it is possible to reconstruct certain communication parameters and predict future channel access of the BLE connections by only passively listening to the channel. This dataset is a work from Silicon Austria Labs GmbH (SAL) and the Institute for Communications Engineering and RF-Systems (NTHFS) of the Johannes Kepler University (JKU) in Linz for the InSecTT project.
DOI: 10.5281/zenodo.7152029
title: Evaluation of background ionizing radiation dose variation in Bucharest city area, 2022

description: Measurements of background ionizing radiation dose rate, done in Bucharest city area in 2022, by the student Damalan Daria Liana under supervision of prof. Adrian Iftime as part of a diploma thesis project. A graphical overview of the values is included (bucharest_values_2022.png).
DOI: 10.5281/zenodo.7152028
title: Evaluation of background ionizing radiation dose variation in Bucharest city area, 2022

description: Measurements of background ionizing radiation dose rate, done in Bucharest city area in 2022, by the student Damalan Daria Liana under supervision of prof. Adrian Iftime as part of a diploma thesis project. A graphical overview of the values is included (bucharest_values_2022.png).
DOI: 10.5281/zenodo.7152041
title: Internet Search Data on Precocious Puberty 2017 to 2021

description: We assessed in Google Trends searches for 21 precocious puberty (PP)-related terms in English internationally, in the years 2017-2021. Additionally, we assessed local searches for selected terms, in English and local languages, in countries where a rise in PP has been reported. Searches were collected in Relative Search Volumes format.
DOI: 10.5281/zenodo.7152040
title: Internet Search Data on Precocious Puberty 2017 to 2021

description: We assessed in Google Trends searches for 21 precocious puberty (PP)-related terms in English internationally, in the years 2017-2021. Additionally, we assessed local searches for selected terms, in English and local languages, in countries where a rise in PP has been reported. Searches were collected in Relative Search Volumes format.
DOI: 10.6084/m9.figshare.20077217
title: Complementary effects of above- and belowground biodiversity on ecosystem functions in a microcosm study

description: Data set from the study "Complementary effects of above- and belowground biodiversity on ecosystem functions across global grasslands". The data set referred here is from the microcosm study only. Methodology can be found in the manuscript. The data set is in excel format with multiple spreadsheets: metadata and microcosm data used in the analysis presented in the manuscript.
DOI: 10.17028/rd.lboro.21207842
title: The Kinesemiotic Body

description: Experimental data in BHV (Biovision hierarchical data) format. The data collected relates to experiments with ballet dancers using Noitom Perception Neuron IMU based sensor suits. Data annotations in ELAN file with specifically created CV based on the Functional Grammar of Dance. The experiments were conducted with professional ballet dancers from the English National Ballet at their main premises in London. The experiments were carried out as part of the international collaborative research project "The Kinesemiotic Body: a pragmatic account of the local discourse organisation of dance" funded by the AHRC in the UK and the DFG in Germany. The annotations are made on some of the data collected during the experiments.
DOI: 10.17028/rd.lboro.21207842.v2
title: The Kinesemiotic Body

description: Experimental data in BHV (Biovision hierarchical data) format. The data collected relates to experiments with ballet dancers using Noitom Perception Neuron IMU based sensor suits. Data annotations in ELAN file with specifically created CV based on the Functional Grammar of Dance. The experiments were conducted with professional ballet dancers from the English National Ballet at their main premises in London. The experiments were carried out as part of the international collaborative research project "The Kinesemiotic Body: a pragmatic account of the local discourse organisation of dance" funded by the AHRC in the UK and the DFG in Germany. The annotations are made on some of the data collected during the experiments.
DOI: 10.17028/rd.lboro.21207842.v1
title: The Kinesemiotic Body

description: Experimental data in BHV (Biovision hierarchical data) format. The data collected relates to experiments with ballet dancers using Noitom Perception Neuron IMU based sensor suits. Data annotations in ELAN file with specifically created CV based on the Functional Grammar of Dance. The experiments were conducted with professional ballet dancers from the English National Ballet at their main premises in London. The experiments were carried out as part of the international collaborative research project "The Kinesemiotic Body: a pragmatic account of the local discourse organisation of dance" funded by the AHRC in the UK and the DFG in Germany. The annotations are made on some of the data collected during the experiments.
DOI: 10.5281/zenodo.6631694
title: Demo Data clin.iobio

description: Clin.iobio - Workflow and reporting for iobio variant analysis pipeline, funded by NIH R01 HG009712. Code: https://github.com/iobio/clin.iobio Ward A, Velinder M, Di Sera T, Ekawade A, Malone Jenkins S, Moore B, Mao R, Bayrak-Toydemir P, Marth G. <em>Clin.iobio</em>: A Collaborative Diagnostic Workflow to Enable Team-Based Precision Genomics. <em>Journal of Personalized Medicine</em>. 2022; 12(1):73. https://doi.org/10.3390/jpm12010073
DOI: 10.5281/zenodo.6631693
title: Demo Data clin.iobio

description: Clin.iobio - Workflow and reporting for iobio variant analysis pipeline, funded by NIH R01 HG009712. Code: https://github.com/iobio/clin.iobio Ward A, Velinder M, Di Sera T, Ekawade A, Malone Jenkins S, Moore B, Mao R, Bayrak-Toydemir P, Marth G. <em>Clin.iobio</em>: A Collaborative Diagnostic Workflow to Enable Team-Based Precision Genomics. <em>Journal of Personalized Medicine</em>. 2022; 12(1):73. https://doi.org/10.3390/jpm12010073
DOI: 10.5281/zenodo.7152117
title: Demo Data clin.iobio

description: Clin.iobio - Workflow and reporting for iobio variant analysis pipeline, funded by NIH R01 HG009712. Code: https://github.com/iobio/clin.iobio Ward A, Velinder M, Di Sera T, Ekawade A, Malone Jenkins S, Moore B, Mao R, Bayrak-Toydemir P, Marth G. <em>Clin.iobio</em>: A Collaborative Diagnostic Workflow to Enable Team-Based Precision Genomics. <em>Journal of Personalized Medicine</em>. 2022; 12(1):73. https://doi.org/10.3390/jpm12010073
DOI: 10.14457/tu.the.2020.1342
title: บทบาทขององค์การระหว่างประเทศต่อการกำหนดนโยบายด้านยาเสพติดของประเทศไทย

description: การศึกษาเรื่อง บทบาทขององค์การระหว่างประเทศต่อการกำหนดนโยบายด้านยาเสพติดของประเทศไทย มีวัตถุประสงค์เพื่อ 1) เพื่อศึกษาถึงนโยบายด้านการป้องกันและปราบปรามยาเสพติดในประเทศไทย 2) เพื่อศึกษาถึงตัวแสดงและบทบาทของตัวแสดงในการกำหนดนโยบายด้านการป้องกันและปราบปรามยาเสพติดในประเทศไทย 3) เพื่อเสนอแนะนโยบายด้านการป้องกันและปราบปรามยาเสพติดของประเทศไทยที่เหมาะสม โดยใช้วิธีการศึกษาในรูปแบบการวิจัยเชิงคุณภาพ (qualitative research) และเก็บรวบรวมข้อมูลปฐมภูมิเป็นหลัก ประกอบกับเครื่องมือที่ใช้ในการศึกษาคือการสัมภาษณ์บุคลากรสำนักงาน ป.ป.ส. จำนวน 7 คน ผลการศึกษาพบว่าผู้มีบทบาทในการกำหนดนโยบายด้านการป้องกันและปราบปรามยาเสพติดของประเทศไทยในอดีตคือกรมสาธารณสุข กระทรวงมหาดไทย และกระทรวงสาธารณสุขที่ก่อตั้งในภายหลัง ในฐานะที่เป็นตัวแสดงปัจจัยภายในประเทศ (Internal Factors) และในปัจจุบันคือสำนักงาน ป.ป.ส. ซึ่งถือเป็นปัจจัยภายในประเทศ (Internal Factors) ซึ่งทำงานบูรณาการร่วมกับตัวแสดงที่เป็นปัจจัยภายนอก (External Factors) คือองค์การระหว่างประเทศที่ประเทศไทยได้เข้าไปเป็นสมาชิกภาคี ซึ่งมีบทบาทสำคัญในการกำหนดนโยบายด้านยาเสพติดในประเทศไทยผ่านกลไกความร่วมมือและผลมติการประชุมด้านยาเสพติดระดับโลก นอกจากนี้ แนวทางที่ประเทศไทยควรดำเนินนโยบายด้านการป้องกันและปราบปรามยาเสพติดคือนโยบายลดความผิดทางอาญาของยาเสพติดลง (Decriminalization) ควบคู่กับนโยบายลดอันตรายจากการเสพยาเสพติด (Harm reduction)
DOI: 10.5281/zenodo.7152133
title: Evaluation of background ionizing radiation dose variation in Ploiesti city area, 2022

description: Measurements of background ionizing radiation dose rate, done in Ploiesti city area in 2022 (Romania), by the student Tripac Flavius Gabriel under supervision of Prof. Dr. Adrian Iftime as part of a diploma thesis project (C.Davila University of Medicine and Pharmacy). A graphical overview of the values is included (ploiesti_values_2022.png). <br>
DOI: 10.5281/zenodo.7152132
title: Evaluation of background ionizing radiation dose variation in Ploiesti city area, 2022

description: Measurements of background ionizing radiation dose rate, done in Ploiesti city area in 2022 (Romania), by the student Tripac Flavius Gabriel under supervision of Prof. Dr. Adrian Iftime as part of a diploma thesis project (C.Davila University of Medicine and Pharmacy). A graphical overview of the values is included (ploiesti_values_2022.png). <br>
DOI: 10.26050/wdcc/c6scmawawm
title: CMIP6_supplemental CMIP AWI AWI-CM-1-1-MR

description: Project: CMIP6 Supplemental Data - The project is aligned to the CMIP6 project. It includes datasets of variables, which result from CMIP6 MIPs, but are not part of the CMIP6 MIP tables. Summary: These data include supplemental datasets for 'CMIP6.CMIP.AWI.AWI-CM-1-1-MR' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The AWI-CM 1.1 MR climate model, released in 2018, includes the following components: atmos: ECHAM6.3.04p1 (T127L95 native atmosphere T127 gaussian grid; 384 x 192 longitude/latitude; 95 levels; top level 80 km), land: JSBACH 3.20, ocean: FESOM 1.4 (unstructured grid in the horizontal with 830305 wet nodes; 46 levels; top grid cell 0-5 m), seaIce: FESOM 1.4. The model was run by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany (AWI) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 km. Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.
DOI: 10.17632/5rz28jr8gc.2
title: Boehm et al. (A dopamine-gated learning circuit underpins reproductive state-dependent odor preference in Drosophila females)

description: The original data for Boehm et al. are provided as an excel file.