cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3310056301-eng
title: Reasons business or organization does not have plans to start using COVID-19 Rapid Test kits over the next three months, third quarter of 2022

description: Reasons business or organization does not have plans to start using COVID-19 Rapid Test kits over the next three months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310056301-fra
title: Raisons pour lesquelles les entreprises ou les organismes ne prévoient pas de commencer à utiliser des trousses de test de dépistage rapide de la COVID-19 au cours des trois prochains mois, troisième trimestre de 2022

description: Raisons pour lesquelles les entreprises ou les organismes ne prévoient pas de commencer à utiliser des trousses de test de dépistage rapide de la COVID-19 au cours des trois prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310056401-eng
title: Ability for the business or organization to take on more debt, third quarter of 2022

description: Ability of the business or organization to take on more debt, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.25318/3310056401-fra
title: Capacité des entreprises ou organismes à s’endetter davantage, troisième trimestre de 2022

description: Capacité des entreprises ou des organismes à s’endetter davantage, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.25318/3310056501-eng
title: Percentage of workforce anticipated to work on-site or remotely over the next three months, third quarter of 2022

description: Percentage of workforce anticipated to work on-site or remotely over the next three months, by percentage ranges, North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.5281/zenodo.7119256
title: "A Lot Takes Place Digitally Now, so It Can Be Good to Train on It'': A Large-Scale Repeated Cross-Sectional Study on Recording Live-Streamed Educational Activities among Health, Social, and Education Students

description: Research article
DOI: 10.5281/zenodo.7119255
title: "A Lot Takes Place Digitally Now, so It Can Be Good to Train on It'': A Large-Scale Repeated Cross-Sectional Study on Recording Live-Streamed Educational Activities among Health, Social, and Education Students

description: Research article
DOI: 10.25318/3310056501-fra
title: Pourcentage de l’effectif censé travailler sur place ou à distance au cours des trois prochains mois, troisième trimestre de 2022

description: Pourcentage de l’effectif censé travailler sur place ou à distance au cours des trois prochains mois, selon les fourchettes de pourcentage, le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.5281/zenodo.7119390
title: gallinago_undulata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7119389
title: gallinago_undulata_zanfona_1.fasta.gz

description: .
DOI: 10.25318/3310056601-eng
title: Average percentage of workforce anticipated to work on-site or remotely over the next three months, third quarter of 2022

description: Average percentage of workforce anticipated to work on-site or remotely over the next three months, by average percentage, North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.5281/zenodo.6346102
title: Data and Code for "Predicting Harmful Algal Blooms and Impacts on Shellfish Mariculture using Data-Driven Approaches"

description: This is a zipped file of all associated code and data for the submitted paper entitled "Predicting Harmful Algal Blooms and Impacts on Shellfish Mariculture using Data-Driven Approaches".
DOI: 10.5281/zenodo.6346101
title: Data and Code for "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach"

description: This is a zipped file of all associated code and data for the submitted paper entitled "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach".
DOI: 10.5281/zenodo.7119036
title: Data and Code for "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach"

description: This is a zipped file of all associated code and data for the submitted paper entitled "Quantifying spatio-temporal risk of Harmful Algal Blooms and their impacts on bivalve shellfish mariculture using a data-driven modelling approach".
DOI: 10.25318/3310056601-fra
title: Pourcentage moyen de l’effectif censé travailler sur place ou à distance au cours des trois prochains mois, troisième trimestre de 2022

description: Pourcentage moyen de l’effectif censé travailler sur place ou à distance au cours des trois prochains mois, selon le pourcentage moyen, le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.6084/m9.figshare.21221294
title: Metadata/README

description: Metadata
DOI: 10.6084/m9.figshare.21221294.v1
title: Metadata/README

description: Metadata
DOI: 10.5281/zenodo.7113146
title: Data Set "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion"

description: This data set accompanies the publication "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion" It contains: - xyz files of all considered molecular structures. - PyADF input scripts for running the eb-MBE and db-MBE calculations. - raw results data from the eb-MBE and db-MBE calculations - Jupyter notebooks for generating the plots and tables
DOI: 10.5281/zenodo.7113145
title: Data Set "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion"

description: This data set accompanies the publication "Accurate quantum-chemical fragmentation calculations for ion–water clusters with the density-based many-body expansion" It contains: - xyz files of all considered molecular structures. - PyADF input scripts for running the eb-MBE and db-MBE calculations. - raw results data from the eb-MBE and db-MBE calculations - Jupyter notebooks for generating the plots and tables
DOI: 10.6084/m9.figshare.20145605.v4
title: Comparative efficacy of additives for the mitigation of aflatoxins in animal feed: a systematic review and network meta-analysis

description: File contains the raw data extracted from studies/trials that were used for network meta-analysis
DOI: 10.6084/m9.figshare.21221288
title: Data file

description: Full dataset
DOI: 10.25318/3310056701-eng
title: Future outlook over the next 12 months, third quarter of 2022

description: Future outlook over the next 12 months, third quarter of 2022, by percentage ranges, North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, third quarter of 2022.
DOI: 10.5281/zenodo.7118990
title: pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project

description: Digital scores from the Polish Music Heritage in Open Access project This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the Chopin Institute in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive. Frontend The main user interface for these digital scores is at https://polishscores.org/. All transcriptions include scans of the physical scores. Staff: <strong>Lead</strong>: Marcin Konik <strong>Technical Lead</strong>: Craig Stuart Sapp <strong>Project Manager</strong>: Jacek Iwaszko <strong>Metadata Manager: </strong>Marcelina Chojecka <strong>Assistant Project Manager</strong>: Emilia Ziętek Data created within EU funded project "Polish Music Heritage in Open Access" Co-financed by the Ministry of Culture and National Heritage Archives represented in repository Siglum Library Scores pl-cz Jasna Góra Monastery 1294 pl-gd Gdańsk Library PAoS 244 pl-kc Czartoryski Library, Cracow 108 pl-kj Jagiellonian Library, Cracow 29 pl-kk Wawel Cathedral, Cracow 1720 pl-kozmzk Zamoyski Museum, Kozłówka 168 pl-sa Diocesan Library, Sandomierz 1244 pl-stab St. Adalbert Abbey, Staniątki 154 pl-wn Polish National Library 496 pl-wnifc Chopin Institute, Warsaw 390 pl-wtm Warsaw Music Society 1163 pl-wumfc Chopin University of Music 151
DOI: 10.5281/zenodo.7118989
title: pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project

description: Digital scores from the Polish Music Heritage in Open Access project This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the Chopin Institute in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive. Frontend The main user interface for these digital scores is at https://polishscores.org/. All transcriptions include scans of the physical scores. Staff: <strong>Lead</strong>: Marcin Konik <strong>Technical Lead</strong>: Craig Stuart Sapp <strong>Project Manager</strong>: Jacek Iwaszko <strong>Metadata Manager: </strong>Marcelina Chojecka <strong>Assistant Project Manager</strong>: Emilia Ziętek Data created within EU funded project "Polish Music Heritage in Open Access" Co-financed by the Ministry of Culture and National Heritage Archives represented in repository Siglum Library Scores pl-cz Jasna Góra Monastery 1294 pl-gd Gdańsk Library PAoS 244 pl-kc Czartoryski Library, Cracow 108 pl-kj Jagiellonian Library, Cracow 29 pl-kk Wawel Cathedral, Cracow 1720 pl-kozmzk Zamoyski Museum, Kozłówka 168 pl-sa Diocesan Library, Sandomierz 1244 pl-stab St. Adalbert Abbey, Staniątki 154 pl-wn Polish National Library 496 pl-wnifc Chopin Institute, Warsaw 390 pl-wtm Warsaw Music Society 1163 pl-wumfc Chopin University of Music 151
DOI: 10.25318/3310056701-fra
title: Perspectives d’avenir au cours des 12 prochains mois, troisième trimestre de 2022

description: Perspectives d’avenir au cours des 12 prochains mois, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, troisième trimestre de 2022.
DOI: 10.34740/kaggle/dsv/4260104
title: 2021 World Population (updated daily)
DOI: 10.5258/soton/d2028
title: Dataset to support the publication 'Intelligent Caching in UAV-Aided Networks'
DOI: 10.6084/m9.figshare.21221036.v1
title: Evaluating the Accuracy of a Novel Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study: Vignette Suite and Screenshots

description: Evaluating the Accuracy of a Novel Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study: Vignette Suite and Screenshots
DOI: 10.20387/bonares-dg82-1x07
title: Raw data of the copy numbers of the 16S rRNA gene and the ITS regions as a proxy for bacterial and fungal abundance and the mass loss of maize leaf litter in a 6-week incubation study using an agricultural soil from the LTFE Scheyern, and links to the 16S

description: Plant litter decomposition is an important process to restore carbon and other nutrients in soil. A large variety of bacterial species are involved in early phases of the litter decomposition. However, the impact of reduced soil and leaf bacterial diversity on the initial litter decomposition process is poorly understood. Thus, we performed a litter decomposition experiment under controlled conditions. We compared maize leaf litter decomposition rates in soils with different levels of bacterial diversity, prepared from one natural soil (NS) by manipulating its bacterial diversity. Autoclaving and reinoculation with an extract of microbes from NS eliminated parts of the “rare biosphere”. This approach substantially reduced bacterial diversity in autoclaved soil (AS) and inoculated soil (IS) compared to NS, while no significant differences in bacterial abundance were determined among the soil treatments after a preincubation period (Week −2 to 0). Natural and autoclaved maize leaves were applied to the soil treatments and incubated for 6 weeks. Bacterial diversity and community composition were assessed on Week −2, 0, and 6 using 16S rRNA gene metabarcoding. Bacterial and fungal abundance were assessed based on the copy number of the 16S rRNA gene and the ITS regions. Litter decomposition rates were assessed by calculating the quotient of remaining and initial litter amounts (dry weight basis). Due to the very small amount of litter materials left in litterbags on week 6, further molecular analysis was performed only on the maize samples collected on week 0. Our data suggested a positive correlation between litter decomposition rates and soil bacterial diversity. The soil with the highest bacterial diversity was dominated by oligotrophic bacteria including Acidobacteria, Nitrospiraceae, and Gaiellaceae, and its community composition did not change during the incubation. In the less diverse soils, oligotrophic bacteria were absent, but were replaced by copiotrophic bacteria such as Caulobacteraceae and Beijerinckiaceae, until the end of the incubation period. SourceTracker analysis revealed that litter-associated bacteria such as Beijerinckiaceae only became part of the bacterial communities in the less diverse soils. This suggests a pivotal role of oligotrophic bacteria during the early phases of litter decomposition and the predominance of copiotrophic bacteria at low diversity. The raw sequencing data are available at the sequencing read archive (SRA) under the BioProject PRJNA427490. Data are published in Chiba, A., Uchida, Y., Kublik, S., Vestergaard, G., Buegger, F., Schloter, M., and Schulz, S.: Soil bacterial diversity is positively correlated with decomposition rates during early phases of maize litter decomposition, Microorganisms 2021, 9(2), 357; https://doi.org/10.3390/microorganisms9020357
DOI: 10.15784/601611
title: Antarctic Seawater d18O isotope data from SE Amundsen Sea: 2000, 2007, 2009, 2019, 2020

description: Seawater d18O and hydrographic data (temperature, salinity, oxygen where available) for 5 cruises to the Amundsen Sea in 2000, 2007, 2009, 2019, 2020
DOI: 10.6084/m9.figshare.21221006.v1
title: Evaluating the Accuracy of a Novel Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study : results document

description: Evaluating the Accuracy of a Novel Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study - results document
DOI: 10.6084/m9.figshare.21220931
title: 0928-merge_data.dta

description: <em>This is a dataset about RCA, density, LPI, and other control variables.</em>
DOI: 10.6084/m9.figshare.21220931.v1
title: 0928-merge_data.dta

description: <em>This is a dataset about RCA, density, LPI, and other control variables.</em>
DOI: 10.6084/m9.figshare.21220931.v2
title: 0928-merge_data.dta

description: <em>This is a dataset about RCA, density, LPI, and other control variables.</em>
DOI: 10.6084/m9.figshare.21130297
title: Face processing M/EEG data for Dynamic Causal Modelling

description: This dataset consists of BIDS-formatted M/EEG data from Wakeman & Henson (2015) that have been processed for DCM analysis. Multimodal data from EEG, MEG magnetometers and MEG planar gradiometers from all 16 subjects have been processed with the analysis pipeline presented in Henson et al (2019). Individual subjects' T1 images were used for creating head models. Forward models (leadfields) for all subjects are included in the dataset. <br> The file 'derivatives_dcm_ready_with_gainmat_all_subjects.zip' consists of dcm-ready data for all 16 subjects, while the file 'derivatives_dcm_ready_with_gainmat_single_subjects.zip' consists of dcm-ready data for a single subject (sub-01). <br> Each subject's data consists of 3 files: SPM sidecar data file: maMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.dat SPM data header file: maMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg.mat Gain matrix (forward model): SPMgainmatrix_maMceffdspmeeg_sub-XX_ses-meg_task-facerecognition_run-01_proc-sss_meg_1.mat *XX here indicates zero-padded subject number (01, 02, ...). Supplied filelist.txt contains the full filelist and folder hierarchy inside the compressed zip archive. <br> This dataset was prepared for demonstration of group-level estimation and inference of DCMs from M/EEG data. The raw data can be found here: https://openneuro.org/datasets/ds000117 <br> Scripts used to produce this dataset from the raw data, as well as as scripts demonstrating group DCM analysis can be found here: https://github.com/pranaysy/DCM-MEEG-Demo <br> For more information or queries, please get in touch, or open an issue on the GitHub repository linked above.
DOI: 10.57906/g2yz-b744
title: Research into the Barriers to Take-Up and Use of Business Support - England
DOI: 10.5281/zenodo.7105957
title: Anonymous Submission for ICLR2022

description: This is a repository for suplementary material submitted anonymously.
DOI: 10.5281/zenodo.7105956
title: Anonymous Submission for ICLR2022

description: This is a repository for suplementary material submitted anonymously.
DOI: 10.25430/researchdata.cab.unipd.it.00000714
title: Dynamic testing for differential diagnosis of ACTH-dependent Cushing Syndrome: a systematic review and meta-analysis

description: Objective Diagnostic accuracy of testing currently used for differential diagnosis of Cushing’s disease (CD) vs ectopic adrenocorticotropic hormone (ACTH) secretion (EAS) is difficult to interpret. The present study aimed to identify and evaluate diagnostic accuracy of corticotropin-releasing hormone (CRH) test, desmopressin test, and high-dose dexamethasone suppression test (HDDST) when used to establish a CD or EAS diagnosis. Design This study is a systematic review of the literature and meta-analysis. Methods MEDLINE, OVID, and Web of Science databases were searched for articles published between the years 1990-2021. Articles included described at least one test(s) (CRH, desmopressin, or HDDST) and diagnostic reference standard(s) (histopathology, petrosal sinus sampling, surgical remission, imaging, and long-term follow-up) to establish a CD or EAS diagnosis. Results Sixty-two studies were included: 43 reported use of HDDST, 32 CRH test, and 21 desmopressin test. After analysis a CRH test was found to have the highest sensitivity in detecting CD (ACTH 86.9%, 95% confidence interval [CI] 82.1-90.6, cortisol 86.2%, 95%CI 78.3-91.5) and the highest specificity in detecting EAS (ACTH 93.9%, 95%CI 87-98.3, cortisol 89.4%, 95%CI 82.8-93.7). This resulted in a high diagnostic odds ratio (58, 95%CI 43.25-77.47), large area under the curve, and a receiver-operating characteristic (ROC) of 0.934. The diagnostic accuracy of HDDST and desmopressin test(s) was lower than that of the CRH test. Conclusion The meta-analysis indicates that a patient with a positive ACTH response after a CRH test is highly likely to have CD. Further studies analysing role of dynamic testing in addition to imaging are needed.
DOI: 10.5281/zenodo.7105908
title: Anonymous submission for ICLR 2022

description: This is a an anonymous submission.
DOI: 10.5281/zenodo.7105907
title: Anonymous submission for ICLR 2022

description: This is a an anonymous submission.
DOI: 10.34740/kaggle/dsv/4260260
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7119795
title: Bi ring data

description: Switching current statistics
DOI: 10.5281/zenodo.7119794
title: Bi ring data

description: Switching current statistics
DOI: 10.5281/zenodo.7119900
title: NT-Dataset S1

description: This is a supplementary dataset cited by the manuscript 'Defining composition and function of the rhizosphere microbiota of barley genotypes exposed to growth-limiting nitrogen supplies' and depicts the results of the analysis of individual GO-terms identified on the top 10 clusters differentiating between samples and arranged as individual spreadsheets. For each cluster we determined the significance of individual terms in pair-wise comparisons between bulk soil and rhizosphere samples and, within the latter, between genotypes (Wald test, Individual P values &lt;0.05, FDR corrected).
DOI: 10.5281/zenodo.7119899
title: NT-Dataset S1

description: This is a supplementary dataset cited by the manuscript 'Defining composition and function of the rhizosphere microbiota of barley genotypes exposed to growth-limiting nitrogen supplies' and depicts the results of the analysis of individual GO-terms identified on the top 10 clusters differentiating between samples and arranged as individual spreadsheets. For each cluster we determined the significance of individual terms in pair-wise comparisons between bulk soil and rhizosphere samples and, within the latter, between genotypes (Wald test, Individual P values &lt;0.05, FDR corrected).
DOI: 10.5517/ccdc.csd.cc257k44
title: CCDC 2003255: Experimental Crystal Structure Determination

description: Related Article: Nai-Chen Hsueh, Meng-Yang Chang|2022|Org.Biomol.Chem.|20|7503|doi:10.1039/D2OB01459A
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.cc257k55
title: CCDC 2003256: Experimental Crystal Structure Determination

description: Related Article: Nai-Chen Hsueh, Meng-Yang Chang|2022|Org.Biomol.Chem.|20|7503|doi:10.1039/D2OB01459A
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.cc257k66
title: CCDC 2003257: Experimental Crystal Structure Determination

description: Related Article: Nai-Chen Hsueh, Meng-Yang Chang|2022|Org.Biomol.Chem.|20|7503|doi:10.1039/D2OB01459A
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.cc257k77
title: CCDC 2003258: Experimental Crystal Structure Determination

description: Related Article: Nai-Chen Hsueh, Meng-Yang Chang|2022|Org.Biomol.Chem.|20|7503|doi:10.1039/D2OB01459A
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.