cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7444795
title: DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

description: Growing concerns about increasing rates of antibiotic resistance call for expanded and comprehensive global monitoring. Advancing methods for monitoring of environmental media (e.g., wastewater, agricultural waste, food, and water) is especially needed for identifying potential resources of novel antibiotic resistance genes (ARGs), hot spots for gene exchange, and as pathways for the spread of ARGs and human exposure. Next-generation sequencing now enables direct access and profiling of the total metagenomic DNA pool, where ARGs are typically identified or predicted based on the “best hits” of sequence searches against existing databases. Unfortunately, this approach produces a high rate of false negatives. To address such limitations, we propose here a deep learning approach, taking into account a dissimilarity matrix created using all known categories of ARGs. Two deep learning models, DeepARG-SS and DeepARG-LS, were constructed for short read sequences and full gene length sequences, respectively. Evaluation of the deep learning models over 30 antibiotic resistance categories demonstrates that the DeepARG models can predict ARGs with both high precision (&gt; 0.97) and recall (&gt; 0.90). The models displayed an advantage over the typical best hit approach, yielding consistently lower false negative rates and thus higher overall recall (&gt; 0.9). As more data become available for under-represented ARG categories, the DeepARG models’ performance can be expected to be further enhanced due to the nature of the underlying neural networks. Our newly developed ARG database, DeepARG-DB, encompasses ARGs predicted with a high degree of confidence and extensive manual inspection, greatly expanding current ARG repositories. The deep learning models developed here offer more accurate antimicrobial resistance annotation relative to current bioinformatics practice. DeepARG does not require strict cutoffs, which enables identification of a much broader diversity of ARGs. The DeepARG models and database are available as a command line version and as a Web service at http://bench.cs.vt.edu/deeparg.
description: Antibiotic resistance genes (ARGs) database
DOI: 10.5439/1899596
title: Ice nucleating particle concentrations measured by the PNNL-CFDC during the AGINSGP field experiment

description: Real-time, immersion mode ambient ice nucleating particle (INP) concentrations were measured at ARM’s Southern Great Plains (SGP) site during the AGINSGP field experiment using a continuous flow diffusion chamber (CFDC) from Pacific Northwest National Laboratory (PNNL). The PNNL-CFDC is an ice-thermal gradient diffusion chamber that optically detects the freezing of single aerosol particles (Kulkarni et al. 2020). The instrument was located in the guest instrument facility (GIF) and measured INP concentrations from April 8th to April 29th. Air was drawn into the GIF through custom aluminum stack inlets (6” inner diameter) attached vertically to the outer GIF wall and the GIF outside platform. A blower pulled air through the stacks at a velocity of 1 m/s. Aerosol instruments subsampled via wall ports, through either 3/8” or 1/4" copper lines, depending on sample flow of the instrument. Kulkarni, G., Hiranuma, N., Möhler, O., Höhler, K., China, S., Cziczo, D. J., & DeMott, P. J. (2020). A new method for operating a continuous-flow diffusion chamber to investigate immersion freezing: Assessment and performance study. Atmospheric Measurement Techniques, 13(12), 6631–6643. https://doi.org/10.5194/amt-13-6631-2020.
DOI: 10.5439/1899597
title: Ice nucleating particle concentrations measured by the CSU-CFDC during the AGINSGP field experiment

description: Real-time, immersion mode ambient ice nucleating particle (INP) concentrations were measured at ARM’s Southern Great Plains (SGP) site during the AGINSGP field experiment using a continuous flow diffusion chamber (CFDC) from Colorado State University (CSU). The CSU-CFDC is an ice-thermal gradient diffusion chamber that optically detects the freezing of single aerosol particles (Rogers 1988; Rogers et al. 2001; and Eidhammer et al. 2010). The instrument was located in the guest instrument facility (GIF) and measured INP concentrations from April 8th to April 29th. Air was drawn into the GIF through custom aluminum stack inlets (6” inner diameter) attached vertically to the outer GIF wall and the GIF outside platform. A blower pulled air through the stacks at a velocity of 1 m/s. Aerosol instruments subsampled via wall ports, through either 3/8” or 1/4" copper lines, depending on sample flow of the instrument. Rogers, D. C., Development of a continuous flow thermal gradient diffusion chamber for ice nucleation studies, Atmospheric Research, 22(2), 149-181, doi:10.1016/0169-8095(88)90005-1, 1988. Rogers, D. C., P. J. DeMott, S. M. Kreidenweis and Y. Chen, A continuous flow diffusion chamber for airborne measurements of ice nuclei, J. Atmos. Oceanic Technol., 18, 725-741, doi:10.1175/1520-0426(2001)018&lt;0725:ACFDCF&gt;2.0.CO;2, 2001. Eidhammer, T., DeMott, P. J., Prenni, A. J., Petters, M. D., Twohy, C. H., Rogers, D. C., Stith, J., Heymsfield, A., Wang, Z., Haimov, S., French, J., Pratt, K., Prather, K., Murphy, S., Seinfeld, J., Subramanian, R., and Kreidenweis, S. M., Ice initiation by aerosol particles: Measured and predicted ice nuclei concentrations versus measured ice crystal concentrations in an orographic wave cloud, J. Atmos. Sci., 67, 2417-2436, doi:10.1175/2010JAS3266.1, 2010
DOI: 10.6084/m9.figshare.21737930
title: Dados de dissociação de cinturas coletados por meio do sistema de captura de movimento Wearnotch®, com taxa de amostragem de 100 Hz (Wearnotch, Notch Interfaces, Inc., New Jersey, EUA). Luísa Beatriz Trevisan Teixeira - PPGCMH -UFRGS

description: O movimento foi gravado com o sistema de captura de movimento Wearnotch®, onde quinze sensores sem fio de corpo inteiro, foram fixados no corpo do bailarino. Os dados do ângulo das articulações expressam a distância angular entre a orientação óssea do bailarino e a orientação estável inicial, no período determinado, medida em graus, com taxa de amostragem de 100 Hz (Wearnotch, Notch Interfaces, Inc., New Jersey, EUA).
DOI: 10.6084/m9.figshare.21737930.v1
title: Dados de dissociação de cinturas coletados por meio do sistema de captura de movimento Wearnotch®, com taxa de amostragem de 100 Hz (Wearnotch, Notch Interfaces, Inc., New Jersey, EUA). Luísa Beatriz Trevisan Teixeira - PPGCMH -UFRGS

description: O movimento foi gravado com o sistema de captura de movimento Wearnotch®, onde quinze sensores sem fio de corpo inteiro, foram fixados no corpo do bailarino. Os dados do ângulo das articulações expressam a distância angular entre a orientação óssea do bailarino e a orientação estável inicial, no período determinado, medida em graus, com taxa de amostragem de 100 Hz (Wearnotch, Notch Interfaces, Inc., New Jersey, EUA).
DOI: 10.5281/zenodo.7444811
title: supplementary dataset for "Review of quantitative applications of the concept of the water planetary boundary at different spatial scales"

description: This supporting information includes 6 spread sheets: Table S1 288_database search The studies collected through an adjusted search strategy from ISI Web of Science v.5.35.<br> Table S2 114_1st filter The studies passed the 1st filter and their category (Category I ).<br> Table S3 52_2nd filter The studies passed the 2ed filter and their category (Category II ).<br> Table S4 26_additional screening The studies collected through manual searching from the citations of 288 studies, as well as the range included in previous literature reviews.<br> Table S5 28_final The studies passed the three filters and three additional reports.<br> Table S6 488_data records The 488 data records collected from the 28 studies.<br>
DOI: 10.6084/m9.figshare.21737969
title: loess 10Be data.xlsx

description: The atmospheric 10Be production signal modulated by geomagnetic field intensity during M/G reversal from Chinese loess.
DOI: 10.6084/m9.figshare.21737969.v1
title: loess 10Be data.xlsx

description: The atmospheric 10Be production signal modulated by geomagnetic field intensity during M/G reversal from Chinese loess.
DOI: 10.21947/1905188
title: SOWFA Large-Eddy Simulation of a Diurnal Cycle at the SWiFT Site

description: These are large-eddy simulation (LES) data output from the Simulator for Wind Farm Applications (SOWFA) with internal mesoscale-to-microscale coupling. A diurnal cycle was simulated over the Scaled Wind Farm Technology (SWIFT) facility near Lubbock, Texas, from 2013-11-08 12:00:00 UTC to 2013-11-09 12:00:00 UTC. Indirect profile assimilation was used to enforce nonstationary mesoscale conditions. Mesoscale forcing data were extracted from WRF numerical weather prediction outputs or derived from observations at SWiFT.
DOI: 10.26180/21737966
title: Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex_data.xlsx

description: Data set for the manuscript "Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex". <br> Data labels: HIIT, high-intensity interval exercise session; REST, rest session; baseline, baseline time point; early, early post-tetanus time point; late, late post-tetanus time point; tetanised, tetanised stimulus; non-tetanised, non-tetanised stimulus. <br> Each measure, in each location, is shown on a different tab. The N1b was measured from electrodes in the left and right parieto-occipital areas. The P2 was measured from electrode POz in the central occipital area. The aperiodic exponent and aperiodic offset were measured from each of the three locations specificied above.
DOI: 10.26180/21737966.v1
title: Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex_data.xlsx

description: Data set for the manuscript "Acute exercise as a modifier of neocortical plasticity and aperiodic activity in the visual cortex". <br> Data labels: HIIT, high-intensity interval exercise session; REST, rest session; baseline, baseline time point; early, early post-tetanus time point; late, late post-tetanus time point; tetanised, tetanised stimulus; non-tetanised, non-tetanised stimulus. <br> Each measure, in each location, is shown on a different tab. The N1b was measured from electrodes in the left and right parieto-occipital areas. The P2 was measured from electrode POz in the central occipital area. The aperiodic exponent and aperiodic offset were measured from each of the three locations specificied above.
DOI: 10.25911/9f5q-6797
title: Great Artesian Basin groundwater project using space gravity observations.

description: Estimates of changes in total water storage, soil moisture and groundwater derived from numerical models and the analysis of space gravity data from the GRACE and GRACE Follow-On space gravity missions.
description: Changes in groundwater can be derived from satellite data across Australia by subtracting changes in soil moisture from changes in total water storage (and assuming that no other significant changes in mass are occurring by other processes). This approach was implemented in a study of groundwater changes in the Great Artesian Basin. Total water storage estimates were derived from GRACE and GRACE Follow-On data, while soil moisture values were taken from outputs of a number of land surface models. Additionally, the total water storage and soil moisture information was assimilated into the AWRA-L land surface model to assess whether and how the data assimilation process would modeify/improve the groundwater output estimates of the model. Three technical reports were created during this project and are provided at the following links: Monitoring groundwater in the Great Artesian Basin through remote sensing: the Surat Basin (pdf) Monitoring groundwater storage_in the Great Artesian Basin through remote sensing: data assimilation over the Surat and Eromanga Basins (pdf) Groundwater estimates in the Great Artesian Basin (2018-2020) from the analysis of GRACE Follow-On data (pdf) The total water storage, soil moisture and groundwater estimates are provided in netcdf format here. The project was funded by Geoscience Australia as part of the broader Australian Government Great Artesian Basin project.
DOI: 10.6084/m9.figshare.21737972
title: 2020 DSTB treatment outcomes V1(TCMando).xlsx

description: dataset for TB treatment outcomes in Zimbabwe for the 2020 cohorts
DOI: 10.6084/m9.figshare.21738002
title: Standardization_on_TFP

description: data for "The Impact of Technical Standardization on Total Factor Productivity from the Perspective of Innovation-driven De-velopment"
DOI: 10.6084/m9.figshare.21738002.v1
title: Standardization_on_TFP

description: data for "The Impact of Technical Standardization on Total Factor Productivity from the Perspective of Innovation-driven De-velopment"
DOI: 10.14457/tu.the.2021.1067
title: บทบาทของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพระดับท้องถิ่น: กรณีศึกษา องค์การบริหารส่วนตำบลยายชา อำเภอสามพราน จังหวัดนครปฐม

description: การศึกษาเรื่องบทบาทของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพระดับท้องถิ่น กรณีศึกษา องค์การบริหารส่วนตำบลยายชา อำเภอสามพราน จังหวัดนครปฐม มีวัตถุประสงค์เพื่อ (1) เพื่อศึกษาบทบาทของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพ องค์การบริหารส่วนตำบลยายชา อำเภอสามพราน จังหวัด นครปฐม (2) เพื่อศึกษาสภาพปัญหาและอุปสรรคของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพ องค์การบริหารส่วนตำบลยายชา อำเภอสามพราน จังหวัด นครปฐม และ (3) เพื่อศึกษาแนวทางในการแก้ไขปัญหาของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพ องค์การบริหารส่วนตำบลยายชา อำเภอสามพราน จังหวัด นครปฐม เพื่อให้ปฏิบัติงานอย่างประสิทธิภาพมากยิ่งขึ้น ผลการศึกษาพบว่า คณะกรรมการการบริหารกองทุนหลักประกันสุขภาพ ได้แสดงบทบาททั้ง 4 ด้าน ได้แก่ บทบาทการพิจารณาอนุมัติแผนการเงินประจำปีของกองทุน บทบาทการพิจารณาอนุมัติโครงการหรือกิจกรรม บทบาทสนับสนุนให้บุคคลในท้องถิ่นเข้าถึงบริการสาธารณสุข และบทบาทพิจารณาให้ความเห็นชอบรายงานผลการดำเนินงานของกองทุน ได้เป็นอย่างดี และมีส่วนร่วมในแต่ละบทบาทเป็นอย่างมาก แต่อย่างไรก็ตาม ยังพบปัญหาที่เกิดจากการแสดงบทบาทของคณะกรรมการ ได้แก่ ความล่าช้าของการใช้อุปกรณ์ที่เกี่ยวข้องกับการดำเนินงานของคณะกรรมการการบริหารกองทุนหลักประกันสุขภาพ และปัญหาการไม่ให้ความร่วมมือของประชาชน
DOI: 10.5281/zenodo.7331473
title: Test datasets for GenoVi: draft and complete genomes

description: Test dataset for GenoVi (Genome Visualizer).<br> All the genomes available in this repository were used to create all the analysis done by Cumsille et al., 2022 for the publication of GenoVi.
DOI: 10.5281/zenodo.7331472
title: Test datasets for GenoVi: draft and complete genomes

description: Test dataset for GenoVi (Genome Visualizer).<br> All the genomes available in this repository were used to create all the analysis done by Cumsille et al., 2022 for the publication of GenoVi.
DOI: 10.6084/m9.figshare.21738077
title: goat_sheep_genome_te_annotation.xlsx

description: the te annotation of sheep and goat genome
DOI: 10.6084/m9.figshare.21738077.v1
title: goat_sheep_genome_te_annotation.xlsx

description: the te annotation of sheep and goat genome
DOI: 10.6084/m9.figshare.21738011
title: data.xlsx

description: The atmospheric 10Be production signal modulated by geomagnetic field intensity during M/G reversal from Chinese loess.
DOI: 10.6084/m9.figshare.21738011.v1
title: data.xlsx

description: The atmospheric 10Be production signal modulated by geomagnetic field intensity during M/G reversal from Chinese loess.
DOI: 10.6084/m9.figshare.21731015
title: Percentage of non-agricultural land of cities from 2005 to 2020

description: The percentage of non-agricultural land of cities from 2005 to 2020 in the middle and lower reaches of the Yangtze River.
DOI: 10.6084/m9.figshare.21731015.v3
title: Percentage of non-agricultural land of cities from 2005 to 2020

description: The percentage of non-agricultural land of cities from 2005 to 2020 in the middle and lower reaches of the Yangtze River.
DOI: 10.6084/m9.figshare.21731015.v2
title: Percentage of non-agricultural land of cities from 2005 to 2020

description: The percentage of non-agricultural land of cities from 2005 to 2020 in the middle and lower reaches of the Yangtze River.
DOI: 10.6084/m9.figshare.21428214.v1
title: SV_convergency_figshare

description: figshare of the convergent SVs in sheep and goat
DOI: 10.6084/m9.figshare.21738245
title: te annotation of sheep and goat genome

description: te annotation of ref genomes <br>
DOI: 10.6084/m9.figshare.21738245.v1
title: te annotation of sheep and goat genome

description: te annotation of ref genomes <br>
DOI: 10.6084/m9.figshare.21738014
title: Hydrological and carbon datasets.xlsx

description: This dataset contains salinity, suspended sediment concentration (SSC), concentration and stable isotopic composition (δ13C) of POC in the suspended particles during the Water and Sediment Regulation Scheme (WSRS) in the Yellow River Estuary in 2019.
DOI: 10.6084/m9.figshare.21738014.v1
title: Hydrological and carbon datasets.xlsx

description: This dataset contains salinity, suspended sediment concentration (SSC), concentration and stable isotopic composition (δ13C) of POC in the suspended particles during the Water and Sediment Regulation Scheme (WSRS) in the Yellow River Estuary in 2019.
DOI: 10.5517/ccdc.csd.cc1l9zc7
title: CCDC 1469349: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Ilknur Erucar, Gündoğ Yücesan, Yunus Zorlu|2022|Cryst.Growth Des.|22|7123|doi:10.1021/acs.cgd.2c00806
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.cc1l9zd8
title: CCDC 1469350: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Ilknur Erucar, Gündoğ Yücesan, Yunus Zorlu|2022|Cryst.Growth Des.|22|7123|doi:10.1021/acs.cgd.2c00806
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.cc1l9zf9
title: CCDC 1469351: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Ilknur Erucar, Gündoğ Yücesan, Yunus Zorlu|2022|Cryst.Growth Des.|22|7123|doi:10.1021/acs.cgd.2c00806
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.cc1l9zb6
title: CCDC 1469348: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Ilknur Erucar, Gündoğ Yücesan, Yunus Zorlu|2022|Cryst.Growth Des.|22|7123|doi:10.1021/acs.cgd.2c00806
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.cc27z08j
title: CCDC 2084417: Experimental Crystal Structure Determination

description: Related Article: Janusz Szklarzewicz, Maciej Hodorowicz, Anna Jurowska|2023|Inorg.Chim.Acta|546|121320|doi:10.1016/j.ica.2022.121320
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.cc2bk6w0
title: CCDC 2161502: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Ilknur Erucar, Gündoğ Yücesan, Yunus Zorlu|2022|Cryst.Growth Des.|22|7123|doi:10.1021/acs.cgd.2c00806
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.cc2c6cvt
title: CCDC 2180876: Experimental Crystal Structure Determination

description: Related Article: Janusz Szklarzewicz, Maciej Hodorowicz, Anna Jurowska|2023|Inorg.Chim.Acta|546|121320|doi:10.1016/j.ica.2022.121320
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.cc2c7lpx
title: CCDC 2182049: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Wenhui Xing, Meiju Liu, Dezhi Yang, Guorong He, Fengfeng Wang, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2022|Cryst.Growth Des.|22|7195|doi:10.1021/acs.cgd.2c00866
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.cc2c7lqy
title: CCDC 2182050: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Wenhui Xing, Meiju Liu, Dezhi Yang, Guorong He, Fengfeng Wang, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2022|Cryst.Growth Des.|22|7195|doi:10.1021/acs.cgd.2c00866
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.cc2c7lrz
title: CCDC 2182051: Experimental Crystal Structure Determination

description: Related Article: Hongmei Yu, Baoxi Zhang, Wenhui Xing, Meiju Liu, Dezhi Yang, Guorong He, Fengfeng Wang, Li Zhang, Ningbo Gong, Yang Lu, Guanhua Du|2022|Cryst.Growth Des.|22|7195|doi:10.1021/acs.cgd.2c00866
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.