cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6809477
title: Integrative structure determination of PTBP1-viral IRES complex in solution

description: Ensemble structure model of the RNA-binding protein PTBP1 in complex with the internal ribosome entry site (IRES) of encephalomyocarditis virus (EMCV) RNA and data underlying these models. Main ensemble based on all restraints (corresponding to Figure 2 in the associated paper) Ensemble obtained with only DEER distance distribution restraints corresponding to Figure S7(A) in the Supplementary Material of the associated paper Validation ensemble obtained with all restraints after removing the conformers of the main ensemble from the raw ensemble corresponding to Figure S7(B) inthe Supplementary Material of the associated paper Ensemble obtianed with all restraints by fitting populations with a non-negative linear least squares (NNLLSQ) approach corresponding to Figure S8(A) in ths Supplementary Material of the associated paper Primary DEER-EPR data underlying site-to-site distance distributions for 35 spin-label pairs and corresponding distanace distributions Small-angle neutron scattering (SANS) curves a two detector distances with corresponding resolution files and a small-angle x-ray scattering (SAXS) curve Restraint file for the ensemble fit with MMMx software, specifying the mean distances and standrad deviations of distance distributions that were also used for specifying lower and upper distance bounds in CYANA generation of the raw ensemble Source data for the figures in the associated paper Source data for the tables in the associated paper All ensembles are ZIP files containing single PDB files for all conformers and an ensemble specification that reports populations for all conformers.
description: additional funding: Schweizerischer Nationalfonds zur Fórderung der Wissenschaften 31003A-170130 Schweizerischer Nationalfonds zur Förderung der Wissenschaften Sinergia CRSII5-170976 ETH Research Grant 0-2066-14
DOI: 10.5281/zenodo.8379400
title: Data for Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake

description: Data to go with our submission to Climatic Change titled "Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake". Dataset contains the embeddings (.zip with pickles) as well as the associated document items (idem), the most-closely associated keywords and paragraphs per topic in the final model (.xlsx), the reduced 2d embeddings with all selected paragraphs (.csv utf-8 encoded), as well as an overview with the meta-data per source (.csv utf-8 encoded).
DOI: 10.5281/zenodo.8379401
title: Data for Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake

description: Data to go with our submission to Climatic Change titled "Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake". Dataset contains the embeddings (.zip with pickles), the most-closely associated keywords and paragraphs per topic in the final model (.xlsx) and reduced 2d embeddings with all selected paragraphs (.csv utf-8 encoded), as well as an overview with the meta-data per source (.csv utf-8 encoded).
DOI: 10.5281/zenodo.8379988
title: Data for Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake

description: Data to go with our submission to Climatic Change titled "Progress on Climate Action: a Multilingual Machine Learning Analysis of the Global Stocktake". Dataset contains the embeddings (.zip with pickles) as well as the associated document items (idem), the most-closely associated keywords and paragraphs per topic in the final model (.xlsx), the reduced 2d embeddings with all selected paragraphs (.csv utf-8 encoded), as well as an overview with the meta-data per source (.csv utf-8 encoded).
DOI: 10.6084/m9.figshare.24198819
title: Genome annotation of Function annotation ressult of Acrossocheilus fasciatus genome genes.

description: Function annotation ressult of Acrossocheilus fasciatus genome genes.<br>
DOI: 10.5517/ccdc.csd.cc27l6tw
title: CCDC 2073088: Experimental Crystal Structure Determination

description: Related Article: Daniela Carmona-Pérez, Hugo Vazquez-Lima, Miró Pere, Aarón Pérez-Benítez, Yasmi Reyes-Ortega, Samuel Hernández-Anzaldo|2023|Polyhedron|244|116596|doi:10.1016/j.poly.2023.116596
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.cc2ffbpx
title: CCDC 2247149: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2ffbrz
title: CCDC 2247151: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2ffbs0
title: CCDC 2247152: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2ffbv2
title: CCDC 2247154: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2ffbw3
title: CCDC 2247155: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2ffbx4
title: CCDC 2247156: Experimental Crystal Structure Determination

description: Related Article: Jan Vrána, Zdeňka Růžičková, Aleš Růžička, Libor Dostál|2023|Dalton Trans.|52|12623|doi:10.1039/D3DT01859H
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.cc2fmf0j
title: CCDC 2252987: Experimental Crystal Structure Determination

description: Related Article: Cleverton O.C. da Silveira, Samuel H.M. Santos, Tamyris T. da Cunha, Willian X.C. Oliveira, Kariny C.V. Nolasco, Walace D. do Pim, Adriele A. de Almeida, Marcelo Knobel, Carlos B. Pinheiro, João C.D. Figueiredo-Júnior, Luiz Carlos A. Oliveira, Emerson F. Pedroso, Cynthia L.M. Pereira|2023|J.Mol.Struct.|1294|136472|doi:10.1016/j.molstruc.2023.136472
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24198876
title: PLS-SEM - Christopher Kamau

description: The data was used to identify psychological factors that determine intention to adopt IC breeds in Machakos County
DOI: 10.6084/m9.figshare.23716041
title: Jayasinghe_etal_2023

description: Data and codes for the paper titled Inertial Measurement Data From Loose Clothing Worn on the Lower Body During Everyday Activities with an updated folder name.
DOI: 10.6084/m9.figshare.23716041.v1
title: Jayasinghe_etal_2023

description: Data and codes for the paper titled Inertial Measurement Data From Loose Clothing Worn on the Lower Body During Everyday Activities with an updated folder name.
DOI: 10.6084/m9.figshare.24018525
title: DH Data - Christopher on Intensity

description: This data supports my manuscript on Adoption of IC technologies in Machakos County
DOI: 10.6084/m9.figshare.24018525.v1
title: DH Data - Christopher on Intensity

description: This data supports my manuscript on Adoption of IC technologies in Machakos County
DOI: 10.6084/m9.figshare.23988630.v1
title: Supplementary Material for: MRI USING GADOXETIC ACID IN THE WORK-UP OF LIVER NODULES NOT CONCLUSIVELY BENIGN IN BUDD-CHIARI SYNDROME. A PROSPECTIVE LONG-TERM FOLLOW-UP

description: Introduction The incidence of hepatocellular carcinoma (HCC) in Budd-Chiari syndrome (BCS) is unknown and there is no validated diagnostic work-up to define the liver nodules with arterial phase hyperenhancement (APHE) suggesting malignancy. This prospective study evaluates HCC incidence in a Western cohort of patients with BCS and assesses the performance of MRI with hepatobiliary contrast (HB-MRI) for nodule characterization. Methods Patients with BCS followed in our hospital were prospectively evaluated by MRI with extracellular contrast (EC-MRI). Nodules with APHE categorized as non-conclusively benign by 2 radiologists, were studied by HB-MRI and reviewed by 2 radiologists blinded to the EC-MRI results. A new EC-MRI one year later and clinical, analytical and sonographic follow-up every six months for a median of 10 years were performed. Results A total of 55 non-conclusively benign nodules with APHE were detected at EC-MRI in 41 patients. While 32 of them were suggestive of HCC by EC-MRI, all the 55 nodules showed increased uptake of hepatobiliary contrast. An unequivocal central scar was seen in 12/55 nodules at HB-MRI regardless of it was not detected on the EC-MRI. None of the nodules was hypointense in the hepatobiliary phase. HCC was not detected during a median of 10 years of follow-up. Conclusions Detection of nodules with APHE is frequent in patients with BCS, but HCC is rare in Western patients with BCS. While EC-MRI may detect nodules suggesting malignancy, the identification of contrast uptake in the hepatobiliary phase at HB-MRI may help to categorize them as benign.
DOI: 10.21227/tkxr-xf96
title: Wearable Respiratory Data During Pulmonary Rehabilitation Exercises (Magnetic Field-Based and Piezoelectric-Based Wearables Against Airflow Transducer)

description: Dataset for validation of a new magnetic field-based wearable breathing sensor (MAG), which uses the movement of the chest wall as a surrogate measure of respiratory activity. Based on the principle of variation in magnetic field strength with the distance from the source, this system explores Hall effect sensing, paired with a permanent magnet, embedded in a chest strap.The proposed wearable device was evaluated using the gold-standard as a reference system - an airflow transducer - and compared to a commonly used wearable device with analogous usability but with a different working principle - a piezoelectric-based sensor (PZT) embedded in a chest strap.A total of 16 healthy participants (M/F parity) performed 15 different activities, representative of pulmonary rehabilitation exercises, simultaneously using the three devices. The dataset was created for evaluation of the proposed device based on detection of flow reversal events, as well as fiducials detection latency.The 15 activities executed by the participants were: standing normal breathing (STNB); seated normal breathing (SNB); seated guided-breathing (SGB); normal/deep-alternated breathing (MIXB); march (MCH); squat (SQT); adduction/abduction of the left/right arm (AAL/AAR); adduction/abduction of the left/right leg (ALL/ALR); upwards (overhead) left/right arm extension (UAL/UAR); shoulder elevation (SE); side stretch (SS); and seated trunk rotation (TR).
DOI: 10.21227/5zbe-2032
title: Wearable Respiratory Data During Pulmonary Rehabilitation Exercises (Magnetic Field-Based and Piezoelectric-Based Wearables Against Airflow Transducer)

description: Dataset for validation of a new magnetic field-based wearable breathing sensor (MAG), which uses the movement of the chest wall as a surrogate measure of respiratory activity. Based on the principle of variation in magnetic field strength with the distance from the source, this system explores Hall effect sensing, paired with a permanent magnet, embedded in a chest strap.The proposed wearable device was evaluated using the gold-standard as a reference system - an airflow transducer - and compared to a commonly used wearable device with analogous usability but with a different working principle - a piezoelectric-based sensor (PZT) embedded in a chest strap.A total of 16 healthy participants (M/F parity) performed 15 different activities, representative of pulmonary rehabilitation exercises, simultaneously using the three devices. The dataset was created for evaluation of the proposed device based on detection of flow reversal events, as well as fiducials detection latency.The 15 activities executed by the participants were: standing normal breathing (STNB); seated normal breathing (SNB); seated guided-breathing (SGB); normal/deep-alternated breathing (MIXB); march (MCH); squat (SQT); adduction/abduction of the left/right arm (AAL/AAR); adduction/abduction of the left/right leg (ALL/ALR); upwards (overhead) left/right arm extension (UAL/UAR); shoulder elevation (SE); side stretch (SS); and seated trunk rotation (TR).
DOI: 10.26188/24198924
title: TTS2 clinical data

description: Individual patient admission data, including Spo2 measurements and details of O2 therapy for children &lt;15 years in 20 facilities in western Uganda. Collected as part of the clinical evaluation of implementation of oxygen technology.
DOI: 10.26188/24198924.v1
title: TTS2 clinical data

description: Individual patient admission data, including Spo2 measurements and details of O2 therapy for children &lt;15 years in 20 facilities in western Uganda. Collected as part of the clinical evaluation of implementation of oxygen technology.
DOI: 10.5281/zenodo.7330130
title: Statistically unbiased prediction enables accurate denoising of voltage imaging data

description: Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pixel value in voltage imaging data is highly dependent on its spatially neighboring pixels in the same time frame, even when its temporally adjacent frames do not provide useful information for statistical prediction. Such spatiotemporal dependency is captured and utilized to accurately denoise voltage imaging data in which the existence of the action potential in a time frame cannot be inferred by the information in other frames. Through simulation and experiments, we show that SUPPORT enables precise denoising of voltage imaging data while preserving the underlying dynamics in the scene. Datasets for volumetric structural imaging of penicillium and calcium imaging of zebrafish. Volumetric structural imaging of penicillium<br> 221110_C2_16X0p8NA_w_Pen_FITC_0p5Hz_SinglePlane_S1R1_xy0p34um_laser0p5_Gain10_pinhole2p7AU.tif<br> --&gt; Low SNR image<br> 221110_C2_16X0p8NA_w_Pen_FITC_0p5Hz_SinglePlane_S1R2_xy0p34um_laser10_Gain2_pinhole2p7AU.tif<br> --&gt; High SNR image Calcium imaging of zebrafish<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_1Hz_SinglePlane_Whole_S7R1_xy0p75um_laser1_Gain10_pinhole1p8AU.tif<br> --&gt; Multiple regions<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_2Hz_SinglePlane_Ce_S7R1_xy0p34um_laser1p5_Gain10_pinhole1p8AU.tif<br> --&gt; Cerebellar plate<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_2Hz_SinglePlane_D_S7R1_xy0p34um_laser1p5_Gain10_pinhole1p8AU.tif<br> --&gt; Dorsal telencephalon<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_2Hz_SinglePlane_MO_S7R1_xy0p34um_laser1p5_Gain10_pinhole1p8AU.tif<br> --&gt; Medullar oblongata<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_2Hz_SinglePlane_OB_S7R1_xy0p34um_laser5_Gain20_pinhole1p8AU.tif<br> --&gt; Olfactory bulb<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_2Hz_SinglePlane_OT_S7R1_xy0p34um_laser1p5_Gain10_pinhole1p8AU.tif<br> --&gt; Optic tectum<br> 221024_C2_16X0p8NA_w_casper_GCaMP7a_4dpf_FITC_4Hz_SinglePlane_Hb_S7R1_xy0p34um_laser1p5_Gain15_pinhole1p8AU.tif<br> --&gt; Habenula
DOI: 10.5281/zenodo.7330257
title: Statistically unbiased prediction enables accurate denoising of voltage imaging data

description: Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data. SUPPORT is based on the insight that a pixel value in voltage imaging data is highly dependent on its spatially neighboring pixels in the same time frame, even when its temporally adjacent frames do not provide useful information for statistical prediction. Such spatiotemporal dependency is captured and utilized to accurately denoise voltage imaging data in which the existence of the action potential in a time frame cannot be inferred by the information in other frames. Through simulation and experiments, we show that SUPPORT enables precise denoising of voltage imaging data while preserving the underlying dynamics in the scene. We also show that SUPPORT can be used for denoising time-lapse fluorescence microscopy images of <em>Caenorhabditis elegans</em> (<em>C. elegans</em>), in which the imaging speed is not faster than the locomotion of the worm, as well as static volumetric images of <em>Penicillium</em> and mouse embryos. SUPPORT is exceptionally compelling for denoising voltage imaging and time-lapse imaging data, and is even effective for denoising calcium imaging data. For more details, please see the accompanying research publication "Statistically unbiased prediction enables accurate denoising of voltage imaging data". Datasets for volumetric structural imaging of penicillium and calcium imaging of zebrafish. <strong>Volumetric structural imaging of <em>penicillium</em></strong><br> Penicillium/penicillium_low_snr.tif<br> --&gt; Low SNR image<br> Penicillium/penicillium_high_snr.tif<br> --&gt; High SNR image <strong>Calcium imaging of zebrafish</strong><br> Zebrafish/zebrafish_multiple_brain_regions.tif<br> --&gt; Multiple brain regions<br> Zebrafish/zebrafish_Cerebellar_plate.tif<br> --&gt; Cerebellar plate<br> Zebrafish/zebrafish_Dorsal_telencephalon.tif<br> --&gt; Dorsal telencephalon<br> Zebrafish/zebrafish_Medulla_oblongata.tif<br> --&gt; Medulla oblongata<br> Zebrafish/zebrafish_Olfactory_bulb.tif<br> --&gt; Olfactory bulb<br> Zebrafish/zebrafish_Optic_tectum.tif<br> --&gt; Optic tectum<br> Zebrafish/zebrafish_Habenula.tif<br> --&gt; Habenula
DOI: 10.17632/25t3pjzd8r.1
title: Impacts of customer satisfaction on revisit intention of food truck: Testing of mediating and moderation impacts

description: H1: Customer satisfaction has a significant positive impact of food truck image H2: Food truck image has significant positive impact of customer revisit intention H3: Customer satisfaction has significant positive impact of word of mouth H4: Word of mouth has significant positive impact of customer revisit intention H5: Customer satisfaction has significant positive impact of customer revisit intention H6: Food truck image mediates the impact of customer satisfaction on customer revisit intention H7: Word of mouth mediates the impact of customer satisfaction on customer revisit intention. H8: Environmental practices as a moderator impact of service quality and customer satisfaction. According to this study's findings, there is a significant impact of customer satisfaction on food truck image, word of mouth and customer revisit intention. Word of mouth positively influenced revisit intention of food truck customer. Food truck image insignificant of customer revisit intention. The results revealed on insignificant mediating effect of customer satisfaction on revisit intention of customer through food truck image and word of mouth. The result also finds, environmental practices are mediation impacts between service quality and customer satisfaction.
DOI: 10.6084/m9.figshare.23937303.v2
title: Data associated with manuscript ("An Effective Medium Theory-Based Unified Model for Estimating Thermal Conductivity in Unfrozen and Frozen Soils") submitted to International Journal of Heat and Mass Transfer

description: Datasets associated with manuscript “An Effective Medium Theory-Based Unified Model for Estimating Thermal Conductivity in Unfrozen and Frozen Soils” submitted to Internation Journal of Heat and Mass Transfer<br>The dataset includes two excel files. One is "optimized models for selected samples.xlsx", and the other is “trained unified & testing 3 models.xlsx”."optimized models for selected samples.xlsx": three soil samples with measurements were selected to present the ability of the unified model and existing models. These models were optimized to best fit the measurements.Columns:“measurement”: measured thermal conductivity;“ck2005”, “tian2016”, “gd2016”, “unified”: predicted thermal conductivities by the individual models;“fr_high”: high-conductivity fraction. It is liquid water content for unfrozen soils, and liquid and ice content for frozen soils.<br>“trained unified & testing 3 models.xlsx”: the training dataset were first used to build the pedotransfer functions for three parameters of the unified model (results in sheets “training-unfrozen” and “training-frozen”). The testing dataset were then used to evaluate the three models (results in sheets “testing-unfrozen” and “testing-frozen”).Columns:“fr_cr”:the critical volume fraction;“ts”: the scaling exponent;“alpha”: the compensating factor;“volume water content”: initial water content at the onset of freezing;<br>Units:measured temperature in [°C];dry bulk density in [kg m<sup>-3</sup>];porosity in [m<sup>3</sup> m<sup>-3</sup>];volume water content in [m<sup>3</sup> m<sup>-3</sup>];measured/predicted thermal conductivity in [Wm<sup>-1</sup>°C<sup>-1</sup>].