cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6397460
title: dMRI-RCNN Pre-Trained Weights - 1D b1000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 1000.
DOI: 10.5281/zenodo.6397459
title: dMRI-RCNN Pre-Trained Weights - 1D b1000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 1000.
DOI: 10.5281/zenodo.6397462
title: Round Robin on turbulence estimates from nacelle mounted Lidar systems

description: Temperature, humidity and Pressure dataset for second period of pulsed lidar data.
DOI: 10.5281/zenodo.6397461
title: Round Robin on turbulence estimates from nacelle mounted Lidar systems

description: Temperature, humidity and Pressure dataset for second period of pulsed lidar data.
DOI: 10.5281/zenodo.6397466
title: dMRI-RCNN Pre-Trained Weights - 1D b1000 30q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 30, b = 1000.
DOI: 10.5281/zenodo.6397465
title: dMRI-RCNN Pre-Trained Weights - 1D b1000 30q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 30, b = 1000.
DOI: 10.5281/zenodo.6397470
title: dMRI-RCNN Pre-Trained Weights - 1D b2000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 2000.
DOI: 10.5281/zenodo.6397469
title: dMRI-RCNN Pre-Trained Weights - 1D b2000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 2000.
DOI: 10.5281/zenodo.6397476
title: dMRI-RCNN Pre-Trained Weights - 1D b3000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 3000.
DOI: 10.5281/zenodo.6397475
title: dMRI-RCNN Pre-Trained Weights - 1D b3000 10q

description: Pre-trained weights for dMRI-RCNN. 1D RCNN model, for q_in = 10, b = 3000.
DOI: 10.5281/zenodo.6397480
title: ESMARConf2022 evaluation responses

description: Responses to the ESMARConf2022 post-event evaluation for participants and presenters.
DOI: 10.5281/zenodo.6397486
title: ESMARConf2022 evaluation responses

description: Responses to the ESMARConf2022 post-event evaluation for participants and presenters.
DOI: 10.6084/m9.figshare.19397156
title: Dataset: Spatial Variability and Uncertainty of Soil Nitrogen across the Conterminous United States at Different Depths

description: Soil nitrogen (N) is an important driver of plant productivity and ecosystem functioning; consequently, it is critical to understand its spatial variability from local-to-global scales. Here we provide a quantitative assessment of the three-dimensional spatial distribution of soil N across the conterminous United States (CONUS) using a digital soil mapping (DSM) approach. We used a random forest-regression kriging algorithm to predict soil N concentrations and associated uncertainty across six soil depths (0-5, 5-15, 15-30, 30-60, 60-100, 100-200 cm) at 5 km spatial grids. Across CONUS, there is a strong spatial dependence of soil N, where soil N concentrations decrease but uncertainty increases with soil depth. Soil N was higher in Pacific Northwest, Northeast, and Great Lakes National Ecological Observatory Network (NEON) ecoclimatic domains. Model uncertainty was higher in Atlantic Neotropical, Southern Rockies/Colorado Plateau and Southeast NEON domains. We also compared our soil N predictions with satellite-derived gross primary production (GPP) and forest biomass from the National Biomass and Carbon Dataset. Finally, we used uncertainty information to propose optimized locations for designing future soil surveys and found that the Atlantic Neotropical, Pacific Northwest, Pacific Southwest, and Appalachian/Cumberland Plateau NEON domains may require larger survey efforts. We highlight the need to increase knowledge of biophysical factors regulating soil processes at deeper depths to better characterize the three-dimensional space of soils. Our results provide a national benchmark regarding the spatial variability and uncertainty of soil N and reveal areas in need of a better representation.<br>This dataset includes all covariates used for modeling soil Nitrogen, the training data, and the modeling output. The output represents raster files at 5km resolution of soil N at different depths and associated model uncertainty.<br>Main reference:Smith EM, Guevara M, Tarin T, Pouyat R, Vargas R. Spatial variability and uncertainty of soil nitrogen across the conterminous United States (in review). Ecosphere.
DOI: 10.5281/zenodo.6397517
title: ESMARConf2022 evaluation responses and interaction statistics

description: Responses to the ESMARConf2022 post-event evaluation for participants and presenters, statistics for the ESMARConf website (https://esmarconf.github.io), and YouTube channel viewing data for ESMARConf2021.
DOI: 10.5281/zenodo.6397479
title: ESMARConf2022 evaluation responses and interaction statistics

description: Responses to the ESMARConf2022 post-event evaluation for participants and presenters, statistics for the ESMARConf website (https://esmarconf.github.io), and YouTube channel viewing data for ESMARConf2021.
DOI: 10.5281/zenodo.6397524
title: Bacterial Symbionts in Ceratitis capitata

description: data set
DOI: 10.5281/zenodo.6397523
title: Bacterial Symbionts in Ceratitis capitata

description: data set
DOI: 10.5519/qd.qs4tgrfp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4743882
title: Deutsch V3 Diachron. Hauptsätze mit mehrfacher Vorfeldbesetzung in der Geschichte des Deutschen

description: <strong>The DV3D dataset</strong> The DV3D dataset contains data collected within the DFG project "Lizenzierungsbedingungen für deutsche Verb-Dritt-Sätze in der Diachronie" (Licensing conditions for German verb third clauses in diachrony), project number 76919537, period 11/2017 to 10/2020. The DV3D dataset contains a total of 889 multi-layer annotations in EXMARaLDA format (exb), 696 from Old High German, 70 from Middle High German, and 123 from Early New High German.<br> In addition, the archive contains five prepared ANNIS databases. While one ANNIS database was prepared for each of the Middle and Early High German data, the Old High German data sets are divided into three databases: one each for diagnostic V3 and VL sentences, and one for structurally ambiguous sentences lacking diagnostic elements for unambiguous identification of verb position. For more information on this, consult the project documentation.
DOI: 10.5281/zenodo.4743881
title: Deutsch V3 Diachron. Hauptsätze mit mehrfacher Vorfeldbesetzung in der Geschichte des Deutschen

description: <strong>The DV3D dataset</strong> The DV3D dataset contains data collected within the DFG project "Lizenzierungsbedingungen für deutsche Verb-Dritt-Sätze in der Diachronie" (Licensing conditions for German verb third clauses in diachrony), project number 76919537, period 11/2017 to 10/2020. The DV3D dataset contains a total of 889 multi-layer annotations in EXMARaLDA format (exb), 696 from Old High German, 70 from Middle High German, and 123 from Early New High German.<br> In addition, the archive contains five prepared ANNIS databases. While one ANNIS database was prepared for each of the Middle and Early High German data, the Old High German data sets are divided into three databases: one each for diagnostic V3 and VL sentences, and one for structurally ambiguous sentences lacking diagnostic elements for unambiguous identification of verb position. For more information on this, consult the project documentation.
DOI: 10.6084/m9.figshare.16725745
title: Benchmark datasets of US-align

description: MMalign_dataset : 200 dimers, 200 trimers, 200 tetramers, 129 pentamers, 200 hexamers, 60 heptamers and 134 octamers for protein oligomer structure alignment.<br>RNAalign_dataset : 637 chains for monomeric RNA structure alignment.<br>TMalign_dataset : 1000 SCOPe domains for monomeric protein structure alignment.<br>TMdock_dataset : 439 protein-RNA complex structures for protein-RNA docking.<br>mTMalign_dataset : 31 groups of RNAs for multiple structure alignment.
DOI: 10.6084/m9.figshare.16725745.v1
title: Benchmark datasets of US-align

description: MMalign_dataset : 200 dimers, 200 trimers, 200 tetramers, 129 pentamers, 200 hexamers, 60 heptamers and 134 octamers for protein oligomer structure alignment.<br>RNAalign_dataset : 637 chains for monomeric RNA structure alignment.<br>TMalign_dataset : 1000 SCOPe domains for monomeric protein structure alignment.<br>TMdock_dataset : 439 protein-RNA complex structures for protein-RNA docking.<br>mTMalign_dataset : 31 groups of RNAs for multiple structure alignment.
DOI: 10.15139/s3/8wz43i
title: CRT-A Hockey Data

description: CRT-A and Hockey Data
DOI: 10.34740/kaggle/dsv/3382435
title: SVDE2LoCBF
DOI: 10.15139/s3/9mqjxs
title: WTTL Public Data

description: WTTL Public Data
DOI: 10.5281/zenodo.6352550
title: Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2

description: Single-cell extracted imaging features created in project "Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2". The dataset includes train (with annotations) and test features used in the manuscript. Four SARS-CoV-2 antigens (S, N, R, M) were imaged separately with serum samples presenting IgG, IgA and IgM antibodies.
DOI: 10.5281/zenodo.6352549
title: Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2

description: Single-cell extracted imaging features created in project "Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2". The dataset includes train (with annotations) and test features used in the manuscript. Four SARS-CoV-2 antigens (S, N, R, M) were imaged separately with serum samples presenting IgG, IgA and IgM antibodies.
DOI: 10.5281/zenodo.6397557
title: Racemic crystal structures of A-DNA duplexes

description: X-ray diffraction data collected for d/l-d(CCCGGG) crystals at IECB, using a microfocus rotating anode Rigaku FRX diffractometer, with Cu Kα radiation and a hybrid pixel detector (Dectris Pilatus 200K). PDB ID: 6GN3 PDB Title: Racemic crystal structure of A-DNA duplex formed from d(CCCGGG) in space group P21/n PDB DOI: http://doi.org/10.2210/pdb6GN3/pdb
DOI: 10.5281/zenodo.6397556
title: Racemic crystal structures of A-DNA duplexes

description: X-ray diffraction data collected for d/l-d(CCCGGG) crystals at IECB, using a microfocus rotating anode Rigaku FRX diffractometer, with Cu Kα radiation and a hybrid pixel detector (Dectris Pilatus 200K). PDB ID: 6GN3 PDB Title: Racemic crystal structure of A-DNA duplex formed from d(CCCGGG) in space group P21/n PDB DOI: http://doi.org/10.2210/pdb6GN3/pdb
DOI: 10.5517/ccdc.csd.cc27k577
title: CCDC 2072078: Experimental Crystal Structure Determination

description: Related Article: Alexander Angeloski, Jason R. Price, Courtney Ennis, Kate Smith, Andrew M. McDonagh, Annette Dowd, Paul Thomas, Michael Cortie, Dominique Appadoo, Mohan Bhadbhade|2022|Cryst.Growth Des.|22|1951|doi:10.1021/acs.cgd.1c01495
DOI: 10.5517/ccdc.csd.cc27k588
title: CCDC 2072079: Experimental Crystal Structure Determination

description: Related Article: Alexander Angeloski, Jason R. Price, Courtney Ennis, Kate Smith, Andrew M. McDonagh, Annette Dowd, Paul Thomas, Michael Cortie, Dominique Appadoo, Mohan Bhadbhade|2022|Cryst.Growth Des.|22|1951|doi:10.1021/acs.cgd.1c01495
DOI: 10.5517/ccdc.csd.cc27k599
title: CCDC 2072080: Experimental Crystal Structure Determination

description: Related Article: Alexander Angeloski, Jason R. Price, Courtney Ennis, Kate Smith, Andrew M. McDonagh, Annette Dowd, Paul Thomas, Michael Cortie, Dominique Appadoo, Mohan Bhadbhade|2022|Cryst.Growth Des.|22|1951|doi:10.1021/acs.cgd.1c01495
DOI: 10.6084/m9.figshare.19394063.v1
title: Interacting pest control and pollination services in coffee systems data base

description: Files in this data set contains data related to the manuscript Interacting pest control and pollination services in coffee systems by Martínez-Salinas et al. (2022) accepted for publication in PNAS (https://doi.org/10.1073/pnas.2119959119).<br>In this study we assessed the interactions of pollination and pest control, via a factorial field experiment in 30 Costa Rican coffee farms. The effect of bird and bee exclosures on coffee productivity was assessed through the calculation of fruit set, fruit weight and proportion of bored fruits. <br><br>More detail on methods can be found in the attached Word file "data set description".<br>For more information please do not hesitate to contact authors Alejandra Martínez-Salinas (amartinez@catie.ac.cr) or Adina Chain-Guadarrama (achain@catie.ac.cr).<br>
DOI: 10.6084/m9.figshare.19394063.v2
title: Interacting pest control and pollination services in coffee systems data base

description: Files in this data set contains data related to the manuscript <i>Interacting pest control and pollination services in coffee systems </i>by Martínez-Salinas et al. (2022) accepted for publication in PNAS (https://doi.org/10.1073/pnas.2119959119).<br>In this study we assessed the interaction of two ecosystem services for agriculture: pollination and pest control, via a factorial field experiment in 30 Costa Rican coffee farms. We evaluated the effect of pollination and pest control services on coffee productivity (i.e., fruit set, fruit weight and proportion of bored fruits) through bird and bee exclosure experiments.<br><br>More detail on methods can be found in the attached Word file "00 data set description".<br>For more information please do not hesitate to contact authors Alejandra Martínez-Salinas (amartinez@catie.ac.cr) or Adina Chain-Guadarrama (achain@catie.ac.cr).<br>
DOI: 10.5281/zenodo.5410929
title: Dataset intentions

description: This dataset includes information about the Spanish tourists’ demographic characteristics and their intentions to travel to zones with a low impact of the COVID-19 pandemic. The dataset also includes information about the risk perception of tourists about the COVID-19.
DOI: 10.5281/zenodo.5410928
title: Dataset intentions

description: This dataset includes information about the Spanish tourists’ demographic characteristics and their intentions to travel to zones with a low impact of the COVID-19 pandemic. The dataset also includes information about the risk perception of tourists about the COVID-19.
DOI: 10.25345/c5rj48z64
title: MassIVE MSV000089160 - MAG exposure in neuronal tissue alters the secretion of proteins involved in CNS plasticity
title: Myelin-associated glycoprotein (MAG) is a potent inhibitor of neurite growth in the central nervous system. Label free LC-MS2 quantitation was performed on the secretome from three samples of rat neuronal tissue in two states: control, and exposed to MAG. Differential analysis of conditioned media revealed that MAG exposure up-regulates LTBP3, LTBP4, S100A6, septin-7 and neurofascin 186, while down-regulating frataxin, MAP6, syntenin-1 and GAP-43. When combined with other results from this study, these findings confirm that MAG induces secretion of transforming growth factor beta, which increases the expression of chondroitin sulfate proteoglycans after spinal cord injury. They also demonstrate that MAG has a generalized effect on the secretion of proteins that affect CNS plasticity - increasing the secretion of growth-inhibiting proteins, while suppressing the secretion of proteins that promote axonal growth. These are new insights into the mechanisms underlying MAG's ability to inhibit axonal regeneration.
DOI: 10.6084/m9.figshare.19394063
title: Interacting pest control and pollination services in coffee systems data base

description: Files in this data set contains data related to the manuscript <i>Interacting pest control and pollination services in coffee systems </i>by Martínez-Salinas et al. (2022) accepted for publication in PNAS (https://doi.org/10.1073/pnas.2119959119).<br>In this study we assessed the interaction of two ecosystem services for agriculture: pollination and pest control, via a factorial field experiment in 30 Costa Rican coffee farms. We evaluated the effect of pollination and pest control services on coffee productivity (i.e., fruit set, fruit weight and proportion of bored fruits) through bird and bee exclosure experiments.<br><br>More detail on methods can be found in the attached Word file "00 data set description".<br>For more information please do not hesitate to contact authors Alejandra Martínez-Salinas (amartinez@catie.ac.cr) or Adina Chain-Guadarrama (achain@catie.ac.cr).<br>
DOI: 10.6084/m9.figshare.19394063.v3
title: Interacting pest control and pollination services in coffee systems data base

description: Files in this data set contains data related to the manuscript <i>Interacting pest control and pollination services in coffee systems </i>by Martínez-Salinas et al. (2022) accepted for publication in PNAS (https://doi.org/10.1073/pnas.2119959119).<br>In this study we assessed the interaction of two ecosystem services for agriculture: pollination and pest control, via a factorial field experiment in 30 Costa Rican coffee farms. We evaluated the effect of pollination and pest control services on coffee productivity (i.e., fruit set, fruit weight and proportion of bored fruits) through bird and bee exclosure experiments.<br><br>More detail on methods can be found in the attached Word file "00 data set description".<br>For more information please do not hesitate to contact authors Alejandra Martínez-Salinas (amartinez@catie.ac.cr) or Adina Chain-Guadarrama (achain@catie.ac.cr).<br>
DOI: 10.3886/e166321v1
title: Resilience of Individuals Living with Sickle Cell Disease during the COVID-19 Pandemic

description: This project studied 97 adults living with sickle cell disease (SCD) in the US. Data was merged from two parent studies (INSIGHTS Study NCT02156102; Living with SCD in the COVID-19 Pandemic Study NCT04417673) in order to focus on changes over time in resilience, perceived stress, emotional distress, and physical and mental health. Results showed that the psychological resilience of our study cohort had significantly decreased (0.19, p=0.01) over time. Resilience during the pandemic was associated with better mental health and physical health and lower perceived stress and emotional distress.
description: Presence of Common Scales: Brief Resilience Scale<br>Cohen Perceived Stress<br>ASCQ-Me Emotional Impact Subscale<br>PROMIS Global Mental and Physical Health Scales
DOI: 10.25390/caryinstitute.8120816.v2
title: Cary Environmental Monitoring Program Precipitation Chemistry Event-Based Data: 1984-2020

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, water pollution and streamwater hydrology. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2019 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.
DOI: 10.5281/zenodo.6397679
title: Supplementary Information: On the Role of Dielectric Screening in Calculating Excited States of Solvated Azobenzene: A Benchmark Study Comparing Quantum Embedding and Polarizable Continuum Model for Representing the Solvent

description: Link to Gitlab repo: https://gitlab.com/jezsmartinez/azobencene_ep/-/tree/main
DOI: 10.5281/zenodo.6397678
title: Supplementary Information: On the Role of Dielectric Screening in Calculating Excited States of Solvated Azobenzene: A Benchmark Study Comparing Quantum Embedding and Polarizable Continuum Model for Representing the Solvent

description: Link to Gitlab repo: https://gitlab.com/jezsmartinez/azobencene_ep/-/tree/main
DOI: 10.5281/zenodo.6397639
title: ANI-1 dataset with added atomic volume ratios restricted to CHNO atoms for DNN-MBD

description: ANI-1 dataset with added atomic volume ratios restricted to CHNO atoms for DNN-MBD
DOI: 10.5281/zenodo.6397638
title: ANI-1 dataset with added atomic volume ratios restricted to CHNO atoms for DNN-MBD

description: ANI-1 dataset with added atomic volume ratios restricted to CHNO atoms for DNN-MBD
DOI: 10.6084/m9.figshare.19467269
title: Finger Joints Angles ARAT

description: Finger Joints Angles during the performance of the ARAT<br>
DOI: 10.25345/c5ms3k52d
title: MassIVE MSV000089161 - Gut microbiota metabolites present in pregnant and breastfeeding period Women
title: Human gut microbiota metabolites associated with pregnancy and lactation stages.
DOI: 10.25500/edata.bham.00000817
title: CORTEX Automotive Radar and Video with GPS/IMU Ground Truth Dataset from Trials at MIRA Test Track - Run7
DOI: 10.5281/zenodo.6397691
title: Supplementary Tables S1 and S2 - Wild bird densities and landscape variables predict spatial patterns in HPAI outbreak risk across the Netherlands

description: Table S1: Overview of candidate variables in order of (Rank) decreasing feature importance, including a selection of high risk bird species for HPAIV infection and land cover variables. Table S2: Aggregation of land cover classes to 5 major classes used in the random forest algorithms.
DOI: 10.5281/zenodo.6397690
title: Supplementary Tables S1 and S2 - Wild bird densities and landscape variables predict spatial patterns in HPAI outbreak risk across the Netherlands

description: Table S1: Overview of candidate variables in order of (Rank) decreasing feature importance, including a selection of high risk bird species for HPAIV infection and land cover variables. Table S2: Aggregation of land cover classes to 5 major classes used in the random forest algorithms.
DOI: 10.25921/avah-yg59
title: EK60 Water Column Sonar Data Collected During PC2104
DOI: 10.5281/zenodo.6349951
title: Datensatz Sprachsensibler Geographieunterricht (Gesamtstichprobe)

description: Bei diesem Datenset handelt es sich um die quantitativen Rohdaten der Gesamtstichprobe (Designzyklus I und II) des Forschungsprojekts "Sprachsensibler Geographieunterricht".
DOI: 10.5281/zenodo.6349950
title: Datensatz Sprachsensibler Geographieunterricht (Gesamtstichprobe)

description: Bei diesem Datenset handelt es sich um die quantitativen Rohdaten der Gesamtstichprobe (Designzyklus I und II) des Forschungsprojekts "Sprachsensibler Geographieunterricht".
DOI: 10.6084/m9.figshare.19467359
title: Covid-19_study_data.sav

description: The data was collected in the first wave of the C-19 pandemic and involves demographics, as well as a measure of anxiety and questions regarding changes in music listening.
DOI: 10.6084/m9.figshare.19467359.v1
title: Covid-19_study_data.sav

description: The data was collected in the first wave of the C-19 pandemic and involves demographics, as well as a measure of anxiety and questions regarding changes in music listening.
DOI: 10.6084/m9.figshare.19467390
title: Annual pup production, fecundity and phenology of breeding in Australian fur seals at Kanowna Island, northern Bass Strait, in relation to environmental variables from Environmental influences on breeding biology and pup production in Australian fur seals

description: Pupping parameters in Australian fur seals