cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6480164
title: Training and validation datasets for "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network"

description: This is training and validation datasets used in manuscript "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network". In this manuscript, we propose an efficient deep learning method using a Convolutional Neural Network (CNN) to predict a scalar field from sparse structural data associated with multiple distinct stratigraphic layers and faults. The CNN architecture is beneficial for the flexible incorporation of empirical geological knowledge when trained with numerous and realistic structural models that are automatically generated from a data simulation workflow. It also presents an expressive characteristic of integrating various types of structural constraints by optimally minimizing a hybrid loss function to compare predicted and reference structural models, opening new opportunities for further improving geological modeling.
DOI: 10.5281/zenodo.6480874
title: Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview"

description: Dataset of Paper "Microplastics in fresh- and wastewater are potential contributors to antibiotic resistance - A minireview" Table 2. Reported abundance and characteristics of MPs in freshwater and wastewater in literature. Table 3. Abundance and characteristics of antibiotic resistant elements in freshwater and wastewater.
DOI: 10.6084/m9.figshare.19130276
title: Avena longiglumis gff

description: Avena longiglumis annotation
DOI: 10.6084/m9.figshare.19130276.v1
title: Avena longiglumis gff

description: Avena longiglumis annotation
DOI: 10.34740/kaggle/dsv/3518873
title: AutoXGB
DOI: 10.3886/icpsr36812.v3
title: Newly Licensed Registered Nurse Survey, 2007
title: Version 3

description: This is the second wave of a multi wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey interviewed the nurses about their jobs, turnover, intentions and attitudes--including intent, satisfaction, organizational commitment, and preferences about work.
description: Response Rates: 71 percent of the nurses who responded in wave 1 also responded in wave 2.
description: The wave 2 survey attempted to interview all of the nurses who responded in wave 1. The wave 1 respondents were selected using a random stratified cluster design which mirrored the sampling design of the Community Tracking Study (ICPSR 2524, 2597, 3199, 3267, 3764, 3820, 4216 and 4584). The baseline sample was nested in the 60 CTS sites (51 Metropolitan Statistical Areas and nine groups of non-MSA counties in 35 states across the contiguous United States) and was designed to select nurses with equal probabilities of selection across the sites.
description: Datasets: DS1: Newly Licensed Registered Nurse Survey, 2007
description: Nurses who responded to the first wave of the survey: Newly Licensed Registered Nurses, 2006 (ICPSR 36773). The first wave interviewed nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005.
description: mail questionnaireAdditional information about the survey is available on the RN Work Project website.The record layout file and SPSS setup apply to both the public- and restricted-use plain text versions of the data file.The data files, setup and record layout file are encoded with the UTF-8 character encoding standard.The data file can be merged with the other waves of the Newly Licensed Registered Nurse Survey (e.g., ICPSR 36773) by matching on the common ID variables idnumber or ICPSR_RANDOM_ID.
DOI: 10.3886/icpsr36813.v2
title: Newly Licensed Registered Nurse Survey, 2009
title: Version 2

description: This is the third wave of a multi wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey interviewed the nurses about their jobs, turnover, intentions and attitudes--including intent, satisfaction, organizational commitment, and preferences about work.
description: Response Rates: 68 percent of the nurses who responded in wave 1 and 2 also responded in wave 3.
description: The wave 3 survey attempted to interview all of the nurses who responded in wave 1. The wave 1 respondents were selected using a random stratified cluster design which mirrored the sampling design of the Community Tracking Study (ICPSR 2524, 2597, 3199, 3267, 3764, 3820, 4216 and 4584). The baseline sample was nested in the 60 CTS sites (51 Metropolitan Statistical Areas and nine groups of non-MSA counties in 35 states across the contiguous United States) and was designed to select nurses with equal probabilities of selection across the sites.
description: Datasets: DS1: Newly Licensed Registered Nurse Survey, 2009
description: Nurses who responded to the first wave survey: Newly Licensed Registered Nurses, 2006 (ICPSR 36773). The first wave interviewed nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005.
description: mail questionnaireAdditional information about the survey is available on the RN Work Project website.The record layout file and SPSS setup apply to both the public- and restricted-use plain text versions of the data file.The data files, setup and record layout file are encoded with the UTF-8 character encoding standard.The data file can be merged with the other waves of the Newly Licensed Registered Nurse Survey (e.g., ICPSR 36773 and 36812) by matching on the common ID variables idnumber or ICPSR_RANDOM_ID.
DOI: 10.34740/kaggle/dsv/3518867
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.21227/bnwk-hy87
title: Context-guided Ground Truth Sampling for Multi-Modality Data Augmentation in Autonomous Driving

description: Data augmentation has been widely adopted for object detection in 2D image and 3D point clouds. However, existing multimodal data augmentation is only a brief reference to single-modal work, and the challenge is to ensure the consistency and rationality of the augmented image and point cloud simultaneously. We propose a novel multimodal data augmentation method based on ground truth sampling (GT sampling) for generating content-rich synthetic scenes.  We first built a GT database and a scene ground database based on the raw training set, then used the context of the image and point cloud to guide the paste location and filtering strategy of the samples. We demonstrate the effectiveness of this multimodal 3D object detector training strategy on the publicly available KITTI dataset. Our experiments evaluated different superimposition strategies ranging from context-free GT sampling in raw scenes, all the way to context-guided semantics informed positioning and filtering in new training scenes. Our method outperforms existing GT sampling methods with more than 15% relative performance improvement on benchmark datasets. In ablation studies, our sample pasting strategy brings +2.81% gain compared to previous work, the superior performance demonstrates that the multimodal context of modeled objects is crucial for placing them in the correct environment.
DOI: 10.6084/m9.figshare.19642362.v1
title: A new 2010 permafrost distribution map over the Qinghai-Tibet Plateau based on subregion survey maps: a benchmark for regional permafrost modelling

description: This dataset contains a new 2010 permafrost distribution map over the Qinghai-Tibet Plateau and the relevant data used in the mapping. All data are provided as GeoTIFF(.tif) files. <br> <br> 1. "permafrost_distribution_map_2010_QTP.tif" is the permafrost distribution map. 2. "soil_cluster_QTP.tif" is the spatial distribution of the eight soil clusters on the Qinghai-Tibet Plateau. 3. "DDT_mean_annual" is the thawing index on the Qinghai-Tibet Plateau averaged from 2005 to 2010. 4. "DDT_mean_annual" is the freezing index on the Qinghai-Tibet Plateau averaged from 2005 to 2010. <br>
DOI: 10.6084/m9.figshare.13669885
title: Cao et al. 2021 Remote Sensing article data

description: This dataset provides the newly generated data associated with the article: Cao, Z.; Gao, H.; Nan, Z.*; Zhao, Y.; Yin, Z. A Semi-physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China. Remote Sens. 2021.Three data are contained:• "ATI" is the apparent thermal inertia (ATI) estimated using MODIS LST and reflectance products over the Baoba River basin from April to November 2015; file names follow the convention "ATI2015XXX.tif", where "XXX" represents the day of year.• "DownsacledSM.gdb" is a geodatabase created by ArcGIS 10.7, which includes the downscaled 1km-resolution SMAP soil moisture from April to November 2015. Each raster file within the geodatabase is named with "SMAPDXXX", where "XXX" represents the day of year.• "QuantileMapping" includes the uncorrected downscaled SM and the one corrected by quantile mapping method at four WATERNET sites (IDs: 02, 11, 12, and 42) where large systematic errors exist between original SMAP data and the in-situ observation 4cm SM data. They are used in Figure 12 in the article.Point of Contact:Zhuotong Nan (giscn@msn.com)https://permalab.nanzt.info/
DOI: 10.6084/m9.figshare.13669885.v3
title: Cao et al. 2021 Remote Sensing article data

description: This dataset provides the newly generated data associated with the article: Cao, Z.; Gao, H.; Nan, Z.*; Zhao, Y.; Yin, Z. A Semi-physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China. Remote Sens. 2021.Three data are contained:• "ATI" is the apparent thermal inertia (ATI) estimated using MODIS LST and reflectance products over the Baoba River basin from April to November 2015; file names follow the convention "ATI2015XXX.tif", where "XXX" represents the day of year.• "DownsacledSM.gdb" is a geodatabase created by ArcGIS 10.7, which includes the downscaled 1km-resolution SMAP soil moisture from April to November 2015. Each raster file within the geodatabase is named with "SMAPDXXX", where "XXX" represents the day of year.• "QuantileMapping" includes the uncorrected downscaled SM and the one corrected by quantile mapping method at four WATERNET sites (IDs: 02, 11, 12, and 42) where large systematic errors exist between original SMAP data and the in-situ observation 4cm SM data. They are used in Figure 12 in the article.Point of Contact:Zhuotong Nan (giscn@msn.com)https://permalab.nanzt.info/
DOI: 10.6084/m9.figshare.13669885.v2
title: Cao et al. 2021 Remote Sensing article data

description: This dataset provides the newly generated data associated with the article: Cao, Z.; Gao, H.; Nan, Z.*; Zhao, Y.; Yin, Z. A Semi-physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China. Remote Sens. 2021.Three data are contained:• "ATI" is the apparent thermal inertia (ATI) estimated using MODIS LST and reflectance products over the Baoba River basin from April to November 2015; file names follow the convention "ATI2015XXX.tif", where "XXX" represents the day of year.• "DownsacledSM.gdb" is a geodatabase created by ArcGIS 10.7, which includes the downscaled 1km-resolution SMAP soil moisture from April to November 2015. Each raster file within the geodatabase is named with "SMAPDXXX", where "XXX" represents the day of year.• "QuantileMapping" includes the uncorrected downscaled SM and the one corrected by quantile mapping method at four WATERNET sites (IDs: 02, 11, 12, and 42) where large systematic errors exist between original SMAP data and the in-situ observation 4cm SM data. They are used in Figure 12 in the article.Point of Contact:Zhuotong Nan (giscn@msn.com)https://permalab.nanzt.info/
DOI: 10.25345/c5154ds7q
title: MassIVE MSV000089302 - In vitro Histone modification detected by mass spectrometry
title: Smyd5 is used to catalyze the methylation of histone octamers.
DOI: 10.5519/qd.u6jvbnfx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2301 records)
DOI: 10.6084/m9.figshare.20822250
title: Scaled Torus Principal Component Analysis

description: A particularly challenging context for dimensionality reduction is multivariate circular data, that is, data supported on a torus. Such kind of data appears, for example, in the analysis of various phenomena in environmental sciences and astronomy, as well as in molecular structures. This article introduces Scaled Torus Principal Component Analysis (ST-PCA), a novel approach to perform dimensionality reduction with toroidal data. ST-PCA finds a data-driven map from a torus to a sphere of the same dimension and a certain radius. The map is constructed with multidimensional scaling to minimize the discrepancy between pairwise geodesic distances in both spaces. ST-PCA then resorts to principal nested spheres to obtain a nested sequence of subspheres that best fits the data, which can afterwards be inverted back to the torus. Numerical experiments illustrate how ST-PCA can be used to achieve meaningful dimensionality reduction on low-dimensional torii, particularly with the purpose of clusters separation, while two data applications in astronomy (on a three-dimensional torus) and molecular biology (seven-dimensional torus) show that ST-PCA outperforms existing methods for the investigated datasets. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20822250.v1
title: Scaled Torus Principal Component Analysis

description: A particularly challenging context for dimensionality reduction is multivariate circular data, that is, data supported on a torus. Such kind of data appears, for example, in the analysis of various phenomena in environmental sciences and astronomy, as well as in molecular structures. This article introduces Scaled Torus Principal Component Analysis (ST-PCA), a novel approach to perform dimensionality reduction with toroidal data. ST-PCA finds a data-driven map from a torus to a sphere of the same dimension and a certain radius. The map is constructed with multidimensional scaling to minimize the discrepancy between pairwise geodesic distances in both spaces. ST-PCA then resorts to principal nested spheres to obtain a nested sequence of subspheres that best fits the data, which can afterwards be inverted back to the torus. Numerical experiments illustrate how ST-PCA can be used to achieve meaningful dimensionality reduction on low-dimensional torii, particularly with the purpose of clusters separation, while two data applications in astronomy (on a three-dimensional torus) and molecular biology (seven-dimensional torus) show that ST-PCA outperforms existing methods for the investigated datasets. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.7199829
title: Data and movies for "Flow of the normal component of He II about bluff objects as recorded by 〖He〗_2^* excimers"

description: The directory is subdivided for the cylinder and flat plate bluff objects. Each subdirectory is further subdivided into data and movie subdirectories. "Data" consists of raw data collected from the camera. In the data directory is a listing of the filename with the power applied to the heater. Filenames of background data are also listed. "Movie" consists of frames integrated over 0.5 second intervals (28 frames). The movies include only excimer peaks for which the intensity of the peak is &gt;3 sigma (~45). Where sigma is the standard deviation of the per frame background. A basic Jupiter Notebook is included in the top-level directory. This notebook (and the python code used by the notebook) will allow a user to upload a data file and a background file, subtract the background and place the net result into a NumPy array with dimensions of 256 x 256 x 1500, which represent the 2 directions in position and time in seconds.
DOI: 10.5281/zenodo.7199828
title: Data and movies for "Flow of the normal component of He II about bluff objects as recorded by 〖He〗_2^* excimers"

description: The directory is subdivided for the cylinder and flat plate bluff objects. Each subdirectory is further subdivided into data and movie subdirectories. "Data" consists of raw data collected from the camera. In the data directory is a listing of the filename with the power applied to the heater. Filenames of background data are also listed. "Movie" consists of frames integrated over 0.5 second intervals (28 frames). The movies include only excimer peaks for which the intensity of the peak is &gt;3 sigma (~45). Where sigma is the standard deviation of the per frame background. A basic Jupiter Notebook is included in the top-level directory. This notebook (and the python code used by the notebook) will allow a user to upload a data file and a background file, subtract the background and place the net result into a NumPy array with dimensions of 256 x 256 x 1500, which represent the 2 directions in position and time in seconds.
DOI: 10.26300/qkx1-a144
title: Analysis code from "More Condomless Sex Predicts Less Favorable Condom Attitudes Among YMSM Prescribed PrEP"
DOI: 10.5281/zenodo.7199823
title: threskiornis_aethiopicus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7199822
title: threskiornis_aethiopicus_zanfona_1.fasta.gz

description: .
DOI: 10.25625/9vicjp
title: Historical Price Data: DCT

description: While I usually focus on micro cap stocks I’m bullish on this company Duck Creek Technologies. Ticker $DCT. Given the 5-year chart a correction is occurring in the stock price. My buy call on it is around $26.50. It’s currently $30, despite the 7.5% increase in short float volumted reported by short interest API. I like their product-market fit and revenue growth. Duck Creek Technologies, Inc. provides software-as-a-service core systems to the property and casualty insurance industry in the United States and internationally. Their Q4 Earnings were not as bad as some made them out to be. Expected to earn $0.02 per share, pro forma, on sales of $69.1 million, Duck Creek turned in a $0.02 per share profit on sales of $70.8 million -- not a huge earnings beat, but a beat nonetheless. Recurring revenue at the software provider increased 41%, and subscription revenue grew 35%. Total sales for the quarter were up 21%. This is still a fastly accelerating company. The company provides Duck Creek Policy, a solution that enables insurers to develop and launch new insurance products and manage various aspects of policy administration ranging from product definition to quoting, binding, and servicing. I like the industry they are in very much and in a correction I’m quite confidence this is a decent long-term investment (not necessarily a swing). Their market cap is about $4 Billion. They are practically unknown on Stocktwits. This is always a good thing, as you can get the stock at undervalued levels more easily with social amplification tampering with the intrinsic value too much. There’s more short-term pain however for this company which means the stock will go down for a while. Duck Creek's guidance for the first quarter of fiscal 2022, and for the year as a whole, was pretty weak. For the year's first quarter, Duck Creek predicted revenue ranging from $68 million to $70 million, which at the midpoint would just barely surpass Wall Street's predicted $68.7 million. This is why my buy call is much lower then even current levels which have been in correction territory. In a note on October 5th, 2022, RBC Capital warned that this implies a "meaningful" slowdown in the company's growth going forward, and J.P. Morgan downgraded the stock on the weak forecast, which it said no longer supports the company's "cloud and growth thesis." Still overall analysts remain bullish on this business model and company. So I advise you to add it to your watchlist and buy an entry position if it continues to correct into the $20s. Wishing you a great week guys and a productive weekend.
DOI: 10.5281/zenodo.7011360
title: Moral judgement in university students in Ica: a view from the perspective of L. Kohlberg

description: Objective: To identify and describe the stages of moral judgement in university students in the tenth cycle of Ica.<br> Method: The research methodology was descriptive-observational, quantitative and cross-sectional. The population consisted of university students in the tenth cycle and the sample consisted of 157 university students. A survey was used as a data collection tool and a questionnaire was used to measure the stages of moral judgement according to Lawrence Kholberg. <br> Results: It was concluded that 12.75% of the study sample was in the instructional relativism stage, 23.10% were in interpersonal agreement, 35.76% were in social order and authority, 11.95% were in social contract and finally 3.80% were in universal ethical principles.<br> Conclusion: Concluding and identifying that the stages of moral judgement among the study sample indicate that interpersonal agreement, social order and authority are the most developed among university students.
DOI: 10.5281/zenodo.7079660
title: Moral judgement in university students in Ica: a view from the perspective of L. Kohlberg

description: Objective: To identify and describe the stages of moral judgement in university students in the tenth cycle of Ica.<br> Method: The research methodology was descriptive-observational, quantitative and cross-sectional. The population consisted of university students in the tenth cycle and the sample consisted of 157 university students. A survey was used as a data collection tool and a questionnaire was used to measure the stages of moral judgement according to Lawrence Kholberg. <br> Results: It was concluded that 12.75% of the study sample was in the instructional relativism stage, 23.10% were in interpersonal agreement, 35.76% were in social order and authority, 11.95% were in social contract and finally 3.80% were in universal ethical principles.<br> Conclusion: Concluding and identifying that the stages of moral judgement among the study sample indicate that interpersonal agreement, social order and authority are the most developed among university students.
DOI: 10.5281/zenodo.7011359
title: Moral judgement in university students in Ica: a view from the perspective of L. Kohlberg

description: Objective: To identify and describe the stages of moral judgement in university students in the tenth cycle of Ica.<br> Method: The research methodology was descriptive-observational, quantitative and cross-sectional. The population consisted of university students in the tenth cycle and the sample consisted of 157 university students. A survey was used as a data collection tool and a questionnaire was used to measure the stages of moral judgement according to Lawrence Kholberg. <br> Results: It was concluded that 12.75% of the study sample was in the instructional relativism stage, 23.10% were in interpersonal agreement, 35.76% were in social order and authority, 11.95% were in social contract and finally 3.80% were in universal ethical principles.<br> Conclusion: Concluding and identifying that the stages of moral judgement among the study sample indicate that interpersonal agreement, social order and authority are the most developed among university students.