cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive114148.20221219.7.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114149.20220920.7
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114149.20221219.7.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive114150.20220920.7
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5519/qd.aj42evd4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (999421 records)
DOI: 10.14279/depositonce-16384
title: Characterization data of reference materials used for phase II of the priority program DFG SPP 3 2005 “Opus Fluidum Futurum – Rheology of reactive, multiscale, multiphase construction materials”

description: The authors gratefully acknowledge the financial support by the German Research Association (DFG), HeidelbergCement AG for their supply of the cement and the limestone powder and LIAPOR for the supply of the calcined clay.
description: In the mentioned document, the characterization data of the reference materials (CEM I 42.5 R, limestone powder, calcined clay and a mixture of these three components) used in the second funding phase of the priority program 2005 of the German Research Foundation (DFG SPP 2005) are presented under the aspects of chemical and mineralogical composition as well as physical and chemical properties. The data were collected based on tests performed by up to eleven research groups involved in this cooperative program. The file contains the results of the following measurements: Oxide composition; Phase contents; True density; Specific surface area (Blaine and BET); Particle size distribution and D-values; Water demand; Setting time; Mechanical strength; Isothermal calorimetry.
DOI: 10.6084/m9.figshare.20987258
title: Implicit Copula Variational Inference

description: Key to effective generic, or “black-box,” variational inference is the selection of an approximation to the target density that balances accuracy and speed. Copula models are promising options, but calibration of the approximation can be slow for some choices. Smith, Loaiza-Maya, and Nott (2020) suggest using tractable and scalable “implicit copula” models that are formed by element-wise transformation of the target parameters. We propose an adjustment to these transformations that make the approximation invariant to the scale and location of the target density. We also show how a sub-class of elliptical copulas have a generative representation that allows easy application of the re-parameterization trick and efficient first order optimization. We demonstrate the estimation methodology using two statistical models as examples. The first is a mixed effects logistic regression, and the second is a regularized correlation matrix. For the latter, standard Markov chain Monte Carlo estimation methods can be slow or difficult to implement, yet our proposed variational approach provides an effective and scalable estimator. We illustrate by estimating a regularized Gaussian copula model for income inequality in U.S. states between 1917 and 2018. An Online Appendix and MATLAB code to implement the method are available as supplementary materials.
DOI: 10.6084/m9.figshare.20987258.v2
title: Implicit Copula Variational Inference

description: Key to effective generic, or “black-box,” variational inference is the selection of an approximation to the target density that balances accuracy and speed. Copula models are promising options, but calibration of the approximation can be slow for some choices. Smith, Loaiza-Maya, and Nott (2020) suggest using tractable and scalable “implicit copula” models that are formed by element-wise transformation of the target parameters. We propose an adjustment to these transformations that make the approximation invariant to the scale and location of the target density. We also show how a sub-class of elliptical copulas have a generative representation that allows easy application of the re-parameterization trick and efficient first order optimization. We demonstrate the estimation methodology using two statistical models as examples. The first is a mixed effects logistic regression, and the second is a regularized correlation matrix. For the latter, standard Markov chain Monte Carlo estimation methods can be slow or difficult to implement, yet our proposed variational approach provides an effective and scalable estimator. We illustrate by estimating a regularized Gaussian copula model for income inequality in U.S. states between 1917 and 2018. An Online Appendix and MATLAB code to implement the method are available as supplementary materials.
DOI: 10.6084/m9.figshare.20987258.v1
title: Implicit copula variational inference

description: Key to effective generic, or “black-box”, variational inference is the selection of an approximation to the target density that balances accuracy and speed. Copula models are promising options, but calibration of the approximation can be slow for some choices. Smith et al. (2020) suggest using tractable and scalable “implicit copula” models that are formed by element-wise transformation of the target parameters. We propose an adjustment to these transformations that make the approximation invariant to the scale and location of the target density. We also show how a sub-class of elliptical copulas have a generative representation that allows easy application of the re-parameterization trick and efficient first order optimization. We demonstrate the estimation methodology using two statistical models as examples. The first is a mixed effects logistic regression, and the second is a regularized correlation matrix. For the latter, standard Markov chain Monte Carlo estimation methods can be slow or difficult to implement, yet our proposed variational approach provides an effective and scalable estimator. We illustrate by estimating a regularized Gaussian copula model for income inequality in U.S. states between 1917 and 2018. An Online Appendix and MATLAB code to implement the method are available as Supplementary Materials.
DOI: 10.5281/zenodo.7268809
title: Population structure in diverse pepper (Capsicum spp.) accessions

description: This data represents genotypes of a pepper diversity collection. Samples were sequenced using double-digest Genotyping-By-Sequencing (GBS) using Apek1 and Btg1 restriction enzymes. Fastq files were demultiplexed using Illumina bcl2fastq software (http://emea.support.illumina.com/downloads/bcl2fastq-conversion-software-v2-20.html). Trimmomatic was used to remove the first 12-bases (adapter sequences) from the beginning of each read (Bolger et al., 2014). Cleaned reads were aligned to the C. annuum reference genome (UCD-10X-F1; a cross between Criollos de Morelos 334 landrace and a non-pungent blocky pepper-breeding line; Hulse-Kemp et al. 2018) using BWA-mem (Li, 2013). Variants were called using Freebayes software to jointly call variants across all samples (Garrison & Marth, 2012). The initial VCF file was filtered using VCFtools to remove variants with minor allele frequency &lt; 1%, variants with genotype rates &lt; 95%, and samples with genotype rates &lt; 10%. This generated a total of 22,916 SNPs across the 12 chromosomes. Further a subset of the lines were phenotyped for vitamin content, we provide these phenotypes as well as a marker set of 2966 markers that can be used to explore them.
DOI: 10.5281/zenodo.7268808
title: Population structure in diverse pepper (Capsicum spp.) accessions

description: This data represents genotypes of a pepper diversity collection. Samples were sequenced using double-digest Genotyping-By-Sequencing (GBS) using Apek1 and Btg1 restriction enzymes. Fastq files were demultiplexed using Illumina bcl2fastq software (http://emea.support.illumina.com/downloads/bcl2fastq-conversion-software-v2-20.html). Trimmomatic was used to remove the first 12-bases (adapter sequences) from the beginning of each read (Bolger et al., 2014). Cleaned reads were aligned to the C. annuum reference genome (UCD-10X-F1; a cross between Criollos de Morelos 334 landrace and a non-pungent blocky pepper-breeding line; Hulse-Kemp et al. 2018) using BWA-mem (Li, 2013). Variants were called using Freebayes software to jointly call variants across all samples (Garrison & Marth, 2012). The initial VCF file was filtered using VCFtools to remove variants with minor allele frequency &lt; 1%, variants with genotype rates &lt; 95%, and samples with genotype rates &lt; 10%. This generated a total of 22,916 SNPs across the 12 chromosomes. Further a subset of the lines were phenotyped for vitamin content, we provide these phenotypes as well as a marker set of 2966 markers that can be used to explore them.
DOI: 10.5281/zenodo.7269120
title: Trojan Detection Challenge - Final Round Dataset

description: This contains the dataset for the Final Round of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the competition website.
DOI: 10.5281/zenodo.7269119
title: Trojan Detection Challenge - Final Round Dataset

description: This contains the dataset for the Final Round of the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the competition website.
DOI: 10.5281/zenodo.6894041
title: Trojan Detection Challenge Datasets

description: <strong>NOTE: To download test networks, please use the Zenodo records for the individual tracks linked to below. This Zenodo record only contains the training and validation networks.</strong> This contains the training and validation datasets for the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the competition website. For participants in the detection track who are downloading the updated validation set, you can redownload the full dataset here, or you can download the new files only from this Zenodo upload: https://zenodo.org/record/6899223. Participants in other tracks do not need to redownload the dataset. To download the datasets for individual tracks, please see the following Zenodo uploads. These include the test networks but are otherwise identical to the subfolders in this upload: Detection: https://zenodo.org/record/7059487 Target Label Prediction: https://zenodo.org/record/7063081 Trigger Synthesis: https://zenodo.org/record/7063103 Evasive Trojans: https://zenodo.org/record/7063166 The Final Round networks are not included in this record. They can be downloaded here: https://zenodo.org/record/7269120
DOI: 10.5281/zenodo.6812317
title: Trojan Detection Challenge Datasets

description: <strong>NOTE: To download test networks, please use the Zenodo records for the individual tracks linked to below. This Zenodo record only contains the training and validation networks.</strong> This contains the training and validation datasets for the Trojan Detection Challenge NeurIPS 2022 competition. To learn more, please see the competition website. For participants in the detection track who are downloading the updated validation set, you can redownload the full dataset here, or you can download the new files only from this Zenodo upload: https://zenodo.org/record/6899223. Participants in other tracks do not need to redownload the dataset. To download the datasets for individual tracks, please see the following Zenodo uploads. These include the test networks but are otherwise identical to the subfolders in this upload: Detection: https://zenodo.org/record/7059487 Target Label Prediction: https://zenodo.org/record/7063081 Trigger Synthesis: https://zenodo.org/record/7063103 Evasive Trojans: https://zenodo.org/record/7063166 The Final Round networks are not included in this record. They can be downloaded here: https://zenodo.org/record/7269120
DOI: 10.5281/zenodo.7035783
title: Catalog of P-wave secondary microseism events

description: Catalog of P-wave secondary microseism events
DOI: 10.5281/zenodo.7035782
title: Catalog of P-wave secondary microseisms events

description: Catalog of P-wave secondary microseisms events
DOI: 10.5281/zenodo.7269139
title: Catalog of P-wave secondary microseisms events

description: Catalog of P-wave secondary microseisms events
DOI: 10.6084/m9.figshare.21441282
title: Saline soil research based on GF-5, Sentinel-1, and Sentinel-2

description: This data is about the application of GF-5, Sentinel-1 , Sentinel-2 in soil salinization monitoring.
DOI: 10.6084/m9.figshare.21441282.v1
title: Saline soil research based on GF-5, Sentinel-1, and Sentinel-2

description: This data is about the application of GF-5, Sentinel-1 , Sentinel-2 in soil salinization monitoring.
DOI: 10.6084/m9.figshare.21441243
title: Data for UQoL Cau Giay paper.zip

description: This file is the data for the paper "Evaluating urban quality of life in relation with land price from viewpoint of Status-Quality Trade Off theory and ecosystem services". It is compressed in ZIP format and includes the following files: 1. Cau Giay ArcGIS geodatabase.mdb: an ArcGIS(TM) database containing all main data used for evaluating UQoL index of Cau Giay District, Hanoi City, Vietnam. 2. Field_survey_Questionnaire.doc: sample of survey questionaire about UQoL indicators and land price (in Vietnamese with some translation to English). 3. Air_Water Quality of Cau Giay district: data of air and water quality monitoring stations in Cau Giay District in 2018. 4. CauGiay_SPSS.sav: data for SPSS software. 5. Fig_4.png: Hi-res version of figure 4 in the paper (Spatial distribution of residential land price in Cau Giay District). 6. Fig_6.png: Hi-res version of figure 6 in the paper (Maps of UQoL index and dimension indexes in Cau Giay District).
DOI: 10.6084/m9.figshare.21441243.v1
title: Data for UQoL Cau Giay paper.zip

description: This file is the data for the paper "Evaluating urban quality of life in relation with land price from viewpoint of Status-Quality Trade Off theory and ecosystem services". It is compressed in ZIP format and includes the following files: 1. Cau Giay ArcGIS geodatabase.mdb: an ArcGIS(TM) database containing all main data used for evaluating UQoL index of Cau Giay District, Hanoi City, Vietnam. 2. Field_survey_Questionnaire.doc: sample of survey questionaire about UQoL indicators and land price (in Vietnamese with some translation to English). 3. Air_Water Quality of Cau Giay district: data of air and water quality monitoring stations in Cau Giay District in 2018. 4. CauGiay_SPSS.sav: data for SPSS software. 5. Fig_4.png: Hi-res version of figure 4 in the paper (Spatial distribution of residential land price in Cau Giay District). 6. Fig_6.png: Hi-res version of figure 6 in the paper (Maps of UQoL index and dimension indexes in Cau Giay District).
DOI: 10.25549/usctheses-ouc15672378
title: Sheila Hicks: weaving to the world
DOI: 10.34740/kaggle/dsv/4429427
title: Gender Representation in Video Games
DOI: 10.26180/21436017
title: tropical cyclone cloud labels in 2001-2020

description: tropical cyclone cloud labels in 2001-2020
DOI: 10.26180/21436017.v1
title: tropical cyclone cloud labels in 2001-2020

description: tropical cyclone cloud labels in 2001-2020
DOI: 10.34740/kaggle/dsv/4424101
title: Covid Numbers of KDMC
DOI: 10.34740/kaggle/dsv/4430015
title: BBC News
DOI: 10.34740/kaggle/dsv/4430029
title: OntoUML/UFO Catalog
DOI: 10.18112/openneuro.ds004320.v1.0.0
title: Monocular deprivation shifts ocular dominance in opposite directions in the human lateral geniculate nucleus and high-order visual cortex
DOI: 10.26190/unsworks/1987
title: Southeast Asia Tropical cyclone landfall database

description: This database includes four Tropical cyclone (TC) landfall datasets produced using the Regional Specialized Meteorological Center of Tokyo (TOKYO), China Meteorological Administration (CMA), Hong Kong Observatory (HKO), and Joint Typhoon Warning Center (JTWC) best track datasets. The database was used to investigate a 50-yr TC landfalling climatology in Southeast Asia (1970-2019). These datasets are at 30-min temporal and 0.25-degree spatial resolutions and stored in the Matlab ".m" file format. The column variable description of each dataset is as below. 1) id: Tropical cyclone identifier 2) name: Tropical cyclone name 3) syear: Forming year 4) obs: Time provided in Universal Time Coordinates (UTC). Format is YYYY-MM-DD_HH:mm:ss 5) lat: Latitude 6) lon: Longitude 7) v: Maximum wind speed (converted to 1-min wind speed in case the dataset is CMA, HKO, TOKYO) 8) hit_lat: Latitude of landfall 9) hit_lon: Longitude of landfall 10) hit_v: Intensity at landfall (defined by maximum wind speed converted to 1-min in case the dataset is CMA, HKO, TOKYO) 11) v_orig: Maximum wind speed provided by an agency 12) hit_v_orig: Intensity at landfall defined by maximum wind speed provided by an agency 13) hit_obs: Time of landfall 14) hit_times: Number of landfalls
description: To generate this database, the Natural Earth coastline dataset (1:50 million) was used to define the Southeast Asia coastline. A landfall time was recorded whenever a TC crossed from water to land and an individual TC can make landfall multiple times by crossing land back to ocean, then back onto land. A condition of “at least 50 km in distance” between two consecutive landfalls was applied to subtract unrealistically inflated landfalls caused by the zigzag pattern of the coastlines.
DOI: 10.5281/zenodo.7269223
title: PCM Material Cost

description: A compilation and archive of costs for near ambient temperature PCMs
DOI: 10.5281/zenodo.7269222
title: PCM Material Cost

description: A compilation and archive of costs for near ambient temperature PCMs
DOI: 10.5439/1840671
title: Balloon-Borne Sounding System (s1)

description: The balloon-borne sounding system (SONDE) provides in situ measurements (vertical profiles) of both the thermodynamic state of the atmosphere, and the wind speed and direction. Sonde operations can provide important constraints for model simulations if used during field campaigns where multiple stations are operated around a central location with baseline measurements, such as a mobile facility. When deployed, sondes are launched at scheduled intervals.
DOI: 10.5439/1863958
title: Radar Wind Profiler (a0)

description: The radar wind profiler/radio acoustic sounding system (RWP/RASS), available in 915-MHz (for U.S. deployments) and 1290-MHz (for foreign deployments), measures wind profiles and backscattered signal strength between (nominally) 0.1 km and 5 km and virtual temperature profiles between 0.1 km and 2.5 km. However, ARM no longer operates the RASS portion. The RWP transmits electromagnetic energy into the atmosphere in as many as five directions (four tilted in opposing vertical planes and on vertical) and measures the strength and frequency of backscattered energy. Calculation of the Doppler shift of the returned signal allows calculation of the atmospheric wind profile.
DOI: 10.7799/1895446
title: Community Solar Resource Database

description: NREL has updated a database of publicly available resources related to community solar in the U.S., including journal articles, reports, fact sheets, slides, videos, datasets, webinars, and other formats. This effort aims to compile resources that would benefit all partners interested in investigating the market status, data analysis, regulation, stakeholder engagement, and the best practices of community solar development.
DOI: 10.25549/usctheses-ouc110618314
title: The long road to revitalization
DOI: 10.25549/usctheses-ouc110618320
title: Chemical and biological studies of novel ligands of the human androgen receptor
DOI: 10.6084/m9.figshare.21260793
title: 16s rRNA data & HPLC-MS/MS data .zip

description: 1. 16S rRNA sequencing results of rat cecal contents 2. Blood concentration results determined by HPLC-MS/MS
DOI: 10.6084/m9.figshare.21260793.v2
title: 16s rRNA data & HPLC-MS/MS data .zip

description: 1. 16S rRNA sequencing results of rat cecal contents 2. Blood concentration results determined by HPLC-MS/MS
DOI: 10.6084/m9.figshare.21260793.v1
title: 16s rRNA raw data & HPLC-MS/MS data .zip

description: 1. 16S rRNA sequencing results of rat cecal contents 2. Blood concentration results determined by HPLC-MS/MS
DOI: 10.25549/usctheses-ouc110816145
title: What do my (online) friends think? A topic modeling approach to patterns of response to self-injurious behaviors on Reddit
DOI: 10.25549/usctheses-ouc110879202
title: Delay-locked loop-based fractional frequency counter for magnetic biosensors
DOI: 10.25549/usctheses-ouc110879204
title: The role of dyadic and triadic factors on psychosocial wellbeing and healthcare interactions among childhood cancer survivors, parents, and medical providers
DOI: 10.25549/usctheses-ouc110879209
title: Engineered humanized antibody inhibitors for cathepsin S
DOI: 10.25549/usctheses-ouc110939609
title: Diet quality and pancreatic cancer incidence in the multiethnic cohort
DOI: 10.25549/usctheses-ouc110964851
title: A novel chemoenzymatic conjugation method for bispecific antibody production
DOI: 10.25549/usctheses-ouc111014554
title: Microenvironmental and biomechanical regulation of mitochondrial membrane potential in cancer cells
DOI: 10.25549/usctheses-ouc111117815
title: Unknown
DOI: 10.25549/usctheses-ouc111136635
title: Regulation of T cell HLA-DR by CD3 ζ signaling
DOI: 10.25549/usctheses-ouc111271659
title: The perceived impact of racial microaggressions on the well-being of African American female workers in nonprofit organizations
DOI: 10.25549/usctheses-ouc111307050
title: Unknown
DOI: 10.25549/usctheses-ouc111307052
title: Unknown
DOI: 10.25549/usctheses-ouc111307053
title: Unknown
DOI: 10.25549/usctheses-ouc111307054
title: Unknown
DOI: 10.25549/usctheses-ouc111307058
title: Unknown
DOI: 10.25549/usctheses-ouc111307109
title: Unknown
DOI: 10.25549/usctheses-ouc111307112
title: Unknown
DOI: 10.25549/usctheses-ouc111307114
title: Unknown
DOI: 10.25549/usctheses-ouc111307116
title: Unknown
DOI: 10.25549/usctheses-ouc111345524
title: What will I be when I grow up? Understanding how the lived experiences of African American community college students impact their academic major choices
DOI: 10.25549/usctheses-ouc111352070
title: Mission match, reputation, and bureaucratic motivation
DOI: 10.25549/usctheses-ouc111352080
title: The role of RhoGEFs in glutamatergic synapse development and human cognitive disorders
DOI: 10.25549/usctheses-ouc111352085
title: Identification of functional pathways altered in testis by in utero exposure to low doses of genistein and DEHP
DOI: 10.25549/usctheses-ouc111369230
title: Rewilding Patagonia
DOI: 10.25549/usctheses-ouc111372145
title: The punch card imagination: authorship and early machine programming
DOI: 10.25549/usctheses-ouc111372147
title: Rethinking Taiwan’s same-sex marriage legalization: young generation dynamics and queer activism
DOI: 10.25549/usctheses-ouc111373226
title: Broken windows on campus: Policing and racism in higher education
DOI: 10.25549/usctheses-ouc111373231
title: Infectious feelings: disease, sympathy, and the nineteenth-century novel
DOI: 10.25549/usctheses-ouc111373336
title: Essays on improving human interactions with humans, algorithms, and technologies for better healthcare outcomes
DOI: 10.25549/usctheses-ouc111373252
title: Wild grammars
DOI: 10.25549/usctheses-ouc111373451
title: Children’s environmental and developmental equity within Los Angeles: a spatio-temporal exploration of varying conditions, perspectives, and outcomes
DOI: 10.25549/usctheses-ouc111373693
title: Structure and function of the orphan G protein-coupled receptor 6
DOI: 10.25549/usctheses-ouc111373692
title: Sunsetting: platform closure and the construction of digital cultural loss
DOI: 10.25549/usctheses-ouc111373694
title: MATCH CUT: the making of professional screenwriters and a (counter)storytelling movement in film school