cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive120571.20170829.2
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/bacdive120572.20170829.2
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/bacdive120573.20170829.2
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/bacdive120574.20170829.2
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/bacdive120575.20170829.2
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/bacdive115705.20170829.2
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/bacdive115706.20170829.2
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/bacdive115707.20170829.2
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/bacdive115708.20170829.2
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/bacdive115709.20170829.2
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/bacdive115710.20170829.2
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/bacdive115711.20170829.2
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/bacdive115712.20170829.2
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/bacdive116491.20170829.2
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/bacdive116492.20170829.2
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/bacdive116493.20170829.2
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/bacdive116494.20170829.2
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/bacdive116495.20170829.2
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/bacdive116496.20170829.2
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/bacdive116497.20170829.2
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/bacdive116498.20170829.2
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/bacdive117331.20170829.2
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/bacdive117332.20170829.2
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/bacdive117333.20170829.2
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/bacdive117334.20170829.2
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/bacdive117335.20170829.2
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/bacdive117336.20170829.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.23645/epacomptox.20469192
title: Updated consumer product use patterns for model parameterization, including for susceptible populations and an expanded product scope

description: This dataset summarizes new consumer product use pattern information (habits and practices data) that have been curated into the Factotum system. The data represents information from 122 public documents that have been uploaded and curated for harmonized Product Use Categories (PUCs), product attributes (e.g., form such as spray or liquid, etc.), the type of data available in the document (e.g., population prevalence, mass per use, frequency of use, duration of use, etc.), the population(s) (e.g., age group, gender, or special/susceptible population) for which data are available, the geographic region (if any) referenced, and the study type (peer-reviewed publication, government report, etc.) The documents and the extracted data are available with the Factotum application for use by ORD and program office partners in exposure assessments.
DOI: 10.23645/epacomptox.20469192.v1
title: Updated consumer product use patterns for model parameterization, including for susceptible populations and an expanded product scope

description: <strong>The tagged data are attached here in bulk form for review. Note that some products may not have tags if none were appropriate (which was usually when the data were very general in nature). The documents and extracted data are available in Factotum for each product category via the Product Use Category page (e.g., </strong><strong>https://ccte-factotum.epa.gov/puc/169/</strong><strong>) under the “Habits and Practices” tab and can be found via a search of document name or product. </strong>
DOI: 10.23645/epacomptox.20469192.v2
title: Updated consumer product use patterns for model parameterization, including for susceptible populations and an expanded product scope

description: This dataset summarizes new consumer product use pattern information (habits and practices data) that have been curated into the Factotum system. The data represents information from 122 public documents that have been uploaded and curated for harmonized Product Use Categories (PUCs), product attributes (e.g., form such as spray or liquid, etc.), the type of data available in the document (e.g., population prevalence, mass per use, frequency of use, duration of use, etc.), the population(s) (e.g., age group, gender, or special/susceptible population) for which data are available, the geographic region (if any) referenced, and the study type (peer-reviewed publication, government report, etc.) The documents and the extracted data are available with the Factotum application for use by ORD and program office partners in exposure assessments.
DOI: 10.34943/ada02dad-b384-4754-b45f-12906144bf16
title: Endeavour North Current Meter Deployed 2012-06-19

description: The Nortek Aquadopp Current Meter 2809 was deployed on 2012-06-19 at Endeavour North. This north section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/4d20c08f-30e0-4b42-9d7c-1eda5e069ae9
title: Endeavour South Current Meter Deployed 2019-09-20

description: The Nortek Aquadopp Current Meter 2809 was deployed on 2019-09-20 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.25612/837.ovnbqxj57330
title: National Air Toxics Assessment - Emissions - Texas - 2002, 2005, 2011

description: The National-scale Air Toxics Assessment (NATA) is a comprehensive evaluation of air toxics in the USA from the EPA, and is based on modeled air quality.  NATA also provides cancer and non-cancer risk estimates related to these emissions, but this dataset only contains emissions data.  For the risk estimates, please see the "National Air Toxics Assessment - Risk Estimates" dataset in this catalog. This curated version (v1) offers the following benefits:  (1) Data for the three years were standardized to have the same variable names and formats across years as appropriate; (2) Datasets are provided in SAS (.sas7bdat), STATA (.dta), and Text (.csv) formats; (3) Checking was done to confirm that there is a one-to-one correspondence between the pollutant code and description, that each pollutant is associated with only one HAP (Hazardous Air Pollutant), and that there is only one record per State, County, and Pollutant.
DOI: 10.25612/837.7ak5v3e906o1
title: National Air Toxics Assessment - Risk Estimates for Texas
DOI: 10.25612/837.9p1eebba1159
title: National Air Toxics Assessment (NATA) - Risk Estimates

description: Air Toxics health risk estimates (cancer and non-cancer) presented at the national, state, county, and census tract level. Data for 2005, 2011, and 2014.
DOI: 10.6084/m9.figshare.21743270
title: Final Turtle

description: Injury index on wood turtle shells
DOI: 10.6084/m9.figshare.21743270.v1
title: Final Turtle

description: Injury index on wood turtle shells
DOI: 10.25612/837.8r7ky455nrmz
title: Houston Area Rainfall and Stream Elevation (1986-2019)

description: Daily stream elevation data and hourly rainfall data collected from the Harris County Flood Control District website (1986-2019)
DOI: 10.25612/837.ra19gyqm7anr
title: Harris County Flood Gage Readings During Hurricane Harvey

description: Hourly rainfall and channel elevation readings from flood gages across Harris County during the Hurricane Harvey time frame. Geographical coordinates of flood gages also provided.
DOI: 10.25612/837.7go2yx9e8v9l
title: TCEQ Air Quality Data Post-ITC Fire in Deer Park, Texas

description: Hourly air quality data from TCEQ taken from 8 monitoring stations close to the ITC facility that caught fire on March 17, 2019 in Deer Park, TX. Data for March 16-26, 2019.
DOI: 10.25612/837.k90q1epdz8wk
title: Air Quality Monitoring Sites - Texas Commission on Environmental Quality
title: TCEQ Air Quality Monitoring Sites

description: List of air quality monitoring sites that provide or have provided data to TCEQ as of July 2017. This curated version includes block IDs from US Census 2000 and 2010. The UDP geocoded six records that had missing geographical coordinates, and re-geocoded one record for which the coordinates were incorrect.
DOI: 10.5517/ccdc.csd.cc28hs5r
title: CCDC 2100534: Experimental Crystal Structure Determination

description: Related Article: P.M. Toklo, E. Yayi Ladekan, A. Linden, S. Hounzangbe-Adote, S.F. Kouam, J.D. Gbenou|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|505|doi:10.1107/S2053229621007841
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.cc28hs6s
title: CCDC 2100535: Experimental Crystal Structure Determination

description: Related Article: P.M. Toklo, E. Yayi Ladekan, A. Linden, S. Hounzangbe-Adote, S.F. Kouam, J.D. Gbenou|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|505|doi:10.1107/S2053229621007841
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.21743258
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.6084/m9.figshare.21743258.v2
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.6084/m9.figshare.21743258.v1
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.6084/m9.figshare.13139324
title: Arctic COSMO-CLM hindcast 2007

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13139324.v4
title: Arctic COSMO-CLM hindcast 2007

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.13139324.v5
title: Arctic COSMO-CLM hindcast 2007

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.21731090
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.6084/m9.figshare.21731090.v3
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.6084/m9.figshare.21731090.v4
title: Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma

description: These data sets are used in the benchmark study presented in the paper "Identification and Validation of Basement Membrane Related LncRNA Signatures as A Novel Prognostic Model for Hepatocellular Carcinoma" by Huajian Gu.
DOI: 10.34740/kaggle/dsv/4733099
title: Correlation Comparison in Visualizations Dataset
DOI: 10.21223/7pdqeb/uwz9dx
title: 05_Data-Agronomic-La Libertad-2021-2022-Productivity.tab

description: :unav
DOI: 10.21223/7pdqeb/u23j2e
title: 04.2_Data-Agronomic-La Libertad-2021-2022-Manual activity.tab

description: :unav
DOI: 10.21223/7pdqeb/e1z6zc
title: 03_Data-Agronomic-La Libertad-2021-2022-Visit.tab

description: :unav
DOI: 10.21223/7pdqeb/z2xt1m
title: 06_Data-Agronomic-La Libertad-2021-2022-Soil analysis.tab

description: :unav
DOI: 10.21223/7pdqeb/rmza09
title: 02_Data-Agronomic-La Libertad-2021-2022-Sowing.tab

description: :unav
DOI: 10.21223/7pdqeb/tqucdi
title: 05.1_Data-Agronomic-La Libertad-2021-2022-Products.tab

description: :unav
DOI: 10.21223/7pdqeb/hmnxhk
title: 07_Data_dictionary.xlsx

description: :unav
DOI: 10.21223/7pdqeb/nxgrk9
title: 01_Data-Agronomic-La Libertad-2021-2022-Farmers-Crop-Site.tab

description: :unav
DOI: 10.21223/7pdqeb/hdavyq
title: 04_Data-Agronomic-La Libertad-2021-2022-Harvest.tab

description: :unav
DOI: 10.21223/7pdqeb/9xx7m8
title: 04.1_Data-Agronomic-La Libertad-2021-2022-Crop.tab

description: :unav
DOI: 10.48432/j9yg00/qjza9d
title: 4709_SNP_Rice_Genotyping.xlsx

description: No cabeçalho das colunas estão descritos os nomes dos 4.709 marcadores SNPs, onde há o indicativo do cromossomo (S1, cromossomo 1, por exemplo), seguido de um número, que corresponde à posição do SNP no cromossomo, de acordo com o genoma de referência Nipponbare (http://rice.uga.edu/). Ao longo da primeira coluna estão descritos os 541 acessos de arroz genotipados, e pertencentes à Coleção Nuclear de Arroz da Embrapa.
DOI: 10.48432/j9yg00
title: Dados de genotipagem da Coleção Nuclear de Arroz da Embrapa por 4.709 SNPs

description: Esse conjunto de dados foi elaborado para permitir uma ampla amostragem do genoma do arroz por um número reduzido de marcadores SNPs (Single Nucleotide Polymorphisms), e com isso viabilizar análises que requerem grande demanda computacional, como machine learning, por exemplo. O conjunto é composto por dados de genotipagem de 541 acessos da Coleção Nuclear de Arroz da Embrapa (CNAE) por 4.709 SNPs, tendo em média um SNP a cada 68.000 pares de base (pb), que é inferior ao desequilíbrio de ligação médio do arroz, em torno de 150.000 pb. Esse conjunto de dados foi elaborado a partir de um conjunto completo, composto por aproximadamente 400.000 SNPs. O diferencial desse conjunto de marcadores SNPs é que ele genotipou majoritariamente o germoplasma brasileiro de arroz, presente na CNAE, e que compõe a base genética do programa de melhoramento de arroz da Embrapa, que é marcadamente diferente da base genética do arroz asiático.
DOI: 10.34740/kaggle/dsv/4733158
title: Egypt Gold Prices | Daily Updated
DOI: 10.57745/7ynroe
title: Depot.zip

description: :unav
DOI: 10.34740/kaggle/dsv/4728423
title: Medical Image Segmentation: Evaluation
DOI: 10.6092/unibo/amsacta/7123
title: Dataset related to VVUQ main activities to assess the credibility of the Bologna Biomechanical Computed Tomography in silico methodology

description: This dataset contains the details (inputs and outputs) of the main VVUQ activities performed in order to assess the credibility of Bologna Biomechanical Computed Tomography (BBCT)-hip according to ASMEV&V40-2018. BBCT-hip model calculates ARF0, the hip fracture risk upon falling, by modelling a fall to the side. In principle, ARF0 is identified by calculating possible impact forces derived from a fall (through a stochastic mathematical model) and by assessing which of those, exceeding the load to failure (determined through a patient-specific finite element model), lead to a fracture event. More in detail, BBCT-hip uses a stochastic mathematical model to simulate 1,000,000 falls of a body of the height and weight equal to those of the patient, each with initial conditions assigned randomly according to specific probability distributions, and for each of these falls predicts the resulting impact force. In parallel, a patient-specific Finite Element (FE) model of the femur informed by the patient’s QCT data is run 28 times, varying the femur orientation at the impact (femoral impact pose). For each impact pose, the load to failure, i.e. the intensity of the force required to fracture the femur, is computed based on principal strains. The FE model-derived loads to failure inform a reduced-order model (response surface) which allows inferring the magnitude of the load to failure for each possible impact direction at a reasonable computational cost. The surrogate biomarker ARF0 is calculated as the ratio of the number of simulated falls that the model predicts would cause a fracture divided by the total number of simulated falls.
DOI: 10.5517/ccdc.csd.cc28dbvw
title: CCDC 2097238: Experimental Crystal Structure Determination

description: Related Article: Chang-Dai Si, Jian-Bin Zhang, Feng-Feng Pan, Xu Yan, Peng Wang, Dong-Qian Xue, Xiu-Juan Li, Jia-Cheng Liu, Kun Yuan|2022|Inorg.Chem.|61|20159|doi:10.1021/acs.inorgchem.2c03643
description: Related Article: Chang-Dai  Si|2021|CSD Communication|||
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.cc28ykvn
title: CCDC 2113792: Experimental Crystal Structure Determination

description: Related Article: Shibo Xu, Juan del Pozo, Filippo Romiti, Yue Fu, Binh Khanh Mai, Ryan J. Morrison, KyungA Lee, Shaowei Hu, Ming Joo Koh, Jaehee Lee, Xinghan Li, Peng Liu, Amir H. Hoveyda|2022|Nature Chemistry|14|1459|doi:10.1038/s41557-022-01054-4
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.