cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/a66e45a313f6c0d841f41c6783978a3c
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-12 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.12909944
title: Factors influencing technology adoption among smallholder farmers in Africa: A systematic literature review

description: Online keyword search string
DOI: 10.6084/m9.figshare.12909944.v1
title: Factors influencing technology adoption among smallholder farmers in Africa: A systematic literature review

description: Online keyword search string
DOI: 10.6073/pasta/116885acff7959df134a1c9b3b0ae25e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/766e84a7edfbf49fa8f056f7304e6838
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-12. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-12 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/85d898c308e1a1921a5f28e6e3d56857
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-12 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.4463645
title: Genetic analysis of patients with familial and sporadic amyotrophic lateral sclerosis in a Brazilian Research Center

description: <i>Objective</i>: To investigate gene mutations in familial form (FALS) and sporadic form (SALS) of amyotrophic lateral sclerosis (ALS) in a highly miscegenated population. <i>Methods</i>: Frequencies of mutations in the <i>C9orfF72</i>, <i>TARDBP</i>, <i>SOD1</i>, <i>FUS</i> and <i>VAPB</i> genes were investigated in a cohort of FALS (<i>n</i> = 39) and SALS (<i>n</i> = 189) subjects from the Research Centre of the University of São Paulo School of Medicine. All patients were subjected to <i>C9orf72</i> and <i>TARDBP</i> analyses. <i>SOD1</i>, <i>FUS</i> and <i>VAPB</i> were also evaluated in FALS subjects. <i>Results</i>: Mutations were identified in FALS (61.3%) and SALS (5.3%) patients. Mutations in <i>C9orf72</i> (12.8%, &gt;45 GGGGCC hexanucleotide repeats), <i>VAPB</i> (43.6%, P56S) and <i>SOD1</i> (7.7%, <i>L145S</i>) were identified in FALS subjects. Pathogenic <i>C9orf72</i> expansions (2.64%) were identified in some SALS patients. Similar changes of <i>TARDBP</i> were found in SALS (2.64%) but not in FALS subjects. No <i>FUS</i> mutations were seen in any FALS subjects. <i>Conclusions</i>: <i>TARDBP</i> and <i>C9orf72</i> mutations in this cohort were similar to those found in other centres worldwide. <i>VAPB</i> mutation (P56S) was highly prevalent in Brazilian FALS patients.
DOI: 10.6084/m9.figshare.4463645.v1
title: Genetic analysis of patients with familial and sporadic amyotrophic lateral sclerosis in a Brazilian Research Center

description: <i>Objective</i>: To investigate gene mutations in familial form (FALS) and sporadic form (SALS) of amyotrophic lateral sclerosis (ALS) in a highly miscegenated population. <i>Methods</i>: Frequencies of mutations in the <i>C9orfF72</i>, <i>TARDBP</i>, <i>SOD1</i>, <i>FUS</i> and <i>VAPB</i> genes were investigated in a cohort of FALS (<i>n</i> = 39) and SALS (<i>n</i> = 189) subjects from the Research Centre of the University of São Paulo School of Medicine. All patients were subjected to <i>C9orf72</i> and <i>TARDBP</i> analyses. <i>SOD1</i>, <i>FUS</i> and <i>VAPB</i> were also evaluated in FALS subjects. <i>Results</i>: Mutations were identified in FALS (61.3%) and SALS (5.3%) patients. Mutations in <i>C9orf72</i> (12.8%, &gt;45 GGGGCC hexanucleotide repeats), <i>VAPB</i> (43.6%, P56S) and <i>SOD1</i> (7.7%, <i>L145S</i>) were identified in FALS subjects. Pathogenic <i>C9orf72</i> expansions (2.64%) were identified in some SALS patients. Similar changes of <i>TARDBP</i> were found in SALS (2.64%) but not in FALS subjects. No <i>FUS</i> mutations were seen in any FALS subjects. <i>Conclusions</i>: <i>TARDBP</i> and <i>C9orf72</i> mutations in this cohort were similar to those found in other centres worldwide. <i>VAPB</i> mutation (P56S) was highly prevalent in Brazilian FALS patients.
DOI: 10.6073/pasta/dd83df7a9c6630ebf8f4be3fb13aa838
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.25810/7q0y-8r40
title: Atmosphere and ocean model results
DOI: 10.21227/xczq-h446
title: Survey (Course: Taller de Ingeniería Biológica 1) Change to Virtual Modality during COVID-19

description: The dataset links to the survey performed on students and professors of Biological Engineering introductory course, as the Department of Biological Engineering, University of the Republic, Uruguay.
DOI: 10.34740/kaggle/dsv/1459387
title: Replication data for "The proximity of ideas"
DOI: 10.34740/kaggle/dsv/1459394
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.3761562.v1593
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.26208/rvmz-ks26
title: Idealized model simulations to determine impacts of storm-relative winds on differential reflectivity and specific differential phase fields
DOI: 10.5517/ccdc.csd.cc24x5nx
title: CCDC 1993289: Experimental Crystal Structure Determination

description: Related Article: Shengfei Jin, Hang T. Dang, Graham C. Haug, Viet D. Nguyen, Hadi D. Arman, Oleg V. Larionov|2020|Chemical Science|11|9101|doi:10.1039/D0SC03118F
DOI: 10.5517/ccdc.csd.cc2510qz
title: CCDC 1996980: Experimental Crystal Structure Determination

description: Related Article: Shuo Tong|2020|CSD Communication|||
description: Related Article: Shuo Tong,  Jiang-Tao Li,  Dong-Dong Liang,  Yan-E Zhang,  Qi-Yun Feng,  Xin Zhang,  Jieping Zhu,  Mei-Xiang Wang|2020|J.Am.Chem.Soc.|142|14432|doi:10.1021/jacs.0c05369
DOI: 10.6084/m9.figshare.4452449
title: Bayesian Inference for Kendall's Rank Correlation Coefficient

description: This article outlines a Bayesian methodology to estimate and test the Kendall rank correlation coefficient τ. The nonparametric nature of rank data implies the absence of a generative model and the lack of an explicit likelihood function. These challenges can be overcome by modeling test statistics rather than data (Johnson, 2005). We also introduce a method for obtaining a default prior distribution. The combined result is an inferential methodology that yields a posterior distribution for Kendall's τ.
DOI: 10.6084/m9.figshare.4452449.v1
title: Bayesian Inference for Kendall's Rank Correlation Coefficient

description: This article outlines a Bayesian methodology to estimate and test the Kendall rank correlation coefficient τ. The nonparametric nature of rank data implies the absence of a generative model and the lack of an explicit likelihood function. These challenges can be overcome by modeling test statistics rather than data (Johnson, 2005). We also introduce a method for obtaining a default prior distribution. The combined result is an inferential methodology that yields a posterior distribution for Kendall's τ.
DOI: 10.6084/m9.figshare.4452263.v2
title: MOESM1 of Motif signatures in stretch enhancers are enriched for disease-associated genetic variants

description: Additional file 1: Table S1. Staitistics of enhancers.
DOI: 10.6084/m9.figshare.4452257.v2
title: MOESM4 of Motif signatures in stretch enhancers are enriched for disease-associated genetic variants

description: Additional file 4: De novo motif disocvery results. Zip archive of de novo motif discovery results. Discovered motifs are condensed in MEME Minimal Motif Format. TOMTOM output HTML files documenting the comparison of the discovered motifs to known motifs and CentriMo output text files detailing the enrichment of the discovered motifs in SE or TE DHS sequences are also included. File names indicate the type of sequences used for the motif discovery, including the method of footprinting. Can be downloaded at http://fusion.nhgri.nih.gov/files/se-motifs/AdditionalFile4.zip .
DOI: 10.6084/m9.figshare.4452260.v2
title: MOESM3 of Motif signatures in stretch enhancers are enriched for disease-associated genetic variants

description: Additional file 3: CentriMo scans of DHS sequences with database motifs. Zip archive of text outputs from CentriMo scans on DHS sequences within SEs or TEs using database motifs. File names specify the cell type and enhancer class. Can be downloaded at http://fusion.nhgri.nih.gov/files/se-motifs/AdditionalFile3.zip .
DOI: 10.6084/m9.figshare.4451420
title: Measurements of electrical energy harvesting from Cu-Zn cell for ingestible devices

description: Supporting materials for our paper: "Prolonged energy harvesting for ingestible devices" Nature Biomedical Engineering, Feb 2017<br>Here we present: (1) data collected during our wireless capsule experiments in pigs, (2) the schematics of the board designs used to acquire the data, and (3) the micro controller code that ran the experiments.<br>Please see the paper for a full discussion on the methodology, techniques, and interpretation. Link to the paper: http://dx.doi.org/10.1038/s41551-016-0022
DOI: 10.6084/m9.figshare.12909998
title: Data Gender and Intermediate Microeconomics Performance

description: Dataset for manuscript submission<br>
DOI: 10.6084/m9.figshare.12909998.v1
title: Data Gender and Intermediate Microeconomics Performance

description: Dataset for manuscript submission<br>
DOI: 10.6084/m9.figshare.4445783
title: Resolving a Multi-Million Dollar Contract Dispute With a Latin Square

description: The City of New York negotiated a dispute over the performance of new garbage trucks purchased from a vehicle manufacturer. The dispute concerned the fulfillment of a specification in the purchase contract that the trucks load a minimum full-load of 12.5 tons of household refuse. On behalf of the City, but in cooperation with the manufacturer, the City's Department of Sanitation and consulting statisticians tested fulfillment of the contract specification, employing a Latin Square design for routing trucks. We present the classical analysis using a linear model and analysis of variance. We also show how fixed, mixed, and random effect models are useful in analyzing the results of the test. Finally, we take a Bayesian perspective to demonstrate how the information from the data overcomes the difference between the prior densities of the city and the manufacturer for the load capacities of the trucks to result in much closer posterior densities. This procedure might prove useful in similar negotiations. Supplementary material including the data and R code for computations in the article are available online.
DOI: 10.6084/m9.figshare.4445783.v2
title: Resolving a Multi-Million Dollar Contract Dispute With a Latin Square

description: The City of New York negotiated a dispute over the performance of new garbage trucks purchased from a vehicle manufacturer. The dispute concerned the fulfillment of a specification in the purchase contract that the trucks load a minimum full-load of 12.5 tons of household refuse. On behalf of the City, but in cooperation with the manufacturer, the City's Department of Sanitation and consulting statisticians tested fulfillment of the contract specification, employing a Latin Square design for routing trucks. We present the classical analysis using a linear model and analysis of variance. We also show how fixed, mixed, and random effect models are useful in analyzing the results of the test. Finally, we take a Bayesian perspective to demonstrate how the information from the data overcomes the difference between the prior densities of the city and the manufacturer for the load capacities of the trucks to result in much closer posterior densities. This procedure might prove useful in similar negotiations. Supplementary material including the data and R code for computations in the article are available online.
DOI: 10.6084/m9.figshare.4445783.v1
title: Resolving a Multi-Million Dollar Contract Dispute with a Latin Square

description: The City of New York negotiated a dispute over the performance of new garbage trucks purchased from a vehicle manufacturer. The dispute concerned the fulfillment of a specification in the purchase contract that the trucks load a minimum full-load of 12.5 tons of household refuse. On behalf of the City, but in cooperation with the manufacturer, the City's Department of Sanitation and consulting statisticians tested fulfillment of the contract specification, employing a Latin Square design for routing trucks. We present the classical analysis using a linear model and analysis of variance. We also show how fixed, mixed, and random effect models are useful in analyzing the results of the test. Finally, we take a Bayesian perspective to demonstrate how the information from the data overcomes the difference between the prior densities of the city and the manufacturer for the load capacities of the trucks to result in much closer posterior densities. This procedure might prove useful in similar negotiations. Supplementary material including the data and R code for computations in the article are available online.
DOI: 10.6084/m9.figshare.4445777.v1
title: A “Backward” Bayesian Method for Determination of Criteria for Making Go/No-Go Decisions in the Early Phases

description: We introduce a “backward” Bayesian method to assist sponsors formulating early phase Go/No-Go criteria based on the ultimate efficacy or safety target which is usually clearer for Phase 3. Derived from the definition of success for Phase 3, involving prior information and cost of later phases, this work presents the quantitative relationships among the following factors: previous and current study results, study designs (e.g., sample size, duration, or dose), true effect, target probability of success (PoS), expected financial loss, expected probability of terminating a potentially successful asset. An example is given to demonstrate how to accomplish these objectives for an exponential model describing the trajectory of weight loss. The expected loss and the probability of terminating a valuable compound are plotted against a range of criteria. The sponsors can then optimize the Go/No-Go criteria based on their tolerance for their objectives. This method can also be generalized to other nonlinear models. A byproduct of this work is to highlight the naivety of conventional gut feeling approaches in early internal decision making process by explicitly identifying the necessary, albeit elaborate, information and assumptions.
DOI: 10.6084/m9.figshare.4445777.v2
title: A “Backward” Bayesian Method for Determination of Criteria for Making Go/No-Go Decisions in the Early Phases

description: We introduce a “backward” Bayesian method to assist sponsors formulating early phase Go/No-Go criteria based on the ultimate efficacy or safety target, which is usually clearer for Phase 3. Derived from the definition of success for Phase 3, involving prior information and cost of later phases, this work presents the quantitative relationships among the following factors: previous and current study results, study designs (e.g., sample size, duration, or dose), true effect, target probability of success (PoS), expected financial loss, expected probability of terminating a potentially successful asset. An example is given to demonstrate how to accomplish these objectives for an exponential model describing the trajectory of weight loss. The expected loss and the probability of terminating a valuable compound are plotted against a range of criteria. The sponsors can then optimize the Go/No-Go criteria based on their tolerance for their objectives. This method can also be generalized to other nonlinear models. A byproduct of this work is to highlight the naivety of conventional gut feeling approaches in early internal decision-making process by explicitly identifying the necessary, albeit elaborate, information, and assumptions. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.4445777.v3
title: A “Backward” Bayesian Method for Determination of Criteria for Making Go/No-Go Decisions in the Early Phases

description: We introduce a “backward” Bayesian method to assist sponsors formulating early phase Go/No-Go criteria based on the ultimate efficacy or safety target which is usually clearer for Phase 3. Derived from the definition of success for Phase 3, involving prior information and cost of later phases, this work presents the quantitative relationships among the following factors: previous and current study results, study designs (e.g., sample size, duration, or dose), true effect, target probability of success (PoS), expected financial loss, expected probability of terminating a potentially successful asset. An example is given to demonstrate how to accomplish these objectives for an exponential model describing the trajectory of weight loss. The expected loss and the probability of terminating a valuable compound are plotted against a range of criteria. The sponsors can then optimize the Go/No-Go criteria based on their tolerance for their objectives. This method can also be generalized to other nonlinear models. A byproduct of this work is to highlight the naivety of conventional gut feeling approaches in early internal decision making process by explicitly identifying the necessary, albeit elaborate, information and assumptions.
DOI: 10.6084/m9.figshare.4445777.v4
title: A “Backward” Bayesian Method for Determination of Criteria for Making Go/No-Go Decisions in the Early Phases

description: We introduce a “backward” Bayesian method to assist sponsors formulating early phase Go/No-Go criteria based on the ultimate efficacy or safety target, which is usually clearer for Phase 3. Derived from the definition of success for Phase 3, involving prior information and cost of later phases, this work presents the quantitative relationships among the following factors: previous and current study results, study designs (e.g., sample size, duration, or dose), true effect, target probability of success (PoS), expected financial loss, expected probability of terminating a potentially successful asset. An example is given to demonstrate how to accomplish these objectives for an exponential model describing the trajectory of weight loss. The expected loss and the probability of terminating a valuable compound are plotted against a range of criteria. The sponsors can then optimize the Go/No-Go criteria based on their tolerance for their objectives. This method can also be generalized to other nonlinear models. A byproduct of this work is to highlight the naivety of conventional gut feeling approaches in early internal decision-making process by explicitly identifying the necessary, albeit elaborate, information, and assumptions. Supplementary materials for this article are available online.