cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8206742
title: tracking-4-grams-number

description: 4-grams
DOI: 10.6084/m9.figshare.8206733
title: tracking-4-grams

description: 4-grams
DOI: 10.6084/m9.figshare.8206742.v1
title: tracking-4-grams-number

description: 4-grams
DOI: 10.6084/m9.figshare.8206733.v1
title: tracking-4-grams

description: 4-grams
DOI: 10.6084/m9.figshare.8206727
title: tracking-3-grams-number

description: 3-grams
DOI: 10.6084/m9.figshare.8206727.v1
title: tracking-3-grams-number

description: 3-grams
DOI: 10.6084/m9.figshare.8206682
title: tracking-3-grams

description: 3-grams
DOI: 10.6084/m9.figshare.8206682.v1
title: tracking-3-grams

description: 3-grams
DOI: 10.6084/m9.figshare.8206625
title: dataset_leukocyte_recognition.rar

description: leukocyte recognition data set
DOI: 10.6084/m9.figshare.8206604
title: MasterList.xlsx

description: Systematic Literature Review primary texts corpus with mappings
DOI: 10.6084/m9.figshare.8206574
title: thorn

description: This is a tomographic image of a thorn from a plant.
DOI: 10.6084/m9.figshare.8206568
title: pick

description: Tomographic image of a toothpick.
DOI: 10.6084/m9.figshare.8206565
title: Sequencing results

description: Set of sequencing results for Oliver Mantovani's thesis about membrane transporters over-expression in cyanobacteria for increased terpenoid extrusion
DOI: 10.6084/m9.figshare.8206574.v1
title: thorn

description: This is a tomographic image of a thorn from a plant.
DOI: 10.6084/m9.figshare.8206562
title: Plasmid sequences

description: Set of plasmids used in Oliver Mantovani's thesis about over-expression of membrane transporters in cyanobacteria fro increased terpenoid extrusion
DOI: 10.6084/m9.figshare.8206562.v1
title: Plasmid sequences

description: Set of plasmids used in Oliver Mantovani's thesis about over-expression of membrane transporters in cyanobacteria fro increased terpenoid extrusion
DOI: 10.6084/m9.figshare.8206559
title: pen

description: It is the very tip of a ballpoint pen.
DOI: 10.6084/m9.figshare.8206565.v1
title: Sequencing results

description: Set of sequencing results for Oliver Mantovani's thesis about membrane transporters over-expression in cyanobacteria for increased terpenoid extrusion
DOI: 10.6084/m9.figshare.8206421
title: AYP and RHS Data Extraction from Ashogbon and Iwaya Public Health Facilities in Lagos State (July-October 2017)

description: <b>Background</b>:Many adolescents and young people (AYP) who need sexual and reproductive health (SRH) services encounter personal-level and contextual barriers. An intervention sought to increase the access of AYP’saccess to SRH services by incorporating youth-friendly SRH service units into the Public Healthcare Centres (PHCs) in two communities in Lagos. <br><b>Methods</b>:Using client records in the PHCs over a period of 4 months, this analysis documents use of the facilities by AYP and explains the factors that determine use of specific services. <br><b>Results</b>:We found more female users than male users. Female adolescents were also more likely to mention pregnancy and family planning related issues as their main reason for visiting while male adolescents are more likely to mention HIV counselling and testing as their main reason for visiting. Use of SRH counselling and services increases consistently with age. The study also found that AYP are more likely to use SRH services during re-visits than first visits.<br><b>Conclusions</b>:We recommend that intervention programme managers should target sub-populations of AYP with information on the need to use those services they are typically not likely to use.<br>
DOI: 10.6084/m9.figshare.8206253
title: 25-grams

description: 25-grams
DOI: 10.6084/m9.figshare.8206262
title: 25-grams number

description: 25-grams
DOI: 10.6084/m9.figshare.8206253.v1
title: 25-grams

description: 25-grams
DOI: 10.6084/m9.figshare.8206421.v1
title: AYP_RHS_Data abstraction_Ashogbon_Iwaya_Screened.sav

description: Background:Many adolescents and young people (AYP) who need sexual and reproductive health (SRH) services encounter personal-level and contextual barriers. An intervention sought to increase the access of AYP’saccess to SRH services by incorporating youth-friendly SRH service units into the Public Healthcare Centres (PHCs) in two communities in Lagos. Methods:Using client records in the PHCs over a period of 4 months, this analysis documents use of the facilities by AYP and explains the factors that determine use of specific services. Results:We found more female users than male users. Female adolescents were also more likely to mention pregnancy and family planning related issues as their main reason for visiting while male adolescents are more likely to mention HIV counselling and testing as their main reason for visiting. Use of SRH counselling and services increases consistently with age. The study also found that AYP are more likely to use SRH services during re-visits than first visits.Conclusions:We recommend that intervention programme managers should target sub-populations of AYP with information on the need to use those services they are typically not likely to use.<br>
DOI: 10.6084/m9.figshare.8206421.v3
title: AYP and RHS Data Extraction from Ashogbon and Iwaya Public Health Facilities in Lagos State (July-October 2017)

description: <b>Background</b>:Many adolescents and young people (AYP) who need sexual and reproductive health (SRH) services encounter personal-level and contextual barriers. An intervention sought to increase the access of AYP’saccess to SRH services by incorporating youth-friendly SRH service units into the Public Healthcare Centres (PHCs) in two communities in Lagos. <br><b>Methods</b>:Using client records in the PHCs over a period of 4 months, this analysis documents use of the facilities by AYP and explains the factors that determine use of specific services. <br><b>Results</b>:We found more female users than male users. Female adolescents were also more likely to mention pregnancy and family planning related issues as their main reason for visiting while male adolescents are more likely to mention HIV counselling and testing as their main reason for visiting. Use of SRH counselling and services increases consistently with age. The study also found that AYP are more likely to use SRH services during re-visits than first visits.<br><b>Conclusions</b>:We recommend that intervention programme managers should target sub-populations of AYP with information on the need to use those services they are typically not likely to use.<br>
DOI: 10.6084/m9.figshare.8206262.v1
title: 25-grams number

description: 25-grams
DOI: 10.6084/m9.figshare.8206421.v2
title: AYP and RHS Data abstraction from Ashogbon and Iwaya Facility

description: <b>Background</b>:Many adolescents and young people (AYP) who need sexual and reproductive health (SRH) services encounter personal-level and contextual barriers. An intervention sought to increase the access of AYP’saccess to SRH services by incorporating youth-friendly SRH service units into the Public Healthcare Centres (PHCs) in two communities in Lagos. <br><b>Methods</b>:Using client records in the PHCs over a period of 4 months, this analysis documents use of the facilities by AYP and explains the factors that determine use of specific services. <br><b>Results</b>:We found more female users than male users. Female adolescents were also more likely to mention pregnancy and family planning related issues as their main reason for visiting while male adolescents are more likely to mention HIV counselling and testing as their main reason for visiting. Use of SRH counselling and services increases consistently with age. The study also found that AYP are more likely to use SRH services during re-visits than first visits.<br><b>Conclusions</b>:We recommend that intervention programme managers should target sub-populations of AYP with information on the need to use those services they are typically not likely to use.<br>
DOI: 10.6084/m9.figshare.8206232
title: 24-grams number

description: 24-grams
DOI: 10.6084/m9.figshare.8206229
title: 24-grams

description: 24-grams
DOI: 10.6084/m9.figshare.8206232.v1
title: 24-grams number

description: 24-grams
DOI: 10.6084/m9.figshare.8205356
title: Data required to run HhsFunctionalRankings workflow

description: These data are used in the workflow relating to the manuscript "Integrating Network-based Functional Enrichment with Genetic Association to Prioritize Causal Genes in Quantitative Trait Loci." <br>The workflow is published at: https://github.com/MahoneyLab/HhsFunctionalRankings<br>Two files are included here:HhsFunctionalPrioritizationData.tar.gzHhsFunctionalPrioritizationResults.tar.gz<br><br>The Data file contains all data used in the workflow. The Results file contains all final and intermediate results produced by the workflow.<br>These zipped files must be unzipped prior to running the workflow. They will create directories called "data" and "results" respectively. When placed in the workflow parent directory, they will be visible to the code in the workflow.
DOI: 10.6084/m9.figshare.8206229.v1
title: 24-grams

description: 24-grams
DOI: 10.6084/m9.figshare.8205287
title: 23-grams

description: 23-grams
DOI: 10.6084/m9.figshare.8205341
title: 23-grams number

description: 23-grams
DOI: 10.6084/m9.figshare.8205287.v1
title: 23-grams

description: 23-grams
DOI: 10.6084/m9.figshare.8205341.v1
title: 23-grams number

description: 23-grams
DOI: 10.6084/m9.figshare.8205092
title: Matrices from Emergent matriliny in a matrifocal, patrilineal population: a male coalitionary perspective

description: Data relevant for reconstructing analyses related to whether latent matrilineal kinship affects male social support
DOI: 10.6084/m9.figshare.8205086
title: Ego and Event Data from Emergent matriliny in a matrifocal, patrilineal population: a male coalitionary perspective

description: Data relevant for reconstructing analyses related to labor reciprocity, labor given and received, and social support given and received.
DOI: 10.6084/m9.figshare.8205092.v1
title: Matrices from Emergent matriliny in a matrifocal, patrilineal population: a male coalitionary perspective

description: Data relevant for reconstructing analyses related to whether latent matrilineal kinship affects male social support
DOI: 10.6084/m9.figshare.8205086.v1
title: Ego and Event Data from Emergent matriliny in a matrifocal, patrilineal population: a male coalitionary perspective

description: Data relevant for reconstructing analyses related to labor reciprocity, labor given and received, and social support given and received.
DOI: 10.6084/m9.figshare.8205026
title: 22-grams number

description: 22-grams
DOI: 10.6084/m9.figshare.8205020
title: 22-grams

description: 22-grams
DOI: 10.6084/m9.figshare.8205026.v1
title: 22-grams number

description: 22-grams
DOI: 10.6084/m9.figshare.8204945
title: Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation

description: Low-cost sensors for the measurement of fine particulate matter mass (PM<sub>2.5</sub>) enable dense networks to increase the spatial resolution of air quality monitoring. However, these sensors are affected by environmental factors such as temperature and humidity and their effects on ambient aerosol, which must be accounted for to improve the in-field accuracy of these sensors. We conducted long-term tests of two low-cost PM<sub>2.5</sub> sensors: Met-One NPM and PurpleAir PA-II units. We found a high level of self-consistency within each sensor type after testing 25 NPM and 9 PurpleAir units. We developed two types of corrections for the low-cost sensor measurements to better match regulatory-grade data. The first correction accounts for aerosol hygroscopic growth using particle composition and corrects for particle mass below the optical sensor size cut-point by collocation with reference Beta Attenuation Monitors (BAM). A second, fully-empirical correction uses linear or quadratic functions of environmental variables based on the same collocation dataset. The two models yielded comparable improvements over raw measurements. Sensor performance was assessed for two use cases: improving community awareness of air quality with short-term semi-quantitative comparisons of sites and providing long-term reasonably quantitative information for health impact studies. For the short-term case, both sensors provided reasonably accurate concentration information (mean absolute error of ∼4 µg/m<sup>3</sup>) in near-real time. For the long-term case, tested using year-long collocations at one urban background and one near-source site, error in the annual average was reduced below 1 µg/m<sup>3</sup>. Hence, these sensors can supplement sparse networks of regulatory-grade instruments, perform high-density neighborhood-scale monitoring, and be used to better understand spatial patterns and temporal air quality trends across urban areas. Copyright © 2019 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.8204918
title: spatialData_NumData_1000_neuron_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204912
title: spatialData_NumData_1000_forebrain_neuron_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204915
title: spatialData_NumData_1000_hindbrain_oligodendrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204912.v1
title: spatialData_NumData_1000_forebrain_neuron_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204915.v1
title: spatialData_NumData_1000_hindbrain_oligodendrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204906
title: spatialData_NumData_1000_midbrain_astrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204909
title: spatialData_NumData_1000.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204945.v1
title: Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

description: Low-cost sensors for the measurement of fine particulate matter mass (PM<sub>2.5</sub>) enable dense networks to increase the spatial resolution of air quality monitoring. However, these sensors are affected by environmental factors such as temperature and humidity and their effects on ambient aerosol, which must be accounted for to improve the in-field accuracy of these sensors. We conducted long-term tests of two low-cost PM<sub>2.5</sub> sensors: Met-One NPM and PurpleAir PA-II units. We found a high level of self-consistency within each sensor type after testing 25 NPM and 9 PurpleAir units. We developed two types of corrections for the low-cost sensor measurements to better match regulatory-grade data. The first correction accounts for aerosol hygroscopic growth using particle composition and corrects for particle mass below the optical sensor size cut-point by collocation with reference Beta Attenuation Monitors (BAM). A second, fully-empirical correction uses linear or quadratic functions of environmental variables based on the same collocation dataset. The two models yielded comparable improvements over raw measurements. Sensor performance was assessed for two use cases: improving community awareness of air quality with short-term semi-quantitative comparisons of sites and providing long-term reasonably quantitative information for health impact studies. For the short-term case, both sensors provided reasonably accurate concentration information (mean absolute error of ∼4 µg/m<sup>3</sup>) in near-real time. For the long-term case, tested using year-long collocations at one urban background and one near-source site, error in the annual average was reduced below 1 µg/m<sup>3</sup>. Hence, these sensors can supplement sparse networks of regulatory-grade instruments, perform high-density neighborhood-scale monitoring, and be used to better understand spatial patterns and temporal air quality trends across urban areas.
DOI: 10.6084/m9.figshare.8204903
title: spatialData_NumData_1000_forebrain_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204906.v1
title: spatialData_NumData_1000_midbrain_astrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204909.v1
title: spatialData_NumData_1000.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204897
title: spatialData_NumData_1000_midbrain_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204900
title: spatialData_NumData_1000_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204903.v1
title: spatialData_NumData_1000_forebrain_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204945.v3
title: Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation

description: Low-cost sensors for the measurement of fine particulate matter mass (PM<sub>2.5</sub>) enable dense networks to increase the spatial resolution of air quality monitoring. However, these sensors are affected by environmental factors such as temperature and humidity and their effects on ambient aerosol, which must be accounted for to improve the in-field accuracy of these sensors. We conducted long-term tests of two low-cost PM<sub>2.5</sub> sensors: Met-One NPM and PurpleAir PA-II units. We found a high level of self-consistency within each sensor type after testing 25 NPM and 9 PurpleAir units. We developed two types of corrections for the low-cost sensor measurements to better match regulatory-grade data. The first correction accounts for aerosol hygroscopic growth using particle composition and corrects for particle mass below the optical sensor size cut-point by collocation with reference Beta Attenuation Monitors (BAM). A second, fully-empirical correction uses linear or quadratic functions of environmental variables based on the same collocation dataset. The two models yielded comparable improvements over raw measurements. Sensor performance was assessed for two use cases: improving community awareness of air quality with short-term semi-quantitative comparisons of sites and providing long-term reasonably quantitative information for health impact studies. For the short-term case, both sensors provided reasonably accurate concentration information (mean absolute error of ∼4 µg/m<sup>3</sup>) in near-real time. For the long-term case, tested using year-long collocations at one urban background and one near-source site, error in the annual average was reduced below 1 µg/m<sup>3</sup>. Hence, these sensors can supplement sparse networks of regulatory-grade instruments, perform high-density neighborhood-scale monitoring, and be used to better understand spatial patterns and temporal air quality trends across urban areas. Copyright © 2019 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.8204897.v1
title: spatialData_NumData_1000_midbrain_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204900.v1
title: spatialData_NumData_1000_astrocyte_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204891
title: spatialData_NumData_1000_midbrain_oligodendrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204894
title: spatialData_NumData_1000_forebrain_astrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204945.v2
title: Fine particle mass monitoring with low-cost sensors: Corrections and long-term performance evaluation

description: Low-cost sensors for the measurement of fine particulate matter mass (PM<sub>2.5</sub>) enable dense networks to increase the spatial resolution of air quality monitoring. However, these sensors are affected by environmental factors such as temperature and humidity and their effects on ambient aerosol, which must be accounted for to improve the in-field accuracy of these sensors. We conducted long-term tests of two low-cost PM<sub>2.5</sub> sensors: Met-One NPM and PurpleAir PA-II units. We found a high level of self-consistency within each sensor type after testing 25 NPM and 9 PurpleAir units. We developed two types of corrections for the low-cost sensor measurements to better match regulatory-grade data. The first correction accounts for aerosol hygroscopic growth using particle composition and corrects for particle mass below the optical sensor size cut-point by collocation with reference Beta Attenuation Monitors (BAM). A second, fully-empirical correction uses linear or quadratic functions of environmental variables based on the same collocation dataset. The two models yielded comparable improvements over raw measurements. Sensor performance was assessed for two use cases: improving community awareness of air quality with short-term semi-quantitative comparisons of sites and providing long-term reasonably quantitative information for health impact studies. For the short-term case, both sensors provided reasonably accurate concentration information (mean absolute error of ∼4 µg/m<sup>3</sup>) in near-real time. For the long-term case, tested using year-long collocations at one urban background and one near-source site, error in the annual average was reduced below 1 µg/m<sup>3</sup>. Hence, these sensors can supplement sparse networks of regulatory-grade instruments, perform high-density neighborhood-scale monitoring, and be used to better understand spatial patterns and temporal air quality trends across urban areas. Copyright © 2019 American Association for Aerosol Research
DOI: 10.6084/m9.figshare.8204885
title: spatialData_NumData_1000_midbrain_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204888
title: spatialData_NumData_1000_hindbrain_neuron.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204891.v1
title: spatialData_NumData_1000_midbrain_oligodendrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204894.v1
title: spatialData_NumData_1000_forebrain_astrocyte.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.
DOI: 10.6084/m9.figshare.8204885.v1
title: spatialData_NumData_1000_midbrain_scaled.mat

description: The dataset is the basis of our analysis of correlated gene expression (CGE) in the developing mouse brain.