cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3593409
title: RONO2 and HNO3 formation rates from BEARPEX 07

description: This repository contains data from the BEARPEX07 Field campaign used in Romer et al., 2020 to calculate the formation rates of RONO2 and HNO3. For additional information about the campaign, see the campaign website: https://www.ocf.berkeley.edu/~bearpex/ <br> Reference information for the BEARPEX07 Field Campaign<br> Dates: Aug 15 - Oct 10 2007<br> Location: Blodgett Forest Research Station, Georgetown CA. 38.91 N, -120.66 W<br> Elevation: 1315 m above sea level<br> Campaign website: https://www.ocf.berkeley.edu/~bearpex/ Measurements listed:<br> utc_date: The date and time of the midpoint of the measurements, in UTC time<br> local_solar_time: The local solar time of the midpoint of the measurements, reported in Pacific Standard Time (UTC-08:00)<br> VOCR_hz: The reactivity to OH of all volatile organic compounds (VOCs), defined as the sum of the concentration of all measured VOCs multiplied by their reaction rate with OH. VOCR is reported in s^-1.<br> NO2_ppt: The concentration of NO2, measured in parts per trillion.<br> Total_RONO2_ppt: The concentration of total organic nitrates (=\(\Sigma\)ANs = \(\Sigma\)RONO2), measured in parts per trillion. Includes organic nitrates in both the gas and particle phase, but does not include HNO3 or inorganic nitrate ions.<br> Total_HNO3_ppt: The concentration of nitric acid, measured in parts per trillion. Includes both gaseous nitric acid and thermally labile particle phase nitrate ion.<br> alpha_eff: The effective organic nitrate branching ratio. Defined as the yield of RONO2 compounds when an RO2 radical reacts with NO, averaged over all RO2 species. <br> YRO2_eff: The effective yield of RO2 radicals. Defined as the yield of RO2 radicals when a VOC is oxidized by OH, averaged over all VOCs.<br> fNO_eff: The average probability that an RO2 radical will react with NO, instead of being lost through some other pathway.<br> pressure_bar: The pressure at the measurement location, measured in bar.<br> temperature_K: The temperature at the measurement location, measured in Kelvin.
DOI: 10.5281/zenodo.3593413
title: RONO2 and HNO3 formation rates from BEARPEX 09

description: This repository contains data from the BEARPEX09 Field campaign used in Romer et al., 2020 to calculate the formation rates of RONO2 and HNO3. For additional information about the campaign, see the campaign website: https://www.ocf.berkeley.edu/~bearpex/ <br> Reference information for the BEARPEX09 Field Campaign<br> Dates: Jun 15 - Jul 31 2009<br> Location: Blodgett Forest Research Station, Georgetown CA. 38.91 N, -120.66 W<br> Elevation: 1315 m above sea level<br> Campaign website: https://www.ocf.berkeley.edu/~bearpex/ Measurements listed:<br> utc_date: The date and time of the midpoint of the measurements, in UTC time<br> local_solar_time: The local solar time of the midpoint of the measurements, reported in Pacific Standard Time (UTC-08:00)<br> VOCR_hz: The reactivity to OH of all volatile organic compounds (VOCs), defined as the sum of the concentration of all measured VOCs multiplied by their reaction rate with OH. VOCR is reported in s^-1.<br> NO2_ppt: The concentration of NO2, measured in parts per trillion.<br> Total_RONO2_ppt: The concentration of total organic nitrates (=ΣANs = ΣRONO2), measured in parts per trillion. Includes organic nitrates in both the gas and particle phase, but does not include HNO3 or inorganic nitrate ions.<br> Total_HNO3_ppt: The concentration of nitric acid, measured in parts per trillion. Includes both gaseous nitric acid and thermally labile particle phase nitrate ion.<br> alpha_eff: The effective organic nitrate branching ratio. Defined as the yield of RONO2 compounds when an RO2 radical reacts with NO, averaged over all RO2 species. <br> YRO2_eff: The effective yield of RO2 radicals. Defined as the yield of RO2 radicals when a VOC is oxidized by OH, averaged over all VOCs.<br> fNO_eff: The average probability that an RO2 radical will react with NO, instead of being lost through some other pathway.<br> pressure_bar: The pressure at the measurement location, measured in bar.<br> temperature_K: The temperature at the measurement location, measured in Kelvin.
DOI: 10.17632/rvkb5mtf6h.2
title: Host CDK1-formin signal confers microvillar effacement by an attaching and effacing (A/E) pathogen

description: Raw Western Blot data
DOI: 10.21227/7ta0-9g76
title: A Blockchain-Based System for Nuclear PowerPlant Inspections

description: In order to explore the possible drawbacks of a blockchain-based system for data management for nuclear Power Plant inspections, a simulator has been implemented to recreate the scenario of an inspection. The results contain execution times, source code and instructions to deploy de simulator
DOI: 10.21227/87xk-by78
title: A Blockchain-Based System for Nuclear PowerPlant Inspections

description: In order to explore the possible drawbacks of a blockchain-based system for data management for nuclear Power Plant inspections, a simulator has been implemented to recreate the scenario of an inspection. The results contain execution times, source code and instructions to deploy de simulator
DOI: 10.25387/g3.11292143
title: Supplemental Material for Zhang et al., 2020

description: Revised supplemental text, supplemental figures S1 to S10, and supplemental tables S1 to S9 for manuscript G3/2019/400618
DOI: 10.25387/g3.11292143.v1
title: Supplemental Material for Zhang et al., 2020

description: Revised supplemental text, supplemental figures S1 to S10, and supplemental tables S1 to S9 for manuscript G3/2019/400618
DOI: 10.5281/zenodo.3593412
title: RONO2 and HNO3 formation rates from BEARPEX 09

description: This repository contains data from the BEARPEX09 Field campaign used in Romer et al., 2020 to calculate the formation rates of RONO2 and HNO3. For additional information about the campaign, see the campaign website: https://www.ocf.berkeley.edu/~bearpex/ <br> Reference information for the BEARPEX09 Field Campaign<br> Dates: Jun 15 - Jul 31 2009<br> Location: Blodgett Forest Research Station, Georgetown CA. 38.91 N, -120.66 W<br> Elevation: 1315 m above sea level<br> Campaign website: https://www.ocf.berkeley.edu/~bearpex/ Measurements listed:<br> utc_date: The date and time of the midpoint of the measurements, in UTC time<br> local_solar_time: The local solar time of the midpoint of the measurements, reported in Pacific Standard Time (UTC-08:00)<br> VOCR_hz: The reactivity to OH of all volatile organic compounds (VOCs), defined as the sum of the concentration of all measured VOCs multiplied by their reaction rate with OH. VOCR is reported in s^-1.<br> NO2_ppt: The concentration of NO2, measured in parts per trillion.<br> Total_RONO2_ppt: The concentration of total organic nitrates (=ΣANs = ΣRONO2), measured in parts per trillion. Includes organic nitrates in both the gas and particle phase, but does not include HNO3 or inorganic nitrate ions.<br> Total_HNO3_ppt: The concentration of nitric acid, measured in parts per trillion. Includes both gaseous nitric acid and thermally labile particle phase nitrate ion.<br> alpha_eff: The effective organic nitrate branching ratio. Defined as the yield of RONO2 compounds when an RO2 radical reacts with NO, averaged over all RO2 species. <br> YRO2_eff: The effective yield of RO2 radicals. Defined as the yield of RO2 radicals when a VOC is oxidized by OH, averaged over all VOCs.<br> fNO_eff: The average probability that an RO2 radical will react with NO, instead of being lost through some other pathway.<br> pressure_bar: The pressure at the measurement location, measured in bar.<br> temperature_K: The temperature at the measurement location, measured in Kelvin.
DOI: 10.7910/dvn/obww3j/cyqjai
title: ds09.tab

description: The dataset to plot the contours of K mixing ratio and isotopic composition of the vapor that escapes beyond the transonic point as functions of Earth-Moon distance and melt temperature for the surface LMO in Figure 9 by using Equation (30). The value of δ41Kesc is calculated relative to the composition in the LMO.
DOI: 10.7910/dvn/obww3j/dj3grv
title: ds04.tab

description: The dataset to calculate the values of temperature (T), pressure (P), optical depth (τ), and Knudson number (Kn) as functions of altitude above the LMO in Figure 3. The melt temperature is 1800 K and the ambient pressure at ground level is 10^-7 bar. With this T-P condition, the atmosphere is optically thin throughout and the transonic point is at an altitude of 1800 km. The values of temperature, pressure, and optical depth are calculated using Equation (17) to (21)
DOI: 10.7910/dvn/obww3j/ipcmlg
title: ds01.tab

description: The dataset to calculate the ratio of Jnet/Jevap for K as a function of time and size of the evaporating body at 1800K and a total pressure of 2x10^-7 bar in Figure 1A following Equation (4) and (5). Jevap is calculated using the evaporation code described by Young et al. (2019) and in the text. After ~ 4 days, the ratio of Jnet/Jevap for K approached 0.001 and the saturation thereby is close to 99.9% for the body with the radius of 500 km. 1000 km, and Moon’s radius (1700 km).
DOI: 10.7910/dvn/obww3j/xfxv9a
title: ds07.tab

description: The dataset to plot the integrated evaporation flux and hydrodynamic escape flux corresponding to the surface ambient pressure and surface melt temperatures (1800 K to 2000 K) by using our KNFCMAS code and Equation (28) in Figure 6 in order to determine the steady-state near-surface pressures of the lunar rock vapor atmosphere.
DOI: 10.17632/7tjxfn9b84.1
title: RNA-Seq Reveal Role of Bovine TORC2 in the Regulation of Adipogenesis

description: 2.6. Construction of RNA-Seq library, quality control and sequencing After 6 days of treatment, the adipocytes total RNA was extracted (siTORC2 and siNC; n=6), The mRNA was enriched by oligo (dT) beads, and was fragmented into short fragments through fragmentation buffer, then reverse transcribed into cDNA using random primers. The second strand cDNA was generated by DNA polymerase 1, dNTP, buffer, and RNase H. The cDNA fragments were purified through QiaQuick PCR extraction kit, then end repaired. Poly (A) was added, and then ligated to Illumina sequencing adapters. Ligation products were size selected by agarose gel electrophoresis, PCR amplification, and then sequenced using Illumina HiSeq2500 by Gene Denovo Biotechnology Co. (Guangzhou, China). After filtration clean reads were obtained, which were used for subsequent analysis (Figure S2). 2.7. DEG identification The edgeR package (http://www.r-project.org/) was used for the identification of DEGs within samples. Significant DEGs were compared with a fold change of ≥1.5 and a false discovery rate &lt; 0.05. The DEGs were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and enrichment analysis of Gene Ontology (GO). 2.8. Functional Enrichment Analysis Online DAVID (visualization and integration discovery) software (https://david.ncifcrf.gov/) was used for functional annotation DEGs of the GO terms including biological process (BP), cellular component (CC), and molecular function (MF) enrichment analysis [23]. Additionally, KEGG Orthology based annotation system (KOBAS) software version 3.0 China (http://kobas.cbi.pku.edu.cn/) was used for KEGG pathway enrichment analysis. A P-value &lt; 0.05 was considered as significant enrichment. Furthermore, we used Reactome pathway analysis tool for the visualization and interpretation of the annotated pathways enriched by the DEGs [24].
DOI: 10.17632/dd4w2c28yn.1
title: Effect of ELOVL6 on the Lipid Metabolism of Bovine Adipocytes

description: 1. Construction of RNA-Seq library, quality control and sequencing After 6 days of differentiation, the adipocytes total RNA was extracted (OE-ELOVL6 and OE-NC; n=6), The mRNA was enriched by oligo (dT) beads, and was fragmented into short fragments through fragmentation buffer, then reverse transcribed into cDNA using random primers. The second strand cDNA was generated by DNA polymerase 1, dNTP, buffer, and RNase H. The cDNA fragments were purified through QiaQuick PCR extraction kit, then end repaired. Poly (A) was added, and then then ligated to Illumina sequencing adapters. Ligation products were size selected by agarose gel electrophoresis, PCR amplification, and then sequenced using Illumina HiSeq2500 by Gene Denovo Biotechnology Co. (Guangzhou, China). 3. DEG identification The edgeR package (http://www.r-project.org/) was used for the identification of DEGs within samples. Significant DEGs were compared with a fold change of ≥ ±1.5 and a false discovery rate &lt; 0.05. The DEGs were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and enrichment analysis of Gene Ontology (GO). 3. Functional Enrichment Analysis We used online DAVID (visualization and integration discovery) software (https://david.ncifcrf.gov/) for functional annotation DEGs of the Gene Ontology (GO)[Biological Process (BP), Cellular Component (CC), and Molecular Function (MF)] term enrichment analysis [29]. Additionally, KEGG Orthology based annotation system (KOBAS) software version 3.0 China (http://kobas.cbi.pku.edu.cn/) was used for KEGG pathway enrichment analysis. A P-value &lt; 0.05 was considered as significant enrichment.
DOI: 10.6073/pasta/34b6a7bbe47f9398ff7f5a748f90e838
title: Aboveground net primary productivity data for Saddle grid, 1992 - ongoing.

description: Total aboveground live vascular biomass was clipped from 50x20 cm plots in areas near the saddle grid permanent plots on Niwot Ridge to measure net primary productivity.
DOI: 10.17632/jdbhfj6btd.4
title: Data for: BIAS AND OTHER ERROR IN GRIDDED WEATHER DATA SETS FOR THE PURPOSE OF ESTIMATING REFERENCE EVAPOTRANSPIRATION

description: Supplemental figures to complement the Agricultural Water Management Article "BIAS AND OTHER ERROR IN GRIDDED WEATHER DATA SETS FOR THE PURPOSE OF ESTIMATING REFERENCE EVAPOTRANSPIRATION"
DOI: 10.21227/y778-dn57
title: Simulation data for a Monte Carlo Wave-Particle Event-Based Interaction Model

description: The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
DOI: 10.17632/rrfxvm94jj.1
title: Data for: Multi-Objective Optimization of a Free-Piston Vuilleumier Heat Pump Using a Genetic Algorithm

description: Simulation result of the heating and cooling mode.
DOI: 10.17632/y28byppkmc.1
title: Data for: Acitretin Inhibits IL-17A-induced IL-36 Expression in Keratinocytes by Down-regulating IκBζ
DOI: 10.21227/x628-qs88
title: Simulation data for a Monte Carlo Wave-Particle Event-Based Interaction Model

description: The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.
DOI: 10.17632/mkwpm4yd3z.1
title: Data for: Positional Momentum and Liquidity Management; A Bivariate Rank Approach

description: This data is a cleaned data, that I computed from stock prices and trade volumes from Bloomberg.
DOI: 10.5281/zenodo.3592941
title: Predicting evaporation from mountain streams -- data set

description: These files constitute the data sets used for the analysis, and generation of figures and tables reported in the manuscript titled "Predicting evaporation from mountain streams" by Andras J. Szeitz and R. Dan Moore. The manuscript was submitted for publication in the journal 'Hydrological Processes'.
DOI: 10.5281/zenodo.3592942
title: Predicting evaporation from mountain streams -- data set

description: These files constitute the data sets used for the analysis, and generation of figures and tables reported in the manuscript titled "Predicting evaporation from mountain streams" by Andras J. Szeitz and R. Dan Moore. The manuscript was submitted for publication in the journal 'Hydrological Processes'.
DOI: 10.17632/c7mn52nzgg.1
title: Data for: The Risk of Fracture to the Tibia from a Fragment Simulating Projectile

description: Demographic, injury, and statistical data
DOI: 10.5281/zenodo.3591804
title: Plant regeneration in leaf culture of Centaurium erythraea Rafn. Part 3: de novo transcriptome assembly and validation of housekeeping genes for studies of in vitro morphogenesis

description: Six centaury transcriptomes (embryogenic calli, globular somatic embryos, cotyledonary somatic embryos, adventitious buds, leaves and roots of <em>in vitro</em> grown plants) were sequenced and <em>de novo</em> assembled using Trinity . CE_Assembly.tar.gz - Centaury referent transcriptome comprises of 160.839 Trinity transcripts grouped in 105.726 Trinity genes. CE_Assembly_fpkm.tar.gz - fpkm normalized read counts of the assembled transcripts in the six sequenced centaury tissues. nt.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against NCBI nucleotide (NT) database using BLASTn . The obtained results were filtered with E-value E ≤ 10<sup>-3</sup>. swissprot.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against NCBI nucleotide (swissprot) database using BLASTx . The obtained results were filtered with E-value E ≤ 10<sup>-3</sup>. pfam30.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against Pfam30 domain database using hmmer3. The obtained results were filtered with independent E-value E ≤ 10<sup>-3</sup>.
DOI: 10.5281/zenodo.3591805
title: Plant regeneration in leaf culture of Centaurium erythraea Rafn. Part 3: de novo transcriptome assembly and validation of housekeeping genes for studies of in vitro morphogenesis

description: Six centaury transcriptomes (embryogenic calli, globular somatic embryos, cotyledonary somatic embryos, adventitious buds, leaves and roots of <em>in vitro</em> grown plants) were sequenced and <em>de novo</em> assembled using Trinity . CE_Assembly.tar.gz - Centaury referent transcriptome comprises of 160.839 Trinity transcripts grouped in 105.726 Trinity genes. CE_Assembly_fpkm.tar.gz - fpkm normalized read counts of the assembled transcripts in the six sequenced centaury tissues. nt.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against NCBI nucleotide (NT) database using BLASTn . The obtained results were filtered with E-value E ≤ 10<sup>-3</sup>. swissprot.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against NCBI nucleotide (swissprot) database using BLASTx . The obtained results were filtered with E-value E ≤ 10<sup>-3</sup>. pfam30.db_CE_assembly.tar.gz - annotation of assembled transcripts by mapping them against Pfam30 domain database using hmmer3. The obtained results were filtered with independent E-value E ≤ 10<sup>-3</sup>.
DOI: 10.5281/zenodo.3594092
title: Mock UV dataset of Saturn

description: Mock UV dataset of Saturn conforming to CASA baseline conventions.
DOI: 10.5281/zenodo.3594093
title: Mock UV dataset of Saturn

description: Mock UV dataset of Saturn
DOI: 10.17632/tc9vf5jb6m.1
title: Data for: Sex-Age Stereotyping: Social Perceivers as Lay Adaptationists

description: SPSS data files and syntax for all studies
DOI: 10.17632/wwmnrp4xhy.3
title: Data for: The macroalgal ensemble of Golfo Nuevo (Patagonia, Argentina) as a potential source of valuable fatty acids for nutritional and nutraceutical purposes

description: This dataset contains the lipid and fatty acid content and profile in triplicate biological samples of fifteen macroalgal species from northern patagonia
DOI: 10.7910/dvn/0nlh95/aix5od
title: s1w1t1_Jennifer_0606y2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/pfiize
title: s2w4t1_jennifer_0612yr2019.tdr

description: :unav
DOI: 10.5281/zenodo.3592836
title: Mining area São Paulo and Brazil

description: Table S1. Limestone mining area of the State of São Paulo; Table S2. Limestone mining titles of the whole Brazilian territory, divided into federative unities.
DOI: 10.5281/zenodo.3592837
title: Mining area São Paulo and Brazil

description: Table S1. Limestone mining area of the State of São Paulo; Table S2. Limestone mining titles of the whole Brazilian territory, divided into federative unities.
DOI: 10.7910/dvn/0nlh95/ch5r30
title: s1w5t1_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/eigpst
title: s2w5t1_jennifer_0612yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/kyz1sl
title: s2w2t1_jennifer_0612yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/qskah0
title: 3dcsv_0001.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/rewo7o
title: s1w3t1_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/ruz4zi
title: s1w1t1_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/sni7on
title: s1w4t1_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/udpput
title: s2w3t1_jennifer_0612yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/bfmr2a
title: s1w1t1_Jennifer_0606y2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/igwvtx
title: s1w2t1_jennifer_0611yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/jd0uyj
title: s2w1t1_jennifer_0612yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/kfi57n
title: s2w3t1_jennifer_0612yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/llzcod
title: s2w1t1_jennifer_0612yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/nkkrgp
title: s2w5t1_jennifer_0612yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/tvrp8k
title: s1w1t2_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/xhznsg
title: s1w5t1_jennifer_0611yr2019.csv

description: :unav
DOI: 10.21227/azdg-sb30
title: A labeled dataset of tongue images

description: This is a tongue image dataset collected from the inpatient elderly population at a tertiary hospital in Shanghai, China. The data acquisition device, we called the intelligent mirror, is a light-field camera using CIE L*a*b* (CIELAB) with a patent number as CN201520303463.5. The main parameters produced by the intelligent mirror initially are the color of the tongue, tongue coating, lip, and face. We manually labeled the dataset with several other parameters based on traditional Chinese medicine, including tongue shape, size, the degree of smooth or shiny, and the judgment of tooth marks or fissured tongue. This original and continuously growing dataset is suitable as secondary materials to understand the clinical interoperability between Chinese and Western medicine. Another possible future application lies in the commercial field, which is to be the training set as adjuvant therapy deep learning via mHealth tools.
DOI: 10.5281/zenodo.3593092
title: weecology/forecasts 2019-12-26

description: Archived forecasts for future analysis
DOI: 10.7910/dvn/0nlh95/0kwepq
title: s4w5t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/bp0agy
title: s1w4t1_jennifer_0611yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/eipcvf
title: s1w1t2_jennifer_0611yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/jy6k1k
title: s1w2t1_jennifer_0611yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/mequql
title: s2w2t1_jennifer_0612yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/thkd9t
title: s2w4t1_jennifer_0612yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/vjzaup
title: s3w4t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/0c3zf1
title: s3w1t1_jennifer_0613yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/1nuis3
title: s3w2t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/kmtggl
title: s4w3t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/l8gklv
title: s3w5t2_kelsey_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/np4udy
title: s3w1t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/pltjwe
title: s4w2t1_jennifer_0613yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/q7pnk8
title: s3w3t1_jennifer_0613yr2019.csv

description: :unav
DOI: 10.7910/dvn/0nlh95/ronf1g
title: s3w4t1_jennifer_0613yr2019.tdr

description: :unav
DOI: 10.7910/dvn/0nlh95/x9jprr
title: s4w4t1_jennifer_0613yr2019.csv

description: :unav