cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sk5jhk6s8s.1
title: Data for: An improved neural network for TOC, S1 and S2 estimation based on conventional well logs
DOI: 10.17632/wgb4zkj4mc.1
title: Data for: What Causes a Business and Management Education Article to Be Cited: Article, Author, or Journal?

description: A database of nearly 600 articles published between 2006 and 2010 used to study predictors of BME article citation.
DOI: 10.17632/zm4kh5m4rd.1
title: Data for: Value Investing with Dividend-to-Market Ratio

description: This file contains monthly returns of long/short net cash flow yield (NCFY) factors.
DOI: 10.5061/dryad.2ts8094/10
title: Grieneisen_etal_SupplementaryTables

description: Supplemental tables
DOI: 10.5061/dryad.2ts8094/8
title: otu_table_no_singletons_CSS_transformed
DOI: 10.5061/dryad.326qs26/1
title: Simulated EMG, force, and impulse train signals

description: Simulated muscle force, electromyography (EMG), and motor unit (MU) impulse train signals of a rectus abdominis muscle consisting of six simulated muscle bellies, each consisting of 50 motor units (MUs). The data are in the MATLAB .mat file format and can be imported, e.g., using GNU Octave.
DOI: 10.5061/dryad.326qs26/2
title: Data loading and plotting demo script

description: MATLAB script file to demonstrate loading and plotting the data contained in "Simulation_data_rectus_abdominis_Petersen_Rostalski_2018.mat".
DOI: 10.5061/dryad.326qs26/3
title: Simulation configuration file

description: Configuration file containing the definitions of all physiological and computational parameters required for running the simulation that generated the data contained in "Simulation_data_rectus_abdominis_Petersen_Rostalski_2018.mat". This is an R script file, to be executed using the R programming language and computing environment.
DOI: 10.5061/dryad.326qs26/4
title: README
DOI: 10.5061/dryad.4c039m4/1
title: Dryad_Drag_penalty_of_pregnancy
DOI: 10.5061/dryad.4h9170k/1
title: Heteronotia binoei pheromone data

description: Pheromone data for 10 genetically divergent lineages of the Bynoe's gecko (Heteronotia binoei). The data includes raw pheromone peak areas yielded from gas chromatography characterization, total ion currents, the proportion of each pheromone peak, and log-contrast transformed pheromone peaks.
DOI: 10.5061/dryad.5501rv4/1
title: Supplementary_Archives
DOI: 10.5061/dryad.57k73c3/1
title: Data from: A simple micropump based on a freeze-dried superabsorbent polymer for multiplex solution processing in disposable devices

description: The data present mainly the performances and characterization of the superabsorbent polymer-based micropump. Specifically, the data include the comparison of the absorbing rate and capacity using SAP, comparison of SAP with other absorbent materials,comparison of the SAP pump with tissue paper pump, influence of the SAP-CA ratio on rate of absorption, influence of NaCl on the rate of absorption of SAP, solution displacement by the SAP pump, the influence of the size of SP disc, dimension of the flow channel on the pumping rate and current response on different concentration of glucose. Supporting movie 1, 2, 3 and 4 show the operation principle of the SAP pump, continuous flow of solutions for long time, multiple pumping realized with SAP pump and multiplex processing of solution with SAP pump and switchable valve respectively.
DOI: 10.5061/dryad.5q0g45h/1
title: Eclipse CDT code analysis and unit testing
DOI: 10.5061/dryad.60vk297/2
title: Subroutines for damage and stress analysis

description: MATLAB subroutines used to calculate probability of failure and stresses in a hierarchical composite
DOI: 10.5061/dryad.6vg974n/1
title: Supplementary data and code

description: Contains scripts used to conduct the macroevolutionary analysis described in the manuscript, as well as output from RAxML tree searches and CONSEL analyses.
DOI: 10.5061/dryad.78nb548/1
title: Data files for Seedless gold nanostars with seed-like advantages for biosensing applications

description: The data files contain data for figures 1 through to 6. Data for Figure 1 is an MS Excel Worksheet with the UV-visible spectral read from the HT Synergy (BioTEK). Data for Figure 2 are TEM images of the differently synthesized gold nanostars. The rest of the data files are a mixture of MS Excel Worksheets and Images.
DOI: 10.5061/dryad.78nb548/2
title: HEPES Modified One-Pot Synthetic Strategy for Gold Nanostars

description: This is the unpublished paper we cited in our manuscript. It has been submitted for publishing with Analytical Biochemistry Journal. It is preprint at this stage.
DOI: 10.5061/dryad.937s9n4/10
title: FolN_98_99_Info

description: Column information for FolN_98_99
DOI: 10.5061/dryad.937s9n4/7
title: BAplot_info

description: Column information for BAplot
DOI: 10.5061/dryad.937s9n4/8
title: BAplot

description: Plot basal area
DOI: 10.5061/dryad.937s9n4/9
title: FolN_98_99

description: Leaf N concentration
DOI: 10.5061/dryad.97kg689/2
title: Genotypes

description: Genotypic profiles of the 125 identified individuals in this study at 17 microsatellite loci. Missing alleles are indicated by a three-hyphen string. Hemizygotes were obtained by scoring at least twice an allele in two independent PCRs. ID: identifier; S: sex.
DOI: 10.5061/dryad.97kg689/3
title: Geographic coordinates

description: Geographic coordinates, collection date and corresponding genotype of the 279 faecal gorilla samples analysed in this study. ID: identifier.
DOI: 10.5061/dryad.bq862p1/1
title: Complete dataset

description: Dataset with all variables (climatic and colour) used for analyses in manuscript. Some variables were log-transformed in the models, details are given in the manuscript.
DOI: 10.5061/dryad.bq862p1/2
title: Trees used in analyses

description: 4500 phylogenetic trees used in comparative analyses. File that matches tree tips and data rows is found as a tab in the complete dataset file.
DOI: 10.5061/dryad.bq862p1/3
title: XML file used in BEAST

description: XML file with details on BEAST analyses
DOI: 10.5061/dryad.bt6p645/1
title: RSOS-182054--Raw Data
DOI: 10.5061/dryad.kd1qt0p/14
title: Figure 6 - source data 1

description: This zip archive contains the original z-stacks used for Figure 6, panels A and C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS309_s1_t1 = WT USI, Dilution factor = 1
A7PS309_s2_t1 = WT USI, Dilution factor = 1/2
A7PS309_s3_t1 = WT USI, Dilution factor = 1/4
A7PS309_s4_t1 = WT USI, Dilution factor = 1/8
A7PS309_s17_t1 = Rag1KO USI, Dilution factor = 1
A7PS309_s18_t1 = Rag1KO USI, Dilution factor = 1/2
A7PS309_s19_t1 = Rag1KO USI, Dilution factor = 1/4
A7PS309_s20_t1 = Rag1KO USI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 6, panels A and C.
DOI: 10.5061/dryad.kd1qt0p/15
title: Figure 6 - source data 2

description: This zip archive contains the original z-stacks used for Figure 6, panels B and D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS309_s9_t1 = WT LSI, Dilution factor = 1
A7PS309_s10_t1 = WT LSI, Dilution factor = 1/2
A7PS309_s11_t1 = WT LSI, Dilution factor = 1/4
A7PS309_s12_t1 = WT LSI, Dilution factor = 1/8
A7PS309_s25_t1 = Rag1KO LSI, Dilution factor = 1
A7PS309_s26_t1 = Rag1KO LSI, Dilution factor = 1/2
A7PS309_s27_t1 = Rag1KO LSI, Dilution factor = 1/4
A7PS309_s28_t1 = Rag1KO LSI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 6, panels B and D.
DOI: 10.5061/dryad.kd1qt0p/16
title: Figure 7 - source data 1

description: This zip archive contains the original z-stacks used for Figure 7, panel A. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS320_s1_t1 = 6.66 mg/mL Pectin
A7PS320_s2_t1 = 3.33 mg/mL Pectin
A7PS320_s3_t1 = 1.67 mg/mL Pectin
A7PS320_s4_t1 = 0.835 mg/mL Pectin
A7PS320_s5_t1 = 0.417 mg/mL Pectin
A7PS320_s6_t1 = 0.209 mg/mL Pectin
A7PS320_s7_t1 = 0.105 mg/mL Pectin
A7PS320_s8_t1 = 0.053 mg/mL Pectin
A7PS320_s11_t1 = 236 mg/mL Fibersol-2
A7PS320_s12_t1 = 118 mg/mL Fibersol-2
A7PS320_s13_t1 = 59.0 mg/mL Fibersol-2
A7PS320_s14_t1 = 29.5 mg/mL Fibersol-2
A7PS320_s15_t1 = 14.8 mg/mL Fibersol-2
A7PS322_s1_t1 =  6.66 mg/mL Fibersol-2
A7PS322_s2_t1 =  3.33 mg/mL Fibersol-2
A7PS322_s3_t1 =  1.67 mg/mL Fibersol-2
A7PS322_s4_t1 =  0.835 mg/mL Fibersol-2
A7PS322_s5_t1 =  0.417 mg/mL Fibersol-2
A7PS322_s6_t1 =  0.209 mg/mL Fibersol-2
A7PS322_s7_t1 =  0.105 mg/mL Fibersol-2
A7PS322_s8_t1 =  0.053 mg/mL Fibersol-2


Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to this paper to generate Figure 7, panel A.
DOI: 10.5061/dryad.kd1qt0p/17
title: Figure 7 - source data 2

description: This zip archive contains the original z-stacks used for Figure 7, panel E. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS313_s17_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1
A7PS313_s18_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/2
A7PS313_s19_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/4
A7PS313_s20_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/8
A7PS313_s21_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/16
A7PS313_s22_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/32
A7PS313_s23_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/64
A7PS313_s24_t1 = 30-µm-filtered Pectin USI, Dilution factor = 1/128
A7PS314_s17_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1
A7PS314_s18_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/2
A7PS314_s19_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/4
A7PS314_s20_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/8
A7PS314_s21_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/16
A7PS314_s22_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/32
A7PS314_s23_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/64
A7PS314_s24_t1 = 30-µm-filtered Fibersol-2 USI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel E.
DOI: 10.5061/dryad.kd1qt0p/18
title: Figure 7 - source data 3

description: This zip archive contains the original z-stacks used for Figure 7, panel F. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS313_s1_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1
A7PS313_s2_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/2
A7PS313_s3_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/4
A7PS313_s4_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/8
A7PS313_s5_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/16
A7PS313_s6_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/32
A7PS313_s7_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/64
A7PS313_s8_t1 = 0.45-µm-filtered Pectin USI, Dilution factor = 1/128
A7PS314_s1_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1
A7PS314_s2_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/2
A7PS314_s3_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/4
A7PS314_s4_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/8
A7PS314_s5_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/16
A7PS314_s6_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/32
A7PS314_s7_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/64
A7PS314_s8_t1 = 0.45-µm-filtered Fibersol-2 USI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel F.
DOI: 10.5061/dryad.kd1qt0p/19
title: Figure 7 - source data 4

description: This zip archive contains the original z-stacks used for Figure 7, panel G. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS318_s1_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/4
A7PS318_s2_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/8
A7PS318_s3_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/16
A7PS318_s4_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/32
A7PS318_s5_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/64
A7PS318_s6_t1 = 30-µm-filtered Pectin LSI, Dilution factor = 1/128
A7PS314_s25_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1
A7PS314_s26_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/2
A7PS314_s27_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/4
A7PS314_s28_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/8
A7PS314_s29_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/16
A7PS314_s30_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/32
A7PS314_s31_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/64
A7PS314_s32_t1 = 30-µm-filtered Fibersol-2 LSI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel G.
DOI: 10.5061/dryad.kd1qt0p/20
title: Figure 7 - source data 5

description: This zip archive contains the original z-stacks used for Figure 7, panel H. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS313_s9_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1
A7PS313_s10_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/2
A7PS313_s11_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/4
A7PS313_s12_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/8
A7PS313_s13_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/16
A7PS313_s14_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/32
A7PS313_s15_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/64
A7PS313_s16_t1 = 0.45-µm-filtered Pectin LSI, Dilution factor = 1/128
A7PS314_s9_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1
A7PS314_s10_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/2
A7PS314_s11_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/4
A7PS314_s12_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/8
A7PS314_s13_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/16
A7PS314_s14_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/32
A7PS314_s15_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/64
A7PS314_s16_t1 = 0.45-µm-filtered Fibersol-2 LSI, Dilution factor = 1/128
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 7, panel H.
DOI: 10.5061/dryad.kd1qt0p/21
title: Figure 5 - figure supplement 1 - source data 1

description: This zip archive contains the original z-stacks used for This zip archive contains the original z-stacks used for Figure 5 - figure supplement 1, panels A and C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS302_s1_t1 = WT USI, Dilution factor = 1
A7PS302_s2_t1 = WT USI, Dilution factor = 1/2
A7PS302_s3_t1 = WT USI, Dilution factor = 1/4
A7PS302_s4_t1 = WT USI, Dilution factor = 1/8
A7PS302_s17_t1 = MUC2KO USI, Dilution factor = 1
A7PS302_s18_t1 = MUC2KO USI, Dilution factor = 1/2
A7PS302_s19_t1 = MUC2KO USI, Dilution factor = 1/4
A7PS302_s20_t1 = MUC2KO USI, Dilution factor = 1/8
A7PS284_s13_t1 = HBSS

Additionally, this file contains .csv files of all the statistics on particle sizes collected by the ImageJ macro. These are labeled in the format “zstackname_automated_counting_statistics”, where “zstackname” is the title of the associated z-stack. It also contains a .csv file of the particle # IDs of the singlet particles that were used to get the average singlet size, which was then used to normalize the ECDFs (as explained in detail in Materials and Methods). These are labeled in the format “zstackname_singlet_IDs”, where “zstackname” is the title of the associated z-stack. These .csv files were used in combination with the Jupyter notebooks (provided with this submission) to generate Figure 5 - figure supplement 1, panels A and C.
DOI: 10.5061/dryad.n109f8t/1
title: Table A1

description: Citizen scientists collected observational data of common loon Gavia immer chick survival across five sub-regions of Southcentral Alaska; Anchorage, Joint Base Elmendorf-Richardson (JBER), Kenai Peninsula (Kenai), Matanuska-Susitna Valley (Mat-Su) and Outlying, 1985-2015.  Data is summarized by sub-region, location or town within the sub-region, name of lake observed, year of observation, number of nesting pairs, number of chicks hatched per breeding pair and number of chicks that survived past the defined survival threshold (16 September for common loon, 26 August for Pacific loon). A metadata (data dictionary) file is associated with the data file.
DOI: 10.5061/dryad.n109f8t/2
title: Table A2

description: Citizen scientists collected data on anthropogenic and natural disturbances for lakes observed in the five sub-regions of Southcentral Alaska; Anchorage, Joint Base Elmendorf-Richardson (JBER), Kenai Peninsula (Kenai), Matanuska-Susitna Valley (Mat-Su) and Outlying, 1985-2015. Anthropogenic disturbances include: swimming, fishing, non-motor craft, motor boats, jet skis, float planes and dogs. Natural disturbances include: eagles, mammals and flooding. Disturbance is summarized by frequency of occurrence; daily, weekly, monthly, occasionally or never occurred. A metadata (data dictionary) file is included in this data file.
DOI: 10.5061/dryad.n109f8t/3
title: Table A3

description: Presence or absence of common loon Gavia immer and Pacific loon Gavia pacifica on lakes observed by citizen scientists in five sub-regions of Southcentral Alaska; Anchorage, Joint Base Elmendorf-Richardson (JBER), Kenai Peninsula (Kenai), Matanuska-Susitna Valley (Mat-Su) and Outlying, 1985-2015. Adults and chicks are ranked as (1) if present or (0) is absent from an observed lake. A metadata (data dictionary) file is associated with this data file.
DOI: 10.5061/dryad.n109f8t/4
title: Table A4

description: Number of structures located within a 150m buffer of lakes observed by citizen scientists in five sub-regions of Southcentral Alaska; Anchorage, Joint Base Elmendorf-Richardson (JBER), Kenai Peninsula (Kenai), Matanuska-Susitna Valley (Mat-Su) and Outlying, 1985-2015. Only lakes with a least 3 observations over a 5 year period and only years where Google Earth imagery was available were included in the analysis. A metadata (data dictionary) file is associated with this data file.
DOI: 10.5061/dryad.p698mn7/15
title: Methods_e-1_Cohort_background

description: Methods e-1 Cohort background, migraine assessment method, and sampling procedure.
DOI: 10.5061/dryad.p698mn7/16
title: Figure_e-1_Influence_of_Heritability

description: Figure e-1: Influence of heritability on metabolite estimates and log p-values in ERF and NTR.
DOI: 10.5061/dryad.p698mn7/17
title: Figure_e-2_Ratio_stratification_plots_migraine_smoking

description: Figure e-2: ApoA1 and S-HDL-FC ratio stratification plots for migraine and smoking in NESDA and LUMINA.
DOI: 10.5061/dryad.p698mn7/18
title: Figure_e-3_Ratio_stratification_plots_migraine_lipid_lowering_medication

description: Figure e-3: ApoA1 and S-HDL-FC ratio stratification plots for migraine and lipid lowering medication usage in NESDA and LUMINA.
DOI: 10.5061/dryad.p698mn7/19
title: Figure_e-4_Ratio_stratification_plots_migraine_fasting

description: Figure e-4: ApoA1 and S-HDL-FC ratio stratification plots for migraine and fasting in NESDA and LUMINA.