cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wrnw5tngpt.1
title: Data for: Measuring the Trilemma in Electricity Markets with Respect to Market Openness in OECD Countries: A Composite Index Approach

description: Data and analysis of underlying the paper
DOI: 10.5061/dryad.1619515/2
title: binary

description: 24h and 72h toad survival at desiccation enclosures
DOI: 10.5061/dryad.1619515/3
title: groundcover_dessi

description: Visual estimates of groundcover at desiccation enclosures and soil moisture data
DOI: 10.5061/dryad.1619515/4
title: loggy

description: 24h water loss from toads among forest types at desiccation enclosures
DOI: 10.5061/dryad.1619515/5
title: movement_rates

description: Movement rates of toads captured within runway experiment
DOI: 10.5061/dryad.1619515/6
title: runway_data

description: Proportion of toads captured within runway experiment
DOI: 10.5061/dryad.1619515/8
title: Analyses

description: This file provides the statistical code used with each dataset in the manuscript
DOI: 10.5061/dryad.1fc75v6/1
title: Matlab code for the individual-based simulation model

description: The simulation code consists of 18 m-files and one program written in C. This folder also contains input data used in the manuscript. The main simulation program is variance_model.m, which calls 16 sub-models. master_wn_125.m is where the user can specify input parameter values and run the program. This code was developed in Matlab 2016b.
DOI: 10.5061/dryad.2ts8094/1
title: geographic_distance_matrix_in_km
DOI: 10.5061/dryad.2ts8094/2
title: geology_bray-curtis

description: Geological Bray-Curtis distance calculated from: Beicip. 1987 Geological Map of Kenya.  (1987 ed. Rueil-Malmaison, France, Ministry of Regional and Energy Development of Kenya.
DOI: 10.5061/dryad.2ts8094/3
title: population_FST
DOI: 10.5061/dryad.2ts8094/4
title: vegetation_bray-curtis

description: Vegetation values derived from: Mayaux, P., Bartholomé, E., Fritz, S. & Belward, A. 2004 A new land-cover map of Africa for the year 2000. J. Biogeogr. 31, 861-877. (doi:10.1111/j.1365-2699.2004.01073.x).
DOI: 10.5061/dryad.2ts8094/5
title: environmental_metadata

description: Environmental variables from Batjes, N. & Gicheru, P. 2004 Soil data derived from SOTER for studies of carbon stocks and change in Kenya (GEF-SOC Project; Version 1.0). ISRIC report 1.
DOI: 10.5061/dryad.2ts8094/6
title: hybrid_score

description: Individual level hybrid score, as calculated in TESS.
DOI: 10.5061/dryad.2ts8094/7
title: lynch_ritland_relatedness

description: Pairwise genetic relatedness (Lynch-Ritland)
DOI: 10.5061/dryad.3n6qm3p/1
title: Data

description: All data files pertaining to the submitted manuscript, with analyses and R scripts for graphs where appropriate.
DOI: 10.5061/dryad.3n6qm3p/2
title: Experiment 1

description: All files pertaining to results from Experiment 1.
DOI: 10.5061/dryad.3n6qm3p/3
title: Experiment 2 Chi Squared

description: All files pertaining to the chi squared analysis of experiment 2.
DOI: 10.5061/dryad.3n6qm3p/4
title: Experiment 2 General Files

description: Raw data, R scripts, and graphs pertaining to experiment 2.
DOI: 10.5061/dryad.3n6qm3p/5
title: Experiment 2 LDA

description: Files pertaining to the LDA analysis of experiment 2, including data files and R script.
DOI: 10.5061/dryad.4jh5860/1
title: Morphological Data of Aquilegia ecalcarata and its Relatives
DOI: 10.5061/dryad.60vk297/1
title: main_testerr_stressAnalysis

description: MATLAB code for stress analysis in a hierarchical composite
DOI: 10.5061/dryad.6760md8/2
title: Hypercapnia Trials

description: Data was collected from nine Damaraland mole rats in laboratory conditions, using Labchart software. Animals were exposed to 1-hr stages of 0, 2, 5, 7, 10% CO2, 21% O2, balance N2. Abbreviations in data files: % O2 - % outflowing O2, % CO2 - % outflowing CO2, BL - pressure deflections adjusted for baseline drift throughout trial, Neg Int - Integration of all pressure values below zero; -BL - BL data * -1
DOI: 10.5061/dryad.6760md8/3
title: Normocapnia trials

description: Data was collected from nine Damaraland mole rats in laboratory conditions, using Labchart software. Animals were exposed to 5 hrs of 0% CO2, 21% O2, balance N2. Abbreviations in data files: % O2 - % outflowing O2; % CO2 - % outflowing CO2; BL - pressure deflections adjusted for baseline drift throughout trial; Neg Int - Integration of all pressure values below zero; -BL - BL data * -1
DOI: 10.5061/dryad.6f60v3q/1
title: Archived data JEcol-2018-0791.R1
DOI: 10.5061/dryad.6t7sh85/1
title: Alignment S1-S5

description: FASTA Alignments of sequences (atp6, gpd, RPB2, EF-1α, ITS)
DOI: 10.5061/dryad.834g5n6/1
title: Gymnocarpos przewalskii ssr

description: SSR data for Gymnocarpos przewalskii
DOI: 10.5061/dryad.937s9n4/1
title: PlasticN.moaf_data

description: Individual root observations
DOI: 10.5061/dryad.937s9n4/2
title: PlasticN.moaf_info

description: Column information for PlasticN.moaf
DOI: 10.5061/dryad.937s9n4/3
title: PlasticN.PdMtCp_data

description: Time series of fine-root production, mortality and standing crop summarized for each minirhizotron tube
DOI: 10.5061/dryad.937s9n4/4
title: PlasticN.PdMtCp_info

description: Column information for PlasticN.PdMtCp
DOI: 10.5061/dryad.937s9n4/5
title: SOILTv5.2_data

description: Hourly soil temperature data
DOI: 10.5061/dryad.937s9n4/6
title: SOILTv5.2_info

description: Column information for SOILTv5.2_data
DOI: 10.5061/dryad.c115v23/2
title: Supplemental Figures and Tables
DOI: 10.5061/dryad.d3n7bs7/1
title: Hawaiian Cyrtandra genotypes

description: Genotypes based on SNPs for nine single-copy nuclear genes in Hawaiian Cyrtandra species and hybrids.
DOI: 10.5061/dryad.fb821k5/2
title: Wind River Edge full dataset

description: This .csv file is the full insect damage dataset for the Wind River Edge site and includes every dicot leaf fossil examined at this site. For each leaf, locality number, specimen number, plant species, and the damage type(s) observed is reported. Damage types follow Labandeira et al. 2007. If more than one damage type is present on a specimen, a semicolon is used to separate the damage types.
DOI: 10.5061/dryad.fb821k5/3
title: Wind River Interior full dataset

description: This .csv is the full insect damage census for the Wind River Interior site. For each leaf, the DMNH locality number, DMNH specimen number, collector's locality number, collector's specimen number, plant species, and damage types observed are reported. Specimens with "C" in the collector's locality number column were censused in the field. All other specimens are curated at the Denver Museum of Nature & Science. Damage type data is recorded as "damage type observed (number of occurrences of that damage type)"- for example, 3(2) would mean that there are 2 occurrences of DT3 on a specimen. Damage types follow Labandeira et al. 2007. If more than one damage type is present on a specimen, a semicolon is used to separate the damage types.
DOI: 10.5061/dryad.fn4cj0d/1
title: SNP genotypes

description: Genotypes from 7 island SNPs and 89 previously developed SNPs including some found to be outliers that were removed from further analyses.  Information on which SNPs were retained  to form the neutral dataset is found in Table S5.  Information on population abbreviations found in dryad file "population info."
DOI: 10.5061/dryad.fn4cj0d/2
title: MHC genotypes

description: MHC genotypes.  Numbers correspond to haplotype numbers in Table S3.  Population information can be found in the "population information" file
DOI: 10.5061/dryad.fn4cj0d/3
title: Population Information

description: Population information with abbreviations used in genotype files.
DOI: 10.5061/dryad.j5577d2/1
title: Evolution Letters GAlavioon data

description: Raw data for all analyses presented in the paper.
DOI: 10.5061/dryad.jt52151/1
title: Western blots from plasma samples - RAGE

description: Raw images.
DOI: 10.5061/dryad.jt52151/2
title: Database

description: Includes all quantifiable registered data.
DOI: 10.5061/dryad.kc4m7p2/1
title: Data of Plant Nutrient Characters in a Biodiversity Experiment

description: The data include soil available nutrients, aboveground primary productivity, nitrogen and phosphorus concentrations in four dominant plant species from a plant species removal experiment in the temperate steppe of northern China.
DOI: 10.5061/dryad.kd1qt0p/10
title: Figure 4 - source data 3

description: This zip archive contains the original z-stacks used for the PEG 100kDa data in Figure 4, panel D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS290_s9_t1 = 34.4 mg/mL PEG 100 kDa
A7PS290_s10_t1 = 17.2 mg/mL PEG 100 kDa
A7PS290_s11_t1 = 8.59 mg/mL PEG 100 kDa
A7PS290_s12_t1 = 4.29 mg/mL PEG 100 kDa
A7PS290_s13_t1 = 2.15 mg/mL PEG 100 kDa
A7PS290_s14_t1 = 1.07 mg/mL PEG 100 kDa
A7PS290_s15_t1 = 0.536 mg/mL PEG 100 kDa
A7PS290_s16_t1 = 0.268 mg/mL PEG 100 kDa

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 as additional files to this paper to generate Figure 4, panel D.
DOI: 10.5061/dryad.kd1qt0p/11
title: Figure 4 - source data 4

description: This zip archive contains the original z-stacks used for Figure 4, panel D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS290_s17_t1 = 212 mg/mL PEG 3.35 kDa
A7PS290_s18_t1 = 106 mg/mL PEG 3.35 kDa
A7PS290_s19_t1 = 53.0 mg/mL PEG 3.35 kDa
A7PS290_s20_t1 = 26.5 mg/mL PEG 3.35 kDa
A7PS290_s21_t1 = 13.2 mg/mL PEG 3.35 kDa
A7PS290_s22_t1 = 6.62 mg/mL PEG 3.35 kDa
A7PS290_s23_t1 = 3.31 mg/mL PEG 3.35 kDa
A7PS290_s24_t1 = 1.66 mg/mL PEG 3.35 kDa
A7PS321_s1_t1 = 0.815 mg/mL PEG 3.35 kDa
A7PS321_s2_t1 = 0.407 mg/mL PEG 3.35 kDa
A7PS321_s3_t1 = 0.204 mg/mL PEG 3.35 kDa
A7PS321_s4_t1 = 0.102 mg/mL PEG 3.35 kDa
A7PS321_s5_t1 = 0.0509 mg/mL PEG 3.35 kDa

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 4, panel D.
DOI: 10.5061/dryad.kd1qt0p/12
title: Figure 5 - source data 1

description: This zip archive contains the original z-stacks used for Figure 5, panels A and C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS303_s1_t1 = WT USI, Dilution factor = 1
A7PS303_s2_t1 = WT USI, Dilution factor = 1/2
A7PS303_s3_t1 = WT USI, Dilution factor = 1/4
A7PS303_s4_t1 = WT USI, Dilution factor = 1/8
A7PS303_s17_t1 = MUC2KO USI, Dilution factor = 1
A7PS303_s18_t1 = MUC2KO USI, Dilution factor = 1/2
A7PS303_s19_t1 = MUC2KO USI, Dilution factor = 1/4
A7PS303_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, panels A and C.
DOI: 10.5061/dryad.kd1qt0p/13
title: Figure 5 - source data 2

description: This zip archive contains the original z-stacks used for Figure 5, panels B and D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS303_s9_t1 = WT LSI, Dilution factor = 1
A7PS303_s10_t1 = WT LSI, Dilution factor = 1/2
A7PS303_s11_t1 = WT LSI, Dilution factor = 1/4
A7PS303_s12_t1 = WT LSI, Dilution factor = 1/8
A7PS303_s25_t1 = MUC2KO LSI, Dilution factor = 1
A7PS303_s26_t1 = MUC2KO LSI, Dilution factor = 1/2
A7PS303_s27_t1 = MUC2KO LSI, Dilution factor = 1/4
A7PS303_s28_t1 = MUC2KO 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 5, panels B and D.
DOI: 10.5061/dryad.kd1qt0p/4
title: Figure 2 - Source Data 4

description: This zip archive contains the original z-stacks used for Figure 2, panels F-G. These are provided as TIF files, which are readable by FIJI. All imaging parameters are included in the image metadata. They are labeled by “Group#” (indicating which CDF they below to in the figure) and “Trial#” if multiple technical replicates were done for a given sample from a Group. The control done in Hanks’ Balanced Salt Solution (HBSS) is labeled as “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 “Group#_trial#_automated_counting_statistics”. 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 “Group#_trial#_singlet_IDs”. These .csv files were used in combination with the jupyter notebooks (also provided in this submission) to generate Figure 2, panels F-G. If multiple technical replicates were performed on a sample, the resulting ECDFs were combined to create one master ECDF for that sample.
DOI: 10.5061/dryad.kd1qt0p/5
title: Figure 2 - Source Data 5

description: This zip archive contains the original z-stacks used for Figure 2, panels H-I. These are provided as TIF files, which are readable by FIJI. All imaging parameters are included in the image metadata. They are labeled by “Group#” (indicating which CDF they below to in the figure) and “Trial#” if multiple technical replicates were done for a given sample from a Group. The control done in Hanks’ Balanced Salt Solution (HBSS) is labeled as “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 “Group#_trial#_automated_counting_statistics”. 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 “Group#_trial#_singlet_IDs”. These .csv files were used in combination with the jupyter notebooks provided (also provided in this submission) to generate Figure 2, panels H-I. If multiple technical replicates were performed on a sample, the resulting ECDFs were combined to create one master ECDF for that sample.
DOI: 10.5061/dryad.kd1qt0p/6
title: Figure 3 - Source Data 1

description: This zip archive contains the original z-stacks used for Figure 3, panels B-C. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows (if multiple technical replicates were done it is indicated): A7PS263_s1_t1 = 30 µm-filtered, technical replicate #1; A7PS263_s2_t1 = 0.45 µm-filtered; A7PS263_s3_t1 = 100 kDa-filtered; A7PS263_s4_t1 = 30 kDa-filtered; A7PS263_s5_t1 = 3 kDa-filtered; A7PS284_s13_t1 = HBSS; A7PS285_s1_t1 = 30 µm-filtered, technical replicate #2; A7PS285_s2_t1 = 0.45 µm-filtered, technical replicate #2; A7PS285_s5_t1 = 30 µm-filtered, technical replicate #3; A7PS285_s6_t1 = 0.45 µm-filtered, technical replicate #3. 

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 (also provided with this submission) to generate Figure 3, panels B-C. If multiple technical replicates were performed on a sample, the resulting ECDFs were combined to create one master ECDF for that sample.
DOI: 10.5061/dryad.kd1qt0p/7
title: Figure 3 - Source Data 2

description: This zip archive contains the original z-stacks used for Figure 3, panels E-F. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows (if multiple technical replicates were done it is indicated): A7PS263_s6_t1 = 30 µm-filtered, technical replicate #1; A7PS263_s7_t1 = 0.45 µm-filtered; A7PS263_s8_t1 = 100 kDa-filtered; A7PS263_s9_t1 = 30 kDa-filtered; A7PS263_s10_t1 = 3 kDa-filtered; A7PS284_s13_t1 = HBSS; A7PS285_s3_t1 = 30 µm-filtered, technical replicate #2; A7PS285_s4_t1 = 0.45 µm-filtered, technical replicate #2; A7PS285_s7_t1 = 30 µm-filtered, technical replicate #3; A7PS285_s8_t1 = 0.45 µm-filtered, technical replicate #3. 

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 (also provided with this submission) to generate Figure 3, panels E-F. If multiple technical replicates were performed on a sample, the resulting ECDFs were combined to create one master ECDF for that sample.
DOI: 10.5061/dryad.kd1qt0p/8
title: Figure 4 - source data 1

description: This zip archive contains the original z-stack used for Figure 4, panels A-C. It is provided as a TIF file. All imaging parameters are included in the image metadata.
DOI: 10.5061/dryad.kd1qt0p/9
title: Figure 4 - source data 2

description: This zip archive contains the original z-stacks used for the PEG 1 MDa data in Figure 4, panel D. These are provided as TIF files. All imaging parameters are included in the image metadata. They are labeled as follows: 
A7PS290_s1_t1 = 6.52 mg/mL PEG 1 MDa
A7PS290_s2_t1 = 3.26 mg/mL PEG 1 MDa 
A7PS290_s3_t1 = 1.63 mg/mL PEG 1 MDa
A7PS290_s4_t1 = 0.815 mg/mL PEG 1 MDa
A7PS290_s5_t1 = 0.407 mg/mL PEG 1 MDa
A7PS290_s6_t1 = 0.204 mg/mL PEG 1 MDa
A7PS290_s7_t1 = 0.102 mg/mL PEG 1 MDa
A7PS290_s8_t1 = 0.0509 mg/mL PEG 1 MDa

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 as additional files to this paper to generate Figure 4, panel D.
DOI: 10.5061/dryad.sp10dk0/1
title: Final occurrence matrix of species in each faecal sample

description: Final occurrence matrix of species in each faecal sample, ordered by month and classified according to their location (C: coastal; I: inland). Also shown the frequency of occurrence and upper and lower 95% confidence levels.
DOI: 10.5061/dryad.tj1p3.3/15.3
title: 520_genes_treefiles.zip

description: The gene_trees/ directory contains all gene tree files from RAxML as RAxML_bipartitions..tre /// The species_tree/ directory contains the species tree file with rotated nodes as shown in Figure 2. RAxML_bipartitions_concatenated_matrix_520_genes_rotated_nodes_Figure2.phy.  (Zipped folder).
DOI: 10.5061/dryad.tv4360k/1
title: Supplementary table 1. Individual clinical, radiological and genetic characteristics
DOI: 10.5061/dryad.tv4360k/2
title: Supplementary table 2. Scored items and scoring method
DOI: 10.5061/dryad.tv4360k/3
title: Supplementary table 3. Main characteristics of subjects included in the study (n=21)
DOI: 10.17632/2h2wxbxnpw.1
title: Processing of plumbomicrolite of amazonite deposit Ploskaya Gora (Kola Peninsula)

description: A plumbomicrolite concentrate (PMC) was decomposed with the mixture of HF and H2SO4, HF and HCl, HF and HNO3 acids. Optimal conditions ensuring high recovery of tantalum and niobium (99%) into solution, and radionuclides into insoluble residue were determined. Fluoride-sulfuric acid and fluoride-nitric acid schemes were proposed for PMC processing with an extraction separation of tantalum form niobium, lead and impurities and production of high-purity tantalum compounds.
DOI: 10.17632/jjgmngp4kt.1
title: Data for: Dissolution of two types of grain boundary phases in a hot-deformed Nd-Fe-B magnet by high-temperature annealing

description: These are original HRTEM images corresponding to Fig.8
DOI: 10.17632/p46z4r43vc.1
title: Data for: Vision of Vincent Van Gogh and Maurice Utrillo in Landscape Paintings and Their Impact in Establishing the Identity of the Place

description: this research will address: The relationship between" Van Gogh and Maurice Utrillo "and the place. Review their famous works that related to those places. Clarify their vision and style in painting. The impact of their paintings on those places.
DOI: 10.17632/s786vwmmws.1
title: Data for: Net Cash Flow Yield and the Cross-Section of Stock Returns

description: This file contains monthly returns of long/short net cash flow yield factors. These factors are used in Dai, Yiqing (2019), “Net Cash Flow Yield and the Cross-Section of Stock Returns"
DOI: 10.17632/s786vwmmws.2
title: Data for: Net Cash Flow Yield and the Cross-Section of Stock Returns

description: This file contains monthly returns of long/short net cash flow yield factors.