cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/ngg3g9/tmksom
title: URSA_Precip.tab
DOI: 10.17632/tfr4nxt8g3.2
title: Brain-Based MotionEncoder

description: This data is from the biological section of the paper titled ‘Identification of movie encoding neurons enables movie recognition AI’ published in PNAS.
DOI: 10.7910/dvn/cftmk2/9u6jar
title: makeIVbp.R

description: Builds boxplot of correlations between independent variables at the constituency-level.
DOI: 10.7910/dvn/cftmk2/ef83do
title: master.R

description: File to build the proper directories since dataverse doesn't easily support directory structures with large numbers of files and replicate the entire paper and appendices.
DOI: 10.7910/dvn/cftmk2/fgzuzh
title: makePeriodCoefs.R

description: Replicates table 3 by period.
DOI: 10.7910/dvn/cftmk2/tylqcl
title: multcoll.Rdata

description: :unav
DOI: 10.7910/dvn/cftmk2/wn6jfn
title: mpdistanceSq.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/1aekvg
title: popdensWPUT.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/j57iag
title: noImp.R

description: Estimates coefficients for replication of table 3 only on highest quality data points with no imputation.
DOI: 10.7910/dvn/cftmk2/oargq4
title: README.txt

description: Describes each code file in detail.
DOI: 10.7910/dvn/cftmk2/s2d8id
title: povertyWPUT.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/o4llvo
title: residPoverty.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/ou7xuc
title: regTableSEut.rds

description: :unav
DOI: 10.7910/dvn/cftmk2/u1pbb4
title: residRoadsSq.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/wsz7ah
title: residCoethnicity.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/xug0bo
title: regTable.rds

description: :unav
DOI: 10.7910/dvn/cftmk2/zwxt8u
title: residMpdistSq.zip

description: :unav
DOI: 10.17632/w8tkt54y3d.1
title: Datasets for peridotite glass

description: Datasets for peridotite glass
DOI: 10.7910/dvn/cftmk2/4zjeup
title: table3.R

description: Builds table 3 from paper and all robustness checks of that table in the appendix.
DOI: 10.7910/dvn/cftmk2/6blzal
title: residSupport.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/jowvrg
title: tables1and2.R

description: :unav
DOI: 10.7910/dvn/cftmk2/yuvry2
title: supportersWPUT.zip

description: :unav
DOI: 10.7910/dvn/cftmk2/zdow9v
title: roadsSq.zip

description: :unav
DOI: 10.7910/dvn/pmw9ep/kkqdfz
title: Dale Sampers Loo Green 2018.tab
DOI: 10.7910/dvn/pbne4k/th96kq
title: Jeehp_15_17_raw data_Data JEEHP Examiner study__17-07-18.tab
DOI: 10.17632/xt43mfmdvf.1
title: Open data for ICESD_Exploring the role of digital platforms_Fossetta

description: This data was used for research data using the literature review method with the title "Exploring the role of digital platforms in promoting sustainable development goals (SDGs) awareness and engagement: a study literature review"
DOI: 10.17632/rjmc7rrvdx.1
title: Audio signals from stressed plants

description: Dataset Description
1. Plant Stress Sound Dataset (CSV Format): plant_stress_sound_dataset.csv
The plant_stress_sound_dataset.csv contains metadata for audio recordings of plant-emitted sounds under various stress conditions. Each row in the dataset represents an individual sound recording and includes details about the plant species, type of stress, environmental conditions, and additional relevant metadata for real-time monitoring. The dataset helps in labeling and correlating the recorded sound with the plant’s physiological state and environmental context.
Columns:
• Audio_File: The filename of the recorded plant sound (e.g., plant_drought_01.wav).
• Stress_Type: The type of stress experienced by the plant (e.g., Drought, Nutrient Deficiency, Mechanical Damage).
• Duration (s): The duration of the sound recording in seconds.
• Plant_Species: The species of plant being monitored (e.g., Tomato, Corn, Wheat).
• Temperature (°C): The environmental temperature during the recording.
• Humidity (%): The relative humidity in the environment.
• Soil_Moisture (%): The percentage of soil moisture, which is critical for understanding drought stress.
• Timestamp: The exact time and date when the recording was made.
• Location: Describes whether the sound was recorded in a controlled environment (e.g., Greenhouse) or an open agricultural field.
This dataset allows deep learning models to learn and classify different stress conditions based on the plant’s emitted sound and environmental factors.
2. Audio Folder: plant_sounds/
The plant_sounds folder contains the actual audio recordings of plant-emitted sounds. Each file is a .wav or .mp3 format, corresponding to entries in the plant_stress_sound_dataset.csv file. The recordings are labeled based on the type of stress (e.g., plant_drought_01.wav, plant_nutrient_02.wav), and they capture airborne sound emissions linked to different plant stressors like drought, nutrient deficiency, or mechanical damage.
Example Files:
• plant_drought_01.wav: A recording of a plant experiencing drought stress.
• plant_nutrient_02.wav: A recording of a plant suffering from nutrient deficiency.
• plant_damage_03.wav: A recording of a plant with mechanical damage.
These audio files serve as the input to the deep learning model for analyzing sound patterns and detecting stress in plants.
DOI: 10.7910/dvn/9qkju2/3fzjuw
title: Fig. 1-H.dat
DOI: 10.7910/dvn/9qkju2/3sh5vr
title: Fig-1-H T-values.dat
DOI: 10.7910/dvn/9qkju2/fhlcsw
title: Fig. 1-G-inset.dat
DOI: 10.7910/dvn/9qkju2/womizq
title: Fig. 1-G.dat
DOI: 10.7910/dvn/9qkju2/xda9yx
title: Fig-1-G inset T-values.dat
DOI: 10.7910/dvn/9qkju2/9upf5q
title: Fig-2-B T-values.dat
DOI: 10.7910/dvn/9qkju2/gbfqzl
title: Fig. 2-B.dat
DOI: 10.7910/dvn/9qkju2/jidxtz
title: Fig. 2-A.dat
DOI: 10.7910/dvn/9qkju2/kjs1cc
title: Fig. 2-D.dat
DOI: 10.7910/dvn/9qkju2/oypftf
title: Fig-2-D T-values.dat
DOI: 10.7910/dvn/9qkju2/zoblyl
title: Fig. 2-C.dat
DOI: 10.7910/dvn/9qkju2/cen5m1
title: Fig. 3-B.dat
DOI: 10.7910/dvn/9qkju2/exbd24
title: Fig. 3-C.dat
DOI: 10.7910/dvn/9qkju2/lzhkf3
title: Fig-3-B T-values.dat
DOI: 10.7910/dvn/9qkju2/wlwkwf
title: Fig. 3-A.dat
DOI: 10.7910/dvn/l4xkez/31godp
title: ANES2008PA (raw).dta
DOI: 10.7910/dvn/l4xkez/gv5n2f
title: ANES 2008 - RAW.tab
DOI: 10.7910/dvn/l4xkez/ptqmbw
title: Conjoint Experiment Data.tab
DOI: 10.7910/dvn/9qkju2/he4duq
title: Fig. 3-D.dat
DOI: 10.7910/dvn/9qkju2/mp9maq
title: Fig-3-D T-values.dat
DOI: 10.7910/dvn/g1jev3/n7eval
title: Excel.zip
DOI: 10.7910/dvn/l4xkez/mi8vjk
title: Data Analysis - ANES Time Series Analyses.do
DOI: 10.7910/dvn/l4xkez/munaxd
title: Data Analysis - ANES Time Series (Online Appendix D).do
DOI: 10.7910/dvn/9qkju2/cympai
title: Fig. 4-C.dat
DOI: 10.7910/dvn/9qkju2/n3ozrz
title: Fig. 4-A-inset.dat
DOI: 10.7910/dvn/9qkju2/ytjbe9
title: Fig. 4-A.dat
DOI: 10.7910/dvn/9qkju2/zirwxp
title: Fig. 4-B.dat
DOI: 10.7910/dvn/g1jev3/hett9k
title: Matlab.zip
DOI: 10.7910/dvn/g1jev3/ryro8g
title: READ_ME.doc
DOI: 10.7910/dvn/g1jev3/xftcb5
title: Stata.zip
DOI: 10.7910/dvn/l4xkez/caswuv
title: Data Cleaning - 1984 ANES TS.do
DOI: 10.7910/dvn/l4xkez/egaxm1
title: Data Analysis - Conjoint Experiment (Figure 4 and Online Appendix A).do
DOI: 10.7910/dvn/l4xkez/khuq8k
title: Data Analysis - Conjoint Experiment (Fully Stacked Data).do
DOI: 10.7910/dvn/l4xkez/nx1d66
title: Data Analysis - ANES Time Series (Online Appendix E).do
DOI: 10.7910/dvn/l4xkez/zisz9v
title: Data Cleaning - 1980 ANES TS.do
DOI: 10.7910/dvn/9qkju2/3tvg7o
title: Fig. S-10-F.dat
DOI: 10.7910/dvn/9qkju2/ilhhmw
title: Fig. S-10-E.dat
DOI: 10.7910/dvn/9qkju2/khj4s6
title: Fig. S-10-D.dat
DOI: 10.7910/dvn/9qkju2/rs2zms
title: Fig. S-10-B.dat
DOI: 10.7910/dvn/9qkju2/sldgpw
title: Fig. S-10-A.dat
DOI: 10.7910/dvn/9qkju2/z1qyws
title: Fig. S-10-C.dat
DOI: 10.7910/dvn/l4xkez/0gtdrt
title: Data Cleaning - 2004 ANES TS.do
DOI: 10.7910/dvn/l4xkez/6g8zag
title: Data Cleaning - 2008 ANES Panel.do
DOI: 10.7910/dvn/l4xkez/7ytqx6
title: Data Cleaning - 1996 ANES TS.do
DOI: 10.7910/dvn/l4xkez/iqfq2a
title: Data Cleaning - 2000 ANES TS.do
DOI: 10.7910/dvn/l4xkez/vxxmf2
title: Data Cleaning - 2008 ANES TS.do
DOI: 10.7910/dvn/9qkju2/hu9ggw
title: Fig. S-2-A.dat
DOI: 10.7910/dvn/9qkju2/wcxplm
title: Fig. S-2-A-inset.dat
DOI: 10.7910/dvn/9qkju2/wuqmyg
title: Fig. S-11.dat
DOI: 10.7910/dvn/9qkju2/wyzofs
title: Fig. S-1.dat
DOI: 10.7910/dvn/9qkju2/z6evxq
title: Fig. S-2-C.dat
DOI: 10.7910/dvn/9qkju2/zhgyxn
title: Fig. S-2-B.dat
DOI: 10.7910/dvn/hjjjpj/1ifgaa
title: psrm_1912vs1919.tab
DOI: 10.7910/dvn/hjjjpj/3wv3wh
title: psrm_magnitudes.tab
DOI: 10.7910/dvn/hjjjpj/dfkzug
title: psrm_rcvdata.tab
DOI: 10.7910/dvn/hjjjpj/s0vmnl
title: Full text with all appendices.docx
DOI: 10.7910/dvn/hjjjpj/szf24m
title: psrm_election.tab
DOI: 10.7910/dvn/l4xkez/4099io
title: NES2004 (raw).tab
DOI: 10.7910/dvn/l4xkez/dc6xub
title: NES80INT (raw).tab
DOI: 10.7910/dvn/l4xkez/esrmky
title: NES1984 (raw).tab
DOI: 10.7910/dvn/l4xkez/mg52ff
title: NES2000 (raw).tab
DOI: 10.7910/dvn/l4xkez/urfn6e
title: NES1996 (raw).tab
DOI: 10.7910/dvn/l4xkez/xtp3zr
title: Read Me.txt
DOI: 10.7910/dvn/9qkju2/2a5wox
title: Fig. S-4-A.dat
DOI: 10.7910/dvn/9qkju2/brxzaj
title: Fig. S-3-A-inset.dat
DOI: 10.7910/dvn/9qkju2/ncziem
title: Fig. S-3-C.dat
DOI: 10.7910/dvn/9qkju2/rkcmjx
title: Fig. S-3-B.dat
DOI: 10.7910/dvn/9qkju2/w1fat7
title: Fig. S-3-A.dat
DOI: 10.7910/dvn/9qkju2/zzrkjr
title: Fig. S-4-A-inset.dat
DOI: 10.7910/dvn/hjjjpj/d9uxow
title: psrm_replication.do
DOI: 10.7910/dvn/hjjjpj/n6lfnt
title: psrm_replication.html
DOI: 10.7910/dvn/iltogf/ap5rk7
title: cleanSES.do
DOI: 10.7910/dvn/9qkju2/5ctfni
title: Fig. S-4-C-inset.dat
DOI: 10.7910/dvn/9qkju2/6okass
title: Fig. S-5.dat
DOI: 10.7910/dvn/9qkju2/ayxr2n
title: Fig. S-4-B.dat
DOI: 10.7910/dvn/9qkju2/ecyd1c
title: Fig. S-4-B-inset.dat
DOI: 10.7910/dvn/9qkju2/kiemyy
title: Fig. S-4-C.dat
DOI: 10.7910/dvn/iltogf/ajcwqi
title: Table 1.do
DOI: 10.7910/dvn/iltogf/aqmljc
title: Table 4.do
DOI: 10.7910/dvn/iltogf/dfjcat
title: Table 3.do
DOI: 10.7910/dvn/iltogf/hh5sio
title: Table 2.do
DOI: 10.7910/dvn/iltogf/zdziqu
title: Figure 1.do
DOI: 10.7910/dvn/iltogf/zoo2fb
title: ReadMe.docx
DOI: 10.7910/dvn/9qkju2/mcebhe
title: Fig. S-9.dat
DOI: 10.7910/dvn/9qkju2/ohprjx
title: Fig. S-7-B.dat
DOI: 10.7910/dvn/9qkju2/olgrvr
title: Fig-S-6-E-DK.dat
DOI: 10.7910/dvn/9qkju2/plcedf
title: Fig. S-8-A.dat
DOI: 10.7910/dvn/9qkju2/vujtuu
title: Fig. S-7-A.dat
DOI: 10.7910/dvn/9qkju2/xmtsgx
title: Fig. S-6-F.dat
DOI: 10.7910/dvn/iltogf/p3ky2w
title: Table 5.do
DOI: 10.7910/dvn/iltogf/vepzvo
title: Table 6.do
DOI: 10.7910/dvn/wybwbu/exbcbz
title: finaldat.tab
DOI: 10.7910/dvn/wybwbu/hpyuzy
title: readme.docx

description: Readme with variable description
DOI: 10.7910/dvn/pwayx9/afctzp
title: 20180608qb.mph
DOI: 10.7910/dvn/pwayx9/nppnqq
title: 20180608qbo.mph
DOI: 10.7910/dvn/pwayx9/5b1g3c
title: 20180709originial_c7o.mph
DOI: 10.7910/dvn/pwayx9/6b27th
title: 20180709originial.mph
DOI: 10.15468/dl.e4xzn5
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Mustelidae"
 ]
}

 The dataset includes 47 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029006-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/cfeieq/vwqdnp
title: SelfishCooperativeVotingReplicationData.tab
DOI: 10.7910/dvn/cfeieq/oyri0p
title: SelfishCooperativeVotingReplication.do
DOI: 10.7910/dvn/c2ls02/wscww3
title: Dataset.xlsx
DOI: 10.7910/dvn/wofziv/1dw8oz
title: kriner_schickler_ch3_replication_CCES.tab
DOI: 10.7910/dvn/wofziv/4sckbh
title: kriner_schickler_ch2_replication_allinvestigations.tab
DOI: 10.7910/dvn/wofziv/lh1iz6
title: kriner_schickler_ch3_replication_approval.tab
DOI: 10.7910/dvn/wofziv/was1ir
title: kriner_schickler_ch2_replication.do
DOI: 10.7910/dvn/wofziv/y7op0u
title: kriner_schickler_1954FHA_note.pdf
DOI: 10.7910/dvn/wofziv/3ynhbo
title: kriner_schickler_ch5_replication_opportunities.tab
DOI: 10.7910/dvn/wofziv/gxvxed
title: kriner_schickler_ch5_replication.do
DOI: 10.7910/dvn/wofziv/kprxzr
title: kriner_schickler_ch3_replication_Libya.tab
DOI: 10.7910/dvn/wofziv/nojq3f
title: kriner_schickler_ch3_replication_EPA.tab
DOI: 10.7910/dvn/wofziv/rssthr
title: kriner_schickler_ch3_replication.do
DOI: 10.7910/dvn/wofziv/znnzhv
title: kriner_schickler_ch5_replication_scale.tab
DOI: 10.7910/dvn/wofziv/x4e7yl
title: kriner_schickler_investigations_cisnumber_list.tab
DOI: 10.7910/dvn/cckenu/qaethz
title: TomzWeeks-HumanRights-JOP-Files

description: :unav
DOI: 10.7910/dvn/cckenu/qclbld
title: TomzWeeks-HumanRights-JOP.do

description: :unav
DOI: 10.7910/dvn/cckenu/tq9mas
title: TomzWeeks=HumanRights-JOP-Readme.txt

description: :unav
DOI: 10.7910/dvn/3fcdth/okbgqb
title: SYSTEMIC LOCALISATION OF THE SUBJECT.pdf
DOI: 10.17632/fb8gn8khjx.1
title: Clustering-independent estimation of cell abundances in bulk tissues using single-cell RNA-seq data: IHC data

description: Immunohistochemistry staining of adjacent tissue sections from two pediatric ependymal tumors (7316-509 and 7316-490). Each tumor was stained for CA9 (a marker of mesenchymal regions), IBA1 (a microglial marker), and GPNMB (a DAM marker). Microglia surrounding CA9+ mesenchymal regions of the tumor acquired a DAM state, marked by the expression of GPNMB, while microglia in neuroepithelial regions of the tumor do not have detectable levels of GPNMB. These are the raw IHC images for Figure 7 of https://doi.org/10.1101/2023.02.06.527318.
DOI: 10.7910/dvn/qtqhor/7aqcm0
title: CHARACTER ANALYSIS OF ORAL ACTIVITY.pdf
DOI: 10.17632/r7wsxk836k.1
title: COVID-19 and Hypertensive Disorders of Pregnancy: Is the Placenta the Problem?

description: This data compares placental pathology reports of patients who tested positive for COVID-19 during their pregnancy to those of patients who tested negative.
DOI: 10.7910/dvn/9bwrhy/arzz17
title: The effect of 20 mg parecoxib as an adjunct to 0.75 ropivacaine in ultrasound-guided brachial plexus block for upper limb surgery.tab
DOI: 10.7910/dvn/9bwrhy/b4qowg
title: The effect of 20 mg Parecoxib as an Adjunct to 0.75 Ropivacaine in Ultrasound-Guided Brachial Plexus Block for Upper Limb Surgeries.tab
DOI: 10.7910/dvn/9bwrhy/ei1zul
title: The effect of 20 mg Parecoxib as an Adjunct to 0.75 Ropivacaine in Ultrasound-Guided Brachial Plexus Block for Upper Limb Surgeries.csv
DOI: 10.17632/mmy5h98dxr.1
title: Induced abortion factors

description: Data for a paper on factors influencing abortion rates.
DOI: 10.17632/rpznx7s9xc.1
title: Extension and Advisory Services at Municipal Level: Comparative Social Network Analysis

description: Data for the article entitled as Extension and Advisory Services at Municipal Level: Comparative Social Network Analysis
DOI: 10.7910/dvn/jjmrjw/afdlyy
title: data of US and EU seafood.tab

description: Stata data
DOI: 10.7910/dvn/jjmrjw/dpj0qu
title: code for food policy-final.do

description: Stata do file
DOI: 10.7910/dvn/jjmrjw/kk8jot
title: data of US seafood and non-seafood.dta

description: Stata data
DOI: 10.7910/dvn/jjmrjw/2mtyls
title: USEU seafood and non seafood.dta

description: Stata do file
DOI: 10.7910/dvn/jjmrjw/byqaj6
title: data of US seafood.tab

description: Stata data
DOI: 10.7910/dvn/jjmrjw/jaw66w
title: Figure 2.docx

description: Modified figure 2
DOI: 10.7910/dvn/jjmrjw/s1xmxj
title: euus seafood.tab

description: Excel file of data
DOI: 10.7910/dvn/iwdavk/4yjpqo
title: 3ie analysis_2018-04-30.do
DOI: 10.7910/dvn/iwdavk/w0css4
title: 3ieforanalysis_2018-09-26.tab
DOI: 10.7910/dvn/iwdavk/5l4dzh
title: artvolume_2018-02-09.tab
DOI: 10.7910/dvn/iwdavk/c8jpgj
title: Data cleaning and summary stats_2018-04-30.Rmd
DOI: 10.7910/dvn/iwdavk/ghj56u
title: Data for cleaning and summary stats_2018-09-26.tab
DOI: 10.7910/dvn/iwdavk/hcsmlu
title: baselinecostdat_2018-09-26.tab
DOI: 10.7910/dvn/iwdavk/wfyqoq
title: Data for cleaning and summary stats_2018-04-30.tab
DOI: 10.7910/dvn/iwdavk/ajifer
title: readme_2018-04-30.txt
DOI: 10.7910/dvn/iwdavk/wmpqwu
title: endlinecostdat_2018-09-26.tab
DOI: 10.7910/dvn/0kirbj/u9fgcp
title: Questionnaire_W01_S2016_ENG.pdf

description: Questionnaire (English version)
DOI: 10.7910/dvn/0kirbj/4fonba
title: User_Manual_ELSOC_Wave_01.pdf

description: User Guide (include Codebook)
DOI: 10.7910/dvn/0kirbj/prioba
title: Questionnaire_W01_S2016_ESP.pdf

description: Questionnaire
DOI: 10.7910/dvn/ubxvyk/5linxd
title: Final Data for The Impact of Home Country Network Embeddedness on Chinese Outward Foreign Direct Investment.xlsx
DOI: 10.7910/dvn/maduuz/j5i6fl
title: replication_data_RAB_ESP18.zip
DOI: 10.7910/dvn/ojbz67/koa5md
title: 17723264_44_18675427_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/lbxlkc
title: 17723264_44_18675427_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/pisptr
title: 17723264_44_18675427_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/udnwdh
title: 17723264_44_18675427_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/wfmru0
title: 17723264_44_18675427_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.15468/dl.aw3nww
title: Occurrence Download

description: A dataset containing 2598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.59191799599867",
 "DecimalLongitude is less than 7.59497754918306",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2598 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029007-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ojbz67/bgxdds
title: 17723288_46_18460950_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/iymj1c
title: 17723288_46_18460950_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/njkoq8
title: 17723288_46_18460950_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/qbkn0t
title: 17723288_46_18460950_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/zvujro
title: 17723288_46_18460950_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/3c3vta
title: 17723288_48_18232891_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/g8z5mb
title: 17723288_48_18232891_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/h9i2dv
title: 17723288_48_18232891_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/vywsfl
title: 17723288_48_18232891_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/zdhyyx
title: 17723288_48_18232891_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/lftksx/9uhujb
title: Fig1C.mat
DOI: 10.7910/dvn/lftksx/lvgivw
title: Fig1A.mat
DOI: 10.7910/dvn/lftksx/m3hmcl
title: Fig2A.mat
DOI: 10.7910/dvn/lftksx/mfljob
title: Fig2B.mat
DOI: 10.7910/dvn/ojbz67/ajaez4
title: 17723364_51_17838712_TP_1_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/dilmkg
title: 17723364_51_17838712_TP_1_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/exffkp
title: 17723364_51_17838712_TP_1_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/lkqhzs
title: 17723364_51_17838712_TP_1_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/ucrb7r
title: 17723364_51_17838712_TP_1_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/lftksx/1jlh7a
title: Fig3E.mat
DOI: 10.7910/dvn/lftksx/auiiik
title: Fig3C.mat
DOI: 10.7910/dvn/lftksx/gaux98
title: Fig3D.mat
DOI: 10.7910/dvn/lftksx/s4ma5y
title: Fig3F.mat
DOI: 10.7910/dvn/lftksx/setrg0
title: Fig4_Rxx.mat
DOI: 10.7910/dvn/ojbz67/1jbuzy
title: 17723368_49_1598560_TP_1_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/3yocld
title: 17723368_49_1598560_TP_1_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/ceblgz
title: 17723368_49_1598560_TP_1_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/dlth2n
title: 17723368_49_1598560_TP_1_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/x6ptrk
title: 17723370_54_17985393_TP_1_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/xaousq
title: 17723368_49_1598560_TP_1_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/lftksx/dxtb7s
title: FigS1C.mat
DOI: 10.7910/dvn/lftksx/jassmn
title: FigS1B.mat
DOI: 10.7910/dvn/lftksx/jf7xtk
title: FigS1F.mat
DOI: 10.7910/dvn/lftksx/lofhfk
title: FigS1D.mat
DOI: 10.7910/dvn/lftksx/n3kz9s
title: Fig4_subplots_transmission_and_Iup.mat
DOI: 10.7910/dvn/lftksx/vdtxq6
title: FigS1E.mat
DOI: 10.7910/dvn/ojbz67/4tauar
title: 17723370_54_17985393_TP_1_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/appii9
title: 17723370_54_17985393_TP_1_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/luvxjh
title: 17723370_54_17985393_TP_1_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/ohb0pt
title: 17723370_55_1335324_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/u2dy3k
title: 17723370_55_1335324_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/uunfdk
title: 17723370_54_17985393_TP_1_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/lftksx/1msypr
title: FigS3E.mat
DOI: 10.7910/dvn/lftksx/dlebc6
title: FigS3C.mat
DOI: 10.7910/dvn/lftksx/ges342
title: FigS3D.mat
DOI: 10.7910/dvn/lftksx/mjg5hs
title: FigS4A.mat
DOI: 10.7910/dvn/lftksx/re3unv
title: FigS3F.mat
DOI: 10.7910/dvn/lftksx/saabo5
title: FigS2B.mat
DOI: 10.7910/dvn/ojbz67/ek1j2i
title: 17723370_55_1335324_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/jazxc0
title: 17723370_55_1335324_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/ne2go6
title: 17723378_52_18452735_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/nmefkp
title: 17723370_55_1335324_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/v0at50
title: 17723378_52_18452735_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/rj9pqc/3faejv
title: A summary of files.tab
DOI: 10.7910/dvn/rj9pqc/9zemf0
title: FamInv_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/cm6znn
title: FamBel_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/ehs7ju
title: FB_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/i7zplu
title: FI_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/s6ck13
title: FB_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/lftksx/qu5gkb
title: FigS4B.mat
DOI: 10.7910/dvn/ojbz67/1dsp6o
title: 17723378_52_18452735_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/2t6mkk
title: 17723379_53_8367855_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/ojbz67/ftdpbb
title: 17723378_52_18452735_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/kgwxia
title: 17723378_52_18452735_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/kzufas
title: 17723379_53_8367855_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/rj9pqc/4wnfap
title: LifeSat_Codebook_v1.pdf
DOI: 10.7910/dvn/rj9pqc/dhi2qr
title: GH_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/mjaeas
title: FI_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/vq9ctl
title: GlobHeal_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/zoqitu
title: GH_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/ojbz67/ac7tld
title: 17723379_53_8367855_TP_0_VarLen_Wave500Hz_Pleth.txt
DOI: 10.7910/dvn/ojbz67/izccvp
title: 17723385_56_1857559_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/mwmv95
title: 17723385_56_1857559_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/tccpdx
title: 17723379_53_8367855_TP_0_VarLen_Trend4Hz_RRI_DN.txt
DOI: 10.7910/dvn/ojbz67/yl3sp6
title: 17723379_53_8367855_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/zea3jr
title: 17723385_56_1857559_TP_0_VarLen_Trend4Hz_PPG_PTT.txt
DOI: 10.7910/dvn/rj9pqc/4ap8ak
title: MP_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/4zwoxd
title: MeanPurp_Codebook.pdf
DOI: 10.7910/dvn/rj9pqc/hxvgww
title: LS_Child_Parent_PROMIS_vF_CHILD.tab
DOI: 10.7910/dvn/rj9pqc/r1zhfd
title: LS_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/rj9pqc/wi4qbg
title: MP_Child_Parent_PROMIS_vF_PROXY.tab
DOI: 10.7910/dvn/ojbz67/0jrwc3
title: 17723386_57_7412852_TP_0_VarLen_Wave500Hz_ECG II.txt
DOI: 10.7910/dvn/ojbz67/9uuz06
title: 17723386_57_7412852_TP_0_VarLen_Trend4Hz_IHR.txt
DOI: 10.7910/dvn/ojbz67/dv6eei
title: 17723385_56_1857559_TP_0_VarLen_Wave500Hz_ECG II.txt