cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26022/ieda/111603
title: Major and trace element analyses of subglacial volcanics from the Western Volcanic Zone, Iceland

description: This dataset reports whole-rock and glass geochemical analyses of samples from table mountains (stapi) and hyaloclastite ridges in the Western Volcanic Zone of Iceland. Samples were collected 2009-2010. Dataset includes whole-rock analyses by XRF and ICP-MS, and glass analyses by electron microprobe.
description: Deborah E. Eason, John M. Sinton, Karl Grönvold, Mark D. Kurz, (2015), "Effects of deglaciation on the petrology and eruptive history of the Western Volcanic Zone, Iceland." 77(6), Art. No. 47.
DOI: 10.26022/ieda/111602
title: Clumped Isotope Data of NE Greenland samples from Salomon et al., submitted to Solid Earth

description: This dataset contains D47, d18O, and d13C data from 18 samples of carbonate veins and cements from the Dombjerg Fault and hanging wall clastic Lindemans Bugt Formation in the Wollaston Forland, NE Greenland. The dataset has been used to assess along-fault fluid flow and diagenesis of fault-proximal sediments. In addition, replicate-level raw data is provided to allow for reprocessing of the data.
description: Salomon, E., Rotevatn, A., Kristensen, T. B., Grundvåg, S.-A., Henstra, G. A., Meckler, A. N., Albert, R., & Gerdes, A. (2020). Fault-controlled fluid circulation and diagenesis along basin-bounding fault systems in rifts – insights from the East Greenland rift system. Solid Earth, 11(6), 1987–2013.
DOI: 10.26022/ieda/111600
title: Physico-chemical parameters of water samples from the South Yellow Sea, China

description: This dataset includes one figure and six tables with results from water samples collected from the coast of the South Yellow Sea, China. Figure S1 shows the laboratory experiment results for radium contributed from suspended particles. Table S1 includes the original physico-chemical data collected in the Subei Shoal region from 2016-2017. Table S2 includes the data collected from two coastal investigations from 2017 to 2018. Table S3 shows the nutrient concentrations and stoichiometry ratios in coastal groundwater and seawater samples from 2016-2018. Table S4 is the calculated water age among three cruises based on different age models. Table S5 is the original 226Ra activities in the open Yellow Sea collected from published accounts. Table S6 represents the comparison of estimated SGD fluxes normalized to shoreline length in different regions worldwide.
description: Zhao, S., Xu,B., Yao, Q., Burnett, W. C., Charette ,M. A., Su, R., Lian, E., Yu, Z., 2020, Nutrient-rich Submarine Groundwater Discharge Fuels the Largest Green Tide in the World. Water Research Resource (accepted)
DOI: 10.26022/ieda/111596
title: Jemez River Basin Soil Solution Chemistry 2017 (New Mexico, USA)

description: Soil solution samples in the Jemez River Basin field sites of the Catalina-Jemez Critical Zone Observatory (CZO) are collected with the following two types of soil solution samplers: i) Prenart Super Quartz suction cups (www.prenart.dk). Prenart suction cups are optimized for all chemistry analyses and were installed without addition of Si-slurry to allow for artifact-free Si analyses. Applied suction for each Prenart is ~ 60 kPa. ii) Custom made, fiberglass wick-based passive capillary wick samplers (PCaps, Perdrial et al. 2012). PCaps are optimized for water flux determination and sampling for organic carbon, most (non-carbonate) anions and trace metals. PCap samples should however not be used for major cations (Na, Mg, Si, K, Ca) and dissolved inorganic carbon because of artifacts from the fiberglass materials (see Perdrial et al (2014) for a complete list). Passive (continuous) suction, based on the length of the hanging water column, is ~3 kPa. Soil solution samplers were installed in each of six pedons in the Mixed Conifer Zero Order Basin (MC-ZOB) and the fire impacted site (2011 Burned ZOB) at 3 (PCaps) and 4 (Prenarts) depths, respectively. Pedon locations were selected to capture differences in catchment aspect (MC-ZOB SE facing: Pit 3 and 4, NW facing: Pit 1 and 6), landscape position (MC-ZOB: hollow Pit 2 and 5, planar Pit 1 and 6, divergent Pit 3, convergent Pit 4), elevation and burn severity (co-varying in 2011 Burned ZOB: low Pit 1 and 2, mid Pit 3, high Pit 4 to 6). Three new pedons were instrumented in the Unburned Mixed Conifer Site located in the San Antonio Mountain close to the Sulfur Spring in Fall 2015. These pedons are positioned 20 m from the flux tower US-Vcs. All samplers are collocated with Decagon soil moisture and temperature probes. MC-ZOB was subject to a high intensity wildfire (Thompson Ridge fire) in June 2013 and was then renamed to 2013 Burned ZOB.
description: Perdrial, J.N., Perdrial, N., Harpold, A., Gao, X., LaSharr, K.M., Chorover, J. (2012) Impacts of sampling dissolved organic matter with passive capillary wicks versus aqueous soil extraction. Soil Science Society of America Journal, 76: 2019-2030. McIntosh, J.C., Schaumberg, C., Perdrial, J., Harpold, A., Vázquez-Ortega, A., Rasmussen, C., Vinson, D., Zapata-Rios, X., Brooks, P.D., Meixner, T., Pelletier, J., Derry, L., Chorover, J. (2017) Geochemical evolution of the Critical Zone across variable time scales informs concentration-discharge relationships: Jemez River Basin Critical Zone Observatory. Water Resources Research, 53(5): 4169–4196. Olshansky, Y., White, A.M., Moravec, B.G., McIntosh, J., Chorover, J. (2018) Subsurface Pore Water Contributions to Stream Concentration-Discharge Relations Across a Snowmelt Hydrograph. Frontiers in Earth Science, 6: 181.
DOI: 10.26022/ieda/111598
title: Sibo-Remi-Siang sections detrital thermochronology, eastern Arunachal Pradesh Siwaliks - 2020-06-22

description: We report new multisystem detrital thermochronology data from the most proximal Neogene clastic sediments downstream of Namche Barwa and use a thermo-kinematic model constrained by new and published data to explore its exhumation history. We collected ten sandstone samples from three sedimentary sections close to the Siang-Brahmaputra confluence. These sections are described by Govin et al. (2018), who also determined depositional ages ranging from 0.5 ± 0.3 Ma to 10.0 ± 2.0 Ma. Provenance data indicate that the source region for these deposits included the Namche Barwa massif (Govin et al., 2018). Here we present new zircon fission-track (ZFT), muscovite 40Ar/39Ar (MAr) and rutile U-Pb (RUPb) data from these sedimentary rocks.
description: Govin et al., (2020), "Early onset and late acceleration of rapid exhumation in the Namche Barwa syntaxis, eastern Himalaya", Geology, 48 (in press)
DOI: 10.26022/ieda/111595
title: Santa Catalina Mountains Soil Solution Chemistry 2017 (Arizona, USA)

description: Soil solution samples in the Santa-Catalina Mountain field sites of the Catalina-Jemez Critical Zone Observatory (CZO) are collected with three types of soil solution samples: i) Prenart Super Quartz suction cups (www.prenart.dk), ii) SoilMoisture suction cups (SoilMoisture Equipment Corp., Santa Barbara, CA), and iii) custom made zero-tension sampler (Hinckley et al., 2008). Prenart suction cups are optimized for all chemistry analyses and were installed with and without addition of Si-slurry at the Mount Bigelow and Marshall Gulch/Oracle Ridge study sites, respectively. Applied suction for each Prenart is ~ 50kPa and SoilMoisture suction cups are sampled with a suction of 70-80kpa. Both suction cup types are optimized for all chemistry analyses with the exception of dissolved organic matter in the case of the SoilMoisture ones (due to potential sorption of DOM on the porous ceramic material). Zero-tension samplers are optimized for water flux determination at saturated flow and sampling for various chemistry analyses. In Marshall Gulch, there are 8 SoilMoisture suction cups in the schist site and 7 in the granite site in both convergent and divergent landscape positions. These soil solution samplers are co-located with piezometers measuring water table depth within the soil profile. In the Oracle Ridge site, there are 8 pedons each equipped with 2 Prenarts and 1 SoilMoisture ceramic cup lysimeter. These samplers are co-located with Decagon Em5b data loggers with EC-5 soil moisture sensors and ECT soil temperature sensors. The B2 Desert Schist and a Granite sites are both equipped with 7 zero-tension samplers (Hinckley et al., 2008) in both divergent and convergent landscape positions as well one SoilMoisture ceramic cup lysimeter. These samplers are co-located with Decagon Em5b data loggers with EC-5 soil moisture sensors and ECT soil temperature sensors. In the Bigelow ZOB site, there are 4 pedons each equipped with 4 Prenarts co-located with Decagon 5TE soil moisture and MPS-6 matric potential sensors, Vaisala GMM220 CO2 sensors, and Apogee SO-110 O2 sensors, and platinum electrode sensors for redox potential, connected to Campbell Sci CR1000 data logger.
description: Trostle, K.D., Runyon, J.R., Pohlmann, M.A., Redfield, S.E., Pelletier, J., McIntosh, J., and Chorover, J. (2016) Colloids and Organic Matter Complexation Control Trace Metal Concentration-Discharge Relationships in Marshall Gulch Stream. Water Resources Research, 52(10): 7931–7944. Dwivedi, R., Meixner, T., McIntosh, J.C., Ferré, P.A.T., Eastoe, C.J., Niu, G.-Y., Minor, R.L., Barron-Gafford, G.A., and Chorover, J. (2019) Hydrologic functioning of the deep critical zone and contributions to streamflow in a high-elevation catchment: Testing of multiple conceptual models. Hydrological Processes, 33(4): 476-494.
DOI: 10.7910/dvn/n1bija/jqntut
title: folder_structure.pdf

description: :unav
DOI: 10.7910/dvn/n1bija/k702zl
title: readme.docx

description: :unav
DOI: 10.7910/dvn/z3eesv/mu09be
title: crdata.do

description: STATA do-file
DOI: 10.7910/dvn/z3eesv/d55mab
title: analysis.do

description: STATA do-file
DOI: 10.7910/dvn/z3eesv/pzh818
title: READ_ME.pdf

description: README
DOI: 10.7910/dvn/z3eesv/6wzjyz
title: CleanData.tab

description: STATA dta
DOI: 10.7910/dvn/z3eesv/hyyfim
title: GARP & FOSD.tab

description: STATA dta
DOI: 10.7910/dvn/z3eesv/spssy2
title: RawData.tab

description: STATA dta
DOI: 10.7910/dvn/z3eesv/uuxwro
title: Time.tab

description: STATA dta
DOI: 10.7910/dvn/x3p3wr/o71srm
title: NR_Monte_Carlo_codes.gss

description: :unav
DOI: 10.7910/dvn/x3p3wr/e5agt2
title: NR_Empirical_Analisys_codes.gss

description: :unav
DOI: 10.7910/dvn/x3p3wr/epfxdr
title: us_to_euro.tab

description: :unav
DOI: 10.7910/dvn/x3p3wr/2of9f6
title: readme_NR.txt

description: :unav
DOI: 10.21227/qprs-d009
title: A Large-Scale Dataset for Active Fire Detection/Segmentation (Landsat-8)

description: This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band). We cropped the original Landsat-8 scenes into image patches with 128 x 128 pixels by using a stride overlap of 64 pixels (vertical and horizontal). The masks are in binary format where True (1) represents fire and False (0) represents background and they were generated from the conditions set by Schroeder et al. (2016).
DOI: 10.34740/kaggle/dsv/1294871
title: COVID-19 Indonesia Dataset
DOI: 10.7910/dvn/ygtu5t/5lzp9z
title: Krachtwijken FINAL (codebook).pdf

description: :unav
DOI: 10.7910/dvn/ygtu5t/gq73oi
title: 10. Rental regressions.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/xqpbtx
title: 9. Rental Bandwidth.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/qixnyv
title: 8. Rental data set-up.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/ivx7au
title: 11. Bandwidth CS.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/zo8jy2
title: 4. Bandwidth.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/h1qslj
title: 6. Sensitivity.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/wpf6sm
title: 2. Graphical analysis.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/9hnaet
title: 5. Regressions.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/lndpop
title: 3. McCrary Test.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/are5tv
title: 1. Data set up.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/rdxnqf
title: 12. PSM.do

description: :unav
DOI: 10.7910/dvn/ygtu5t/7mfu3w
title: 7. Total gains.do

description: :unav
DOI: 10.7910/dvn/8kqjbj/hd5whm
title: locproj_conf.m

description: :unav
DOI: 10.7910/dvn/8kqjbj/mclkh4
title: data.tab

description: :unav
DOI: 10.7910/dvn/8kqjbj/u2udg8
title: locproj.m

description: :unav
DOI: 10.7910/dvn/8kqjbj/hsxyja
title: locproj_cv.m

description: :unav
DOI: 10.7910/dvn/8kqjbj/36kzxg
title: README.txt

description: :unav
DOI: 10.7910/dvn/8kqjbj/zg8asn
title: demo.R

description: :unav
DOI: 10.7910/dvn/8kqjbj/riu8zd
title: demo.m

description: :unav
DOI: 10.7910/dvn/8kqjbj/bybljd
title: README.txt

description: :unav
DOI: 10.7910/dvn/8kqjbj/ehypjq
title: us_macro.tab

description: :unav
DOI: 10.7910/dvn/8kqjbj/hva4zy
title: lproj.R

description: :unav
DOI: 10.5281/zenodo.3923957
title: Replication package for: Shocking Racial Attitudes: Black G.I.s in Europe

description: David Schindler & Mark Westcott (2020): Shocking Racial Attitudes, Black G.I.s in Europe. This replication package contains data and routines to replicate all findings of manuscript and online appendix.
DOI: 10.5281/zenodo.3874665
title: Replication package for: Shocking Racial Attitudes: Black G.I.s in Europe

description: David Schindler & Mark Westcott (2020): Shocking Racial Attitudes, Black G.I.s in Europe. This replication package contains data and routines to replicate all findings of manuscript and online appendix.
DOI: 10.5519/qd.57wq0zaf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/hnnmqt/nn5nrf
title: 4.nccs_data.do

description: Prepares data for analysis of other nonprofits in Wisconsin
DOI: 10.7910/dvn/hnnmqt/jkpyla
title: 2.parish_covars.do

description: Generates parish-level measures from tract-level measures for tracts within 1, 2, and 3 miles of each parish, interpolates between Census/ACS years
DOI: 10.7910/dvn/hnnmqt/z2xzs3
title: clean_panel_mpc.tab

description: data on enrollment and spending for the Milwaukee Parental Choice Program
DOI: 10.7910/dvn/hnnmqt/bk8m2i
title: clean_panel_rpc.tab

description: data on enrollment and spending for the Racine Parental Choice Program
DOI: 10.7910/dvn/hnnmqt/g8sydo
title: 3.prepare_data.do

description: Creates combined datasets used in main regression analysis
DOI: 10.7910/dvn/hnnmqt/zmcjt2
title: prices.tab

description: CPI, series CPIAUCSL obtained from FRED
DOI: 10.7910/dvn/w4b8mb/7ohail
title: Replication.tar.gz

description: Archive file of Replication folder, containing README.doc, data, and programs
DOI: 10.5281/zenodo.3923171
title: ajonko/grass-fire-metrics

description: Release of data repository which hosts data included in Jonko, Yedinak, Conley, and Linn (2020): "Sensitivity of grass fires burning in marginal conditions to small perturbations in the turbulent wind field", submitted to JGR-Atmospheres. LA-UR-20-23811
DOI: 10.21227/twnf-dp50
title: COVID-19 tweets dataset for Spanish language

description: This dataset is very vast and contains Spanish tweets related to COVID-19. There are 18958 unique tweet-ids in the whole dataset that ranges from December 2019 till May 2020 . The keywords that have been used to crawl the tweets are 'corona', , 'covid ' , 'sarscov2 ', 'covid19', 'coronavirus '. For getting the other 33 fields of data drop a mail at "avishekgarain@gmail.com". Code snippet is given in Documentation file. Sharing Twitter data other than Tweet ids publicly violates Twitter regulation policies.
DOI: 10.7910/dvn/dzi33n/mpocns
title: Brown_Ravallion_vandeWalle_NutritionallyVulnerable.do

description: :unav
DOI: 10.7910/dvn/dzi33n/tgi8lr
title: Brown_Ravallion_vandeWalle_NutritionallyVulnerable_Intrahh.do

description: :unav
DOI: 10.7910/dvn/dzi33n/1alt3h
title: all_individuals_LSMS_clean.dta

description: :unav
DOI: 10.7910/dvn/dzi33n/mlmcoo
title: all_individuals_clean.dta

description: :unav
DOI: 10.7910/dvn/dzi33n/sxkcoo
title: CountryStats.dta

description: :unav
DOI: 10.7910/dvn/dzi33n/f4cofc
title: all_individual_intra_clean.dta

description: :unav
DOI: 10.7910/dvn/dzi33n/mkecqq
title: Brown_Ravallion_vandeWalle_NutritionallyVulnerable_LSMS.do

description: :unav
DOI: 10.7910/dvn/r8sgbq/cfu3kd
title: FiguresAndTablesRevisedVersion.do

description: Replication do file
DOI: 10.7910/dvn/r8sgbq/5nzwoj
title: READMErevisedversion.pdf

description: Readme for all files
DOI: 10.7910/dvn/r8sgbq/ymsn7w
title: Do-files-and-readme-Revised-version.tar

description: All replication materials
DOI: 10.7910/dvn/r8sgbq/7kpxyy
title: CombinedMaster_RH.dta

description: Master dataset in Stata format.
DOI: 10.5281/zenodo.3924278
title: Dataset to accompany Accessibility dataset for large permanent cold traps at the lunar poles

description: Data tables and supplementary figures showing accessibility metrics and lowest-energy/slope/distance paths for traversing from illuminated staging areas into permanent cold trap regions at the lunar poles.
DOI: 10.7910/dvn/o7bayf/pba7qj
title: ReplicationDataUsingTheory.tar.gz

description: Contains Matlab and Stata scripts as well as all data to replicate the figures and tables in "How to use economic theory to improve estimators: Shrinking toward theoretical restrictions"
DOI: 10.7910/dvn/oui4p2/euq2vw
title: CBSAempAnnMSstrict.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/aot9br
title: IndEmpShare06.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/d4rawm
title: CreateQCEWannual.do

description: :unav
DOI: 10.7910/dvn/oui4p2/gixnmc
title: CYd2i2006nyf_frommiansufi_20120621.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/9jihc5
title: CreateEmpIncIndustry.do

description: :unav
DOI: 10.7910/dvn/oui4p2/dyhhtv
title: Tables 4_and_5_program.do

description: :unav
DOI: 10.7910/dvn/oui4p2/0b1ddh
title: temp.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/nocj0r
title: county industry employmentINDMS.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/yanulw
title: fracmilCBSA.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/pmpd6p
title: MSind.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/kh2ylm
title: CBSAdataTemp.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/bmdk7b
title: CreateDincMSindclass.do

description: :unav
DOI: 10.7910/dvn/oui4p2/rlh1cf
title: ContractsAllYrs.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/g5p7so
title: CreateEmpIncGVT.do

description: :unav
DOI: 10.7910/dvn/oui4p2/iya6rs
title: ReadMSdata.do

description: :unav
DOI: 10.7910/dvn/oui4p2/drs9nr
title: GvtDataCBSA.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/ympgfx
title: fracmilCBSA.do

description: :unav
DOI: 10.7910/dvn/oui4p2/wobv2m
title: MapCBSAstate.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/j4qymf
title: countyCBSAmap.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/lkj2a6
title: county industry employmentINDMSstrict.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/emh7sn
title: TempWide.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/qhtzwi
title: GvtDataCounty.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/ybtxc5
title: DLMreplication.do

description: :unav
DOI: 10.7910/dvn/oui4p2/szakx5
title: GDPbyMSAind.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/diqziz
title: Readme file.docx

description: :unav
DOI: 10.7910/dvn/oui4p2/stssji
title: CBSAdebtWide.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/9dq8jf
title: EmpShare02.tab

description: :unav
DOI: 10.7910/dvn/oui4p2/fnnnsn
title: IndEmpShare.do

description: :unav
DOI: 10.7910/dvn/oui4p2/ttyuup
title: DincMS.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/qaqbjb
title: MSdataCBSA.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/ysq9ay
title: Readme file.pdf

description: :unav
DOI: 10.7910/dvn/oui4p2/dqwrp4
title: QCEWannual.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/qdn9ir
title: StateVars.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/ad3drr
title: AssembleContracts.do

description: :unav
DOI: 10.7910/dvn/oui4p2/xpreoq
title: GvtDataCountyMonthly.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/b8xl6x
title: CBSAempAnnMSrep.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/b8iu0i
title: CountyVars.dta

description: :unav
DOI: 10.7910/dvn/oui4p2/hyhqty
title: CBSAempAnn.tab

description: :unav
DOI: 10.7910/dvn/stfnpy/uxnk6s
title: readcrime.do

description: reads in the crime data
DOI: 10.7910/dvn/stfnpy/yjaoqq
title: graphs.do

description: generates the graphs for the paper
DOI: 10.7910/dvn/stfnpy/hzmcsy
title: certstomerge.tab

description: data on lead-safe certificates
DOI: 10.7910/dvn/stfnpy/ccxruj
title: read.do

description: reads in the raw data on lead, infractions, crime and birth certificates.
DOI: 10.7910/dvn/stfnpy/b94lfm
title: tables1236.do

description: generates the main tables for the anlaysis
DOI: 10.7910/dvn/stfnpy/hlkqax
title: merge_add.do

description: merges multiple files
DOI: 10.7910/dvn/stfnpy/xxyjfb
title: tables45.do

description: generates the main tables for the analysis
DOI: 10.7910/dvn/stfnpy/j99lz0
title: tractmuni_xwalk.tab

description: a cross walk from census tract to municipality
DOI: 10.7910/dvn/stfnpy/swq3r4
title: ruby.tab

description: data that categorizes road changes over time within tracts
DOI: 10.7910/dvn/stfnpy/y7fgjk
title: read_add.do

description: reads in the raw data on lead, infractions, crime and birth certificates.
DOI: 10.7910/dvn/stfnpy/h9oa4t
title: Readme file for Lead and Crime Files July 5.docx

description: :unav
DOI: 10.7910/dvn/wmugc4/jhohzj
title: data.tab

description: :unav
DOI: 10.7910/dvn/wmugc4/428h2s
title: Figure1.do

description: :unav
DOI: 10.7910/dvn/wmugc4/l1vkmw
title: Readme.pdf

description: :unav
DOI: 10.7910/dvn/wmugc4/xxxnn4
title: Table3.do

description: :unav
DOI: 10.7910/dvn/wmugc4/gizixa
title: Table4.do

description: :unav
DOI: 10.7910/dvn/wmugc4/1uh2wb
title: table6.do

description: :unav
DOI: 10.7910/dvn/wmugc4/nogn58
title: Table7.do

description: :unav
DOI: 10.7910/dvn/wmugc4/eetnfm
title: Table8.do

description: :unav
DOI: 10.7910/dvn/wmugc4/puupbh
title: Table9.do

description: :unav
DOI: 10.7910/dvn/wmugc4/bovj1n
title: Table11.do

description: :unav
DOI: 10.7910/dvn/wmugc4/1ijmjl
title: Table12.do

description: :unav
DOI: 10.7910/dvn/kixxks/hb6u0i
title: MS20238_readme_data_access.txt

description: Description of proprietary data access procedures, codes and data
DOI: 10.7910/dvn/kixxks/wacdp6
title: MS20238_data.txt

description: Data construction code
DOI: 10.7910/dvn/kixxks/w1pqt6
title: MS20238_regressions.txt

description: Regressions code
DOI: 10.7910/dvn/kixxks/1kxv68
title: MS20238_vilkaar_data.tab

description: Activation Reform Data (municipality)
DOI: 10.7910/dvn/tngj6e/9adf1k
title: HeightDif.eps

description: :unav
DOI: 10.7910/dvn/tngj6e/xfrckm
title: NLSYPanel.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/5znine
title: twinEffectsUncond_Deaton.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/rsf8e8
title: FDeath_Uncond.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/6454oc
title: analysisDHS.txt

description: :unav
DOI: 10.7910/dvn/tngj6e/lcq7k8
title: coverage.eps

description: :unav
DOI: 10.7910/dvn/tngj6e/3y3zkh
title: TwinSweden.txt

description: :unav
DOI: 10.7910/dvn/tngj6e/ta6fof
title: analysisNLSY.txt

description: :unav
DOI: 10.7910/dvn/tngj6e/rjqiiz
title: countryEstimatesSWE.tab

description: :unav
DOI: 10.7910/dvn/tngj6e/hrdtgj
title: FDeath_Cond.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/0ewfvp
title: Smoking.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/vizqoi
title: twinEffectsUncondUnstand.tex

description: :unav
DOI: 10.7910/dvn/tngj6e/4sc0b6
title: fetalDeaths.txt

description: :unav
DOI: 10.7910/dvn/tngj6e/mw9mvv
title: NLSYfertility_mother.eps

description: :unav
DOI: 10.7910/dvn/tngj6e/09xr6o
title: worldTwins.txt

description: :unav
DOI: 10.7910/dvn/tngj6e/sdhf7m
title: MMRcuts.eps

description: :unav
DOI: 10.7910/dvn/tngj6e/3xdeth
title: worldTabs.py

description: :unav