cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12771634
title: Embeddings for the paper "The Zapatista Semantic Struggle: Analysing the Linguistic Innovation of the EZLN with Semantic Difference Keywords (SDKs)"

description: Embeddings from word2vec models described in "The Zapatista Semantic Struggle: Analysing the Linguistic Innovation of the EZLN with Semantic Difference Keywords (SDKs)". Full reference TBD.
DOI: 10.15468/dl.huuvg6
title: Occurrence Download

description: A dataset containing 1531850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, February, October)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1531850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028769-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wja8gn
title: Occurrence Download

description: A dataset containing 184638 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Côte d’Ivoire"
 ]
}

 The dataset includes 184638 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028770-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72jfra
title: Occurrence Download

description: A dataset containing 1091685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Acridotheres tristis (Linnaeus, 1766)"
 ]
}

 The dataset includes 1091685 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028772-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx57z8
title: Occurrence Download

description: A dataset containing 647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.98712 46.14253,3.02693 46.14253,3.02693 46.16835,2.98712 46.16835,2.98712 46.14253))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 647 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028777-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hrxgkm78cp.1
title: Research data

description: You can find the SPSS file of our study data.
DOI: 10.17632/729bv86jxn
title: Climate Change, Adaptation, and Economic Outcomes in Rice Farming: Empirical Findings from Myanmar’s Delta Region

description: This dataset contained original and processed dataset that used to analysis climate change impact on major rice growing areas in Myanmar. The primary dataset used in this study is publicly available data from the Harvard Dataverse. Socioeconomic data were obtained form International Food Policy Research Institute (IFPRI). 2023. “Myanmar Agricultural Performance Survey (MAPS), Round 3.” Household- and Community-Level Surveys and 40 years climate normals temperature and rainfall data and future climate scenarios are combined to analysis the impact of climate change. These data are available upon formal request from the relevant government agency. Future climate projection data were gathered from the World Bank’s Climate Change Knowledge Portal. This study examines the economic impact of 
 climate change on crop revenue in the Delta region, a critical area for Myanmar’s rice production. Using the Ricardian approach, the research analyzes the sensitivity of crop revenue to changes in seasonal temperature and rainfall, utilizing primary data from 1,115 major rice farmers. The findings reveal that climate change has a significant influence on crop revenue, with strong negativeimpacts and limited positive effects in the study area. Based on Shared Socioeconomic Pathways (SSPs) climate projection scenarios, the study projects that future climate change will further reduce crop revenue.
DOI: 10.17632/729bv86jxn.1
title: Climate Change, Adaptation, and Economic Outcomes in Rice Farming: Empirical Findings from Myanmar’s Delta Region

description: This dataset contained original and processed dataset that used to analysis climate change impact on major rice growing areas in Myanmar. The primary dataset used in this study is publicly available data from the Harvard Dataverse. Socioeconomic data were obtained form International Food Policy Research Institute (IFPRI). 2023. “Myanmar Agricultural Performance Survey (MAPS), Round 3.” Household- and Community-Level Surveys and 40 years climate normals temperature and rainfall data and future climate scenarios are combined to analysis the impact of climate change. These data are available upon formal request from the relevant government agency. Future climate projection data were gathered from the World Bank’s Climate Change Knowledge Portal. This study examines the economic impact of 
 climate change on crop revenue in the Delta region, a critical area for Myanmar’s rice production. Using the Ricardian approach, the research analyzes the sensitivity of crop revenue to changes in seasonal temperature and rainfall, utilizing primary data from 1,115 major rice farmers. The findings reveal that climate change has a significant influence on crop revenue, with strong negativeimpacts and limited positive effects in the study area. Based on Shared Socioeconomic Pathways (SSPs) climate projection scenarios, the study projects that future climate change will further reduce crop revenue.
DOI: 10.15468/dl.kd9kbf
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia warmingii C.DC."
 ]
}

 The dataset includes 46 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003346-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6dbrtvf7vh.1
title: Naïve Bayes-Based Data Analysis on Google Play Store’s User Review of Bank Jago Application

description: This dataset contains user reviews of Bank Jago, a digital banking application developed by PT Bank Artos Indonesia Tbk, which provides savings, lending, and transaction services. The data was collected from publicly available user reviews on the Google Play Store. These reviews, written in Indonesian, reflect user experiences and opinions regarding the application's interface, security, and transaction features. The purpose of this dataset is to analyze user sentiment and identify the key aspects that influence user satisfaction with the digital banking service.

A total of 2,000 reviews were gathered through web scraping using Python. After conducting data cleaning which are removing ambiguous, irrelevant, and duplicate entries, a final set of 1,432 high-quality reviews was retained for analysis. The dataset was manually labeled into positive and negative sentiments and processed using the Naïve Bayes algorithm in RapidMiner.

Initial findings show that 48.7% of the reviews are positive, while 51.3% are negative. Commonly mentioned themes include ease of transactions, security of personal data and funds, verification process, and customer service responsiveness.

This dataset is valuable for researchers in the fields of sentiment analysis, fintech, and digital banking, particularly those focusing on service quality. It can also be utilized as training data for machine learning models in natural language processing (NLP) and classification tasks. By analyzing customer feedback, stakeholders in the digital banking industry can gain insights to improve application functionality, strengthen customer trust, and enhance overall user satisfaction.
DOI: 10.17632/wzwpc9j5bx.1
title: Dataset Stunting and Nutritional Status of Toddler from Jeneponto Regency, South Sulawesi, Indonesia

description: This dataset provides comprehensive anthropometric and demographic data on 40,071 toddlers (aged 0–59 months) from Jeneponto Regency, South Sulawesi, Indonesia, collected between 2021 and 2024 . The primary focus is on stunting and nutritional status. Over 16,000 toddlers were classified as stunted based on WHO growth standards.

This data in excel format, dataset is divided into five files:
-2021 Data (3,412 toddlers): Measurements collected in 2021.
-2022 Data (1,111 toddlers): Measurements collected in 2022.
-2023 Data (3,808 toddlers): Measurements collected in 2023.
-2024 Data (31,740 toddlers): Measurements collected in 2024.
-Overall Dataset (40,071 toddlers): Aggregated data spanning all years.

Each record includes the following variables: Gender, Date of Birth, Geographic Location: (Regency/City, District, Public Health Center (Puskesmas), Integrated Service Post (Posyandu)), Date of Measurement,, Age (Months), Weight (kg) and Height (cm), Anthropometric Measurements: Weight-for-Age, Height-for-Age,Weight-for-Height, Z-Score for each Measurements. 

Dataset Structure:
Format: Excel (.xlsx)
Variables: 16
Geographic Specificity: Focused on Jeneponto Regency, South Sulawesi, Indonesia.
DOI: 10.17632/wzwpc9j5bx.2
title: Dataset Stunting and Nutritional Status of Toddler from Jeneponto Regency, South Sulawesi, Indonesia

description: This dataset provides comprehensive anthropometric and demographic data on 40,071 toddlers (aged 0–59 months) from Jeneponto Regency, South Sulawesi, Indonesia, collected between 2021 and 2024 . The primary focus is on stunting and nutritional status. Over 16,000 toddlers were classified as stunted based on WHO growth standards.

This data in excel format, dataset is divided into five files:
-2021 Data (3,412 toddlers): Measurements collected in 2021.
-2022 Data (1,111 toddlers): Measurements collected in 2022.
-2023 Data (3,808 toddlers): Measurements collected in 2023.
-2024 Data (31,740 toddlers): Measurements collected in 2024.
-Overall Dataset (40,071 toddlers): Aggregated data spanning all years.

Each record includes the following variables: Gender, Date of Birth, Geographic Location: (Regency/City, District, Public Health Center (Puskesmas), Integrated Service Post (Posyandu)), Date of Measurement,, Age (Months), Weight (kg) and Height (cm), Anthropometric Measurements: Weight-for-Age, Height-for-Age,Weight-for-Height, Z-Score for each Measurements. 

Dataset Structure:
Format: Excel (.xlsx)
Variables: 16
Geographic Specificity: Focused on Jeneponto Regency, South Sulawesi, Indonesia.
DOI: 10.17632/zxk5pd85rj.1
title: Eusphalerum abundance in Flight Intercept Trap in New Brunswick, Canada

description: This dataset presents the abundance of Eusphalerum spp. collected using flight intercept traps in New Brunswick, Canada, between 2015 and 2022, as a function of environmental variables. The environmental variables are Julian days (i.e., day of the year), sampling years, elevation, canopy type (i.e., coniferous, mixed and deciduous), landscape (either managed or conservation landscape), stand age and plantation (either naturally regenerated or planted).
DOI: 10.17632/zxk5pd85rj.2
title: Eusphalerum abundance in Flight Intercept Trap in New Brunswick, Canada

description: This dataset presents the abundance of Eusphalerum spp. collected using flight intercept traps in New Brunswick, Canada, between 2015 and 2022, as a function of environmental variables. The environmental variables are Julian days (i.e., day of the year), sampling years, elevation, canopy type (i.e., coniferous, mixed and deciduous), landscape (either managed or conservation landscape), stand age and plantation (either naturally regenerated or planted).
DOI: 10.7910/dvn/zhosgc/anviqw
title: mass_hi_150.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/nrrueo
title: mc_83.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/sgzmqo
title: mass_hi_250.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/uluuks
title: mc_83.tab

description: :unav
DOI: 10.7910/dvn/ndpx4t/43ftvi
title: Long-Run Elasticities - Dataverse Files.zip

description: This folder contains all files necessary to replicate the results in the publication.
DOI: 10.7910/dvn/zhosgc/5dy7kg
title: mc_intro.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/fvxztn
title: mc_preg_women.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/nzkrir
title: mc_preg_women.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/rul8tc
title: medicare_intro.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/wtiiq5
title: mc_state_exp.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ylbbvm
title: mc_state_exp.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/9fvuhc
title: medicare_intro.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/f905yo
title: Meyer.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/fmtllu
title: mother_ages.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/hwbx7b
title: medigap_tax.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/mu3g5i
title: medigap_tax.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/q5mr8u
title: mto_all.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/qiqhdq
title: mother_ages.txt

description: :unav
DOI: 10.7910/dvn/zhosgc/32zcme
title: mto.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/7pohge
title: nat_pct_kfr_kir_kid_jail_78_83.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/fzl2tg
title: mto_young.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/hsktr6
title: national_parent_child_rank.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/jduose
title: mto_old.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/avub8n
title: nit.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/h5np47
title: Nat_Spend.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/kslgxz
title: Nat_Tuition.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/kvvkeg
title: nit.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/w0ctdx
title: Nat_Tuition.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/xwmn0j
title: Nat_Spend.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ejogre
title: NSW_Ex_Addict.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/flms0v
title: nsw_adult_women.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/mrczg0
title: nsw_youth.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ncaf2e
title: NSW_Adult_Women.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/spbuzt
title: NSW_Ex_Offender.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/cmoqof
title: 1 extract and reshape_ppp and ecec.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/e6ztwb
title: 1 call data.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/fq0d08
title: 1 call data.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/m84nii
title: 1_Final_merge&clean_macrodata_EU-LFS.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/o10kor
title: 1 evs_wvs_ed.do

description: :unav
DOI: 10.7910/dvn/bugcnn/p3wgp4
title: Dataset 1. Raw data.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/0qcqut
title: obra93.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/bdj0qg
title: NSW_Youth.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/d1fyms
title: ohio_pell.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/otpzre
title: oregon_hi.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/qr4fjj
title: obra93.csv

description: :unav
DOI: 10.7910/dvn/zhosgc/yuphxu
title: ohio_pell.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/15b4cd
title: 2 extract st_age all countries.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/p0ej7x
title: 2 gss.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/vckkib
title: 2_Descriptives.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/wtqp36
title: 1_SurveySelectionRecodesCPSMerge.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/wvb7e2
title: 2 call data_special.do

description: :unav
DOI: 10.7910/dvn/bugcnn/koiak0
title: Supplement 2. The Persian version of the JSPE.pdf

description: :unav
DOI: 10.7910/dvn/bugcnn/odi1cj
title: Supplement 1. The modified REFLECT in Persian.pdf

description: :unav
DOI: 10.7910/dvn/zhosgc/7dxhpy
title: par_short_run_transfers_d3.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/e96jnf
title: par_short_run_earnings_d3.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/vxls6s
title: oregon_hi.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ydobyv
title: par_long_run_earnings.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/zbnjkh
title: par_short_run_earnings_d5.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/5bnxjf
title: 2 prepare data.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/dowmpi
title: 3 append evswvs_gss.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/snblcc
title: 3_Final_Tables_melogit.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/ttzx5v
title: 3 final prep for EULFS merge.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/tzeimx
title: 3 append st_age all countries.do

description: :unav
DOI: 10.7910/dvn/zhosgc/bjlneq
title: pell_tn.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ebc2n8
title: pell_tn.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ev8yke
title: paycheck_plus.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/intkxl
title: par_short_run_transfers_d5.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/jeyiow
title: paycheck_plus.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/wvwipg
title: perry_pre_school.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/5dxuog
title: 3 select data.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/fskrvb
title: 4 newEVS.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/kupvyj
title: 4_SensitivityAppendix.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/r82d7x
title: 4 prepare data.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/smfzxv
title: 4 get ecec per child.do

description: :unav
DOI: 10.7910/dvn/zhosgc/c5gyep
title: QUEST-1.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/cq2goj
title: QUEST.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/hltek3
title: snap_assist.csv

description: :unav
DOI: 10.7910/dvn/zhosgc/jal9qw
title: README.md

description: :unav
DOI: 10.7910/dvn/zhosgc/oco22r
title: QUEST.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/urthby
title: snap_assist.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/zvgtf6
title: Perry_Pre_School.tab

description: :unav
DOI: 10.15468/dl.sejczv
title: Occurrence Download

description: A dataset containing 1919 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 7.91317108036012",
 "DecimalLongitude is less than 7.91623063354452",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1919 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029498-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2mqjjl/a2gqni
title: country_codes.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/cor3zj
title: 6 append evswvsgss_newEVS_wvs6_ed.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/e9xc3d
title: 5 wvs6.do

description: :unav
DOI: 10.7910/dvn/2mqjjl/kjfjil
title: Baltic_Slovenia_leave.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/ygsqgc
title: cps_00030.dat

description: :unav
DOI: 10.7910/dvn/epbpmj/8oybih
title: Alternate Decades Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/tawkmp
title: 19th Century Causal Ordering Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/v3bps2
title: Alternate Newspaper Table Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/yb7gtw
title: carpenter_petitions.RDS

description: :unav
DOI: 10.7910/dvn/zhosgc/4lkvam
title: snap_imm.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/5kevzd
title: snap_intro.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/kw05vx
title: snap_info.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/pcqp9l
title: snap_imm.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/rdnujv
title: snap_info.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/5su6ii
title: decile ratio p9050 p9010 p5010 -all.xml

description: :unav
DOI: 10.7910/dvn/2mqjjl/fj9tv5
title: cps_add vars_ml_womenonly_2064.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/hma9vk
title: cps_add vars_ml_bothsex_2049.dta

description: :unav
DOI: 10.7910/dvn/2mqjjl/nh7x9d
title: cps_add vars_ml_bothsex_2064.dta

description: :unav
DOI: 10.7910/dvn/2mqjjl/zhpirx
title: cps_add vars_ml_womenonly_2049.tab

description: :unav
DOI: 10.7910/dvn/epbpmj/12x0g9
title: contemporary_social_capital_data_1870po.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/32wvu3
title: contemporary_social_capital_data_1850po.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/f52pun
title: contemporary_social_capital_data_1880po.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/ft9ra6
title: churches_1860.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/qgzva7
title: contemporary_social_capital_data_1860po.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/xwpryb
title: churches_1850.RDS

description: :unav
DOI: 10.7910/dvn/zhosgc/9r7fns
title: ss_benefit.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/d2aa03
title: ssi_judge.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/t9dsz0
title: snap_intro.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/uegz8t
title: ssi_judge.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/xglvgw
title: Source.txt

description: :unav
DOI: 10.7910/dvn/zhosgc/xmmuxl
title: Ss_benefit.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/rmp0hm
title: decile ratio p9050 p9010 p5010 -women.xml

description: :unav
DOI: 10.7910/dvn/2mqjjl/u8wir3
title: EVS2017_Data_July2019.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/x4pzf2
title: decile ratio p9050 p9010 p5010 -men.xml

description: :unav
DOI: 10.7910/dvn/2mqjjl/ygysnh
title: ecec_perchild_ip.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/zfyvds
title: ecec_perchild.tab

description: :unav
DOI: 10.7910/dvn/74n5yh/7n0gyo
title: John&Sjoberg_2020_Analysis_script.R

description: :unav
DOI: 10.7910/dvn/74n5yh/a2mplo
title: John&Sjoberg_2020_Data_prep_script.R

description: :unav
DOI: 10.7910/dvn/74n5yh/nbpjvk
title: Mzalendo_RCT_data_raw.RData

description: :unav
DOI: 10.7910/dvn/epbpmj/4htcku
title: Figure 1 Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/8kgcw2
title: Figure 3 Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/8lm8pu
title: Figure 2 Replication.R

description: :unav
DOI: 10.7910/dvn/epbpmj/8zgofa
title: contemporary_social_capital_data_with_news.RDS

description: :unav
DOI: 10.7910/dvn/epbpmj/svqspt
title: contemporary_social_capital_data.RDS

description: :unav
DOI: 10.7910/dvn/zhosgc/1iukel
title: stata_create_fte_cpi_vars_87_15.do

description: :unav
DOI: 10.7910/dvn/zhosgc/d31ryp
title: state_taxes.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/gggre7
title: Tax.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/rx0jff
title: ssi_review.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/ugmblz
title: tax_rate_by_quintile.tab

description: :unav
DOI: 10.7910/dvn/zhosgc/uvckob
title: ssi_review.tab

description: :unav
DOI: 10.15468/dl.gbh7tx
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spermophilus dauricus Brandt, 1843"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029499-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/2mqjjl/aaaaq4
title: high_pay_incidence.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/anzvuv
title: in299sample.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/d9qcfm
title: GSS7218_R1.dta

description: :unav
DOI: 10.7910/dvn/2mqjjl/goy624
title: Hofstede_6dimensions.tab

description: :unav
DOI: 10.7910/dvn/2mqjjl/s6fkt4
title: Final_MacroDataset_Jan2020.tab

description: :unav