cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/9vpzmg
title: hou02665c01073

description: Houghton Library, collector. Houghton Library collection of Cuban slavery documents, 1561-1898. Testimonial of conversion, Eduardo [last name illegible] / Testimonio de conversión, Eduardo [apellido no dado], Cárdenas, 1879 July 8 / julio 8. MS Span 170, Box 5, Folder 58. Houghton Library, Harvard University, Cambridge, Mass.
description: URN-3:FHCL.HOUGH:100971016
DOI: 10.7910/dvn/uzmb69
title: Graph inference datasets. Replication Data for: "Learning Functional Causal Models with Generative Neural Networks"

description: &lt;p&gt; Graph datasets in csv format.
Used in the article Learning Functional Causal Models with Generative Neural Networks. 

&lt;p&gt;1) Each file *_numdata.csv contain the data of around 20 variables connected in a graph without hidden variables.
G2, G3, G4 and G5 refered to graph with 2, 3, 4 and 5 parents maximum for each node. Each file *_target.csv contains the ground truth of the graph with cause -&gt; effect
File beginning by "Big" are larger graphs with 100 variables. 

&lt;p&gt; 2) Each file *_confounders_numdata.csv contain the data of around 20 variables connected in a graph. There are 3 hidden variables. Each file *_confounders_skeleton.csv contains the skeleton of the graph (including spurious links due to common hidden cause). Each file *_confounders_target.csv contains the ground truth of the graph with the direct visible cause -&gt; effect. The task is to recover the direct visible links cause-&gt;effect while removing the spurious links of the skeleton
DOI: 10.15468/dl.mzpwk2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus hyeyoungae"
 ]
}

 The dataset includes 55 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025546-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyykze
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 136 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025149-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktwmj3
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aciagrion balachowskyi"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025151-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597444
title: АҲОЛИНИ ОРГАНИК ҚИШЛОҚ ХЎЖАЛИГИ МАҲСУЛОТЛАРИГА ИСТЕЪМОЛ ТАЛАБИНИ ШАКЛЛАНТИРИШ: МУАММО ВА ИМКОНИЯТЛАР
DOI: 10.5281/zenodo.15597445
title: АҲОЛИНИ ОРГАНИК ҚИШЛОҚ ХЎЖАЛИГИ МАҲСУЛОТЛАРИГА ИСТЕЪМОЛ ТАЛАБИНИ ШАКЛЛАНТИРИШ: МУАММО ВА ИМКОНИЯТЛАР
DOI: 10.17632/hbvgfk6kcn
title: sicp-fielddata

description: Test data of carbonate precipitation rate with time, soil pore size (by mercury intrusion porosimetry test), changes in ground level under wind erosion and penetration force.
DOI: 10.17632/hbvgfk6kcn.1
title: sicp-fielddata

description: Test data of carbonate precipitation rate with time, soil pore size (by mercury intrusion porosimetry test), changes in ground level under wind erosion and penetration force.
DOI: 10.17632/hmn4zv5mxd
title: bacterial and fungal communities assembly processes

description: Soil original data
DOI: 10.17632/hmn4zv5mxd.1
title: bacterial and fungal communities assembly processes

description: Soil original data
DOI: 10.15468/dl.7epnef
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021838-250525065834625/datasets/export for details.
DOI: 10.17632/rvn2xyx98h
title: Investigating Dual Character of Atmospheric Ammonia on Particulate NH4NO3: Reducing Evaporation Versus Promoting Formation

description: This dataset supports a study on the dual role of atmospheric ammonia (NH₃) in both promoting the formation and suppressing the evaporation of particulate ammonium nitrate (NH₄NO₃) in a tropical coastal atmosphere. It includes high-resolution observations of NH₃, HNO₃*, PM₂.₅ ionic components, particle size distributions, and carbonaceous species. The data reveal persistent gas-particle partitioning disequilibrium and distinct seasonal formation mechanisms, providing a robust basis for thermodynamic analysis and source apportionment of nitrate aerosols.
DOI: 10.17632/rvn2xyx98h.1
title: Investigating Dual Character of Atmospheric Ammonia on Particulate NH4NO3: Reducing Evaporation Versus Promoting Formation

description: This dataset supports a study on the dual role of atmospheric ammonia (NH₃) in both promoting the formation and suppressing the evaporation of particulate ammonium nitrate (NH₄NO₃) in a tropical coastal atmosphere. It includes high-resolution observations of NH₃, HNO₃*, PM₂.₅ ionic components, particle size distributions, and carbonaceous species. The data reveal persistent gas-particle partitioning disequilibrium and distinct seasonal formation mechanisms, providing a robust basis for thermodynamic analysis and source apportionment of nitrate aerosols.
DOI: 10.15468/dl.8aku79
title: Occurrence Download

description: A dataset containing 185126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.94373 46.10536,6.24223 46.08352,6.38784 46.33834,6.63538 46.40386,6.75187 46.3165,6.83923 46.0544,7.01396 45.92335,7.21054 45.74134,7.56 45.93063,7.96043 45.94519,8.27349 46.10536,8.44094 46.38202,8.58655 46.11264,8.754 46.06168,8.87049 45.82142,9.13259 45.74134,9.23452 46.04712,9.39469 46.37474,9.65679 46.24369,9.98441 46.28009,10.1373 46.28009,10.22467 46.52035,10.55229 46.44027,10.50133 47.05183,10.21011 47.01543,9.89704 46.8771,9.72959 47.07367,9.44565 47.08823,9.44565 47.2484,9.62767 47.39401,9.37285 47.67067,8.9797 47.7362,8.74672 47.78716,8.49919 47.88181,8.33902 47.7726,8.39726 47.5469,8.1206 47.63427,7.42895 47.55418,7.28334 47.4377,6.91204 47.42313,6.75915 47.13919,6.62082 46.94262,6.46065 46.89894,6.27863 46.77517,6.11118 46.6514,6.01653 46.49123,6.16215 46.32378,5.94373 46.10536))",
 "TaxonKey is Rupicapra rupicapra (Linnaeus, 1758)"
 ]
}

 The dataset includes 185126 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021824-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fuser
title: Occurrence Download

description: A dataset containing 7295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cypridopsis vidua (O.F.Muller)"
 ]
}

 The dataset includes 7295 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021839-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29246248
title: Excel Spreadsheet to calculate lease values by my method from Isaac Newton and Compound Interest

description: Lease valuations for 1, 2 or 3 lives
DOI: 10.6084/m9.figshare.29246248.v1
title: Excel Spreadsheet to calculate lease values by my method from Isaac Newton and Compound Interest

description: Lease valuations for 1, 2 or 3 lives
DOI: 10.3886/e231568
title: Replication data for: Tax Credits and Small Firm R&D Spending

description: In 2004, Canada changed the eligibility rules for its Scientific Research and Experimental Development (SRED) tax credit, which provides tax incentives for R&D conducted by small private firms. Difference-in-difference estimates show a 17 percent increase in total R&D among eligible firms. The impact was larger for firms that took the tax credits as refunds because they had no current tax liability. Contract R&D expenditures were more elastic than the R&D wage bill. The response was also greater for firms that invested in R&D capital before the policy change.
DOI: 10.3886/e231568v1
title: Replication data for: Tax Credits and Small Firm R&D Spending

description: In 2004, Canada changed the eligibility rules for its Scientific Research and Experimental Development (SRED) tax credit, which provides tax incentives for R&D conducted by small private firms. Difference-in-difference estimates show a 17 percent increase in total R&D among eligible firms. The impact was larger for firms that took the tax credits as refunds because they had no current tax liability. Contract R&D expenditures were more elastic than the R&D wage bill. The response was also greater for firms that invested in R&D capital before the policy change.
DOI: 10.15468/dl.4tp5wk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 -7.1504,26.9648 -7.1504,26.9648 -16.1504,35.9648 -16.1504,35.9648 -7.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010546-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15553989
title: CheckingEvolution

description: public data and scripts for 'The Evolution of Type Checking in Python: An Empirical Study'
DOI: 10.5281/zenodo.15553990
title: CheckingEvolution

description: public data and scripts for 'The Evolution of Type Checking in Python: An Empirical Study'
DOI: 10.17611/dp/20548674
title: Global ShakeMovie synthetic for September 26, 2022 MW 5.3 VANUATU ISLANDS
DOI: 10.17611/dp/20552730
title: Global ShakeMovie synthetic for September 29, 2022 MW 6.4 EAST OF SOUTH SANDWICH ISLANDS
DOI: 10.17611/dp/20553478
title: Global ShakeMovie synthetic for September 29, 2022 MW 5.8 REYKJANES RIDGE
DOI: 10.17611/dp/20554268
title: Global ShakeMovie synthetic for September 28, 2022 MW 5.4 NORTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/20554272
title: Global ShakeMovie synthetic for September 30, 2022 MW 5.8 NORTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/20554276
title: Global ShakeMovie synthetic for October 01, 2022 MW 5.9 REYKJANES RIDGE
DOI: 10.17611/dp/20555024
title: Global ShakeMovie synthetic for October 01, 2022 MW 5.8 KYUSHU, JAPAN
DOI: 10.17611/dp/20555028
title: Global ShakeMovie synthetic for October 01, 2022 MW 5.6 NEAR COAST OF OAXACA, MEXICO
DOI: 10.17611/dp/20555032
title: Global ShakeMovie synthetic for October 02, 2022 MW 5.7 MID-INDIAN RIDGE
DOI: 10.17611/dp/20555036
title: Global ShakeMovie synthetic for October 02, 2022 MW 5.7 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/20555040
title: Global ShakeMovie synthetic for October 02, 2022 MW 5.6 GULF OF CALIFORNIA
DOI: 10.17611/dp/20555800
title: Global ShakeMovie synthetic for October 02, 2022 MW 5.6 MARIANA ISLANDS REGION
DOI: 10.17611/dp/20555804
title: Global ShakeMovie synthetic for October 03, 2022 MW 5.4 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/20557302
title: Global ShakeMovie synthetic for October 05, 2022 MW 5.7 ARMENIA-AZERBAIJAN-IRAN BORD REG
DOI: 10.17611/dp/20557306
title: Global ShakeMovie synthetic for October 05, 2022 MW 5.9 NEAR COAST OF NORTHERN PERU
DOI: 10.17611/dp/20559012
title: Global ShakeMovie synthetic for October 07, 2022 MW 5.6 SAMOA ISLANDS REGION
DOI: 10.17611/dp/20561511
title: Global ShakeMovie synthetic for October 08, 2022 MW 5.6 PACIFIC-ANTARCTIC RIDGE
DOI: 10.17611/dp/20561515
title: Global ShakeMovie synthetic for October 09, 2022 MW 6.2 CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/20561519
title: Global ShakeMovie synthetic for October 09, 2022 MW 5.4 FIJI ISLANDS
DOI: 10.17611/dp/20561523
title: Global ShakeMovie synthetic for October 10, 2022 MW 5.4 FIJI ISLANDS REGION
DOI: 10.17611/dp/20564777
title: Global ShakeMovie synthetic for October 10, 2022 MW 5.7 TAIWAN REGION
DOI: 10.17611/dp/20565525
title: Global ShakeMovie synthetic for October 13, 2022 MW 6.3 NEW IRELAND REGION, P.N.G.
DOI: 10.17611/dp/20566273
title: Global ShakeMovie synthetic for October 14, 2022 MW 5.5 FIJI ISLANDS REGION
DOI: 10.17611/dp/20569054
title: Global ShakeMovie synthetic for October 16, 2022 MW 6.4 OFF COAST OF CENTRAL AMERICA
DOI: 10.17611/dp/20571769
title: Global ShakeMovie synthetic for October 19, 2022 MW 5.3 QINGHAI, CHINA
DOI: 10.17611/dp/20571773
title: Global ShakeMovie synthetic for October 19, 2022 MW 5.7 ASCENSION ISLAND REGION
DOI: 10.17611/dp/20571777
title: Global ShakeMovie synthetic for October 20, 2022 MW 5.3 CENTRAL EAST PACIFIC RISE
DOI: 10.17611/dp/20572525
title: Global ShakeMovie synthetic for October 20, 2022 MW 6.7 SOUTH OF PANAMA
DOI: 10.17611/dp/20576397
title: Global ShakeMovie synthetic for October 24, 2022 MW 6.0 SAMOA ISLANDS REGION
DOI: 10.17611/dp/20577151
title: Global ShakeMovie synthetic for October 25, 2022 MW 6.3 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/20577155
title: Global ShakeMovie synthetic for October 25, 2022 MW 6.5 LUZON, PHILIPPINES
DOI: 10.17611/dp/20596128
title: Global ShakeMovie synthetic for October 28, 2022 MW 5.5 EAST OF NORTH ISLAND, N.Z.
DOI: 10.17611/dp/20621331
title: Global ShakeMovie synthetic for October 28, 2022 MW 6.0 NEAR COAST OF PERU
DOI: 10.17611/dp/20621335
title: Global ShakeMovie synthetic for October 29, 2022 MW 5.8 NEAR COAST OF PERU
DOI: 10.17611/dp/20623686
title: Global ShakeMovie synthetic for October 31, 2022 MW 5.7 SOUTHEAST OF EASTER ISLAND
DOI: 10.17611/dp/20623690
title: Global ShakeMovie synthetic for October 31, 2022 MW 5.6 PERU-ECUADOR BORDER REGION
DOI: 10.17611/dp/20623694
title: Global ShakeMovie synthetic for October 31, 2022 MW 5.4 SOUTHERN ITALY
DOI: 10.15468/dl.uq5ku6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dioscorea alata",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027467-250811113504898/datasets/export for details.
DOI: 10.17611/dp/20625446
title: Global ShakeMovie synthetic for November 02, 2022 MW 6.0 NORTH PACIFIC OCEAN
DOI: 10.17611/dp/20625450
title: Global ShakeMovie synthetic for November 02, 2022 MW 6.1 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/20625454
title: Global ShakeMovie synthetic for November 03, 2022 MW 5.5 BANDA SEA
DOI: 10.17611/dp/20625458
title: Global ShakeMovie synthetic for November 03, 2022 MW 5.4 SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/20626206
title: Global ShakeMovie synthetic for November 04, 2022 MW 5.7 EL SALVADOR
DOI: 10.17611/dp/20626210
title: Global ShakeMovie synthetic for November 04, 2022 MW 6.1 GULF OF CALIFORNIA
DOI: 10.17611/dp/20632715
title: Global ShakeMovie synthetic for November 06, 2022 MW 5.6 CELEBES SEA
DOI: 10.17611/dp/20637193
title: Global ShakeMovie synthetic for November 08, 2022 MW 5.7 NEPAL
DOI: 10.15468/dl.pwtth7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva sylvestris",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025593-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/9cd46q
title: Zimbabwe (2014): MAP Study Evaluating the Coverage and Quality of Coverage of Protector Plus and CARE condoms in Zimbabwe.

description: Population Services International Zimbabwe (PSI/Z) uses commercial marketing and distribution strategies to bring health products, services and messages to vulnerable populations in urban and rural Zimbabwe. PSI/Z is implementing a multi-year USAID and DFID funded HIV prevention programs targeting sexually active Zimbabwean men and women ages 15-49 years. This MAP survey (Round 6) was conducted to assess the geographical coverage and quality of coverage of Protector Plus male condoms and CARE female condoms. The study also estimated numeric distribution of Protector Plus condoms. Total Market Approach (TMA) metrics were calculated using estimates of market volume, market value and brand diversity for Condoms in Zimbabwe. Lot Quality Assurance Sampling (LQAS) technique was used to draw a sample of 19 wards within each supervision area (SA), i.e. a district. A sample size of 19 gives reasonably accurate estimates with an acceptable error margin for decision making. A total of 92 districts and 43 high-risk areas comprising 19 growth points, 19 mining areas and 5 border towns were selected. In cases where a district had fewer than 19 wards, a census of all the wards was done and direct percentage value was calculated to determine whether the SA reaches the target coverage standard or not. Data were collected in September 2014 using Survey ToGo software on android phones. Data cleaning and analysis was done using STATA version 13.0.
description: STATA , 13.0
DOI: 10.7910/dvn/9rb0wg
title: Census of Population and Housing, 1970 Public Use Sample: 5% and 15% Combined File Prepared by Don Treiman (2% sample with subset of variables from Study M348 and M349) (M106V1)

description: &lt;p&gt;This data collection contains a subset of variables from the 1970 U.S. census, 5% and 15% samples, combined with the 1980 census 5% sample. The variables in the 1970 data are: county group, sex, age, highest grade attended, finished highest grade, 1970 industry, 1970 occupation, wage and salary earnings, earnings from self-employment, earnings from farm self-employment, and 1980 Trieman imputation codes. The 1980 variables are: region/division, state, sex, age, highest grade of school attended, finished highest grade, 1980 industry, 1980 occupation, wage and slaary earnings in 1979, non-farm self-employment income, farm self-employment income. &lt;/p&gt;
DOI: 10.7910/dvn/qfhmvc
title: Chapter 8 Replication Data

description: Replication data for Figure 3.1 and analysis in Chapter 8 of Rival Claims
DOI: 10.7910/dvn/uvtzzv
title: Replication Data for: Nowhere to Go: Why do Some Civil Wars Generate More Refugees than Others?

description: Civil wars greatly vary in the number of refugees they generate, ranging from zero to over six millions in a given conflict. Work on this variation has largely focused on ‘push’ factors—deleterious attributes of the home country that lead to refugee flows, such as violence and repression. Yet, few have studied the importance of ‘pull’ factors—attractive features of the potential host countries. Here we show in particular the importance of the expected quality of life in possible destinations. Using data on civil wars from 1951 to 2008, we find that the proximity of democratic and wealthy potential hosts accounts for much of the variation in the number of refugees. Out-of-sample validation methods show that these ‘pull’ factors account for nearly as much predictive power as all the main variables previously identified in the literature combined.
DOI: 10.7910/dvn/9wkgrn
title: About the Program

description: About the Program and it's structure
DOI: 10.15468/dl.2v57zc
title: Occurrence Download

description: A dataset containing 2199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Troglodytes troglodytes (Linnaeus, 1758))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 2199 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017960-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/7nfe4j
title: Chest X-Ray Images

description: Chest X-Ray Images simulated with MC codes from CTs of patients affected by COVID-19. It includes images acquired with 130 keV (high energy) and 60 keV (low energy) spectra. Images are separated in three types: contribution only of non-scattered rays, contribution only of scattered rays and contribution of both scattered and non-scattered rays. Values in the image are normalized by a simulation on air
description: In figure file names:
- THE stands for high energy, scatter+non-scatter images.
- NSHE stands for high energy, non-scatter images.
- SHE stands for high energy, scatter images.
The same nomenclature is used for low energy images ("LE" instead of "HE").
DOI: 10.7910/dvn/uulsm5
title: Replication data for "Aizpurua, A., & Koutstaal, W. (2018). A new index of semantic short-term memory: Development and validation of the conceptual span task in Spanish. PLoS ONE"

description: These data files are related to "Aizpurua, A., & Koutstaal, W. (2018). A new index of semantic short-term memory: Development and validation of the conceptual span task in Spanish. PLoS ONE"
DOI: 10.15468/dl.k7q98j
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Senna aversiflora (Herb.) H.S.Irwin & Barneby"
 ]
}

 The dataset includes 318 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017956-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/7mkj1j
title: Replication Data for: Mortality Impacts of Medicaid Expansion: Revisiting Sommers, et al. 2012

description: Here we provide replication data and code for our analysis of Medicaid expansion's effects on mortality.
DOI: 10.7910/dvn/urbysd
title: CC PROGRESS TLC SAS code

description: SAS code for CC PROGRESS TLC analysis for manuscript entitled Examining the perceived impact of the COVID-19 pandemic on cervical cancer screening practices among clinicians practicing in Federally Qualified Health Centers: A mixed methods study.