cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e110982
title: Land Reform and Productivity: A Quantitative Analysis with Micro Data

description: We assess the effects of a major land policy change on farm size and agricultural productivity using a quantitative model and micro-level data. We study the 1988 land reform in the Philippines that imposed a ceiling on land holdings, redistributed above-ceiling lands to landless and smallholder households, and severely restricted the transferability of the redistributed farm lands. We study this reform in the context of an industry model of agriculture with a non-degenerate distribution of farm sizes featuring an occupation decision and a technology choice of farm operators. In this model, the land reform can reduce agricultural productivity not only by misallocating resources across farmers but also by distorting farmers' occupation and technology decisions. The model, calibrated to pre-reform farm-level data in the Philippines, implies that on impact the land reform reduces average farm size by 34 percent and agricultural productivity by 17 percent. The government assignment of land and the ban on its transfer are key for the magnitude of the results since a market allocation of the above-ceiling land produces about 1/3 of the size and productivity effects. These results emphasize the potential role of land market efficiency for misallocation and productivity in the agricultural sector.<br><br>
DOI: 10.3886/e110982v1
title: Land Reform and Productivity: A Quantitative Analysis with Micro Data

description: We assess the effects of a major land policy change on farm size and agricultural productivity using a quantitative model and micro-level data. We study the 1988 land reform in the Philippines that imposed a ceiling on land holdings, redistributed above-ceiling lands to landless and smallholder households, and severely restricted the transferability of the redistributed farm lands. We study this reform in the context of an industry model of agriculture with a non-degenerate distribution of farm sizes featuring an occupation decision and a technology choice of farm operators. In this model, the land reform can reduce agricultural productivity not only by misallocating resources across farmers but also by distorting farmers' occupation and technology decisions. The model, calibrated to pre-reform farm-level data in the Philippines, implies that on impact the land reform reduces average farm size by 34 percent and agricultural productivity by 17 percent. The government assignment of land and the ban on its transfer are key for the magnitude of the results since a market allocation of the above-ceiling land produces about 1/3 of the size and productivity effects. These results emphasize the potential role of land market efficiency for misallocation and productivity in the agricultural sector.<br><br>
DOI: 10.3886/e120066v1
title: NC Opportunity Scholarship Program Analysis

description: Data sources and Stata do files for "An Analysis of the Effects of North Carolina’s Opportunity Scholarship Program on Student Achievement," AERA Open, March 2020.
DOI: 10.3886/e120066
title: NC Opportunity Scholarship Program Analysis

description: Data sources and Stata do files for "An Analysis of the Effects of North Carolina’s Opportunity Scholarship Program on Student Achievement," AERA Open, March 2020.
DOI: 10.3886/e104165v1-25090
title: The National Study of Neighborhood Parks

description: This data is from the National Study of Neighborhood Parks and includes 2 waves of data. IN 2014 data were collected from 174 parks in 25 cities. In 2016 data were collected from 193 parks in 27 cities. The data include observations of parks following a SOPARC protocol, as well as summaries of park characteristics and conditions. <br>
description: Response Rates: n/a
description: coded on-site observation;
description: Smallest Geographic Unit: cities
description: Study design We used a two-stage stratified sampling strategy to select a representative sample of neighborhood parks in the US cities with a population of at least 100,000 according to the 2010 Census.28 The total 289 cities were divided into nine strata, with eight strata based on population (200,000-1,000,000, and 100,000-200,000) and region (West, Northeast, Midwest, and South), and the ninth stratum comprising cities with more than 1 million population. In the first sampling stage we randomly drew 25 cities from the 9 strata (see Appendices). All states were in the sampling frame, and by chance all sampled cities were in the 48 continental states. In each of the 25 selected cities we retrieved a list of public parks, either directly supplied by the city’s Department of Recreation and Parks or from their website. We restricted selection to avoid parks in close proximity (&lt; 1 mile from each other) and to ensure distributions of chosen parks were similar with regard to sizes and local poverty rates for all neighborhood parks within each city. We initially targeted parks between 3 and 20 acres,9 but in nearly half the cities large numbers of neighborhood parks were slightly below 3 acres or just above 20 acres. As a result, we relaxed the selection criteria to include ten parks below 3 acres (between 2.2 and 2.9 acres) in eight cities and five parks above 20 acres (between 20.1 and 23.0 acres) in five cities. We included 174 parks, representing approximately a 10% sample of all eligible neighborhood parks in the sampled cities. We excluded parks located in a census tract with no or very few residents (airport, prison, military base, hospital, industry facility, etc.), pocket parks (smaller than 2 or 3 acres), regional parks (larger than 20 or 23 acres in some cities), parks used as school fields during business hours, and parks serving special purposes only (parkways, boxing gyms, etc.). We replaced 2 parks that police said were unsafe for staff to visit.
DOI: 10.3886/e104165
title: The National Study of Neighborhood Parks

description: This data is from the National Study of Neighborhood Parks and includes 2 waves of data. IN 2014 data were collected from 174 parks in 25 cities. In 2016 data were collected from 193 parks in 27 cities. The data include observations of parks following a SOPARC protocol, as well as summaries of park characteristics and conditions. <br>
description: Response Rates: n/a
description: coded on-site observation;
description: Smallest Geographic Unit: cities
description: Study design We used a two-stage stratified sampling strategy to select a representative sample of neighborhood parks in the US cities with a population of at least 100,000 according to the 2010 Census.28 The total 289 cities were divided into nine strata, with eight strata based on population (200,000-1,000,000, and 100,000-200,000) and region (West, Northeast, Midwest, and South), and the ninth stratum comprising cities with more than 1 million population. In the first sampling stage we randomly drew 25 cities from the 9 strata (see Appendices). All states were in the sampling frame, and by chance all sampled cities were in the 48 continental states. In each of the 25 selected cities we retrieved a list of public parks, either directly supplied by the city’s Department of Recreation and Parks or from their website. We restricted selection to avoid parks in close proximity (&lt; 1 mile from each other) and to ensure distributions of chosen parks were similar with regard to sizes and local poverty rates for all neighborhood parks within each city. We initially targeted parks between 3 and 20 acres,9 but in nearly half the cities large numbers of neighborhood parks were slightly below 3 acres or just above 20 acres. As a result, we relaxed the selection criteria to include ten parks below 3 acres (between 2.2 and 2.9 acres) in eight cities and five parks above 20 acres (between 20.1 and 23.0 acres) in five cities. We included 174 parks, representing approximately a 10% sample of all eligible neighborhood parks in the sampled cities. We excluded parks located in a census tract with no or very few residents (airport, prison, military base, hospital, industry facility, etc.), pocket parks (smaller than 2 or 3 acres), regional parks (larger than 20 or 23 acres in some cities), parks used as school fields during business hours, and parks serving special purposes only (parkways, boxing gyms, etc.). We replaced 2 parks that police said were unsafe for staff to visit.
DOI: 10.7910/dvn/j9ijgm/w3zlmd
title: study1-analysis.R

description: :unav
DOI: 10.7910/dvn/j9ijgm/gciwzg
title: study3_no_abstain.tab

description: :unav
DOI: 10.7910/dvn/j9ijgm/mllcez
title: study2-analysis.R

description: :unav
DOI: 10.7910/dvn/j9ijgm/wyxtxz
title: study3-analysis.R

description: :unav
DOI: 10.7910/dvn/j9ijgm/qmratt
title: study3.tab

description: :unav
DOI: 10.7910/dvn/j9ijgm/1muupr
title: conjoint_divisive.csv

description: :unav
DOI: 10.25919/5ef29390682b4
title: Adaptive introgression across semipermeable species boundaries between local Helicoverpa zea and invasive Helicoverpa armigera moths

description: Whole genome sequencing data from Helicoverpa sp. from global populations. Data used in "Adaptive introgression across semipermeable species boundaries between local Helicoverpa zea and invasive Helicoverpa armigera moths".
DOI: 10.21223/p3/7trxlt/7x7hiw
title: B09_Name_of_Varieties_per_HHs.tab

description: :unav
DOI: 10.7281/t1/1ecvb0/qsgwee
title: DustOff-monthly-average_wrfout_d01_2004-05_06_mean.nc
DOI: 10.5519/qd.p6vixysr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4538952 records)
DOI: 10.21227/ehzg-nr71
title: Dataset

description: For submission
DOI: 10.4225/08/58dd0fb312699
title: Parkes observations for project P878 semester 2015APRS

description: Measuring the magnetic field and electron density of the solar wind is essential in order to understand the properties of solar corona. Detection of dispersion measure (DM) and Faraday rotation measure (RM) of linearly polarized radio sources caused by the solar wind provides a unique opportunity to measure these properties. Pulsars are therefore ideal sources for such study, especially for millisecond pulsars which can be used to obtain high timing precision to measure the DM variations caused by the solar wind. The millisecond pulsars, PSR J1022+1001 and  others in the globular cluster M28 and Terzan 5 with ecliptic latitude of only -0.06, -1.55 and -1.37 degree are ideal for this work as the line-of-sight to these pulsars goes very close to the Sun. We can use these pulsars detect the different regions of the solar coronal, such as solar equator and south pole region. We also propose a unique study of the solar corona on small physical scales using the lines-of-sight to multiple pulsars in the M28 and Terzan 5 globular cluster.
DOI: 10.7931/p12905
title: Plant Names Database Quarterly Changes August 2018
DOI: 10.25917/5e856446ef21e
title: Zircon sample (Sample BR05-27 / IGSN XXAB001J9) from the Neal McNaughton Legacy Collection SHRIMP mount 05-69 (IGSN XXAB001J8)
DOI: 10.7301/z0mg7mdz
title: Treatment of Non-Metastatic Muscle-Invasive Bladder Cancer [Entered Retrospectively]
DOI: 10.25625/3dvvvn/jpkuan
title: IT-Lav_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.34724/casd.295.2500.v1
title: FIchiers DÉmographiques sur les Logements et les Individus - 2015

description: Le projet de constitution de bases de données statistiques sur les logements et les individus a été lancé par l’Insee en 2011, avec pour ambition de valoriser les informations issues de l’administration fiscale sur l’impôt et les propriétés bâties et pour finalité une meilleure connaissance du parc de logement et de la démographique résidente. Fidéli se présente comme un assemblage raisonné de données administratives, et est conçu pour répondre à des finalités en matière de statistiques démographiques. Le répertoire regroupe : - des données d’origine fiscale : fichier de la taxe d’habitation, fichier des propriétés bâties, fichiers d’imposition des personnes et fichier des déclarations de revenus. Ces données, assemblées au moyen d’identifiants fiscaux sur les foyers et les locaux, constituent le coeur de Fidéli. Elles contiennent notamment des informations de nature démographique sur les personnes et la structure des ménages et les revenus perçus au sein des foyers ; - des données complémentaires contextuelles visant à enrichir les informations fiscales avec des variables permettant de mieux décrire les adresses auxquelles les personnes habitent : les coordonnées, appartenance à un IRIS ou à un quartier de la ville, présence de communautés ou de domiciliation administrative ; - des informations sur les grandes masses de revenus déclarées, ainsi que sur les montants de prestations sociales reçues par les ménages ; ces dernières sont issues du processus Filosofi.
DOI: 10.18716/nmrshiftdb2/21375
title: NMR data for (2,6-difluorophenyl) (2-propenyl) ether; allyl (2,6-difluorophenyl) ether
DOI: 10.14272/hzakvjdsbycyow-fcxvdctmsa-n/ir
title: IR (, InChI=1S/C27H37NO6/c1-7-24(29)28-22(27(31)33-6)15-21(25(28)18-9-11-19(32-5)12-10-18)26(30)34-23-14-17(4)8-13-20(23)16(2)3/h7,9-12,16-17,20-23,25H,1,8,13-15H2,2-6H3/t17-,20+,21+,22+,23-,25+/m1/s1)

description: dataset for IR
      
      IR (ATR, ṽ) = 2951, 2870, 2360, 1738, 1724, 1656, 1612, 1587, 1513, 1458, 1429, 1363, 1300, 1265, 1237, 1201, 1194, 1173, 1115, 1096, 1030, 1016, 980, 967, 955, 846, 816, 799, 744, 725, 578, 534, 513, 384 cm–1.
DOI: 10.5286/isis.e.rb1869021
title: Precipitate evolution in cold rolled Ti-V high strength low alloy (HSLA) steel

description: HSLA steels have been widely used in automotive industry to reduce fuel consumption due to its high strength and good weldability. These properties are achieved by nano-size precipitates not only because these carbides retard recrystallization, leading to smaller grain sizes, but they also increase strength. Few papers reported precipitation behavior in cold rolled HSLA steels. Moreover, reducing the amount of scarce and expensive elements in HSLA steels without too much sacrificing the strength of the steel is an important development which requires more research. Therefore, the aim of the project is to systematically understand precipitate behavior in cold rolled HSLA steels with reduced amounts of scarce elements. With SANS we want to measure total precipitate volume fraction and precipitate size distribution for a large series of systematically annealed samples.
DOI: 10.17614/q43776f8n
title: methyl l-isoleucinate
DOI: 10.20350/digitalcsic/6254
title: Brazaletes con ornamentación de elementos semiesféricos y cápsulas con rosetas - CAR0196_AR
DOI: 10.23725/az3m-8b86
title: NWD174006.b38.irc.v1.cram

description: TOPMed: NWD174006.b38.irc.v1.cram <br>File: CRAM file
DOI: 10.25491/3nb1-zt26
title: GTEX-13N2G-0011-R11a-SM-5MR3F

description: Sample ID: GTEX-13N2G-0011-R11a-SM-5MR3F
DOI: 10.13145/bacdive104743.20171208.2.1
title: Gordonia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/tu.the.2008.164
title: Factors affecting breastfeeding in the first 6 months :
DOI: 10.5281/zenodo.3905388
title: BPASS Stellar Models in DataFrames

description: This data set is made of 26 binary files (.pckl) that contain pandas DataFrames compiling all the BPASS stellar models for the fiducial IMF (img135_300 - see BPASS manual for more info or contact hfstevance@gmail or @sydonahi on Twitter). If you end up using this data set please also cite hoki - which was used to create these data. The BibTex is as follows. <pre>@ARTICLE{2020JOSS....5.1987S, author = {{Stevance}, Heloise and {Eldridge}, J. and {Stanway}, Elizabeth}, title = "{Hoki: Making BPASS accessible through Python}", journal = {The Journal of Open Source Software}, keywords = {Python, galaxies, Batchfile, SED, astronomy, binary stars, Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics}, year = "2020", month = "Jan", volume = {5}, number = {45}, eid = {1987}, pages = {1987}, doi = {10.21105/joss.01987}, archivePrefix = {arXiv}, eprint = {2001.11069}, primaryClass = {astro-ph.SR}, adsurl = {https://ui.adsabs.harvard.edu/abs/2020JOSS....5.1987S}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} }</pre>
DOI: 10.5281/zenodo.3905435
title: An Approach for Traceability Recovery between Bug Reports and Test Cases

description: Scripts and data sets used in research for <em>An Approach for Traceability Recovery between Bug Reports and Test Cases</em>. <em><strong>(Context)</strong></em> Automatic traceability recovery between software artifacts may promote early detection of issues.<br> Information Retrieval (IR) techniques have been proposed for the task, but they differ considerably in terms of input parameters and results. It is difficult to assess results when those techniques are applied in isolation, usually in small or medium-sized software projects. Also, an overview would be more comprehensive if a Deep Learning (DL) based technique is applied, in comparison with traditional IR techniques.<br> <em><strong>(Objective)</strong></em> We propose an approach to recover traceability links between bug reports and test cases, which can be instantiated with a set of IR and DL techniques.<br> <em><strong>(Method)</strong></em> For applying and evaluating our solution, we used historical data from the Mozilla Firefox quality assurance (QA) team, on which we assessed the following IR techniques: LSI, LDA, and BM25. We also experimented with a DL architecture called Convolutional Neural Networks (CNNs) through the use of Word Embeddings.<br> <em><strong>(Results)</strong></em> In this context of traceability, we noticed poor performances from three out of the four studied techniques. Only the LSI technique was effective, even standing out over the state-of-the-art BM25 technique.<br> <em><strong>(Conclusions)</strong></em> The obtained results suggest that the semi-automatic application of the LSI technique -- with an appropriate combination of thresholds -- is feasible for real-world software projects.
DOI: 10.5281/zenodo.3364610
title: An Approach for Traceability Recovery between Bug Reports and Test Cases

description: Scripts and data sets used in research for <em>An Approach for Traceability Recovery between Bug Reports and Test Cases</em>. <em><strong>(Context)</strong></em> Automatic traceability recovery between software artifacts may promote early detection of issues.<br> Information Retrieval (IR) techniques have been proposed for the task, but they differ considerably in terms of input parameters and results. It is difficult to assess results when those techniques are applied in isolation, usually in small or medium-sized software projects. Also, an overview would be more comprehensive if a Deep Learning (DL) based technique is applied, in comparison with traditional IR techniques.<br> <em><strong>(Objective)</strong></em> We propose an approach to recover traceability links between bug reports and test cases, which can be instantiated with a set of IR and DL techniques.<br> <em><strong>(Method)</strong></em> For applying and evaluating our solution, we used historical data from the Mozilla Firefox quality assurance (QA) team, on which we assessed the following IR techniques: LSI, LDA, and BM25. We also experimented with a DL architecture called Convolutional Neural Networks (CNNs) through the use of Word Embeddings.<br> <em><strong>(Results)</strong></em> In this context of traceability, we noticed poor performances from three out of the four studied techniques. Only the LSI technique was effective, even standing out over the state-of-the-art BM25 technique.<br> <em><strong>(Conclusions)</strong></em> The obtained results suggest that the semi-automatic application of the LSI technique -- with an appropriate combination of thresholds -- is feasible for real-world software projects.
DOI: 10.5281/zenodo.3905452
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905452
DOI: 10.5281/zenodo.3905451
title: gCSI

description: gCSI PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905452
DOI: 10.5281/zenodo.3905458
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905458
DOI: 10.5281/zenodo.3905457
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905458
DOI: 10.26009/s0fslkfk
title: Numerical models of river delta avulsion frequency under relative sea-level rise

description: Data and MATLAB codes used to produce the analysis and figures reported in "Accelerated river avulsion frequency on river deltas due to sea-level rise." The data and codes are organized into 3 folders: Scripts, Functions, and Data. The contents of each folder are outlined in a readme document.
DOI: 10.5281/zenodo.3905474
title: Consolidation behavior of gas hydrate-bearing sand at microscales

description: Moive S1 is uploaded with file name Movie S1. Detailed information includes the consolidation process of the gas hydrate-bearing sand, and the effective confining pressure is from 0.05 MPa to 3MPa.
DOI: 10.5281/zenodo.3905473
title: Consolidation behavior of gas hydrate-bearing sand at microscales

description: Moive S1 is uploaded with file name Movie S1. Detailed information includes the consolidation process of the gas hydrate-bearing sand, and the effective confining pressure is from 0.05 MPa to 3MPa.
DOI: 10.5439/1468782
title: Radar-based Snow Property Profile Retrievals for NSA

description: The product contains estimated snow microphysical properties retrieved primarily from vertically-profiling radar observations using a priori constraints that are dependent on atmospheric state. The product provides data at 1-minute time resolution, including snowfall rate at the surface and vertical profiles at 300-meter resolution of snow particle size distribution parameters and snow water contents. Estimated uncertainties for the snowfall rates and snow water contents are also provided. The product is obtained using an optimal estimation retrieval in which radar forward model and a priori state characteristics are based on expected snow particle microphysical and radar scattering properties evaluated from field experiment data.
DOI: 10.5439/1634184
title: ARM: CAMAOXMOVIE

description: caminst
DOI: 10.5439/1634185
title: ARM: CAMAERIMOVIE

description: caminst
DOI: 10.18141/1634205
title: FutureGen 2.0 1008 Simulation Reservoir Lookup Table

description: Lookup table of pressures and saturations from injection layer of FutureGen 2.0 reservoir model developed using the STOMP simulator. A 20-year injection period with CO2 injection at a rate of 1.1 MMT of CO2 per year is followed by a 50-year post-injection period. The permeability of each of the 31 model layers was varied independently using Latin Hypercube Sampling.
DOI: 10.21227/1mhq-c052
title: ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systems

description: We introduce a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to prior efforts, the proposed database contains both genuine voice commands and replayed recordings of such commands, collected in realistic VCSs usage scenarios and using modern voice assistant development kits. Specifically, the database contains recordings from four systems (each with a different microphone array) in a variety of environmental conditions with different forms of background noise and relative positions between speaker and device. To the best of our knowledge, this is the first publicly available database1 that has been specifically designed for the protection of state-of-the-art voice-controlled systems against various replay attacks in various conditions and environments.