cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/bm54jy/nl0xko
title: README.txt

description: :unav
DOI: 10.5519/qd.d7ae88ib
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (26 records)
DOI: 10.17632/j8hsk3mb22.1
title: Yamaha All New R15 VVA Stationary Noise

description: Difference of Stationary Noise Level with Three Muffler Variation (standard, Modification with dB Killer attached and off) The measurement use the UN ECE Regulation 41, using Bruel & Kjaer 2250 as the main instrument . The data show that the modification of muffler is effecting the noise level, and the dB Killer is reducing it in significant value.
DOI: 10.17632/srzztj733v.3
title: A dataset for emotional reactions and family resilience during COVID-19 isolation period among Indonesian families

description: This supplementary material presents questionnaires, variables, and raw data about family demographics, positive and negative emotions, and family resilience during COVID-19 isolation among Indonesian families. A survey was conducted to measure the family’s positive or negative emotional reactions and the degree of their resilience. The data were categorized into age, sex, type of family, family size, length of marriage, family’s environment, and Family COVID-19 status. The samples were gathered from 365 parents of Indonesian students who were willing to fill an online questionnaire. Further, the data analysis involved demographic sample, descriptive statistics, median test, Kruskal-Wallis, and an inter-variable correlation.
DOI: 10.7910/dvn/66dm1i/b9hhr6
title: ReadMe_Final Appendix.do

description: The dofile describes the datasets and estimations in STATA for the results in the online appendix to the published version of the paper
DOI: 10.7910/dvn/66dm1i/bktbsp
title: ReadMe_Final version.do

description: The dofile describes the datasets and estimations in STATA for the results in the published version of the paper
DOI: 10.5281/zenodo.3907894
title: MOVECARE Monitoring Dataset

description: MoveCare (Multiple-actOrs Virtual Empathic CARgiver for the Elder) is a research and innovation project funded by the European Commission under the Horizon 2020 Programme. MOVECARE develops and field-tests an innovative multi-actor platform that integrates an existing robotic system with domotic sensors, smart objects, a virtual community and an activity center to provide assistance, transparent monitoring and activities to the elder at home through a full-fledged, modular, personalized, and compliant approach that does not require the elder to wear any particular device or to change his/her habits. This dataset contains the heterogeneous monitoring data collected by the different monitoring systems throughout development and testing for the assessment of the user's condition. The dataset contains the following files: 1.EXG - Grip force 2.BWT - Body weight 3.STB - Standalone use of smart objects 4.PEN - Smart pen 5.ALL - Neuropsycological tests 6.VoiceAnalysis - Voice analysis 7.ZAQ - Spot questions 8.SMP - Mobile use 9.DMW - Movement detection More information about the dataset can be found in the attached file MOVECARE OPEN DATA MODEL. Information about the json representation can be found in the DATA MODEL - Reference file.
DOI: 10.5066/p9efjdpx
title: Neversink River freshwater mussel surveys: 2006-2009

description: Data are included for two types of field surveys conducted for freshwater mussels within the Neversink River in the Mid-Atlantic region of the United States. Timed search (qualitative) surveys were conducted in consecutive ~200 meter sections of river in 2006 and 2007; a subset of these sections were re-surveyed qualitatively in 2009. The number of mussels of each species and associated search time were recorded for each survey section to determine a catch per unit effort (CPUE; number of individuals found per person hour). Within the 2009 qualitatively surveyed areas, ten ~200 meter sections of stream were selected in which to conduct quantitative surveys to estimate mussel abundance. Quantitative survey methods follow those explained in Galbraith et al. 2016. Briefly, an imaginary grid was superimposed over each section of river, consisting of a varying number of columns and rows (depending on river width and section length). The intersection of each column a row defined a cell within the survey area. Within each cell, 4 individual random starts (quadrats) were surveyed.
DOI: 10.5281/zenodo.3908439
title: Data set for the manuscript "Reproductive physiology corresponds to adult nutrition and task performance in a Neotropical paper wasp: a test of dominance-nutrition hypothesis predictions"

description: Data set for the manuscript "Reproductive physiology corresponds to adult nutrition and task performance in a Neotropical paper wasp: a test of dominance-nutrition hypothesis predictions"
DOI: 10.5281/zenodo.3908438
title: Data set for the manuscript "Reproductive physiology corresponds to adult nutrition and task performance in a Neotropical paper wasp: a test of dominance-nutrition hypothesis predictions"

description: Data set for the manuscript "Reproductive physiology corresponds to adult nutrition and task performance in a Neotropical paper wasp: a test of dominance-nutrition hypothesis predictions"
DOI: 10.7910/dvn/8satpr/ofrs2y
title: optrdd.tar

description: Archive of the optrdd program + experiments, maintained at https://github.com/swager/optrdd
DOI: 10.7910/dvn/8agdn8/0bu2kf
title: data_final_restat.tar

description: :unav
DOI: 10.7910/dvn/8agdn8/igjeym
title: readme.txt

description: :unav
DOI: 10.7910/dvn/8agdn8/osqr9s
title: restat_final_all_programs.tar

description: :unav
DOI: 10.7910/dvn/0qjqgm/00vssk
title: rnd_data2_iolinks.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/qiuiqg
title: readme.txt

description: :unav
DOI: 10.7910/dvn/0qjqgm/elr9yg
title: compute_homogeneous_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/y9i30h
title: rnd_data1_s.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/lq3tuh
title: reg_sampling.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/lvfhnw
title: initialize_homogeneous_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/l8oq3l
title: rnd_data1_m.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/pquaxc
title: initialize_targeted_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/d1qil1
title: csvwrite_with_headers.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/r1qwp2
title: main_sampling.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/cw6h60
title: rnd_data1_iolinks.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/40p1ws
title: compute_targeted_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/wm5aj8
title: rnd_regression.do

description: :unav
DOI: 10.7910/dvn/0qjqgm/0ierhe
title: logit_obj.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/o1ivz1
title: output_corner.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/ilwnk3
title: rnd_data2.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/o1qyzj
title: welfare_corner_targeted_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/eihrkm
title: welfare_corner_homogeneous_subsidies.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/ria45q
title: fixed_effects_estimates.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/gc5hyk
title: rnd_data3.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/o9x4e1
title: main_data.m

description: :unav
DOI: 10.7910/dvn/0qjqgm/20oinb
title: rnd_data1.m

description: :unav
DOI: 10.7910/dvn/gvobtp/32vcpe
title: JakielaOzierRestatReplicationData.dta

description: :unav
DOI: 10.7910/dvn/gvobtp/osvycc
title: README.txt

description: :unav
DOI: 10.7910/dvn/gvobtp/4kqjhl
title: JakielaOzierREStatReplicateTables.do

description: :unav
DOI: 10.5066/p9uc43ps
title: Pine Creek freshwater mussel qualitative survey data 1995 through 2009

description: Data are included for field surveys conducted for freshwater mussels within the Pine Creek watershed in the Mid-Atlantic region of the United States. Timed search (qualitative) surveys were conducted in ~200 meter sections of river between 1995 and 2009; The number of mussels of each species and associated search time were recorded for each survey section to determine a catch per unit effort (CPUE; number of individuals found per person hour).
DOI: 10.7910/dvn/ej0nf7/gfdznm
title: regressions.do

description: Main regressions using NLSY79 data
DOI: 10.7910/dvn/ej0nf7/qhhhtu
title: transitions.do

description: Ancillary file for regressions
DOI: 10.7910/dvn/ej0nf7/ska4ha
title: bankruptcy_foreclosureII.do

description: Bankruptcy and Foreclosure Regressions
DOI: 10.7910/dvn/ej0nf7/g7ljb9
title: datageneration.do

description: Main data creation file
DOI: 10.7910/dvn/ej0nf7/kgfdsn
title: Readme for Replication Files.docx

description: Read first
DOI: 10.7910/dvn/ej0nf7/61rn9s
title: group_a.do

description: ancillary file for data creation
DOI: 10.7910/dvn/ej0nf7/ljb2cl
title: impatience.do

description: ancillary file for data creation
DOI: 10.7910/dvn/ej0nf7/jbjr00
title: job_shock.do

description: ancillary file for data creation
DOI: 10.7910/dvn/ej0nf7/k9irta
title: predicting_lconstf_all.do

description: ancillary file for regressions. Instrument
DOI: 10.7910/dvn/ej0nf7/kw9xgu
title: predicting_lconstf.do

description: ancillary file for regressions. Instrument
DOI: 10.7910/dvn/ej0nf7/0lkelw
title: SCF.do

description: Regression using data from the Survey of Consumer Finances
DOI: 10.7910/dvn/ej0nf7/h2sxxm
title: riskaversion.do

description: ancillary file for data creation
DOI: 10.7910/dvn/ej0nf7/hhnp7v
title: bankruptcy_foreclosureI.do

description: Bankruptcy and Foreclosure Regressions
DOI: 10.7910/dvn/ej0nf7/gcep9f
title: scf.tab

description: :unav
DOI: 10.7910/dvn/ej0nf7/mqf61s
title: nlsy.tab

description: :unav
DOI: 10.5281/zenodo.3822413
title: cgbind: A Python Module and Web App for Automated Metallocage Construction and Host- Guest Characterization: M2L4 dataset

description: Dataset containing 5639 saved <em>cgbind</em> cage objects.
DOI: 10.5281/zenodo.3822412
title: cgbind: A Python Module and Web App for Automated Metallocage Construction and Host- Guest Characterization: M2L4 dataset

description: Dataset containing 5639 saved <em>cgbind</em> cage objects.
DOI: 10.34725/dvn/qrlzqh
title: Nicaragua - Honduras Village level Baseline

description: This study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 33 villages were surveyed between September 2013 and February 2014 namely: Santa Cruz, Altamira, Sumubila, Nazareth, El Naranjal, Columbus, San Miguel, San Pablo, San Antonio de Upa, Rio Negro, Santa Ana, El Roblar, Los Limones, Verapaz, La Chimpinilla, Ilipo, copen, jardines de la sierra, la celia, las champas, las delicias, Cuyamel, Zapotales, El Venado, Limoncito, Las guarumas, La tambora, el guancaste, la bodega, la gimerita, la libertad, los laureles, santa marta.
DOI: 10.34725/dvn/v8fydn
title: Western Amazon Village Level Baseline

description: This study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 30 villages were surveyed between September to December 2014 and January to February 2015 from 30 villages namely: Fitzcarrald, San Bernardo, Las Mercedes, Victor Raul Haya Del La Torre, Los Cedros, Tahuantinsuyo, Monte Sinai, Los Manantiales, La Torre, Baltimore, Comunidad Nativa Sinchi Roca, Caserio Bajo Shiringal, Caserio Nuevo Huanuco, Caserio Nueva Bellavistal, Caserio Nuevo Ucayali, Centro Poblado San Juan Bautista, Caserio Alto Shiringal, Caserio Villa El Salvador, Caserio Nuevo Horizonte, Caserio Buenos Aires, Soberania, El Chorro, Espiritu, Petronila, Holanda, Ucia, Buyuyo, Limon, 10 De Noviembre, Empresina.
DOI: 10.34725/dvn/ytnej6
title: Western Amazon Household Baseline

description: This study consists of sex-disaggregated data and other related materials generated as part of the Sentinel Landscapes Network household survey baseline in Western Amazon sentinel site in Peru and Bolivia. A total of 677 households were surveyed in September to December 2014 and January to February 2015 from 30 villages namely: Fitzcarrald, San Bernardo, Las Mercedes, Victor Raul Haya Del La Torre, Los Cedros, Tahuantinsuyo, Monte Sinai, Los Manantiales, La Torre, Baltimore, Comunidad Nativa Sinchi Roca, Caserio Bajo Shiringal, Caserio Nuevo Huanuco, Caserio Nueva Bellavistal, Caserio Nuevo Ucayali, Centro Poblado San Juan Bautista, Caserio Alto Shiringal, Caserio Villa El Salvador, Caserio Nuevo Horizonte, Caserio Buenos Aires, Soberania, El Chorro, Espiritu, Petronila, Holanda, Ucia, Buyuyo, Limon, 10 De Noviembre, Empresina. The data consists of information on household demographics, migration, education, asset ownership, income sources, household food security, progress out of poverty, crop production and sales, livestock products, participation in credit markets, social networks, and natural resource use. In compliance with the CGIAR protocol on collecting sex-disaggregated data, approximately 50% of the respondents interviewed were women. Before downloading any of the files, particularly the data files, please download and read the ’Sentinel Landscapes Network Disclaimer and Terms of Use’ file.
DOI: 10.34725/dvn/zng4ou
title: Borneo - Sumatra Village baseline

description: Data that was collected at the village FGDs for Borneo-Sumatra site
DOI: 10.7910/dvn/2ke1xf/3sgpqz
title: replication final.do

description: Code to replicate results
DOI: 10.7910/dvn/2ke1xf/fbvklx
title: ypss_final.tab

description: Replication data for YPSS results
DOI: 10.7910/dvn/2ke1xf/gcflhe
title: hls_final.tab

description: Replication data for HLS results
DOI: 10.7910/dvn/2ke1xf/srki7a
title: codebook.tab

description: Codebook describing variables in the analyses
DOI: 10.34725/dvn/b1jnb3
title: Nicaragua-Honduras Calculated Household Indicators

description: Calculated household indicators for the Nicaragua-Honduras sentinel landscape.
DOI: 10.34725/dvn/cahzhj
title: Mau Forest Village Level Baseline

description: This study consists of village level baseline data and other related materials generated as part of the ‘Sentinel Landscapes’ initiative. The village level baseline data was collected using four survey protocols designed by the International Forest Resources and Institutions (IFRI). The data collected is used to understand the relationship between communities, local governance and forests. Four IFRI protocols were used for this purpose: (i) Forest Form (ii) Settlement Form (iii) Association Form and (iv) Product Form. The instruments facilitate the collection of political and institutional data at communal level for those communities that use those forests. A total of 10 villages were surveyed between August and September months of 2015 namely: Kapkeronjo, Kimugul, Nyoigeno North, Kaboisio, Kiptenden, Mongokwo A, Kapcheptuenik, Kapsinendet, Kimuita, Kondamet.
DOI: 10.34725/dvn/k1fsfl
title: Nile-Congo SL Calculated Household Indicators

description: Calculated household indicators for the Nile-Congo sentinel landscape
DOI: 10.34725/dvn/utj7ql
title: Borneo-Sumatra SL Calculated Household Indicators

description: Calculated household indicators for the Borneo-Sumatra sentinel landscape
DOI: 10.34725/dvn/z1re7d
title: Mekong Calculated Household Indicators

description: Calculated household indicators for the Mekong sentinel landscape
DOI: 10.5519/qd.iwg63595
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4311 records)
DOI: 10.7910/dvn/2ke1xf/rgxtkv
title: nlsy_final.tab

description: Replication data for NLSY results
DOI: 10.3886/e111301
title: Understanding the Relationship Between Parental Education and STEM Course Taking Through Identity-Based and Expectancy-Value Theories of Motivation

description: These files include data access information and analysis scripts.<br><br>The abstract is below:<br><br>"High school students from lower–socioeconomic status (SES) backgrounds are less likely to enroll in advanced mathematics and science courses compared to students from higher-SES backgrounds. The current longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the SES and mathematics and science course-taking relationship. This was done by gathering reports from students and their parents about their expectations, values, and future identities for science, technology, engineering, and mathematics (STEM) topics beginning in middle school through age 20. Results showed that parental education predicted mathematics and science course taking in high school and college, and this relationship was partially mediated by students’ and parents’ future identity and motivational beliefs concerning mathematics and science. These findings suggest that psychological interventions may be useful for reducing social class gaps in STEM course taking, which has critical implications for the types of opportunities and careers available to students."
DOI: 10.3886/e111301v1
title: Understanding the Relationship Between Parental Education and STEM Course Taking Through Identity-Based and Expectancy-Value Theories of Motivation

description: These files include data access information and analysis scripts.<br><br>The abstract is below:<br><br>"High school students from lower–socioeconomic status (SES) backgrounds are less likely to enroll in advanced mathematics and science courses compared to students from higher-SES backgrounds. The current longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the SES and mathematics and science course-taking relationship. This was done by gathering reports from students and their parents about their expectations, values, and future identities for science, technology, engineering, and mathematics (STEM) topics beginning in middle school through age 20. Results showed that parental education predicted mathematics and science course taking in high school and college, and this relationship was partially mediated by students’ and parents’ future identity and motivational beliefs concerning mathematics and science. These findings suggest that psychological interventions may be useful for reducing social class gaps in STEM course taking, which has critical implications for the types of opportunities and careers available to students."
DOI: 10.21227/yrb7-hp33
title: turbine

description: SImulation results
DOI: 10.21227/zgq3-8n18
title: turbine

description: SImulation results
DOI: 10.5063/f1gf0rt4
title: Recent pace of change in human impact on the world's ocean: Cumulative impacts

description: These are the Cumulative Impact data for publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). The goal of this project was to describe the patterns and pace of change in cumulative impact on ocean ecosystems due to expanding and increasing intensity of human activities. We combined high resolution, annual data on the intensity of 14 human stressors and their impact on 21 marine ecosystems over 11 years (2003-2013). To determine average annual change in cumulative impacts, we applied a linear regression model to each raster cell. These data include: Cumulative impacts rasters for 2003 to 2013. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. Average annual change in cumulative impact raster from 2003 to 2013 (i.e., trend). This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Ecosystem rasters describing the location (1 if present, otherwise NA) of 21 global marine ecosystems. These rasters are the same as used in previous years, with the exception of seaice. The seaice raster was created using a script located in the 'habitats' folder of the 'impact_acceleration' Github repository. A vulnerability matrix describing the vulnerability of each ecosystem to each stressor, with values ranging from 0-4. The impact_acceleration-1.0.zip GitHub repository with the code used to generate, analyze, and visualize data. Data for the individual 14 stressors comprising the cumulative impact are provided in other KNB repositories.
DOI: 10.5063/f1377727
title: Recent pace of change in human impact on the world's ocean: Sea level rise

description: These are the stressor and impact data for sea level rise (SLR) for the publication: 'Recent pace of change in human impact on the world's ocean' (Halpern et al. 2019). The sea level rise stressor describes the magnitude of increasing sea level due to increasing atmospheric CO2 levels from human influences. We describe the stressor intensity of increasing SLR and the corresponding impact on 21 marine ecosystems over 11 years (2003-2013). To determine annual change in impact, we applied a linear regression model to each raster cell. Code used in analyzing these data is available as a zipped GitHub repository, impact_acceleration-1.0.zip, in this dataset's parent (CITATION HERE). These data include the following: Raw stressor intensity rasters for 2003 to 2013. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Rescaled stressor intensity rasters for 2003 to 2013. Raw stressor intensities are rescaled to values between 0 and 1, using either known or estimated ecosystem thresholds or upper quantile values from the distribution of global stressor intensity values across years. These rasters are created using scripts located in the 'stressors' folder of the 'impact_acceleration' Github repository. Impact rasters for 2003 to 2013 which describe the impact of the stressor based on the vulnerability of 21 marine ecosystems to the stressor. The impact of the stressor is estimated by multiplying the stressor's intensity by the corresponding ecosystem vulnerability where the ecosystem occurs. The average impact of each stressor, across all ecosystems, is estimated by summing the stressor-by-ecosystem vulnerability combinations and dividing by the number of ecosystems within each cell. These rasters are created using scripts located in the 'impacts' folder of the 'impact_acceleration' Github repository. A trend raster describing the average annual change in impact from 2003 to 2013. This raster is created using scripts located in the 'trend' folder of the 'impact_acceleration' Github repository. Files describing the cumulative impacts and additional stressors are provided in other KNB datasets.