cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/2310022601-fra
title: Statistiques financières sur le camionnage, selon le groupe d'industries, inactif

description: Ce tableau contient 126 séries, avec des données pour les années 2009 - 2010 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons), et sa dernière date de diffusion remonte au 2015-02-06. Ce tableau contient des données telles que décrites par les dimensions suivantes (les combinaisons ne sont pas toutes disponibles): Géographie (1 éléments: Canada ...), Statistiques financières (21 éléments: Total des revenus; Revenus d'exploitation tirés du camionnage; Autres revenus d'exploitation; Total des revenus d'exploitation ...), Groupe d'industries (6 éléments: Camionnage local; Camionnage sur de longues distances; Marchandises générales; camionnage local; Marchandises spécialisées; camionnage local ...).
DOI: 10.25318/2310023101-eng
title:  Trucking revenue distribution by type of movement, by province and territory, inactive

description: This table contains 56 series, with data for years 2009 - 2010 (not all combinations necessarily have data for all years), and was last released on 2015-02-06. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; New Brunswick ...), Type of movement (4 items: Domestic movements within a province or territory; Domestic movements between provinces or territories; International movements into Canada; International movements out of Canada).
DOI: 10.25318/2310023101-fra
title: Distribution des revenus tirés du camionnage selon le type de mouvement, selon les provinces et territoires, inactif

description: Ce tableau contient 56 séries, avec des données pour les années 2009 - 2010 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons), et sa dernière date de diffusion remonte au 2015-02-06. Ce tableau contient des données telles que décrites par les dimensions suivantes (les combinaisons ne sont pas toutes disponibles): Géographie (14 éléments : Canada; Terre-Neuve-et-Labrador; Île-du-Prince-Édouard; Nouveau-Brunswick; ...) , Type de mouvement (4 éléments : Mouvements à l'intérieur d'une province ou d'un territoire; Mouvements entre les provinces ou les territoires; Mouvements internationaux à destination du Canada; Mouvements internationaux en provenance du Canada).
DOI: 10.25678/0002vh
title: Data for: Methods for estimating quantities and qualities (Q&Q) of faecal sludge: field evaluation in Sircilla, India

description: Estimates of accumulated quantities and qualities (Q&Q) of faecal sludge are essential for developing city-wide management plans. However, standardized approaches are lacking, and examples in scientific literature make use of diverse methodologies and parameters, making their comparability and transferability difficult. This study field-tested an approach for estimating Q&Q in Sircilla, India, and compared three methods for measuring accumulated sludge: (1) faecal sludge accumulation rate from in situ measurement with a core sampler; (2) faecal sludge accumulation rate with volume emptied by desludging truck; and (3) sludge blanket accumulation rate with a core sampler. Measurements were taken at households and commercial establishments, samples were analysed for characteristics, and demographic, environmental, and technical data were collected with a questionnaire. The median TS, VS, and COD concentrations for all containments were 26.8, 17.8, and 32.0 g/L, respectively. The median faecal sludge accumulation rate estimated with the core sampler and truck were 53 and 96 L/cap·year, respectively. The median sludge blanket accumulation rate was 17 L/cap·year. Continued data collection in this fashion will lead to a better understanding of what is accumulating in onsite containments at regional levels.
DOI: 10.3886/e119446v70
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5517/ccdc.csd.cc217vpv
title: CCDC 1884387: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Niklas Wolff, Michael Rauch, Moran Feller, Quan-Quan Zhou, Aviel Anaby, Yael Diskin-Posner, Linda J. W. Shimon, Liat Avram, Yehoshoa Ben-David, David Milstein|2021|Chem.-Eur.J.|27|4715|doi:10.1002/chem.202005450
DOI: 10.5517/ccdc.csd.cc21xxyv
title: CCDC 1904638: Experimental Crystal Structure Determination

description: Related Article: You-Quan Zou, Niklas Wolff, Michael Rauch, Moran Feller, Quan-Quan Zhou, Aviel Anaby, Yael Diskin-Posner, Linda J. W. Shimon, Liat Avram, Yehoshoa Ben-David, David Milstein|2021|Chem.-Eur.J.|27|4715|doi:10.1002/chem.202005450
DOI: 10.5281/zenodo.4613594
title: Gemini3D CI

description: CI reference datasets
DOI: 10.6084/m9.figshare.14233205
title: PHPT_DataSet.xlsx

description: Data set contain data of 464 PHPT patients and 148 healthy controls.
DOI: 10.6084/m9.figshare.14233205.v1
title: PHPT_DataSet.xlsx

description: Data set contain data of 464 PHPT patients and 148 healthy controls.
DOI: 10.5281/zenodo.4613858
title: Lonely deaths in Israel during 2020

description: Lonely deaths in Israel during 2020. Data collected from Zaka (https://zaka.org.il/). Data include date, age of deceased and the gender of the deceased.
DOI: 10.5281/zenodo.4613857
title: Lonely deaths in Israel during 2020

description: Lonely deaths in Israel during 2020. Data collected from Zaka (https://zaka.org.il/). Data include date, age of deceased and the gender of the deceased.
DOI: 10.5281/zenodo.4574367
title: The role of mass transfer and common envelope evolution in the formation of merging binary black holes

description: Data products and input files necessary to reproduce the results of the paper "The role of mass transfer and common envelope evolution in the formation of merging binary black holes". Models were computed with version 15140 of MESA and version x86_64-linux-20.12.1 of the MESA SDK. For details refer to the README file included.
DOI: 10.5281/zenodo.4106318
title: The role of mass transfer and common envelope evolution in the formation of merging binary black holes

description: Data products and input files necessary to reproduce the results of the paper "The role of mass transfer and common envelope evolution in the formation of merging binary black holes". Models were computed with version 15140 of MESA and version x86_64-linux-20.12.1 of the MESA SDK. For details refer to the README file included.
DOI: 10.6084/m9.figshare.13718131
title: Jdaviz IFU test files

description: Simulated IRIS field for the spectrometer and the same data injected into a Manga IFU data file which is given as an example for Cubeviz and is useful to have a file which has the right structure.
DOI: 10.21227/tc0f-ss80
title: Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity forecasting

description: COVID-19 causes issues in energy demand profile forecasting. Day-ahead energy forecasting systems struggle to provide accurate demand predictions. Decomposition-Residuals Deep Neural Networks (DR-DNN) is a two-layer hybrid architecture with: a decomposition and a nonlinear layer. Based on statistical tests, the decomposition layer applies robust signal decomposition and low-order system identification of input data streams into: trend, seasonal and residuals signals. Utilizing calendar information, temporal signals are added: sinusoidal day/night cycles, weekend/weekday, etc. The nonlinear layer can learn unknown nonlinear patterns using typical DNN models like Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). DR-DNN outperformed baseline, linear, and plain DNN models on next-day electricity forecasts within the COVID-19 era (September 2020-January 2021).
DOI: 10.6084/m9.figshare.13718131.v3
title: Jdaviz IFU test files

description: Simulated IRIS field for the spectrometer and the same data injected into a Manga IFU data file which is given as an example for Cubeviz and is useful to have a file which has the right structure.
DOI: 10.6084/m9.figshare.13718131.v2
title: Jdaviz IFU test files

description: Simulated IRIS field for the spectrometer and the same data injected into a Manga IFU data file which is given as an example for Cubeviz and is useful to have a file which has the right structure.
DOI: 10.6084/m9.figshare.14226572
title: Data: erp and dip files from GO/NoGO task in children with ADHD and TDC

description: Data from 31 subjects (15 ADHD and 16 TDC) recorded with ASA EEG/ERP System (ANT Software, the Netherlands) with 128 Ag/AgCI sintered ring electrodes embedded in a active-shield cap (10-20 system) and shielded co-axial cables. Off-line data treatment with EEGlab software (Delorme & Makeig, 2004) and in house MATLAB-based tools (Cheron et al. 2014). <br><br>More details are available in the related publication: <b>Zarka D, Cebolla A-M, Cevallos C, Palmero-Soler E, Dan B, Cheron G.</b> Caudate and cerebellar involvement in altered P2 and P3 components of GO/NoGO evoked potentials in children with attention-deficit/hyperactivity disorder. <i>Eur J Neurosci. 2021 In press</i>.
DOI: 10.5281/zenodo.4613964
title: Case study result data set for Energy Economics (submitted) article "On Wholesale Electricity Prices and Market Values in a Carbon-Neutral Energy System"

description: The data set contains wholesale power price time series data for Germany and France focussing on price setting effects in a long term low carbon European energy system context (scenario year 2050) generated with the model SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. The single time series are focussing on the price setting effects of different flexible technologies including both traditional and new market participants due to cross-sectoral integration. Unit: Euro/Megawatthour <strong>Abbreviations:</strong> BEV - Battery Electric Vehicles GER - Germany FRA - France OCGT - Open Cycle Gas Turbine PHEV - Plug-In Hybrid Vehicles RES - Renewable energy sources (here: wind and solar power) th. - thermal
DOI: 10.7303/syn25257534
title: Integrative Metabolomics-Genomics Approach Reveals Key Metabolic Pathways and Regulators of Alzheimer’s Disease
DOI: 10.15468/rcwq5z
title: Microtus quasiater (Rodentia: Cricetidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Torres-Flores, José Williams, López-Wilchis, Ricardo (2018): Microtus quasiater (Rodentia: Cricetidae). Mammalian Species 50 (961): 59-66, DOI: 10.1093/mspecies/sey009, URL: http://dx.doi.org/10.1093/mspecies/sey009
DOI: 10.6084/m9.figshare.14233250
title: Spillovers in the Global Corporate Bond Markets_dataset.xlsx

description: Daily corporate bond returns for Euroarea, US and emerging markets
DOI: 10.6084/m9.figshare.14233250.v1
title: Spillovers in the Global Corporate Bond Markets_dataset.xlsx

description: Daily corporate bond returns for Euroarea, US and emerging markets
DOI: 10.6084/m9.figshare.14220176.v2
title: Dataset of Recipe for a Saturn-like Dynamo

description: This repository contains data for reproducing the figures of Recipe for a Saturn-like Dynamo
DOI: 10.6084/m9.figshare.14220176
title: Dataset of Recipe for a Saturn-like Dynamo

description: This repository contains data for reproducing the figures of Recipe for a Saturn-like Dynamo
DOI: 10.6084/m9.figshare.14220176.v1
title: Dataset of Recipe for a Saturn-like Dynamo

description: This repository contains data for reproducing the figures of Recipe for a Saturn-like Dynamo
DOI: 10.6084/m9.figshare.14233235
title: Confocal Images

description: Confocal images of Xenopus zinc spark. Fertilization data were used for Figure 1A and Video 1 and Ionomycin data were used for Figure 1B and Video 2
DOI: 10.6084/m9.figshare.14233235.v1
title: Confocal Images

description: Confocal images of Xenopus zinc spark. Fertilization data were used for Figure 1A and Video 1 and Ionomycin data were used for Figure 1B and Video 2
DOI: 10.5517/ccdc.csd.cc25c3sg
title: CCDC 2006685: Experimental Crystal Structure Determination

description: Related Article: Virayu Suthiphasilp, Tharakorn Maneerat, Raymond J. Andersen, Brian O. Patrick, Stephen G. Pyne, Surat Laphookhieo|2021|Heliyon|7|e06180|doi:10.1016/j.heliyon.2021.e06180
DOI: 10.5517/ccdc.csd.cc25c3th
title: CCDC 2006686: Experimental Crystal Structure Determination

description: Related Article: Virayu Suthiphasilp, Tharakorn Maneerat, Raymond J. Andersen, Brian O. Patrick, Stephen G. Pyne, Surat Laphookhieo|2021|Heliyon|7|e06180|doi:10.1016/j.heliyon.2021.e06180
DOI: 10.5517/ccdc.csd.cc26kc38
title: CCDC 2042469: Experimental Crystal Structure Determination

description: Related Article: Rongrong Du, Luhua Liu, Senmiao Xu|2021|Angew.Chem.,Int.Ed.|60|5843|doi:10.1002/anie.202016009
DOI: 10.5517/ccdc.csd.cc26lnxd
title: CCDC 2043734: Experimental Crystal Structure Determination

description: Related Article: Shobhan Mondal, Tobias Pinkert, Constantin G. Daniliuc, Frank Glorius|2021|Angew.Chem.,Int.Ed.|60|5688|doi:10.1002/anie.202015249
DOI: 10.5517/ccdc.csd.cc26lxg6
title: CCDC 2043968: Experimental Crystal Structure Determination

description: Related Article: Tobias Wagener, Lukas Lückemeier, Constantin G. Daniliuc, Frank Glorius|2021|Angew.Chem.,Int.Ed.|60|6425|doi:10.1002/anie.202016771
DOI: 10.5517/ccdc.csd.cc26lxh7
title: CCDC 2043969: Experimental Crystal Structure Determination

description: Related Article: Tobias Wagener, Lukas Lückemeier, Constantin G. Daniliuc, Frank Glorius|2021|Angew.Chem.,Int.Ed.|60|6425|doi:10.1002/anie.202016771
DOI: 10.25318/1810006601-eng
title: Telecommunications services price indexes, quarterly, inactive

description: Telecommunications services price indexes (TSPI) by type of service. Data are available from the first quarter of 2014. The table presents data for the most recent reference period and the last four periods. The base period for the index is 2016=100.
DOI: 10.25318/1810006601-fra
title: Indices des prix des services de télécommunications, trimestrielle, inactif

description: Indices des prix des services de télécommunications (IPST) selon le type de service. Les données sont disponibles à partir du premier trimestre de 2014. Le tableau présente les données de la période de référence la plus récente et des quatre dernières périodes. La période de base de l'indice est 2016=100.
DOI: 10.5281/zenodo.4429258
title: Dataset for the paper "Googling for Software Development: What Developers Search For and What They Find?", MSR 2021.

description: This is the dataset for the paper "Googling for Software Development: What Developers Search For and What They Find?" submitted to the Mining Software Repositories Conference (MSR), 2021. This dataset has three data: <strong>Search queries</strong>: contains the search queries to compute RQ1, RQ2, RQ3, and RQ4. <strong>Search results RQ5</strong>: contains the search results to compute RQ5 (files starting with "search-results-rq5"). <strong>Search results RQ6</strong>: contains the search results to compute RQ6 (files starting with "search-results-rq6"). The dataset "Search results RQ6" has 8 columns: same_top10: whether the top 10 links are exactly the same (0 or 1) same_top1: whether the top 1 links are exactly the same (0 or 1) inter_ratio_top5: the intersection of links in the top 5 inter_ratio_top10: the intersection of links in the top 10 original_query: the original queries original_search_resuls: the top 10 links returned for the original queries modified_query: the modified queries modified_search_resuls: the top 10 links returned for the modified queries Example (word swap, context) Original query: "java string replaceall case insensitive" Modified query: "string replaceall case insensitive java" Single row example: "0","1.0","0.8","0.9","java string replaceall case insensitive","['https://stackoverflow.com/questions/5054995/how-to-replace-case-insensitive-literal-substrings-in-java', ...]","string replaceall case insensitive java","['https://stackoverflow.com/questions/5054995/how-to-replace-case-insensitive-literal-substrings-in-java', ...]"
DOI: 10.5281/zenodo.4429257
title: Dataset for the paper "Googling for Software Development: What Developers Search For and What They Find?", MSR 2021.

description: This is the dataset for the paper "Googling for Software Development: What Developers Search For and What They Find?" submitted to the Mining Software Repositories Conference (MSR), 2021. This dataset has three data: <strong>Search queries</strong>: contains the search queries to compute RQ1, RQ2, RQ3, and RQ4. <strong>Search results RQ5</strong>: contains the search results to compute RQ5 (files starting with "search-results-rq5"). <strong>Search results RQ6</strong>: contains the search results to compute RQ6 (files starting with "search-results-rq6"). The dataset "Search results RQ6" has 8 columns: same_top10: whether the top 10 links are exactly the same (0 or 1) same_top1: whether the top 1 links are exactly the same (0 or 1) inter_ratio_top5: the intersection of links in the top 5 inter_ratio_top10: the intersection of links in the top 10 original_query: the original queries original_search_resuls: the top 10 links returned for the original queries modified_query: the modified queries modified_search_resuls: the top 10 links returned for the modified queries Example (word swap, context) Original query: "java string replaceall case insensitive" Modified query: "string replaceall case insensitive java" Single row example: "0","1.0","0.8","0.9","java string replaceall case insensitive","['https://stackoverflow.com/questions/5054995/how-to-replace-case-insensitive-literal-substrings-in-java', ...]","string replaceall case insensitive java","['https://stackoverflow.com/questions/5054995/how-to-replace-case-insensitive-literal-substrings-in-java', ...]"
DOI: 10.5281/zenodo.4425671
title: Dataset for the paper "What Code Is Deliberately Excluded from Test Coverage and Why?", MSR 2021.

description: This is the dataset for the paper "What Code Is Deliberately Excluded from Test Coverage and Why?" submitted to the Mining Software Repositories Conference (MSR), 2021. This dataset contains the information to compute RQ1, RQ2, RQ3, and RQ4.
DOI: 10.25810/ns7n-vh24.14
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2021 - February 2021

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/0d1e0aaba08d2227e4b92a0b82e1dac7
title: TeRaCON Leaf Gas Exchange:E141 - BioCON: Biodiversity, CO2, and Nitrogen

description: BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affect each other, and what emergent qualities may arise when systems are exposed to these changes simultaneously. BioCON seeks to address these issues with this multi-year study at Cedar Creek Ecosytem Science Preserve.
DOI: 10.6084/m9.figshare.14233448
title: Picturing Donations Dataset

description: About this dataset: This dataset was collected at Zoomarine Algarve in Portugal between 6/28/2019 and 9/26/2019 under the supervision of João Neves. We examined the role of images in conservation fundraising through a public experiment. We placed a donation box and a large informational poster in the lounge of the Dolphin Emotions program (a program of Zoomarine), which is open to participants and their families. The text on the poster, which solicited donations for the Marine Megafauna Foundation (a conservation partner), was held constant, while four different image conditions were tested: dolphins, ocean wildlife, children, and people staring out from the poster (i.e., “watching eyes”). The experiment ran for a total of 91 days between June 28 and September 26, 2019, although data were only collected for 87 days due to park closures on four days. Each poster condition was displayed for three days at a time and was on display for at least seven three-day periods during the experiment. Poster conditions were randomly assigned to different three-day periods over the course of the experiment (see Column A). Data were collected on the number of visitors who passed by the poster and the amount of donations placed in the box over each 3-day period (see Column B and Column C).