cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6691803
title: Dataset for the Real/Bogus classifier in the Tomo-e Gozen transient survey

description: This is a subset of the dataset used in the following paper:<br> Ichiro Takahashi, Ryo Hamasaki, Naonori Ueda, Masaomi Tanaka, Nozomu Tominaga, Shigeyuki Sako, Ryou Ohsawa, Naoki Yoshida, Deep-learning real/bogus classification for the Tomo-e Gozen transient survey, Publications of the Astronomical Society of Japan, 2022;, psac047, https://doi.org/10.1093/pasj/psac047 This dataset is available for training and testing the Real/Bogus classifier that classifies real transient objects and false detections in the Tomo-e Gozen transient survey. The source code for training is available at https://github.com/ichiro-takahashi/tomoe-realbogus. The dataset consists of images (npy) and meta data (csv). Each sample of the image data includes a set of three images: reference image, observed new image, and subtracted image. Each of them is a cutout image around the transient candidate (29×29 pixels). <br> The training data are divided into the following four parts, all of which must be unzipped into the same directory. tomoerb_train_Q1.tar.gz tomoerb_train_Q2.tar.gz tomoerb_train_Q3.tar.gz tomoerb_train_Q4.tar.gz The unzipped data are separated according to the detector ID of the Tomo-e Gozen camera (111-444). The meta data contain the following labels: rand_artificial_real: Real galx_artificial_real: Real artifact: Bogus The test data are separated into real objects and bogus objects, and the meta data contain the detector ID. The number of samples in the training and test data are as follows: Training data: Real: 1224710 Bogus: 2031132 Test data: Real: 292 Bogus: 255711 Acknowledgement: This work has been supported by Japan Science and Technology Agency (JST) AIP Acceleration Research Grant Number JP20317829 and the Japan Society for the Promotion of Science (JSPS) KAKENHI grants 21H04491, 18H05223, and 17H06363. This work is supported in part by the Optical and Near-Infrared Astronomy Inter-University Cooperation Program. The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation Grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation.
DOI: 10.15468/8belr7
title: BID-AF2015-0004-NAC Liste des espèces végétales menacées au Togo

description: Actuellement le couvert forestier productif total du Togo est d’environ 386 000 ha soit un taux de 6,8% de la superficie nationale. Malgré cette faible couverture forestière, le taux annuel de la déforestation est de 4,5% soit l’un des plus forts taux de déforestation au monde. Les principales causes de cette dégradation sont l’expansion agricole, l’exploitation forestière, les feux de végétation et l’approvisionnement en bois-énergie. Evidemment toutes ces activités humaines sont amplifiées par la croissance démographique galopante. Cette régression des surfaces forestières, avec leurs multiples biens et services, marginalise le Togo par rapport aux besoins nationaux et à la moyenne internationale recommandée par la FAO qui est de 30% en termes de couverture forestière. Ceci constitue un frein au développement et à la sécurité alimentaire. Le rôle de la forêt dans notre société n’est plus à démontrer malgré les faibles potentialités dont dispose notre pays. La forêt contribue de façon substantielle à l’économie nationale et familiale ainsi qu’à la lutte contre la pauvreté dans toutes ses formes, aussi bien en milieu rural qu’urbain. Malheureusement, les modes d’exploitation et de gestion actuels de la forêt créent un déphasage important entre le rythme de dégradation et celui de reboisement. Cette situation pose déjà de graves problèmes environnementaux qui affectent le sol, les cours d’eau, la biodiversité et le climat de façon générale rendant hypothétique le développement durable dans lequel notre pays s’est engagé. Certes, il existe une pléthore de politiques, stratégies, plans, programmes en relation avec le secteur forestier mais à travers la présente politique forestière, le Gouvernement voudrait mettre un accent particulier sur la mise en place d’un cadre stratégique spécifique de gestion des ressources forestières pour faire face aux nombreux défis aggravés ces dernières années par les changements climatiques. Le présent document, de politique forestière, marque ainsi un nouveau départ, une prise de conscience et un engagement du Gouvernement à inverser la tendance afin d’atteindre 30% de couverture forestière à l’horizon 2050 tout en améliorant la gouvernance locale des ressources forestières. La Politique Forestière nationale, qui va orienter nos actions pour les 25 ans à venir, affiche clairement ses objectifs qui sont, entre autres, l’amélioration des cadres institutionnel et juridique du secteur forestier ; la promotion d’une production forestière soutenue ; la restauration des forêts naturelles dégradées et la conservation de la biodiversité ; le développement de nouveaux partenariats forestiers ; le développement de la recherche forestière… Ce sont là autant de défis que le gouvernement du Togo entend relever ensemble avec les collectivités locales, le secteur privé et la société civile, pour le développement social et économique de notre chère patrie. M. Kossivi AYIKOE Ministre de l’Environnement et des Ressources Forestières
DOI: 10.6084/m9.figshare.20146637
title: Raw_dataset_Sylvia_Dobbs_leaky_gut.zip

description: 1D NMR spectra used for the statistical analysis of fecal extracts samples from patients with Parkinsons' disease.
DOI: 10.6084/m9.figshare.20146877
title: 201027_Aisha_fecal_water_2Ds

description: 2D spectra of pooled samples of fecal extracts from patients with Parkinson Desease used for metabolite identification.
DOI: 10.6084/m9.figshare.14442713
title: A Characterization Study of Merge Conflicts in Java Projects

description: Dataset of three types of merge conflicts.Textual ConflictsBuild ConflictsTest Conflicts<br>
DOI: 10.6084/m9.figshare.14442713.v2
title: A Characterization Study of Merge Conflicts in Java Projects

description: Dataset of three types of merge conflicts.Textual ConflictsBuild ConflictsTest Conflicts<br>
DOI: 10.6084/m9.figshare.14442713.v1
title: Merge Conflicts: Challenges and Opportunities

description: Dataset of three types of merge conflicts.Textual ConflictsBuild ConflictsTest Conflicts<br>
DOI: 10.3886/e124901
title: Data and code for: Dynamic Capital Tax Competition under the Source Principle

description: We explore the short- and long-run implications of tax competition between jurisdictions, where governments can only tax capital at source. We do this in the context of a neoclassical growth model under commitment and capital mobility. We provide a new theoretical perspective on the dynamic capital-tax externalities that emerge in this model. Numerically, we show that the net capital-tax externality is positive in the short run but converges to zero in the long run. We also find that non-cooperative source-based capital taxes are initially positive and slowly decline towards zero. Coordinated capital tax rates are higher than non-cooperative ones in the short run, lower in the medium run, and the same in the long run. This stands in contrast to common beliefs and results from static and two-period models, which have informed policy debates in the European Union and elsewhere.<br><br>
description: EU countries and UK<br><br>.
description: Main data produced by using program source code and calibrating the model on European aggregate data in years 1985 and 1992.
DOI: 10.6084/m9.figshare.20145461.v1
title: SLA_May15_2015

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.20145461
title: SLA_May15_2015

description: cds.climate.copernicus.eu
DOI: 10.5281/zenodo.6726340
title: TopicTracker keywords and MeSH terms resulting from the analysis of papers on autonomy, equity, privacy, proportionality and trust in the context of Covid-19

description: This dataset contains normalized keywords and MeSH terms contained in articles retrieved with 5 separate querioes on Covid-19 and autonomy, equity, privacy, proportionality, trust.
DOI: 10.5281/zenodo.6726339
title: TopicTracker keywords and MeSH terms resulting from the analysis of papers on autonomy, equity, privacy, proportionality and trust in the context of Covid-19

description: This dataset contains normalized keywords and MeSH terms contained in articles retrieved with 5 separate querioes on Covid-19 and autonomy, equity, privacy, proportionality, trust.
DOI: 10.6084/m9.figshare.20146904
title: SLA_Oct15_2015

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.20146904.v1
title: SLA_Oct15_2015

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.19500512.v2
title: patches and local annotations, slide 061, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500512.v1
title: patches and local annotations, slide 061, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500506.v1
title: patches and local annotations, slide 175, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500497.v2
title: patches and local annotations, slide 162, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.20146910
title: SLA_Oct15_2018

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.20146910.v1
title: SLA_Oct15_2018

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.19500497.v1
title: patches and local annotations, slide 162, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500494.v2
title: patches and local annotations, slide 059, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500494.v1
title: patches and local annotations, slide 059, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500482.v2
title: patches and local annotations, slide 171, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500482.v1
title: patches and local annotations, slide 171, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500479.v2
title: patches and local annotations, slide 095, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500479.v1
title: patches and local annotations, slide 095, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500314.v2
title: patches and local annotations, slide 090, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500314.v1
title: patches and local annotations, slide 090, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500308.v2
title: patches and local annotations, slide 053, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500308.v1
title: patches and local annotations, slide 053, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.20146916.v1
title: SLA_May15_2018

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.20146916
title: SLA_May15_2018

description: cds.climate.copernicus.eu
DOI: 10.6084/m9.figshare.19500137
title: patches and local annotations, slide 040, zoom 124x124 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500134
title: patches and local annotations, slide 147, zoom 248x248 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.19500128
title: patches and local annotations, slide 093, zoom 248x248 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.5281/zenodo.6719789
title: Conjugated polymers for microwave applications: untethered sensing platforms and multifunctional devices

description: Raw data for the manuscript "Conjugated polymers for microwave applications: untethered sensing platforms and multifunctional devices". In reference to the manuscript, the dataset is organized in three subsets, each related to one of the Figures in the main texts of the article: The return losses (S11 spectra) from the reconfigurable microwave resonators, in the form of .s1p files, realized with different tuning conjugated polymers; The electrochemical and microwave characterization of an enzymatic reaction cell / microwave resonator assembly; The microwave characterization of a amplitude- and frequency-tunable resonator.
DOI: 10.5281/zenodo.6719788
title: Conjugated polymers for microwave applications: untethered sensing platforms and multifunctional devices

description: Raw data for the manuscript "Conjugated polymers for microwave applications: untethered sensing platforms and multifunctional devices". In reference to the manuscript, the dataset is organized in three subsets, each related to one of the Figures in the main texts of the article: The return losses (S11 spectra) from the reconfigurable microwave resonators, in the form of .s1p files, realized with different tuning conjugated polymers; The electrochemical and microwave characterization of an enzymatic reaction cell / microwave resonator assembly; The microwave characterization of a amplitude- and frequency-tunable resonator.
DOI: 10.17026/dans-xuk-ak4y
title: Een archeologisch bureauonderzoek hoek Pijkestraat, Parkweg en Lange Hezelstraat in Nijmegen.

description: Code Pk3. Bureauonderzoek binnen de driehoek Pijkestraat, Parkweg en Lange Hezelstraat.
DOI: 10.6084/m9.figshare.20146844.v1
title: Constructing compact cities: How urban regeneration can enhance growth

description: This dataset includes many indexes of global cities. The variables of congestion level, skyscraper index, whether a city was bombed in WWII (World War II), and global cities’ population are key variables. (1) The congestion level data were collected from TOMTOM company. The congestion level data includes five indexes in 2004 which are “Congestion level”, “Morning peak Congestion level”, “Evening peak Congestion level”, “Highways Congestion level”, “Non-highways Congestion level”, and two indexes in 2020 which are “Time lost per year” and “Congestion level”. (2) The data of skyscraper index is calculated using the data of building height from the Council on Tall Buildings and Urban Habitat, from which we can obtain accurate data on the number of buildings taller than 150 m. With these data, we constructed an index of skyscrapers taller than 150 m in a city. A building receives a score of 1.5 if it is taller than 150 m and shorter than 200 m, 2.0 if it is between 200 m and 300 m, and so on. Then, we summed the scores for skyscrapers in the city as the “skyscraper index” of the city. (3) The data of whether a city was bombed in WWII is dummy variable, if the urban area of a city was bombed in WWII, it is 1, and 0 otherwise. The authors consulted various historical files and determined the value. (4) The data of global cities’ population, as well as the area and density of the city, are on the city-level, and were collected from the website of the cities or countries’ statistics department. These indicators are good measures of the level of congestion, urban spatial structure, instrumental variable (IV) for urban spatial structure, and urban population in global cities, and can be reused in other analysis.
DOI: 10.17909/qkvm-cq92
title: Data Used in Determination of the Low-Mass IMF of Bootes I Ultrafaint Dwarf Galaxy
DOI: 10.3886/e130201
title: Data and Code for: Hours, Occupations, and Gender Differences in Labor Market Outcomes

description: Goldin (2014) offers a narrative in which gender differences in home production responsibilities create gender gaps in labor market outcomes. We carry out a model based quantitative assessment of this narrative and find that empirically reasonable gender differences in home production time account for a significant share of gender gaps in three labor market outcomes: occupational choice, wages, and hours. Our analysis emphasizes two key elements not highlighted by Goldin (2014). One is heterogeneity in comparative advantage. This feature generates selection effects that are crucial for the model to be consistent with the fact that the gender wage gap is uncorrelated with occupational mean hours. Second, we explicitly model multi-member households that make joint decisions about occupational choice and hours of market work. Family interactions are a quantitatively important source of amplification. Gender differences in nonmarket responsibilities can have important aggregate effects on welfare and productivity, similar to those emphasized by Hsieh, Hurst, Jones and Klenow (2019).
description: Individuals aged 22-64 living in the United States.
DOI: 10.3886/e130201v1
title: Data and Code for: Hours, Occupations, and Gender Differences in Labor Market Outcomes

description: Goldin (2014) offers a narrative in which gender differences in home production responsibilities create gender gaps in labor market outcomes. We carry out a model based quantitative assessment of this narrative and find that empirically reasonable gender differences in home production time account for a significant share of gender gaps in three labor market outcomes: occupational choice, wages, and hours. Our analysis emphasizes two key elements not highlighted by Goldin (2014). One is heterogeneity in comparative advantage. This feature generates selection effects that are crucial for the model to be consistent with the fact that the gender wage gap is uncorrelated with occupational mean hours. Second, we explicitly model multi-member households that make joint decisions about occupational choice and hours of market work. Family interactions are a quantitatively important source of amplification. Gender differences in nonmarket responsibilities can have important aggregate effects on welfare and productivity, similar to those emphasized by Hsieh, Hurst, Jones and Klenow (2019).
description: Individuals aged 22-64 living in the United States.
DOI: 10.3886/e132141
title: Data and Code for: The Propagation of Demand Shocks Through Housing Markets

description: Housing demand stimulus produces a multiplier effect by freeing up owners attempting to sell their current home, allowing them to re-enter the market as buyers. Exploiting a shock to first-time home buyer demand caused by a cut in mortgage insurance premiums, we find that homeowners buy their next home sooner when the probability of their current home selling increases. We build and calibrate a search model that explains these findings as a result of homeowners avoiding the cost of owning two homes simultaneously. Simulations demonstrate that stimulus to home buying generates a substantial multiplier effect, particularly in cold markets.<br><br>These files contain the code and data necessary for researchers with access to the requisite confidential and proprietary data sets to replicate the tables and figures in the paper.<br>
description: Single family homes listed for sale in the United States<br>.
DOI: 10.3886/e132141v1
title: Data and Code for: The Propagation of Demand Shocks Through Housing Markets

description: Housing demand stimulus produces a multiplier effect by freeing up owners attempting to sell their current home, allowing them to re-enter the market as buyers. Exploiting a shock to first-time home buyer demand caused by a cut in mortgage insurance premiums, we find that homeowners buy their next home sooner when the probability of their current home selling increases. We build and calibrate a search model that explains these findings as a result of homeowners avoiding the cost of owning two homes simultaneously. Simulations demonstrate that stimulus to home buying generates a substantial multiplier effect, particularly in cold markets.<br><br>These files contain the code and data necessary for researchers with access to the requisite confidential and proprietary data sets to replicate the tables and figures in the paper.<br>
description: Single family homes listed for sale in the United States<br>.