cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dmjsc
title: CCDC 2223313: Experimental Crystal Structure Determination

description: Related Article: Anna Giorgia Nobile, David Trummer, Zachariah J. Berkson, Michael Wörle, Christophe Copéret, Pierre-Adrien Payard|2023|Chemical Science|14|2361|doi:10.1039/D2SC06827C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9u43qeo
title: Estuarine vegetated wetland change scenarios for estuaries in the conterminous United States, 1996–2019

description: This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture. An estuarine vegetated wetland change scenario was assigned to each region depending on different combinations of positive and negative net change in some of these classes which describes how land building, transgression, or tidal restoration compare to estuarine vegetated wetland loss. This dataset also includes relative statistics of change compared to estuarine vegetated wetland and estuary area.
DOI: 10.6084/m9.figshare.24562678
title: Data for: "Enrichment Sessions as a Complementary Therapy for Hospitalized Cats: Implications for Stress Reduction and Sporotrichosis’ Lesion Recovery"

description: Published in the journal Applied Animal Behaviour Science in November 2023.Available at: https://doi.org/10.1016/j.applanim.2023.106114
DOI: 10.6084/m9.figshare.24562678.v1
title: Data for: "Enrichment Sessions as a Complementary Therapy for Hospitalized Cats: Implications for Stress Reduction and Sporotrichosis’ Lesion Recovery"

description: Published in the journal Applied Animal Behaviour Science in November 2023.Available at: https://doi.org/10.1016/j.applanim.2023.106114
DOI: 10.5281/zenodo.8279582
title: Exploring Large-Scale Entanglement in Quantum Simulation

description: Here we provide data for the manuscript " Exploring Large-Scale Entanglement in Quantum Simulation " with arXiv id "arXiv:2306.00057". The data set contains both raw and analyzed data saved as ".mat files" Please see the uploaded readme file to understand the data structure. The peer-reviewed article will appear in the future. Please check the published article for recent figures. 
description: This project has received funding in parts from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101113690 (PASQuanS2.1), US Air Force Office of Scientific Research (AFOSR) via IOE Grant No. FA9550-19-1-7044 LASCEM, the Austrian Research Promotion Agency (FFG) contract 884471, the Simons Collaboration on
Ultra-Quantum Matter, which is a grant from the Simons Foundation (651440, PZ), Austrian Science Fund through the SFB BeyondC (F7110), the Institut für Quanteninformation GmbH and National Science Foundation under
Grant No. NSF PHY-1748958.
DOI: 10.5281/zenodo.8279583
title: Exploring Large-Scale Entanglement in Quantum Simulation

description: Here we provide data for the manuscript " Exploring Large-Scale Entanglement in Quantum Simulation " with arXiv id "arXiv:2306.00057". The data set contains both raw and analyzed data saved as ".mat files" Please see the uploaded readme file to understand the data structure. The peer-reviewed article will appear in the future. Please check the published article for recent figures. 
description: This project has received funding in parts from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101113690 (PASQuanS2.1), US Air Force Office of Scientific Research (AFOSR) via IOE Grant No. FA9550-19-1-7044 LASCEM, the Austrian Research Promotion Agency (FFG) contract 884471, the Simons Collaboration on
Ultra-Quantum Matter, which is a grant from the Simons Foundation (651440, PZ), Austrian Science Fund through the SFB BeyondC (F7110), the Institut für Quanteninformation GmbH and National Science Foundation under
Grant No. NSF PHY-1748958.
DOI: 10.5281/zenodo.8411055
title: Dataset for Gidden et.al. 2023 AR6 LULUCF Reanalysis

description: Dataset for Gidden et.al. 2023 AR6 LULUCF Reanalysis.
DOI: 10.6084/m9.figshare.24121346
title: On Exact Computation of Tukey Depth Central Regions

description: The Tukey (or halfspace) depth extends nonparametric methods toward multivariate data. The multivariate analogues of the quantiles are the central regions of the Tukey depth, defined as sets of points in the <i>d</i>-dimensional space whose Tukey depth exceeds given thresholds <i>k</i>. We address the problem of fast and exact computation of those central regions. First, we analyze an efficient Algorithm (A) from Liu, Mosler, and Mozharovskyi, and prove that it yields exact results in dimension <i>d</i> = 2, or for a low threshold <i>k</i> in arbitrary dimension. We provide examples where Algorithm (A) fails to recover the exact Tukey depth region for <i>d</i> &gt; 2, and propose a modification that is guaranteed to be exact. We express the problem of computing the exact central region in its dual formulation, and use that viewpoint to demonstrate that further substantial improvements to our algorithm are unlikely. An efficient C++ implementation of our exact algorithm is freely available in the R package TukeyRegion.
DOI: 10.6084/m9.figshare.24121346.v2
title: On Exact Computation of Tukey Depth Central Regions

description: The Tukey (or halfspace) depth extends nonparametric methods toward multivariate data. The multivariate analogues of the quantiles are the central regions of the Tukey depth, defined as sets of points in the <i>d</i>-dimensional space whose Tukey depth exceeds given thresholds <i>k</i>. We address the problem of fast and exact computation of those central regions. First, we analyze an efficient Algorithm (A) from Liu, Mosler, and Mozharovskyi, and prove that it yields exact results in dimension <i>d</i> = 2, or for a low threshold <i>k</i> in arbitrary dimension. We provide examples where Algorithm (A) fails to recover the exact Tukey depth region for <i>d</i> &gt; 2, and propose a modification that is guaranteed to be exact. We express the problem of computing the exact central region in its dual formulation, and use that viewpoint to demonstrate that further substantial improvements to our algorithm are unlikely. An efficient C++ implementation of our exact algorithm is freely available in the R package TukeyRegion.
DOI: 10.6084/m9.figshare.24121346.v1
title: On exact computation of Tukey depth central regions

description: The Tukey (or halfspace) depth extends nonparametric methods toward multivariate data. The multivariate analogues of the quantiles are the central regions of the Tukey depth, defined as sets of points in the <i>d</i>-dimensional space whose Tukey depth exceeds given thresholds <i>k</i>. We address the problem of fast and exact computation of those central regions. First, we analyse an efficient Algorithm (A) from Liu et al. (2019), and prove that it yields exact results in dimension <i>d</i> = 2, or for a low threshold <i>k</i> in arbitrary dimension. We provide examples where Algorithm (A) fails to recover the exact Tukey depth region for <i>d</i> &gt; 2, and propose a modification that is guaranteed to be exact. We express the problem of computing the exact central region in its dual formulation, and use that viewpoint to demonstrate that further substantial improvements to our algorithm are unlikely. An efficient C++ implementation of our exact algorithm is freely available in the R package TukeyRegion.
DOI: 10.48366/r652303
title: Historical illustrations as a basis of VR technolofy

description: What historical evidences can be used in Building Historic Modeling to create a VR technology.
DOI: 10.26093/cds/vizier.36680073
title: Search of strong lens systems in DES

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Search of strong lens systems in the Dark Energy Survey using convolutional neural networks.' (bibcode: 2022A&A...668A..73R)
DOI: 10.26186/149071
title: AHO Reference Surfaces Banks Strait 0.5m 2023 (20230009R)

description: The Banks Strait Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) on 17 Dec 2021. This surface was created from a contracted national reference survey within Banks Strait to Cape Barren, TAS, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using Kongsberg EM 2040 MkII and Kongsberg EM 2040P, and processed using QPS Qimera. A grid in 0.5m resolution is provided for the surveyed site within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.6084/m9.figshare.24602346
title: Similarity of NTMs and its impact on import unit values

description: Non-tariff measures (NTMs) may lead to a higher regulatory burden on firms that are required to comply with them. The increase in similarity of NTMs applied on their respective imports by the trading partners may reduce this burden as exporting firms are required to comply with them regardless of whether they sell in the domestic market or export to markets with similar NTMs. I determine the influence of increasing similarity of NTMs applied by the US and its trading partners on the unit value of imports at the product-level.
DOI: 10.15785/sbgrid/955
title: X-Ray Diffraction data from Protein, source of 8DYE structure

description: Crystal structure of human complex II assembly intermediate SDHA-SDHAF2
DOI: 10.15785/sbgrid/954
title: X-Ray Diffraction data from Protein, source of 8DYD structure

description: Respiratory Complex II assembly intermediate SDHA-SDHAF2-SDHAF4
DOI: 10.15785/sbgrid/1060
title: X-Ray Diffraction data from Protein Tyrosine Phosphatase 1B, source of 8U1E structure

description: Apo WT Protein tyrosine phosphatase 1B crystal shot at cryogenic temp at the NSLS-II NYX beamline
DOI: 10.6084/m9.figshare.24201043
title: Flexible Variational Bayes Based on a Copula of a Mixture

description: Variational Bayes methods approximate the posterior density by a family of tractable distributions whose parameters are estimated by optimization. Variational approximation is useful when exact inference is intractable or very costly. Our article develops a flexible variational approximation based on a copula of a mixture, which is implemented by combining boosting, natural gradient, and a variance reduction method. The efficacy of the approach is illustrated by using simulated and real datasets to approximate multimodal, skewed and heavy-tailed posterior distributions, including an application to Bayesian deep feedforward neural network regression models. Supplementary materials, including appendices and computer code for this article, are available online.
DOI: 10.6084/m9.figshare.24201043.v2
title: Flexible Variational Bayes Based on a Copula of a Mixture

description: Variational Bayes methods approximate the posterior density by a family of tractable distributions whose parameters are estimated by optimization. Variational approximation is useful when exact inference is intractable or very costly. Our article develops a flexible variational approximation based on a copula of a mixture, which is implemented by combining boosting, natural gradient, and a variance reduction method. The efficacy of the approach is illustrated by using simulated and real datasets to approximate multimodal, skewed and heavy-tailed posterior distributions, including an application to Bayesian deep feedforward neural network regression models. Supplementary materials, including appendices and computer code for this article, are available online.
DOI: 10.6084/m9.figshare.24201043.v1
title: Flexible Variational Bayes based on a Copula of a Mixture

description: Variational Bayes methods approximate the posterior density by a family of tractable distributions whose parameters are estimated by optimisation. Variational approximation is useful when exact inference is intractable or very costly. Our article develops a flexible variational approximation based on a copula of a mixture, which is implemented by combining boosting, natural gradient, and a variance reduction method. The efficacy of the approach is illustrated by using simulated and real datasets to approximate multimodal, skewed and heavy-tailed posterior distributions, including an application to Bayesian deep feedforward neural network regression models. Supplementary materials, including appendices and computer code for this article, are available online.
DOI: 10.34848/jlp6c3/cvg4ay
title: TenderosFU03_BLandFUmerged_pub.dta

description: :unav
DOI: 10.34848/jlp6c3/mfwxyc
title: Encuesta Emprendimiento Seguimiento Final.pdf

description: :unav
DOI: 10.34848/jlp6c3/xrnx2i
title: WP1-2023-001.pdf

description: :unav
DOI: 10.34848/jlp6c3
title: Emprendimiento e informalidad: Microestablecimientos comerciales (Línea de Seguimiento) - Versión Pública

description: Información pública y anonimizada de la segunda encuesta sobre microestablecimientos comerciales línea base a la cuál pueden acceder los investigadores en general sin mayor restricción (luego de un tiempo de moratoria). El levantamiento de la información de la encuesta fue asignada a SEI consultores que, bajo los parámetros metodológicos definidos por el proyecto, implementó procesos técnicos, administrativos e instrumentos de investigación necesarios para lograr la cobertura esperada en la encuesta y con los niveles de calidad exigidos. Public and anonymised information from the followup survey on commercial micro-establishments which can be accessed by researchers in general without further restriction (after a period of moratorium). The survey information collection was assigned to SEI, which, under the methodological parameters defined by the project, implemented technical, administrative processes and research instruments necessary to achieve the expected coverage in the survey and with the required quality levels
DOI: 10.34848/jlp6c3/1dfsmm
title: CCP2T_03_Analisis_Encuestas_Panel.do

description: Explica la forma en la que se pegaron la linea base y seguimiento
DOI: 10.34848/jlp6c3/4zygrg
title: Análisis Censo Tenderos.do

description: Do-file con los que se realizó el informe. Si bien se refiere a otra base de datos, se puede reproducir con las dos que están en este repositorio.
DOI: 10.34848/jlp6c3/lytd5l
title: TenderosFU03_Publica.dta

description: :unav
DOI: 10.34848/jlp6c3/wh8hcu
title: Informe_final_Campo_310522.pdf

description: :unav
DOI: 10.6073/pasta/0dbbfdbcdee623477c000106c444f3fd
title: North Temperate Lakes LTER: Chemical Limnology of Primary Study Lakes: Nutrients, pH and Carbon 1981 - current

description: Parameters characterizing the nutrient chemistry of the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra, and Fish) are measured at one station in the deepest part of each lake at the top and bottom of the epilimnion, mid-thermocline, and top, middle, and bottom of the hypolimnion. These parameters include total nitrogen, total dissolved nitrogen (only in the northern lakes), nitrate, ammonia, total phosphorus, total dissolved phosphorus (only in the northern lakes), dissolved reactive phosphorus (only in the southern lakes and not in Wingra and Fish after 2003), bicarbonite-reactive filtered and unfiltered silica (both discontinued in 2003), dissolved reactive silica, field pH, air equilibrated pH, total alkalinity, total inorganic carbon, dissolved inorganic carbon, total organic carbon, dissolved organic carbon, and total particulate matter (only in the northern lakes in this data set. Total particulate matter in southern lakes starting in 2000 is available in a separate dataset). Sampling Frequency: monthly during ice-free season - every 6 weeks during ice-covered season for the northern lakes. The southern lakes are similar except that sampling occurs monthly during the fall and typically only once during the winter (depending on ice conditions). Number of sites: 11 Please consult NTL's website for information on experimental lake manipulations and the DNR's website for management activities
DOI: 10.6073/pasta/cf5bbc27f38370432cfdf7c5905afcc1
title: Lake Mendota Carbon and Greenhouse Gas Measurements at North Temperate Lakes LTER 2016

description: This original dataset contains carbon and greenhouse gas (GHG) data collected in Lake Mendota during the summer of 2016. Data were collected between 15 April 2016 and 14 November 2016 on both Lake Mendota and its surrounding streams—four major inflows and the primary outflow of Lake Mendota. The dataset is comprised of four linked tables, corresponding to carbon and GHG measurements on Lake Mendota (lake_weekly_carbon_ghg), weekly physico-chemical sonde casts on Lake Mendota (lake_weekly_ysi), ebullition rate estimates on Lake Mendota (lake_weekly_ebullition), and carbon and physico-chemical data from the four major inflows and primary outflow of Lake Mendota (stream_weekly_carbon_ysi). These data were used to explore the relationship between organic carbon dynamics and greenhouse gas production on a eutrophic lake. From these data, it is possible to estimate daily oxygen, methane, and carbon dioxide flux on Lake Mendota during the study time period. Additional methods and applications of this data can be found in J.A. Harts Masters Thesis, University of Wisconsin-Madison Center for Limnology, May 2017.
DOI: 10.6073/pasta/d64649d5240b49fccd4e2f37baff2469
title: North Temperate Lakes LTER: High Frequency Water Temperature Data - Trout Lake Buoy 2004 - current

description: The instrumented buoy on Trout Lake is equipped with a thermistor chain that measures water temperature from thermistors placed throughout the water column. From 2004 to mid-summer 2006, thermistors were placed every 0.5-1m from the surface through 14m, and every 2 to 4m from 14m to the bottom of the water column at 31m. The surface temperature sensors are attached to floats so that they are as close to the surface as feasible. In July 2006, a new thermistor chain was deployed with sensors placed every meter from the surface through a depth of 19 meters. This configuration lasted through 2008 and was used again 2012-2014. In the period 2009-2011, thermisters were place every meter down to 20m and then every two meters to a final depth of 32m. From 2015 to present, thermistors are spaced 0.25 meters from the surface to 1m, 0.5 meters down to 4 meters depth, and 1m spacing to 14 meters. Four more thermisters are at depths of 16, 20, 25 and 30 meters. Sampling frequency was 10 minutes in 2004-2005 and again 2007-2010. It was 2 minutes in 2006. Since 2011, sampling frequency has been every minute. The Trout Lake buoy is also equipped with a dissolved oxygen sensor and meteorological sensors that provide fundamental information on lake thermal structure, weather conditions, and lake metabolism. After correcting for flux to or from the atmosphere and vertical mixing within the water column, high frequency measurements of dissolved gases such as carbon dioxide and oxygen can be used to estimate gross primary productivity, respiration, and net ecosystem productivity, the basic components of whole lake metabolism. Number of sites: 1. Hourly and daily averages are computed from the high resolution data.
DOI: 10.5281/zenodo.10183078
title: gaussian functions
DOI: 10.5281/zenodo.10183079
title: gaussian functions
DOI: 10.34740/kaggle/dsv/7021924
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/7021929
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7021943
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5519/qd.t0snrgee
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc2g4szd
title: CCDC 2268734: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4t0g
title: CCDC 2268735: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4t1h
title: CCDC 2268736: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4t2j
title: CCDC 2268737: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g4t3k
title: CCDC 2268738: Experimental Crystal Structure Determination

description: Related Article: Erika Saito, Ryohei Yamakado, Taichi Yasuhara, Hiroto Yamaguchi, Shuji Okada, Tsukasa Yoshida|2023|RSC Advances|13|32039|doi:10.1039/D3RA06782C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.