cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8241503
title: ifilot/microkinetic-datasets-methanation-fts: Fix error in description

description: This repository contains three datasets for performing microkinetic simulations. CO2 methanation over Co(1121) lattice [1] CO2 methanation over a NiMn catalyst [2] Fischer-Tropsch synthesis over a dual-site Co(0001)xCo(1121) lattice [3] These datasets are based on the following publications 1. W. Chen; R. Pestman; B. Zijlstra; I.A.W. Filot; E.J.M. Hensen, Mechanism of cobalt-catalyzed co hydrogenation: 1. methanation, <br> ACS Catal., 2017, 7, 8061-8071.<br> 2. W.L. Vrijburg; E. Moioli; W. Chen; M. Zhang; B.J.P. Terlingen; B. Zijlstra; I.A.W. Filot; A.Zuttel; E.A. Pidko; E.J.M. Hensen, Efficient Base-Metal NiMn/TiO2 Catalyst for CO2 Methanation, ACS Catal., 2019, 9, 7823-7839.<br> 3. B. Zijlstra; R. J. P. Broos; W. Chen; G. L. Bezemer; I. A. W. Filot; E. J. M. Hensen, The vital role of step-edge sites for both co activation and chain growth on cobalt fischer-tropsch catalysts revealed through first-principles-based microkinetic modeling including lateral interactions, ACS Catal., 2020, 10, 9376-9400. For more information on the formatting of these files, please consult the<br> MKMCXX wiki.
description: {"references": ["W. Chen; R. Pestman; B. Zijlstra; I.A.W. Filot; E.J.M. Hensen,\u00a0Mechanism of cobalt-catalyzed co hydrogenation: 1. methanation,\u00a0 ACS Catal., 2017, 7, 8061-8071", "W.L. Vrijburg; E. Moioli; W. Chen; M. Zhang; B.J.P. Terlingen; B. Zijlstra; I.A.W. Filot; A.Zuttel; E.A. Pidko; E.J.M. Hensen, Efficient Base-Metal\u00a0NiMn/TiO2 Catalyst for CO2 Methanation, ACS Catal., 2019, 9, 7823-7839", "B. Zijlstra; R. J. P. Broos; W. Chen; G. L. Bezemer; I. A. W. Filot; E. J. M.\u00a0Hensen, The vital role of step-edge sites for both co activation and chain\u00a0growth on cobalt fischer-tropsch catalysts revealed through\u00a0first-principles-based microkinetic modeling including lateral interactions,\u00a0ACS Catal., 2020, 10, 9376-9400"]}
DOI: 10.5281/zenodo.5506685
title: German nobles in Paris, 1854

description: The 1851 census showed the presence of 12,245 Germans in Paris, the vast majority of whom were craftsmen. The "Adressbuch 1854" project, carried out at the German Historical Institute between 2002 and 2006, made use of a work identified in the holdings of the library of the city of Paris. Some 4,700 addresses were listed in a directory that can still be consulted in the archives. The project consisted of integrating the entries in the book into a database that could be consulted online.<br> The dataset focuses on the noble persons who were listed in the book. Their occupation, location and rank. For some, the legion of honor is indicated.
DOI: 10.5281/zenodo.5506684
title: German nobles in Paris, 1854

description: The 1851 census showed the presence of 12,245 Germans in Paris, the vast majority of whom were craftsmen. The "Adressbuch 1854" project, carried out at the German Historical Institute between 2002 and 2006, made use of a work identified in the holdings of the library of the city of Paris. Some 4,700 addresses were listed in a directory that can still be consulted in the archives. The project consisted of integrating the entries in the book into a database that could be consulted online.<br> The dataset focuses on the noble persons who were listed in the book. Their occupation, location and rank. For some, the legion of honor is indicated.
DOI: 10.6084/m9.figshare.23936574
title: d'-GoNogo-XMeng

description: Firstly, the hit rate and false alarm rate were calculated. The hit rate is the probability of reacting to a signal stimulus, while the false alarm rate is the probability of reacting to a noise stimulus.When the hit rate is 1, the probability (P) is calculated as 1-1/2N, where N is the number of target stimuli. When the false alarm rate is 0, P is calculated as 1/2N, where N is the number of noise stimuli. After converting hit and false alarm rates to Z-scores, d' could be calculated (d' = Z<sub>hit</sub> - Z<sub>false alarm</sub>).
DOI: 10.34740/kaggle/ds/3602830
title: HACER: Human ACtion and Emotion Recognition
DOI: 10.5281/zenodo.8241535
title: ASME 2023 Hackathon SPPARKS Dataset

description: This dataset is generated from running SPPARKS - a kinetic Monte Carlo model for ASME CIE/IDETC 2023 Hackathon.
DOI: 10.5281/zenodo.8241534
title: ASME 2023 Hackathon SPPARKS Dataset

description: This dataset is generated from running SPPARKS - a kinetic Monte Carlo model for ASME CIE/IDETC 2023 Hackathon.
DOI: 10.6084/m9.figshare.23936307
title: metagenomic assmbly genome

description: metagenomic assmbly genome
DOI: 10.57967/hf/0975
title: keyword-to-sentence-to-make-AAC-for-autistics
DOI: 10.6084/m9.figshare.21322401.v8
title: A kriging interpolation model for geographical flows

description: This dataset contains the code and data used in the case study mentioned in the paper "A kriging interpolation model for geographical flows".
DOI: 10.5281/zenodo.7962666
title: Supplementary Materials

description: <strong>Table S1. Detailed data for the 15 indicators used to calculate the vulnerability index.</strong> <strong>Table S2. Detailed assessment results of vulnerability and its elements based on the combination weighting method.</strong>
DOI: 10.5281/zenodo.8241621
title: Supplementary Materials

description: <strong>Table S1. Detailed data for the 15 indicators used to calculate the vulnerability index.</strong> <strong>Table S2. Detailed assessment results of vulnerability and its elements based on the combination weighting method.</strong>
DOI: 10.6084/m9.figshare.21322401.v9
title: A kriging interpolation model for geographical flows

description: This dataset contains the code and data used in the case study mentioned in the paper "A kriging interpolation model for geographical flows".<b>Title </b>A kriging interpolation model for geographical flows<b>Abstract</b>The kriging model can accommodate various spatial supports and has been extensively applied in hydrology, meteorology, soil science, and other domains. With the expansion of applications, it is essential to extend the kriging model for new spatial support of high-dimensional data. Geographical flows can depict the movements of geographical objects and imply the underlying mobility patterns in geographical phenomena. However, due to the bias, sparsity, and uneven quality of flow data in the real world, research about flows remains hindered by the lack of complete flow data and effective flow interpolation methods. In this study, we design a kriging interpolation model for flows based on several flow-related concepts and the autocorrelation of flows. We also analyze the second-order stationarity and anisotropy in the flow spatial random field. To illustrate the effectiveness and applicability of our method, we conduct two case studies. The former case study compares several experiments of flow density interpolation using Beijing mobile signaling data and illustrates the conditions of applicable areas. The latter case study extends our model to other flow attributes, such as travel time uncertainty, using Beijing taxi origin-destination flow data. The results of these cases demonstrate the effectiveness and high accuracy of our model.<br>
DOI: 10.23719/1528282
title: Promoting risk reduction among young adults with asthma during wildfire smoke

description: Poor air quality (AQ) from wildfire smoke is associated with increased asthma attacks and emergency department visits. Young adults are less likely to adhere to AQ alerts than older adults. 
This study utilized data collected as part of a 2020 pilot study testing two smartphone application (app) interventions in young adults with asthma compared to a control group.
NIH R21 1R21NR019071-01 (PI: Postma, Julie M) 4/1/2020-3/31/2022 Promoting Risk
Reduction Among Young Adults with Asthma During Wild�re Smoke Events The goal of
this proposal was to assess the feasibility of the `Smoke Sense,' an EPA-developed smart
phone air quality application (app), to positively impact health outcomes among young
adults with asthma. This study is a clinical intervention.
DOI: 10.21986/caida.data.telescope-packet-sampler
title: CAIDA UCSD Annotated Anonymized Telescope Packets Sampler

description: This dataset contains one-week (August 14-20, 2022) annotated anonymized packet captures of one of the /24 monitored by the UCSD telescope.
DOI: 10.34740/kaggle/ds/3618709
title: Titanic Survived Predictions
DOI: 10.5281/zenodo.8056635
title: EC data for "Temperature extremes of 2022 reduced carbon uptake by forests in Europe"

description: Used Eddy Covariance data following the methods described in "Temperature extremes of 2022 reduced carbon uptake by forests in Europe"
DOI: 10.5281/zenodo.8056634
title: EC data for "Temperature extremes of 2022 reduced carbon uptake by forests in Europe"

description: Used Eddy Covariance data following the methods described in "Temperature extremes of 2022 reduced carbon uptake by forests in Europe"
DOI: 10.34740/kaggle/dsv/6292102
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5519/qd.t0ec2ix7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4925 records)
DOI: 10.21986/caida.data.telescope-flowtuple-sampler
title: CAIDA UCSD Network Telescope FlowTuple Sampler

description: This dataset provides two sets of 2-hour-long FlowTuple data captured from UCSD-NT on April 26 (time1) and May 3 (time2), 2022
DOI: 10.5281/zenodo.7759557
title: A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization

description: <strong>Overview</strong>:<br> The dataset contains measurements of Angle of Arrival (AoA) and Received Signal Strength (RSS)collected from Bluetooth 5.1 tags and a set of 4 anchor nodes deployed in an indoor environment. The data collection campaign has been conducted in a wide-open room of 110 square meters located in a wide open room.<br> The dataset includes four application scenarios covering typical use-cases for indoor localization: calibration: 4 anchors and 1 tag mounted on a tripod and positioned in 119 different locations; static: 4 anchors and 1 tag held by a person resting in 36 different locations. The tag is locked on a lanyard around the person's neck, we collect data with the person oriented toward North, South, East and West; mobility: 4 anchors and a person holding the tag around the neck a moving along 3 different paths; proximity scenario: 4 anchors and tags held by groups of people. We reproduce proximity with dyads, triplets and of groups of 4 people approach and distancing along the time. All the scenarios include an accurate Ground Truth (GT) annotation. The dataset is organized in four folders one for each scenario: Calibration, Static, Mobility and Proximity. The dataset enables the study of how AoA varies under stationary or mobility conditions, facilitating the analysis of an anchor's AoA model. In addition, the data collected can be analyzed to create a simulator of AoA values, which is useful for rapid prototyping and evaluation of indoor localization algorithms. <strong>How to use the dataset</strong>:<br> Please, read the README.txt file detailing the dataset's format and the data collection camping. In summary, collected data include:<br> - Timestamp<br> - Tag identifier<br> - RSS on the 1<sup>st</sup> antenna's polarization<br> - AoA azimuth<br> - AoA elevation<br> - RSS on the 2<sup>nd</sup> antenna's polarization<br> - Bluetooth channel<br> - Anchor identifier <strong>How to cite this dataset</strong>: - DOI number of this datsaset : 10.5281/zenodo.7759557 - M. Girolami, F. Furfari, P. Barsocchi and F. Mavilia, "A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization," in <em>IEEE Access</em>, vol. 11, pp. 81763-81776, 2023, doi: 10.1109/ACCESS.2023.3301126.
DOI: 10.5281/zenodo.7759556
title: A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization

description: <strong>Overview</strong>:<br> The dataset contains measurements of Angle of Arrival (AoA) and Received Signal Strength (RSS)collected from Bluetooth 5.1 tags and a set of 4 anchor nodes deployed in an indoor environment. The data collection campaign has been conducted in a wide-open room of 110 square meters located in a wide open room.<br> The dataset includes four application scenarios covering typical use-cases for indoor localization: calibration: 4 anchors and 1 tag mounted on a tripod and positioned in 119 different locations; static: 4 anchors and 1 tag held by a person resting in 36 different locations. The tag is locked on a lanyard around the person's neck, we collect data with the person oriented toward North, South, East and West; mobility: 4 anchors and a person holding the tag around the neck a moving along 3 different paths; proximity scenario: 4 anchors and tags held by groups of people. We reproduce proximity with dyads, triplets and of groups of 4 people approach and distancing along the time. All the scenarios include an accurate Ground Truth (GT) annotation. The dataset is organized in four folders one for each scenario: Calibration, Static, Mobility and Proximity. The dataset enables the study of how AoA varies under stationary or mobility conditions, facilitating the analysis of an anchor's AoA model. In addition, the data collected can be analyzed to create a simulator of AoA values, which is useful for rapid prototyping and evaluation of indoor localization algorithms. <strong>How to use the dataset</strong>:<br> Please, read the README.txt file detailing the dataset's format and the data collection camping. In summary, collected data include:<br> - Timestamp<br> - Tag identifier<br> - RSS on the 1<sup>st</sup> antenna's polarization<br> - AoA azimuth<br> - AoA elevation<br> - RSS on the 2<sup>nd</sup> antenna's polarization<br> - Bluetooth channel<br> - Anchor identifier <strong>How to cite this dataset</strong>: - DOI number of this datsaset : 10.5281/zenodo.7759557 - M. Girolami, F. Furfari, P. Barsocchi and F. Mavilia, "A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization," in <em>IEEE Access</em>, vol. 11, pp. 81763-81776, 2023, doi: 10.1109/ACCESS.2023.3301126.
DOI: 10.5281/zenodo.8241771
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joan M. Venn, http://www.wikidata.org/entity/Q121364900. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121364900
DOI: 10.5281/zenodo.8241770
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Joan M. Venn, http://www.wikidata.org/entity/Q121364900. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q121364900
DOI: 10.6084/m9.figshare.23850324.v4
title: Require Dataset

description: This is the source code to reproduce the TimeTalk manuscript
DOI: 10.5281/zenodo.1215085
title: Binary Black-Hole Simulation Sxs:Bbh:0216

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/6fbpstxnp2.1
title: Data for: Investigating the awareness, behavior, and attitude toward epilepsy among university students in Benghazi, Libya

description: Epilepsy study Libya
DOI: 10.17632/gvydyry5rf.1
title: Data for: Efficiency of HIV-2 cultures from clinical isolates is enhanced after purification by anti-CD44 microbeads

description: Results of co-culture assays of HIV-1 and HIV-2 clinical isolates, using a purification step with CD44 MicroBeads.
DOI: 10.17632/pwwtyp5y92.1
title: Data for: Viral exposure effects on life-history, flight-related morphological traits, and wing melanisation in the Glanville fritillary butterfly

description: Raw data on phenotypic traits and wing measurements from experiment 1 and 2 of the study.
DOI: 10.5281/zenodo.1214653
title: Binary Black-Hole Simulation Sxs:Bbh:0287

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc1zlqdp
title: CCDC 1835243: Experimental Crystal Structure Determination

description: Related Article: Cherif Ben Nasr, Werner Kaminsky, Wijdène Nbili, Kamel Kaabi, Frederic Lefebvre|2018|CSD Communication|||
description: Related Article: Wijdene Nbili, Kamel Kaabi, Frédéric Lefebvre, Werner Kaminsky, Cherif Ben Nasr|2018|Chem. Data Collect.|17-18|345|doi:10.1016/j.cdc.2018.10.001
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.cc1zls4h
title: CCDC 1835297: Experimental Crystal Structure Determination

description: Related Article: Sopan Valiba Shinde, Pinaki Talukdar|2018|Chem.Commun.|54|10351|doi:10.1039/C8CC04044C
description: Related Article: Sopan Shinde|2018|CSD Communication|||
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.cc1zltjx
title: CCDC 1835340: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2018|CSD Communication|||
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.cc1zlts5
title: CCDC 1835348: Experimental Crystal Structure Determination

description: Related Article: Elisa Nauha, Louis Adriaenssens|2018|CSD Communication|||
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: 10.5281/zenodo.1215089
title: Binary Black-Hole Simulation Sxs:Bbh:0217

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc1zltr4
title: CCDC 1835347: Experimental Crystal Structure Determination

description: Related Article: Elisa Nauha, Louis Adriaenssens|2018|CSD Communication|||
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.cc1zltt6
title: CCDC 1835349: Experimental Crystal Structure Determination

description: Related Article: Elisa Nauha, Louis Adriaenssens|2018|CSD Communication|||
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.cc1zltv7
title: CCDC 1835350: Experimental Crystal Structure Determination

description: Related Article: Elisa Nauha, Louis Adriaenssens|2018|CSD Communication|||
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.cc1zltw8
title: CCDC 1835351: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2018|CSD Communication|||
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: 10.15151/esrf-es-60977488
title: Russian BAG for Xtallography and BioSAXS
DOI: 10.5281/zenodo.1214325
title: Binary Black-Hole Simulation Sxs:Bbh:0221

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214330
title: Binary Black-Hole Simulation Sxs:Bbh:0222

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214332
title: Binary Black-Hole Simulation Sxs:Bbh:0223

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214667
title: Binary Black-Hole Simulation Sxs:Bbh:0298

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214671
title: Binary Black-Hole Simulation Sxs:Bbh:0299

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214334
title: Binary Black-Hole Simulation Sxs:Bbh:0224

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214344
title: Binary Black-Hole Simulation Sxs:Bbh:0235

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214347
title: Binary Black-Hole Simulation Sxs:Bbh:0236

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214349
title: Binary Black-Hole Simulation Sxs:Bbh:0237

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214677
title: Binary Black-Hole Simulation Sxs:Bbh:0318

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1215095
title: Binary Black-Hole Simulation Sxs:Bbh:0218

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214685
title: Binary Black-Hole Simulation Sxs:Bbh:0319

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214360
title: Binary Black-Hole Simulation Sxs:Bbh:0252

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214691
title: Binary Black-Hole Simulation Sxs:Bbh:0320

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1214374
title: Binary Black-Hole Simulation Sxs:Bbh:0263

description: Simulation of a black-hole binary system evolved by the SpEC code.