cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h4cyzwfr9r.2
title: DATASET: Are people with high psychoticism the true homo economicus? Personality as a variable to be taken into account in behavioral economics.

description: In the context of the Common Goods Game, 97 students are asked to contribute to a common fund. They had 25 units, corresponding to 0,25 tenths of one subject final grade score, which can contribute to the common fund to the extent that they wish, knowing that, after the contribution of all students, the total amount of the common fund will be doubled and will be distributed equally among all the participants. If everyone contributed their 25 units, they would get 50. The prosocial strategy (social optimum) would be to provide all of the 25 tenths, with the hope that everyone will do the same and, therefore, double those tenths. The antisocial strategy (optimal individual), and optimal in mathematical terms, would not contribute anything in the hope that others would help everything. Based on whether there is a possibility of inferring the level of contribution that a subject will make to the common fund based on their personality traits and prosocial behavior, the following hypotheses are established: H1: The big five personality traits measured through the TIPI will correlate with the level of contributions to the common fund. H2: The features of agreeableness and consciousness in their lower quartile, as a measure of high psychoticism, will be predictive of the lowest levels of contribution. The present dataset is an spss archive in which you can see the measure of the sample Big Five personality traits (these can take values between 1 and 5), the "Psychoticism" variable (it can take the value "Psych-H" or the value "Psych-L") and the "Contribution" and "Gained" variables (that collect the amounts contributed and earned). Psych-H value includes subjects with values in the lowest quartile of both traits, agreeableness and consciousness. Given the non-normality of the variables, if non-parametric analyzes are performed, it can be verified that there are no statistically significant differences between the distributions of personality traits and the level of contribution, so the traits will not be variables that can predict levels of contribution. But it is found statistical dependence between the variable contribution to the common fund and the variable psychoticism with an effect size between small and medium.
DOI: 10.7910/dvn/md18jz/ib97zc
title: 003_dataset_PROMIS-BF_Baseline_child.tab

description: :unav
DOI: 10.7910/dvn/md18jz/yacnql
title: 001_questionnaire_PROMIS-BF_Baseline.pdf

description: :unav
DOI: 10.17632/zdb2wd2h77.2
title: Database for Fire-induced spalling in reinforced concrete (RC) columns
DOI: 10.17632/hgt5whhj6n.2
title: Clip #8

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.7910/dvn/nwvo32/ibfafg
title: 001_questionnaire_PROMIS-BF_Endline.pdf

description: :unav
DOI: 10.7910/dvn/nwvo32/n3hfgo
title: 002_codebook_PROMIS-BF_Endline_child.pdf

description: :unav
DOI: 10.7910/dvn/nwvo32/pbw30c
title: 003_dataset_PROMIS-BF_Endline_child.tab

description: :unav
DOI: 10.5281/zenodo.3341420
title: CMS 2011A Simulation | Pythia 6 QCD 600-800 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 600-800 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV Changes: v1 - Uploaded missing file.
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.5281/zenodo.3341421
title: CMS 2011A Simulation | Pythia 6 QCD 600-800 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 600-800 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.17632/xskxs82mz6.2
title: Clip #6

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.5281/zenodo.3341412
title: CMS 2011A Simulation | Pythia 6 QCD 800-1000 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 800-1000 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.5281/zenodo.3341413
title: CMS 2011A Simulation | Pythia 6 QCD 800-1000 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 800-1000 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.15468/je9ehp
title: Arácnidos - Miriápodos de la expedición al Río Apaporis - Proyecto Colombia BIO

description: El recurso que está siendo documentado comprende la información de los especímenes de arácnidos y miriápodos recolectados durante la Expedición Colombia BIO Apaporis 2018 y preservados completos en ETOH. Poseen 609 registros y 1278 individuos, 1113 arácnidos y 104 miriápos.
DOI: 10.17632/f24x2p6b5h.2
title: Clip #5

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.18430/m33lv3
title: X-ray diffraction data for the crystal structure of HLA-B*2705 complexed with a peptide derived from the human voltage-dependent calcium channel alpha1 subunit (residues 513-521) (3LV3)
DOI: 10.18430/m33o81
title: X-ray diffraction data for the beta2-microglobulin from Gallus gallus (3O81)
DOI: 10.5281/zenodo.3341501
title: CMS 2011A Simulation | Pythia 6 QCD 1000-1400 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 1000-1400 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.5281/zenodo.3341502
title: CMS 2011A Simulation | Pythia 6 QCD 1000-1400 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 1000-1400 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.17632/nc26mcmgxb.1
title: Research data for "Karstic submarine groundwater discharge into the Mediterranean: Radon-based nutrient fluxes in an anchialine cave and a basin-wide upscaling"

description: Research data for "Karstic submarine groundwater discharge into the Mediterranean: Radon-based nutrient fluxes in an anchialine cave and a basin-wide upscaling".
DOI: 10.17632/nc26mcmgxb.2
title: Research data for "Karstic submarine groundwater discharge into the Mediterranean: Radon-based nutrient fluxes in an anchialine cave and a basin-wide upscaling"

description: Research data for "Karstic submarine groundwater discharge into the Mediterranean: Radon-based nutrient fluxes in an anchialine cave and a basin-wide upscaling".
DOI: 10.17632/m88955h7vb.2
title: Clip #3

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX.
DOI: 10.17632/vry8n5nkrf.2
title: Clip #4

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX.
DOI: 10.17632/rkyfwv9hw8.2
title: Clip #1

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX.
DOI: 10.17632/ynmympptmy.2
title: Clip #2

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX.
DOI: 10.17632/967vw95cwm.1
title: Data for: 2,4,5-Tris(alkoxyaryl)imidazoline derivatives as potent scaffold for novel p53-MDM2 interaction inhibitors: design, synthesis, and biological evaluation

description: Data for: 2,4,5-Tris(alkoxyaryl)imidazoline derivatives as potent scaffold for novel p53-MDM2 interaction inhibitors: design, synthesis, and biological evaluation
DOI: 10.17632/d3nyr5j9zy.1
title: Data for: Rifamycin derivatives active against pathogenic rapidly-growing mycobacteria

description: MIC and Zone of inhibition data for a series of C25 Carbamate derivatives against a panel of clinical isolates of RGM including Mycobacterium abscessus
DOI: 10.5281/zenodo.3341499
title: CMS 2011A Simulation | Pythia 6 QCD 170-300 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 170-300 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.5281/zenodo.3341500
title: CMS 2011A Simulation | Pythia 6 QCD 170-300 | pT &gt; 375 GeV | MOD HDF5 Format

description: Simulated QCD jets from the Simulated QCD 170-300 Dataset of the CMS 2011 Open Data reprocessed into the MOD HDF5 format. Jets are provided at generator (truth) level in the GEN files and after GEANT4 detector simulation in the SIM files (which also contain associated GEN jets to facilitate studies involving both types of jets). Jets are selected from the hardest two anti-kT R=0.5 jets in events passing the Jet300 High Level Trigger (only relevant for SIM) and are required to have \(p_T^\text{jet}&gt;375\) GeV, where \(p_T^\text{jet}\) includes a jet energy correction factor (again, only relevant for SIM). GEN jets contain truth-level particles with kinematic and PDG ID information, and SIM jets contain Particle Flow Candidates (PFCs) with kinematic, PDG ID, and vertex information. Additionally, jets have metadata describing their kinematics and provenance in the original CMS AOD files. For additional details about the dataset, please see the accompanying paper, Exploring the Space of Jets with CMS Open Data. There, jets were further restricted to have \(|\eta^\text{jet}|&lt;1.9\) to ensure tracking coverage and (in the case of SIM) have "medium" quality to reject fake jets. The supported method for downloading, reading, and using this dataset is through the EnergyFlow Python package, which has additional documentation about how to read and use this and related datasets. Should any problems be encountered, please submit an issue on GitHub. For reference, the other corresponding datasets of simulated jets available on Zenodo are: SIM/GEN QCD Jets 170-300 GeV SIM/GEN QCD Jets 300-470 GeV SIM/GEN QCD Jets 470-600 GeV SIM/GEN QCD Jets 600-800 GeV SIM/GEN QCD Jets 800-1000 GeV SIM/GEN QCD Jets 1000-1400 GeV SIM/GEN QCD Jets 1400-1800 GeV SIM/GEN QCD Jets 1800-\(\infty\) GeV There is an associated dataset of jets recorded by the CMS detector available on Zenodo: CMS 2011A Jets, pT &gt; 375 GeV
description: {"references": ["P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network."]}
DOI: 10.17632/9bh84stv54.1
title: Data for: Discovery of piperazic acid peptide deformylase inhibitors with in vivo activity for respiratory tract and skin infections

description: Supporting information for discovery of piperazic acid peptide deformylase inhibitors with in vivo activity for respiratory tract and skin infections