cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.zhvb6mqd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (115 records)
DOI: 10.5281/zenodo.3696889
title: Data for tutorial of RNA interactome data analysis

description: Data required for galaxy training tutorial of RNA interactome data analysis
DOI: 10.5281/zenodo.3696975
title: Supplementary material for the publication "Copper mining: 100% solar electricity by 2030?"

description: This is a supplementary material to the publication "Copper mining: 100% solar electricity by 2030?" by Jannik Haas, Simón Moreno-Leiva, Tobias Junne, Po-Jung Chen, Giovanni Pamparana, Wolfgang Nowak, Willy Kracht, and Julián Ortiz. This file contains the main inputs used and outputs generated. For the reasoning and assumptions behind these numbers, as well as the origin of these datasets, please consult the main article.
DOI: 10.5519/qd.sb7g692m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5231 records)
DOI: 10.5281/zenodo.3696896
title: IO Islamic 1117. Siyar-almta'akhkhirîn, History of the Indian Empire

description: IO Islamic 1117. Siyar-almta’akhkhirîn, History of the Indian Empire
DOI: 10.5281/zenodo.3696897
title: IO Islamic 1117. Siyar-almta'akhkhirîn, History of the Indian Empire

description: IO Islamic 1117. Siyar-almta’akhkhirîn, History of the Indian Empire
DOI: 10.3886/icpsr37590.v1
title: Contextualizing and Responding to HIV Risk Behaviors among Black Drug Offenders, New York, 2016
title: Version 1

description: The purpose of this study was to pilot test the potential for improvement in antiretroviral medication adherence of an adapted group-based, multi-session, community-based Antiretroviral Therapy (ART) adherence and risk reduction intervention, Project ADHerence Education and Risk Evaluation (ADHERE). Project ADHERE was compared to a single-session group-based medication adherence intervention, Medication Adherence and Care Engagement (MACE). A secondary aim was to examine the impact of Project ADHERE on HIV risk behaviors (i.e., illicit drug use and unprotected sexual behavior). Formerly incarcerated Black drug offenders are at an elevated risk for HIV infection. Despite substantial research expressing the need for HIV prevention services for ex-offenders postrelease, this population has limited access to quality programming and services related to HIV risk reduction. This study seeks to inform and adapt an HIV risk reduction intervention to address the needs of formerly incarcerated Black drug offenders who are being released from prisons in the New York City metropolitan area. The study utilizes qualitative and quantitative methods to inform and adapt an HIV prevention intervention for this study population.
description: This study was conducted to address the following specific aims: 1) to examine individual-level, environmental and contextual factors that affect HIV risk-related behaviors (i.e. illicit drug use and risky sexual behavior) among formerly incarcerated Black male and female drug offenders; 2) to adapt Project START, an HIV risk reduction intervention for formerly incarcerated men, using data gathered from Aim 1, to increase access to HIV testing and address drivers of HIV vulnerability among recently released Black male and female drug offenders; and 3) to pilot test the feasibility and acceptability of the adapted Project START using a randomized clinical trial with 64 participants (32 men, 32 women).
description: The study utilized a mixed-methods approach to investigate drivers of HIV risk among recently released Black drug offenders. The study occured in three phases implemented over the course of five years.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels..
description: Datasets: DS0: Study-Level Files DS1: Screener Data DS2: Survey Data
description: face-to-face interview
description: mixed mode
description: on-site questionnaire
description: 18 years of age or older, history of drug use, HIV seropostive with "detectable" viral load, experienced incarceration in prison or jail within the past five years. Smallest Geographic Unit: City
DOI: 10.5281/zenodo.3696969
title: Probing the Electrical Double Layer by Operando X-ray Photoelectron Spectroscopy through a Graphene-Carbon Nanotube Composite Window

description: Supporting information for Molecular Dynamics NAMD 2.0 simulations of BPY1,4-TFSI-Li ionic liquid mixture encased in cuboid graphene box for graphene window double layer calculations presented in submitted manuscript to Eco Mat journal. The files contain new developed parameters for BPY1,3-TFSI force field based on Gaussian09 DFT calculations and relevant PDB and PSF and configuration files for NAMD runs at 0, 1 and 3Volt. Abstract: The electrical double layer is known to spontaneously form at the electrode-electrolyte interface, impacting many important chemical and physical processes as well as applications including electrocatalysis, electroorganic synthesis, nanomaterial preparation, energy storage, and even emulsion stabilization. However, it has been challenging to study this fundamental phenomenon at the molecular level because the electrical double layer is deeply “buried” by the bulk electrolyte solution. Here, we report a quantitative probing of the electrical double layer of ionic liquids from the solid side of a photoelectron-transparent graphene-carbon nanotube hybrid membrane electrode using X-ray photoelectron spectroscopy. The membrane window is ultrathin (~1.5 nm), large (~1 cm<sup>2</sup>), and robust, enabling a tight seal of the electrolyte and quantitative measurement with excellent photoelectron signals. By <em>operando</em>monitoring the population changes of cations and anions in response to the applied electrical potentials, we experimentally resolve the chemical structure and dynamics of the electrical double layer, which corroborate results from molecular dynamics simulations.
DOI: 10.5281/zenodo.3696970
title: Probing the Electrical Double Layer by Operando X-ray Photoelectron Spectroscopy through a Graphene-Carbon Nanotube Composite Window

description: Supporting information for Molecular Dynamics NAMD 2.0 simulations of BPY1,4-TFSI-Li ionic liquid mixture encased in cuboid graphene box for graphene window double layer calculations presented in submitted manuscript to Eco Mat journal. The files contain new developed parameters for BPY1,3-TFSI force field based on Gaussian09 DFT calculations and relevant PDB and PSF and configuration files for NAMD runs at 0, 1 and 3Volt. Abstract: The electrical double layer is known to spontaneously form at the electrode-electrolyte interface, impacting many important chemical and physical processes as well as applications including electrocatalysis, electroorganic synthesis, nanomaterial preparation, energy storage, and even emulsion stabilization. However, it has been challenging to study this fundamental phenomenon at the molecular level because the electrical double layer is deeply “buried” by the bulk electrolyte solution. Here, we report a quantitative probing of the electrical double layer of ionic liquids from the solid side of a photoelectron-transparent graphene-carbon nanotube hybrid membrane electrode using X-ray photoelectron spectroscopy. The membrane window is ultrathin (~1.5 nm), large (~1 cm<sup>2</sup>), and robust, enabling a tight seal of the electrolyte and quantitative measurement with excellent photoelectron signals. By <em>operando</em>monitoring the population changes of cations and anions in response to the applied electrical potentials, we experimentally resolve the chemical structure and dynamics of the electrical double layer, which corroborate results from molecular dynamics simulations.
DOI: 10.6073/pasta/e7898d1958661abfec2910d778cb2991
title: Periphyton data collected from Northeast Shark Slough, Everglades National Park (FCE LTER) from September 2006 to September 2008

description: Periphyton assessments were conducted and recorded for each throw. Periphyton volumes, cover, type and composition were recorded, along with some general observations of the area. Periphyton samples were brought back for processing, and archived for soft algae, diatom, chlorophyll a, biomass and nutrient analysis.
DOI: 10.5285/f0149848-bd81-4a3e-ac20-67d347e7d480
title: Ionospheric vorticity across the northern polar ionosphere determined from SuperDARN velocity data - 2000 to 2005 inclusive

description: The data set comprises of ionospheric vorticity estimates determined from measurements of ionospheric velocity made by the Super Dual Auroral Radar Network (SuperDARN). The vorticity estimates have been determined across the whole of the northern hemisphere polar ionosphere. The data cover the interval from 2000 to 2005 inclusive.
description: The vorticity estimates are determined by identifying SuperDARN velocity measurements around spatially closed loops determined by the geometry of the SuperDARN beam look directions. The vorticity at the centre of these closed loops is determined from the velocity around the loops by using Stokes' theorem. The vorticity determination methodology is outlined in Chisham et al. (2009).
description: The analysis uses SuperDARN data from the Kodiak, Prince George, Saskatoon, Kapuskasing, Stokkseyri and Goose Bay SuperDARN radars. The raw data were analysed using the SuperDARN FitACF v2.5. The data were mapped using the Chisham et al.(2008) virtual height model. The data are presented in Altitude-Adjusted Corrected GeoMagnetic (AACGM) co-ordinates.
description: The overall quality of the vorticity estimates is highly dependent on the raw SuperDARN velocity data that provide the primary data source. These are generally of high quality with low errors. The quality of the vorticity estimates is mostly affected by missing velocity data. To mitigate this the vorticity estimates are only determined when adequate SuperDARN velocity data are available. See Chisham et al. (2009) for full details regarding data quality.
DOI: 10.15468/dzqtop
title: The Trichoptera of Panama V. Descriptions of new species, new country records, and a synonymy

description: This dataset contains the digitized treatments in Plazi based on the original journal article Armitage, Brian J., Harris, Steven C. (2018): The Trichoptera of Panama V. Descriptions of new species, new country records, and a synonymy. Insecta Mundi 604: 1-11, DOI: http://doi.org/10.5281/zenodo.3697011
DOI: 10.5281/zenodo.3697101
title: Grid data for AEPs

description: The associated grid data for the AEPs presented in Sonnewald et al. "Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces".
DOI: 10.5281/zenodo.3697102
title: Grid data for AEPs

description: The associated grid data for the AEPs presented in Sonnewald et al. "Elucidating Ecological Complexity: Unsupervised Learning determines global marine eco-provinces".
DOI: 10.14469/hpc/6914
title: 2-methoxy-4-(3-oxobutyl)phenyl 2-cyclopropylacetate

description: there is a singlet at 2.3 ppm which is a anomalous.
DOI: 10.5281/zenodo.3695795
title: Supplementary Material for the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting

description: This is the dataset used in the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting. It is composed of: - Pre-trained models using active learning for document screening on HealthCLEF and Epistemonikos datasets. - Epistemonikos and HealthCLEF datasets containing medical questions and relevant/non relevant articles. - Embeddings and Document Representations used for experiments on both datasets. Scripts to run experiments can be found at: https://github.com/afcarvallo/active_learning_document_screening <strong>Paper abstract:</strong> Document screening is a fundamental task within Evidence-based Medicine (EBM), a practice that provides scientific evidence to support medical decisions. Several approaches have tried to reduce physicians' workload of screening and labeling vast amounts of documents to answer clinical questions. Previous works tried to semi-automate document screening, reporting promising results, but their evaluation was conducted on small datasets, which hinders generalization. Moreover, recent works in natural language processing have introduced neural language models, but none have compared their performance in EBM. In this paper, we evaluate the impact of several document representations such as TF-IDF along with neural language models (BioBERT, BERT, Word2vec, and GloVe) on an active learning-based setting for document screening in EBM. Our goal is to reduce the number of documents that physicians need to label to answer clinical questions. We evaluate these methods using both a small challenging dataset (HealthCLEF 2017) as well as a larger one but easier to rank (Epistemonikos). Our results indicate that word as well as textual neural embeddings always outperform the traditional TF-IDF representation. When comparing among neural and textual embeddings, in the HealthCLEF dataset the models BERT and BioBERT yielded the best results. On the larger dataset, Epistemonikos, Word2Vec and BERT were the most competitive, showing that BERT was the most consistent model across different corpuses. In term of active learning, an uncertainty sampling strategy combined with logistic regression achieved the best performance overall, above other methods under evaluation, and in fewer iterations.
DOI: 10.5281/zenodo.3695796
title: Supplementary Material for the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting

description: This is the dataset used in the paper: Automatic Document Screening of Medical Literature Using Word and Text Embeddings in an Active Learning Setting. It is composed of: - Pre-trained models using active learning for document screening on HealthCLEF and Epistemonikos datasets. - Epistemonikos and HealthCLEF datasets containing medical questions and relevant/non relevant articles. - Embeddings and Document Representations used for experiments on both datasets. Scripts to run experiments can be found at: <strong>https://github.com/afcarvallo/automatic_document_screening</strong> <strong>Paper abstract:</strong> Document screening is a fundamental task within Evidence-based Medicine (EBM), a practice that provides scientific evidence to support medical decisions. Several approaches have tried to reduce physicians' workload of screening and labeling vast amounts of documents to answer clinical questions. Previous works tried to semi-automate document screening, reporting promising results, but their evaluation was conducted on small datasets, which hinders generalization. Moreover, recent works in natural language processing have introduced neural language models, but none have compared their performance in EBM. In this paper, we evaluate the impact of several document representations such as TF-IDF along with neural language models (BioBERT, BERT, Word2vec, and GloVe) on an active learning-based setting for document screening in EBM. Our goal is to reduce the number of documents that physicians need to label to answer clinical questions. We evaluate these methods using both a small challenging dataset (HealthCLEF 2017) as well as a larger one but easier to rank (Epistemonikos). Our results indicate that word as well as textual neural embeddings always outperform the traditional TF-IDF representation. When comparing among neural and textual embeddings, in the HealthCLEF dataset the models BERT and BioBERT yielded the best results. On the larger dataset, Epistemonikos, Glove and BioBERT were the most competitive, showing that BioBERT was the most consistent model across different corpuses. In term of active learning, an uncertainty sampling strategy combined with logistic regression achieved the best performance overall, above other methods under evaluation, and in fewer iterations.
DOI: 10.3886/e112921v1-22765
title: Replication data for: The Effect of the TseTse Fly on African Development

description: The TseTse fly is unique to Africa and transmits a parasite harmful to humans and lethal to livestock. This paper tests the hypothesis that the TseTse reduced the ability of Africans to generate an agricultural surplus historically. Ethnic groups inhabiting TseTse-suitable areas were less likely to use domesticated animals and the plow, less likely to be politically centralized, and had a lower population density. These correlations are not found in the tropics outside of Africa, where the fly does not exist. The evidence suggests current economic performance is affected by the TseTse through the channel of precolonial political centralization. (JEL I12, N57, O13, O17, Q12, Q16, Q18)
DOI: 10.5519/qd.wd8o1j3k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (98 records)
DOI: 10.7910/dvn/rp2hot/shrjzs
title: 2020-ia-precinct-potus-dem.csv

description: :unav
DOI: 10.21227/jn7w-vn96
title: Border Gateway Protocol routing records from Reseaux IP Europeens (RIPE) and BCNET

description: Three well-known Border Gateway Anomalies (BGP) anomalies Slammer, Nimda, and Code Red I occurred in January 2003, September 2001, and July 2001, respectively. The Reseaux IP Europeens (RIPE) BGP update messages are publicly available from the Network Coordination Centre (NCC)and contain Slammer, Nimda, Code Red I, and regular data: https://www.ripe.net/analyse/. Regular data are also collected from BCNET: http://www.bc.net/.Slammer infected Microsoft SQL servers through a small piece of code that generated IP addresses at random. The number of infected machines doubled approximately every 9 seconds. Nimda exploited vulnerabilities in the Microsoft Internet Information Services (IIS) web servers for Internet Explorer 5. The worm propagated by sending an infected attachment that was automatically downloaded once the email was viewed. The Code Red I worm attacked Microsoft IIS web servers by replicating itself through IIS server weaknesses Unlike the Slammer worm, Code Red I searched for vulnerable servers to infect. The rate of infection was doubling every 37 minutes. 37 features are extracted from BGP update messages that originated from AS 513 (route collector rrc 04). The data collected during periods of Internet anomalies include: five-day period for Slammer and Code Red I (the day of the attack as well as two days prior and two days after the attack); seven-day period for Nimda (two and a half days of the attack as well as two and a half days prior and two days after the attack). Note that there are 31 missing data points in the Nimda dataset. http://www.sfu.ca/~ljilja/cnl/projects/BGP_datasets/index.html
DOI: 10.5281/zenodo.3697104
title: Data-sets for Indoor Photovoltaic Behavior in Low Lighting condition

description: This file includes five data-sets from behavior of indoor photovoltaic modules under pure artificial lighting conditions with low light intensity. Three types of PV module are included by use of two types of light sources measured in a high accuracy controlled light testbed. One of data-sets includes data measured within a warehouse as a industrial environment mostly with pure artificial lighting with low light intensity. Each data-set includes multiple measurements at different light intensities and temperature condition. Each measurement includes both radiometry and photometry spectrum of the light, integrative light intensity and temperature in addition to the voltage-current relation of the PV module in that lighting condition.
DOI: 10.5281/zenodo.3697105
title: Data-sets for Indoor Photovoltaic Behavior in Low Lighting condition

description: This file includes five data-sets from behavior of indoor photovoltaic modules under pure artificial lighting conditions with low light intensity. Three types of PV module are included by use of two types of light sources measured in a high accuracy controlled light testbed. One of data-sets includes data measured within a warehouse as a industrial environment mostly with pure artificial lighting with low light intensity. Each data-set includes multiple measurements at different light intensities and temperature condition. Each measurement includes both radiometry and photometry spectrum of the light, integrative light intensity and temperature in addition to the voltage-current relation of the PV module in that lighting condition.
DOI: 10.5281/zenodo.3697114
title: FMAP data files

description: The accurate study of the binding mechanism of a ligand to its molecular target is fundamental to discover new possible drug targets. In order to do that, we can employ free-energy calculations due to their accuracy, although the lack in user-friendliness generally hampers their broad application. In this regard, the Funnel-Metadynamics Advanced Protocol (FMAP) represents a flexible and user-friendly protocol to perform Funnel-Metadynamics, a binding free-energy method that employs a funnel-shape restraint potential to obtain the ligand binding mode and the accurate calculation of the absolute ligand/protein binding free energy. Through the use of graphical interfaces, FMAP is able to assist the user during all steps of the investigation, allowing to disclose the ligand binding mode and mechanism and accurately compute the absolute protein/ligand binding free energy. This package contains inputs and outputs files of FMAP produced for the paradigmatic benzamidine-trypsin system.
description: We would like to acknowledge the support of the Italian MIUR-PRIN 2017 (project id 2017FJZZRC) and the Swiss National Supercomputing Centre (CSCS) [project ID u8].
DOI: 10.5281/zenodo.3697115
title: FMAP data files

description: The accurate study of the binding mechanism of a ligand to its molecular target is fundamental to discover new possible drug targets. In order to do that, we can employ free-energy calculations due to their accuracy, although the lack in user-friendliness generally hampers their broad application. In this regard, the Funnel-Metadynamics Advanced Protocol (FMAP) represents a flexible and user-friendly protocol to perform Funnel-Metadynamics, a binding free-energy method that employs a funnel-shape restraint potential to obtain the ligand binding mode and the accurate calculation of the absolute ligand/protein binding free energy. Through the use of graphical interfaces, FMAP is able to assist the user during all steps of the investigation, allowing to disclose the ligand binding mode and mechanism and accurately compute the absolute protein/ligand binding free energy. This package contains inputs and outputs files of FMAP produced for the paradigmatic benzamidine-trypsin system.
description: We would like to acknowledge the support of the Italian MIUR-PRIN 2017 (project id 2017FJZZRC) and the Swiss National Supercomputing Centre (CSCS) [project ID u8].
DOI: 10.15468/rgw0tk
title: A new synonymy and transference in Cerambycinae (Coleoptera, Cerambycidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wappes, James E., Santos-Silva, Antonio (2018): A new synonymy and transference in Cerambycinae (Coleoptera, Cerambycidae). Insecta Mundi 610: 1-2, DOI: http://doi.org/10.5281/zenodo.3697166
DOI: 10.7910/dvn/e5yyz7/pj4pvi
title: Henrietta_Leavitt_Science_Alves_Goodman.key

description: Keynote slides for "Climbing the Cosmic Distance Ladder "in" a WorldWide Telescope"
DOI: 10.7910/dvn/e5yyz7/tcpol1
title: Henrietta_Leavitt_Science_Alves_Goodman.pdf

description: Pdf slides for "Climbing the Cosmic Distance Ladder "in" a WorldWide Telescope"