cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3866472
title: Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures (Dataset)

description: The accompanying dataset and code for the ICRA 2020 publication: B. Gromov, J. Guzzi, L. Gambardella, and A. Giusti, "Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures," in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020. The dataset contains a log of user actions and states of the system collected during the user study. The subjects had to fly a nano quadcopter (Bitcraze Crazyflie 2.0) between three targets placed at different heights by using a conventional joystick interface (Logitech F710) and pointing. The pointing is reconstructed using an inertial sensor (mbientlab MetaWearR+) placed on the user's wrist.
DOI: 10.5281/zenodo.3866473
title: Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures (Dataset)

description: The accompanying dataset and code for the ICRA 2020 publication: B. Gromov, J. Guzzi, L. Gambardella, and A. Giusti, "Intuitive 3D Control of a Quadrotor in User Proximity with Pointing Gestures," in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020. The dataset contains a log of user actions and states of the system collected during the user study. The subjects had to fly a nano quadcopter (Bitcraze Crazyflie 2.0) between three targets placed at different heights by using a conventional joystick interface (Logitech F710) and pointing. The pointing is reconstructed using an inertial sensor (mbientlab MetaWearR+) placed on the user's wrist.
DOI: 10.17632/6yxdt9xc2n.1
title: Data for: Use of aquaculture ponds by globally endangered red-crowned crane (Grus japonensis) during wintering period in the Yancheng National Nature Reserve, a Ramsar wetland

description: Raw data : Use of aquaculture ponds by globally endangered red-crowned crane (Grus japonensis) during wintering period in the Yancheng National Nature Reserve, a Ramsar wetland
DOI: 10.5281/zenodo.3870663
title: Pterostilbene Protects Cochlea from Ototoxicity in Streptozotocin-Induced Diabetic Rats by Inhibiting Apoptosis

description: Diabetes mellitus (DM) causes ototoxicity by inducing oxidative stress, microangiopathy, and apoptosis in the cochlear sensory hair cells. The natural anti-oxidant pterostilbene (PTS) (trans-3,5-dimethoxy-4-hydroxystylbene) has been reported to relieve oxidative stress and apoptosis in DM, but its role in diabetic-induced ototoxicity is unclear. This study aimed to investigate the effects of dose-dependent PTS on the cochlear cells of streptozotocin (STZ)-induced diabetic rats. The study included 30 albino male Wistar rats that were randomized into five groups: non-diabetic control (Control), diabetic control (DM), and diabetic rats treated with intraperitoneal PTS at 10, 20, or 40 mg/kg/day during the four-week experimental period (DM + PTS10, DM + PTS20, and DM + PTS40). Distortion product otoacoustic emission (DPOAE) tests were performed at the beginning and end of the study. At the end of the experimental period, apoptosis in the rat cochlea was investigated using caspase-8, cytochrome-c, and terminal deoxyribonucleotidyl transferase-mediated dUTP-biotin end labeling (TUNEL). Quantitative real-time polymerase chain reaction was used to assess the mRNA expression levels of the following genes: CASP-3, BCL-associated X protein (BAX), and BCL-2. Body weight, blood glucose, serum insulin, and malondialdehyde (MDA) levels in the rat groups were evaluated. The mean DPOAE amplitude in the DM group was significantly lower than the means of the other groups (0.9–8 kHz; P &lt; 0.001 for all). A dose-dependent increase of the mean DPOAE amplitudes was observed with PTS treatment (P &lt; 0.05 for all). The Caspase-8 and Cytochrome-c protein expressions and the number of TUNEL-positive cells in the hair cells of the Corti organs of the DM rat group were significantly higher than those of the PTS treatment and control groups (DM &gt; DM + PTS10 &gt; DM + PTS20 &gt; DM + PTS40 &gt; Control; P &lt; 0.05 for all). PTS treatment also reduced cell apoptosis in a dose-dependent manner by increasing the mRNA expression of the anti-apoptosis BCL2 gene and by decreasing the mRNA expressions of both the pro-apoptosis BAX gene and its effector CASP-3 and the ratio of BAX/BCL-2 in a dose-dependent manner (P &lt; 0.05 compared to DM for all). PTS treatment significantly improved the metabolic parameters of the diabetic rats, such as body weight, blood glucose, serum insulin, and MDA levels, consistent with our other findings (P &lt; 0.05 compared to DM for all). PTS decreased the cochlear damage caused by diabetes, as confirmed by DPOAE, biochemical, histopathological, immunohistochemical, and molecular findings. This study reports the first in vivo findings to suggest that PTS may be a protective therapeutic agent against diabetes-induced ototoxicity.
DOI: 10.5281/zenodo.3866455
title: Evaluation set DCASE 2020 task 4 (for submissions)

description: This repo contains the dataset to download to submit results and be evaluated in task 4 of DCASE 2020. Please, check the submission package in order to follow the instruction to have a submission. *Note: some files are 5 mins long, so if your system is not suitable for this, make sure you aggegate the results.*
DOI: 10.5281/zenodo.3870662
title: Pterostilbene Protects Cochlea from Ototoxicity in Streptozotocin-Induced Diabetic Rats by Inhibiting Apoptosis

description: Diabetes mellitus (DM) causes ototoxicity by inducing oxidative stress, microangiopathy, and apoptosis in the cochlear sensory hair cells. The natural anti-oxidant pterostilbene (PTS) (trans-3,5-dimethoxy-4-hydroxystylbene) has been reported to relieve oxidative stress and apoptosis in DM, but its role in diabetic-induced ototoxicity is unclear. This study aimed to investigate the effects of dose-dependent PTS on the cochlear cells of streptozotocin (STZ)-induced diabetic rats. The study included 30 albino male Wistar rats that were randomized into five groups: non-diabetic control (Control), diabetic control (DM), and diabetic rats treated with intraperitoneal PTS at 10, 20, or 40 mg/kg/day during the four-week experimental period (DM + PTS10, DM + PTS20, and DM + PTS40). Distortion product otoacoustic emission (DPOAE) tests were performed at the beginning and end of the study. At the end of the experimental period, apoptosis in the rat cochlea was investigated using caspase-8, cytochrome-c, and terminal deoxyribonucleotidyl transferase-mediated dUTP-biotin end labeling (TUNEL). Quantitative real-time polymerase chain reaction was used to assess the mRNA expression levels of the following genes: CASP-3, BCL-associated X protein (BAX), and BCL-2. Body weight, blood glucose, serum insulin, and malondialdehyde (MDA) levels in the rat groups were evaluated. The mean DPOAE amplitude in the DM group was significantly lower than the means of the other groups (0.9–8 kHz; P &lt; 0.001 for all). A dose-dependent increase of the mean DPOAE amplitudes was observed with PTS treatment (P &lt; 0.05 for all). The Caspase-8 and Cytochrome-c protein expressions and the number of TUNEL-positive cells in the hair cells of the Corti organs of the DM rat group were significantly higher than those of the PTS treatment and control groups (DM &gt; DM + PTS10 &gt; DM + PTS20 &gt; DM + PTS40 &gt; Control; P &lt; 0.05 for all). PTS treatment also reduced cell apoptosis in a dose-dependent manner by increasing the mRNA expression of the anti-apoptosis BCL2 gene and by decreasing the mRNA expressions of both the pro-apoptosis BAX gene and its effector CASP-3 and the ratio of BAX/BCL-2 in a dose-dependent manner (P &lt; 0.05 compared to DM for all). PTS treatment significantly improved the metabolic parameters of the diabetic rats, such as body weight, blood glucose, serum insulin, and MDA levels, consistent with our other findings (P &lt; 0.05 compared to DM for all). PTS decreased the cochlear damage caused by diabetes, as confirmed by DPOAE, biochemical, histopathological, immunohistochemical, and molecular findings. This study reports the first in vivo findings to suggest that PTS may be a protective therapeutic agent against diabetes-induced ototoxicity.
DOI: 10.15468/qq2hmm
title: Studies on neotropical Phasmatodea XXII: Two new species of Taraxippus (Phasmatodea: Cladomorphinae: Hesperophasmatini) and the first record of the genus from Central America

description: This dataset contains the digitized treatments in Plazi based on the original journal article Conle, Oskar V., Hennemann, Frank H., Valero, Pablo (2020): Studies on neotropical Phasmatodea XXII: Two new species of Taraxippus (Phasmatodea: Cladomorphinae: Hesperophasmatini) and the first record of the genus from Central America. Journal of Orthoptera Research 29 (1): 101-114, DOI: http://dx.doi.org/10.3897/jor.29.51328, URL: http://dx.doi.org/10.3897/jor.29.51328
DOI: 10.7910/dvn/fdwvql/icka88
title: Source_Data_2000_2019_.csv

description: This table shows the dependence of some economically useful traits on diseases of cattle for the period from 2000 to 2019
DOI: 10.21227/zm0c-fd90
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 140+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.5281/zenodo.3866653
title: Model data repository of "How sediment thickness influences subduction dynamics and seismicity"

description: This repository provides the code and data to run the Seismo-Thermo-Mechanical model with a sediment thickness T<sub>sed</sub> of 4 km on a cluster using executables.
DOI: 10.5281/zenodo.3866654
title: Model data repository of "How sediment thickness influences subduction dynamics and seismicity"

description: This repository provides the code and data to run the Seismo-Thermo-Mechanical model with a sediment thickness T<sub>sed</sub> of 4 km on a cluster using executables.
DOI: 10.5523/bris.3dwflddsnkun32ghpq4zufxtl1
title: Integrated optical modulator at Cryogenic Temperatures
title: BTO-Cryo-Switch

description: This data set contains pre-processed measurements acquired on optical modulators at different temperatures. The data was used as part of a collaboration between IBM and the University of Bristol. Analysis on the data show a high electro-optic coefficient and &gt;20GHz modulation speeds at cryogenic temperature.
DOI: 10.5281/zenodo.3866538
title: Ooh Na Na

description: This is a gzipped three-column TSV file that has prefixes, identifiers, and names for lots of biomedical entities, drawing from the OBO Foundry, ontologies in the Ontology Lookup Service, and many other nomenclature consortia that just haven't made it to the prime-time of standardized goodness. Ultimate, this dataset helps answer the question: what's my name? It's really a lot of work to get this stuff, so I tried to make it easy. It was generated with the following code in the shell: <pre>pip install git+https://github.com/pyobo/pyobo.git obo ooh-na-na</pre>
description: The 1.1.0 version includes the addition of DrugBank, BFO, and Pfam.
DOI: 10.21227/7ss4-gs42
title: EnergyNow | IoT aplicada ao fomento da Indústria 4.0

description: A Indústria enfrenta desafios graves e fracassa sem competitividade. Atacando esta problemática, conferiu-se o oferecimento de maior eficiência a processos industriais para promover a produtividade, elevar a qualidade e impulsionar mudanças. A solução desenvolvida incluiu dispositivos com sensores não invasivos, simples de instalar, que contabilizam os itens sendo transportados em linhas de produção. De qualquer lugar e em tempo real, a plataforma conectada permite acesso a informações claras e confiáveis sobre a produtividade, mostram indicadores e métricas em gráficos com design intuitivo que aceleram a tomada de decisão. O profissional certo recebe alertas para resolver problemas específicos e algoritmos avançados apontam quando máquinas ou equipamentos possam interferir na produtividade. Acompanhando as tendências de digitalização de processos na manufatura avançada e da Indústria 4.0, o impacto compreende um mercado-alvo inicial de mais de seis mil fábricas; na região nordeste, o mercado possível tem mais de 75.000 fábricas; e o mercado disponível no Brasil soma mais de 600.000 fábricas. De fato, atendendo a um segmento que movimenta 907 bilhões de dólares no mundo. Com um modelo de acesso flexível, nas implantações, permite que seja possível incorporar evoluções contínuas dos serviços, com a adesão incluindo instalação dos dispositivos e treinamento especializado. A equipe dedicada tem ampla competência em uma variedade de metodologias de desenvolvimento de tecnologia, oportunamente, dispondo de engenheiros eletricistas e de produção, gerentes administrativos e de TI, arquitetos de nuvem, designer industrial, desenvolvedores full-stack, cientistas de dados especializados em inteligência artificial, além de consultores em produtividade. A proposição de valor do projeto tornou viável o fornecimento de uma solução de gerenciamento baseada em Internet das Coisas para impulsionar a produtividade, melhorar a competitividade e maximizar a eficiência da Indústria 4.0.
DOI: 10.5519/qd.rhpxru0z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4559599 records)
DOI: 10.21227/0cwe-vx36
title: EnergyNow | IoT aplicada ao fomento da Indústria 4.0

description: A Indústria enfrenta desafios graves e fracassa sem competitividade. Atacando esta problemática, conferiu-se o oferecimento de maior eficiência a processos industriais para promover a produtividade, elevar a qualidade e impulsionar mudanças. A solução desenvolvida incluiu dispositivos com sensores não invasivos, simples de instalar, que contabilizam os itens sendo transportados em linhas de produção. De qualquer lugar e em tempo real, a plataforma conectada permite acesso a informações claras e confiáveis sobre a produtividade, mostram indicadores e métricas em gráficos com design intuitivo que aceleram a tomada de decisão. O profissional certo recebe alertas para resolver problemas específicos e algoritmos avançados apontam quando máquinas ou equipamentos possam interferir na produtividade. Acompanhando as tendências de digitalização de processos na manufatura avançada e da Indústria 4.0, o impacto compreende um mercado-alvo inicial de mais de seis mil fábricas; na região nordeste, o mercado possível tem mais de 75.000 fábricas; e o mercado disponível no Brasil soma mais de 600.000 fábricas. De fato, atendendo a um segmento que movimenta 907 bilhões de dólares no mundo. Com um modelo de acesso flexível, nas implantações, permite que seja possível incorporar evoluções contínuas dos serviços, com a adesão incluindo instalação dos dispositivos e treinamento especializado. A equipe dedicada tem ampla competência em uma variedade de metodologias de desenvolvimento de tecnologia, oportunamente, dispondo de engenheiros eletricistas e de produção, gerentes administrativos e de TI, arquitetos de nuvem, designer industrial, desenvolvedores full-stack, cientistas de dados especializados em inteligência artificial, além de consultores em produtividade. A proposição de valor do projeto tornou viável o fornecimento de uma solução de gerenciamento baseada em Internet das Coisas para impulsionar a produtividade, melhorar a competitividade e maximizar a eficiência da Indústria 4.0.
DOI: 10.5281/zenodo.3870702
title: ANPERC-source/SEG_Annual: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)

description: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019) v1.0 This repository includes data for the words and phrases frequency of occurrence analysis "SEGgrams.sqlite" and the database "SEG_affiliations_data.sqlite" consisting of the industry companies and academia of different countries that presented their research during the Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.
DOI: 10.5281/zenodo.3870706
title: Household Dynamics in COVID times

description: This dataset is the result of an anonymous survey carried out during the COVID pandemic in Chile. We focus on household dynamics and the division of work in Chilean households. We also provide demographic information on respondents. If you wish to have the questionnaire (in Spanish) please email the authors
DOI: 10.5281/zenodo.3870410
title: Testing Data for PyMedPhys

description: Testing Data for PyMedPhys
DOI: 10.5281/zenodo.3870411
title: Testing Data for PyMedPhys

description: Testing Data for PyMedPhys
DOI: 10.5281/zenodo.3870431
title: Testing Data for PyMedPhys

description: Testing Data for PyMedPhys
DOI: 10.5281/zenodo.3870436
title: Testing Data for PyMedPhys

description: Testing Data for PyMedPhys
DOI: 10.5281/zenodo.3870705
title: Household Dynamics in COVID times

description: This dataset is the result of an anonymous survey carried out during the COVID pandemic in Chile. We focus on household dynamics and the division of work in Chilean households. We also provide demographic information on respondents. If you wish to have the questionnaire (in Spanish) please email the authors
DOI: 10.25919/5ed45737b2d98
title: Sentinel Sensors and Water Quality

description: Physiological data (such as heart rate, shell gape) of sets of oysters deployed at two marine sites in the D'Entrecasteaux Channel, Tasmania, Australia: Coningham (approximate lat/lon -43.0915, 147.3015 ), and Redcliffs (approximate lat/lon -43.3120,147.083). Water quality data (such as DO, Salinity, pH, Turbidity, Temp, Cond) for both Redcliffs and Coningham (also known as Tinderbox) site. Sensors were deployed on 9th Nov 2018 at Coningham, and 18th Dec at Redcliffs. The dateset contains the measured water quality and oyster's physiological data up to 15 March 2019. At Redcliffs, there were four functional biosensors placed at the depth of 0.5, 1.5, 5, and 7 meters to measure the oyster's physiological data. On the other hand, there were five biosensors deployed at Coningham at the depth of 0.5, 1.5, 3.5, 5, and 10 meters. The water quality at each site was measured using a YSI EXO2 multiparameter sonde at 5 m depth.
DOI: 10.5281/zenodo.3866144
title: JASA-Reverberation

description: <em><strong>Automatic classification of audio files based on the perceived level of reverberation</strong></em> This space contains all the files which were used for training and testing of the automatic prediction of the perceived level of reverberation. Please refer to the GitHub page of the author to access the implementation codes (in both Python and Matlab) for this modelling/classification task!
DOI: 10.5281/zenodo.3870607
title: Wikidata Dump P131

description: RDF dump of wikidata produced with wdumps. located in the administrative territorial entity<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3870608
title: Wikidata Dump P131

description: RDF dump of wikidata produced with wdumps. located in the administrative territorial entity<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.25345/c50991
title: MassIVE MSV000085518 - Prolyl isomerase (PIN1) Mouse Proteomics
title: Proteomics of peptidyl prolyl cis trans isomerase (PIN1) knockout in mouse
DOI: 10.5281/zenodo.3870743
title: Statistical methodologies applied to BCN02 clinical trial - Excel raw data

description: The Excel files correspond to the raw ELISpot assay data regarding the BCN02 clinical trial.
DOI: 10.5281/zenodo.3870744
title: Statistical methodologies applied to BCN02 clinical trial - Excel raw data

description: The Excel files correspond to the raw ELISpot assay data regarding the BCN02 clinical trial.
DOI: 10.5281/zenodo.3870482
title: Otros Libros

description: Otros Libros
DOI: 10.5519/qd.6t5vc21r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (751923 records)
DOI: 10.5281/zenodo.3836041
title: UM experiments for "Continuous Structural Parameterization: A proposed method for representing different model parameterizations within one structure demonstrated for atmospheric convection"

description: NetCDF4 files containing UM vn 11.1 data used in Lambert et al., 2020, Continuous Structural Parameterization: A proposed method for representing different model parameterizations within one structure demonstrated for atmospheric convection, submitted to Journal of Advances in Modeling Earth Systems. Key: "summaryday.nc" contain eleven months of data in each year, excluding either February or March. "summarydat2.nc" contain one month of data in each year, either February or March. "last5" indicates that for this simulation only the last five years of data are available. "llcs" are simulations with Lambert-Lewis. "gr" are simulations with Gregory-Rowntree. "llcsemu" are simulations with the Lambert-Lewis emulator. "gremu" are simulations with the Gregory-Rowntree emulator. "llcsemu_llcs" is the test simulation wherein the LLCS emulator is run equatorward of 30 degrees and the original LLCS convection scheme is run poleward of 30 degrees. "4xco2" have 4 x pre-industrial atmospheric carbon dioxide concentration. (Others have 1 x pre-industrial atmospheric carbon dioxide concentration.) "rh0.7" and "rh0.9" have LLCS RHCRIT set to 70% and 90% respectively. "30day" are one month simulations for July for which daily output are available. Other data are monthly mean only.