cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7906766
title: Asymptotic efficient semiparametric empirical bayes estimation of multinomial responses

description: In this paper, Bayesian statistical inference for estimating of parameters in a Semi-parametric Multinomial Logit Models with repeated experiments is developed. Our method is based on empirical Bayes estimation. The results are shown, estimators are consistent and asymptotically efficient. Such approach allows us to take a new accurate theory using reliable and quick iteration algorithm to compute the empirical Bayes estimate. Results of real examples show that the proposed method is very competitive in terms of estimation accuracy and speed of computational estimation methods.
DOI: 10.5281/zenodo.4416123
title: Data set of the article: Using Machine Learning for Web Page Classification in Search Engine Optimization

description: Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization" Abstract of the article: This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research.
DOI: 10.5281/zenodo.4416122
title: Data set of the article: Using Machine Learning for Web Page Classification in Search Engine Optimization

description: Data of investigation published in the article: "Using Machine Learning for Web Page Classification in Search Engine Optimization" Abstract of the article: This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) recommendations. In this study, classifiers were built and trained to classify an unknown sample (web page) into one of the three predefined classes and to identify important factors that affect the degree of page adjustment. The data in the training set are manually labeled by domain experts. The experimental results show that machine learning can be used for predicting the degree of adjustment of web pages to the SEO recommendations—classifier accuracy ranges from 54.59% to 69.67%, which is higher than the baseline accuracy of classification of samples in the majority class (48.83%). Practical significance of the proposed approach is in providing the core for building software agents and expert systems to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. Also, the results of this study contribute to the field of detecting optimal values of ranking factors that search engines use to rank web pages. Experiments in this paper suggest that important factors to be taken into consideration when preparing a web page are page title, meta description, H1 tag (heading), and body text—which is aligned with the findings of previous research. Another result of this research is a new data set of manually labeled web pages that can be used in further research.
DOI: 10.15784/601420
title: High-resolution nearshore benthic seawater temperature from around McMurdo Sound, Antarctica (2017-2019)

description: Nearshore benthic seawater temperature (plus pressure and salinity for some sites) in McMurdo Sound, Antarctica for 2017-2019. Data includes those from standalone temperature (sometimes pressure) for several sites around McMurdo Sound as well as data from the cabled McMurdo Oceanographic Observatory moored conductivity-temperature-depth (CTD) sensor at the McMurdo Station seawater intake jetty. Data are from high precision SeaBird sensors (SBE56, SBE39, SBE19Plus and SBE37), with sample intervals from 90 sec to 15 min, depending on site. Sampled sites include Explorer's Cove at New Harbor, Cape Evans, Granite Harbor, and the McMurdo Station jetty. All sensors were deployed near or on the benthos at 20-25 m deep, in typical nearshore benthic fish and invertebrate habitat.
DOI: 10.15784/601416
title: Long-term broadband underwater acoustic recordings from McMurdo Sound, Antarctica (2017-2019)

description: Broadband underwater acoustic recordings from the McMurdo Oceanographic Observatory mooring near the seaward terminus of the McMurdo Station seawater intake jetty. An omnidirectional Ocean Sonics icListen hydrophone (SB2-ETH, SN 1713) recorded continuously at 512 kilosamples/second (256 kHz Nyquist frequency; 24 bit) for 2 years. The hydrophone was mounted vertically on a steel strut (insulated with rubber sheet) at about 70 cm above the mud/gravel seabed at 21m deep, with the sloping 45° rubble face of the jetty just behind the hydrophone. Temporal coverage is &gt;90%, with gaps and truncated files arising due to network and power outages and software bugs. The audio recordings are 10 minute WAV files, compressed using the lossless FLAC code (Free Lossless Audio Codec, xiph.org; about 33MB of data/minute compressed; 100MB/min uncompressed). The hydrophone was under thick (to 3 m) sea ice cover for the majority of the dataset. The majority of the recorded biological sounds were produced by Weddell seals. Orca were present intermittently (~10 days total) in January-March in both summers. Known non-biological sounds include irregular low-intensity, broad-spectrum clicks and cracks from the sea ice cover, occasional wind noise, a 1.5-s gurgle with components to 200kHz every 90s from the CTD’s pump, a broad-spectrum mechanical sound for 3 min every 4 h from the observatory's underwater camera cleaning system, low-intensity whines (about 18, 58, 83, and 130 kHz, though variable over the dataset) thought to be from the station seawater pumps (&gt;100 m away within the jetty’s well casing), and intermittent noises from tracked-vehicles and helicopters (September–February), SCUBA divers (October–December), and ships (January). Given hosting limitations, only every 6th file (roughly 10min/hour) has been archived here. Additional data can be obtained by contacting the primary author of the dataset, who will maintain it for as long as possible. Audio spectrogram images (PNGs) at three frequency ranges (three stacked panels per image, upper limits of 2.5, 25, and 256 kHz) from the entire dataset (all data, not subsampled) are also archived separately.
DOI: 10.15784/601417
title: Long-term underwater images from around a single mooring site in McMurdo Sound, Antarctica (2017-2019)

description: Long-term images taken by the camera from the McMurdo Oceanographic Observatory mooring in McMurdo Sound, Antarctica during its 2-year deployment (2017-2019). The mooring was situated at the seawater terminus of the McMurdo Station seawater intake jetty at 21 m deep, typically under thick sea ice cover. The automated 360° pan-tilt-zoom (ptz) camera, inside of an air-filled self-cleaning dome, was programmed to move to 42 ptz "waypoints" every hour and take a still 1920x1080 JPG image for archiving. Lights, oriented in one direction only, illuminated a rock/rubble slope for much of each winter, when there was no natural illumination. The camera was situated on a concrete block, which elevated the camera about 1m off of the seabed. Motile and sessile benthic biota, including notothenioid fishes, anemones, pycnogonids, asteroids, soft-corals, sponges, and nudibranchs are commonly seen in the images. Some ptz waypoints survey the water column and underside of the sea ice, capturing also the presence of larval/juvenile fishes and other plankton/nekton in the water column. Maximum intervals between subsequent images from the same ptz waypoint were about 1 hour, though many waypoints were captured at somewhat higher frequency. Interval images, taken at 5-min intervals irrespective of camera orientation, were also captured. Images are occasionally obscured/impacted by the camera dome's wiper, darkness, low visibility, minor fouling of the camera dome, and out-of-focus lens elements.
DOI: 10.5281/zenodo.4416105
title: Dataset: Species presence, trait and philogeny database. Data from: Shift from trait convergence to divergence along old field succession. Journal of Vegetation Science.

description: This dataset was use in the manuscript "Shift from trait convergence to divergence along old field succession" publish at Journal of Vegetation Science. It contains the data of species presence at three different plots and species trait values (SLA, LDMC, height, seed weight and Phylogeny). We show that at the initial stage of succession, there is a scale-invariant pattern of trait convergence. On the contrary, in the late and intermediate stages of succession we observed that trait divergence became frequent at smaller grains and extents. The trend along the chronosequence is consistent with the theoretical hypothesis that predicts a shift from convergence to divergence along succession.
DOI: 10.5281/zenodo.4416104
title: Dataset: Species presence, trait and philogeny database. Data from: Shift from trait convergence to divergence along old field succession. Journal of Vegetation Science.

description: This dataset was use in the manuscript "Shift from trait convergence to divergence along old field succession" publish at Journal of Vegetation Science. It contains the data of species presence at three different plots and species trait values (SLA, LDMC, height, seed weight and Phylogeny). We show that at the initial stage of succession, there is a scale-invariant pattern of trait convergence. On the contrary, in the late and intermediate stages of succession we observed that trait divergence became frequent at smaller grains and extents. The trend along the chronosequence is consistent with the theoretical hypothesis that predicts a shift from convergence to divergence along succession.
DOI: 10.6084/m9.figshare.13518899
title: Hamooh et al 2020 - Experimental data

description: Biochemical and GCMS data used in manuscript preparation.<br>Experiments conducted, data collection and analysis by Farooq Abdul Sattar.<br>Additional analysis and presentation by Gordon Wellman.<br>Supervision by Bahget Talat Hamooh and Magdi Ali Ahmed Mousa.
DOI: 10.6084/m9.figshare.13518899.v1
title: Hamooh et al 2020 - Experimental data

description: Biochemical and GCMS data used in manuscript preparation.<br>Experiments conducted, data collection and analysis by Farooq Abdul Sattar.<br>Additional analysis and presentation by Gordon Wellman.<br>Supervision by Bahget Talat Hamooh and Magdi Ali Ahmed Mousa.
DOI: 10.5281/zenodo.4414473
title: WSB fa and gtf files (with human APP/PS1 genes)

description: WSB_EiJ with human APP/PS1 genes
DOI: 10.5281/zenodo.4414472
title: WSB fa and gtf files (with human APP/PS1 genes)

description: WSB_EiJ with human APP/PS1 genes
DOI: 10.6084/m9.figshare.13519088
title: Indonesia data

description: This data contains spatiotemporal data related to Indonesia.
DOI: 10.21429/ds9g-qv84
title: Interviews with participants in collaborative climate research projects in the SW CASC region 2016-2018

description: The dataset consists of transcriptions of interviews conducted with scientists and stakeholders who were involved in collaborative climate research projects funded by the Southwest Climate Adaptation Science Center between 2014 and 2017. The participants were asked to reflect upon the engagement activities during the projects and provide any examples of use of the research evidence that emerged from the projects. The transcriptions have been stripped of any and all identifiable information, as is standard ethical practice.
DOI: 10.23645/epacomptox.5352997.v2
title: The Chemical and Products Database (CPDat) MySQL Data File

description: Quantitative data on product chemical composition is a necessary parameter for characterizing near-field exposure. This data set comprises reported and predicted information on &gt;75,000 chemicals contained in &gt;15,000 consumer products. The data’s primary intended use is for exposure, risk, and safety assessments. The data set includes specific products with quantitative or qualitative ingredient information, which has been publicly disclosed through material safety data sheets (MSDS) and ingredient lists. A single product category from a refined and harmonized set of categories has been assigned to each product. The data set also contains information on the functional role of chemicals in products, which can inform predictions of the concentrations in which they occur. These data will be useful to exposure and risk assessors evaluating chemical and product safety. The data set presented here is in the form of a MySQL relational database, which mimics CPDat data available under the ‘Exposure’ tab of the CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard) as of August 2017.
DOI: 10.21223/qeqsq6/6cmlrm
title: PTYield122017_HUANCAYO-QUILCAS.tab

description: :unav
DOI: 10.21223/qeqsq6/t7inci
title: PTYield072015_CIPSRM-1_Exp1.tab

description: :unav
DOI: 10.21223/qeqsq6/rts8rh
title: PTYield072015_CIPSRM-1_Exp3.tab

description: :unav
DOI: 10.21223/qeqsq6/k9yzkw
title: PTLate_blight102017_OXAPMP.tab

description: :unav
DOI: 10.21223/qeqsq6/yjr3cm
title: PTYield072015_CIPSRM-1_Exp5.tab

description: :unav
DOI: 10.25345/c5jj68
title: MassIVE MSV000086656 - Formation of an active epigenetic mark and its recycling is mediated by cell cycle-specific RNAs
title: Analyses of the levels of the replacement histone H2A.Z and its acetylation levels in the early part of the S phase at the c-MYC locus.
DOI: 10.18112/openneuro.ds003456.v1.0.0
title: ThreeArmedBandit
DOI: 10.34740/kaggle/dsv/1807936
title: reddit_AVexchange_audio_gear_selling_price
DOI: 10.5063/h41ptw
title: Pollination visitation to annuals and shrubs in the Mojave Desert, 2015 and 2016

description: Data was collected as a test of the magnet hypothesis and pollinator facilitation. The effect of an animal-pollinated shrub (Larrea tridentata) and a wind-pollinated shrub (Ambrosia dumosa) on the pollination of an annual phytometer species Malacothrix glabrata. Specifically, pollinator visitation and duration of visit were recorded using cameras. Additionally, the reciprocal effect of the presence of annuals on the pollination of Larrea tridentata was also tested. Pollinator visitation and duration were recorded in-situ by two researchers.
DOI: 10.6084/m9.figshare.13393360
title: BWEventClips_pascal

description: Beaked Whale Acoustic Events from NOAA's PASCAL 2016 Survey. Please see project for additional information. <br>Each wav filename includes: "Event_PASCAL" - to identify that these are events from the PASCAL Survey"NumberLetter" - to identify the drift # and SD Card # (to identify which instrument this event came from)"OE#_N" to identify which event number this wav file refers to (some events were subdivided into parts if they were &gt;120s in length)"CH1" identifies which channel on the instrument was recorded here (can be 1 or 2 channels)"YYYYMMDDHHmmss" is the date/time stamp for the start of this recording"_###" refers to millisecond time<br>For more information related to these data, please see the Project "Beaked Whale Acoustic Events from Drifting Acoustic Recordings during NOAA's PASCAL 2016 Survey" related to this dataset.<br><br><br>
DOI: 10.6084/m9.figshare.13393360.v1
title: BWEventClips_pascal

description: Beaked Whale Acoustic Events from NOAA's PASCAL 2016 Survey. Please see project for additional information. <br>Each wav filename includes: "Event_PASCAL" - to identify that these are events from the PASCAL Survey"NumberLetter" - to identify the drift # and SD Card # (to identify which instrument this event came from)"OE#_N" to identify which event number this wav file refers to (some events were subdivided into parts if they were &gt;120s in length)"CH1" identifies which channel on the instrument was recorded here (can be 1 or 2 channels)"YYYYMMDDHHmmss" is the date/time stamp for the start of this recording"_###" refers to millisecond time<br>For more information related to these data, please see the Project "Beaked Whale Acoustic Events from Drifting Acoustic Recordings during NOAA's PASCAL 2016 Survey" related to this dataset.<br><br><br>
DOI: 10.5066/p97cghzh
title: Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data

description: This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test case for temperature prediction using deep learning methods. The associated manuscript explores the value of including stream discharge as a predictor in the temperature models, including the value of predicted discharge from a separate model when no discharge measurements are available. The data are organized into these items: Spatial Information - Locations of the 118 monitoring sites used in this study Observations - Water temperature observations for the 118 sites used in this study Model Inputs - Model inputs, including basin attributes, weather drivers, and discharge Models - Code and configurations for the stream temperature models Model Predictions - Predictions of stream water temperature Model Evaluation - Performance metrics for each stream temperature model This research was funded by the Integrated Water Prediction Program at the US Geological Survey.
DOI: 10.15784/601418
title: Shackleton Glacier region soil water-soluble geochemical data

description: During the 2017-2018 austral summer, 220 surface soil samples (~top 5 cm) were collected from 11 distinct ice-free areas (Roberts Massif, Schroeder Hill, Mt. Augustana, Bennett Platform, Mt. Heekin, Thanksgiving Valley, Taylor Nunatak, Mt. Franke, Mt. Wasko, Nilsen Peak, and Mt. Speed) along the Shackleton Glacier. Dried soils were leached at a 1:5 soil to DI water ratio, and the leachate was filtered through 0.4 µm Nucleopore membrane filters. The leachate was analyzed for anions (F-, Cl-, Br-, and SO42-) which were measured on a Dionex ICS-2100 ion chromatograph, cations (K+, Na+, Ca2+, Mg2+, and Sr2+) which were measured on a PerkinElmer Optima 8300 Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES), and nutrients (NO3- + NO2-, PO43-, H4SiO4, and NH3) which were measured on a Skalar San++ Automated Wet Chemistry Analyzer at The Ohio State University. Perchlorate (ClO4-) and chlorate (ClO3-) were measured using an ion chromatograph-tandem mass spectrometry technique (IC-MS/MS) at Texas Tech University. Accuracy was typically better than 5% for all major anions, cations, and nutrients, as determined by the NIST 1643e external reference standard and the 2015 USGS interlaboratory calibration standard (M-216), and better than 10% for perchlorate and chlorate, as determined by spike recoveries.
DOI: 10.18112/openneuro.ds003456.v1.1.0
title: ThreeArmedBandit
DOI: 10.6084/m9.figshare.13271579
title: ghDATA.numbers

description: Comparative Analysis of Kidney Stone Composition in Patients from Ghana and South Africa: Case Study of Kidney Stones from Accra and Cape Town<b></b>
DOI: 10.6084/m9.figshare.13271579.v1
title: ghDATA.numbers

description: Comparative Analysis of Kidney Stone Composition in Patients from Ghana and South Africa: Case Study of Kidney Stones from Accra and Cape Town<b></b>
DOI: 10.15784/601419
title: Shackleton Glacier region water-soluble salt isotopes

description: Soil samples were collected from the Shackleton Glacier region, located in the Queen Maud Mountains during the 2017-2018 austral summer. A subset of 27 samples were analyzed for stable isotopes of S, N, C, and O in nitrate, sulfate, and (bi)carbonate. ). δ15N-NO3 values ranged from -47.8 to 20.4‰ and, while all Δ17O-NO3 values are positive, they ranged from 15.7 to 45.9‰. δ34S-SO4 and δ18O-SO4 values ranged from 12.5 and 17.9‰ and -14.5 to -7.1‰, respectively. Total inorganic carbon isotopes ((bi)carbonate) in bulk soil samples ranged from 0.2 to 8.5‰ for δ13C and -38.8 to -9.6‰ for δ18O.
DOI: 10.6073/pasta/e4f0ece2e1eb5c6e4e5fa42950a3007c
title: ASD02 Stream discharge measured at the flumes on watershed N04D at Konza Prairie

description: Stream discharge is measured on a catchment (N04D), with 4-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
DOI: 10.18112/openneuro.ds003458.v1.0.0
title: ThreeArmedBandit
DOI: 10.6073/pasta/0fd749d9504328f5af710f7447b744b4
title: ASD04 Stream discharge measured at the flumes on watershed N20B at Konza Prairie

description: Stream discharge is measured on a catchment (N20B), with 20-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
DOI: 10.6084/m9.figshare.3761562.v1734
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6073/pasta/a539220294fc4c5fcc784b113363df2a
title: ASD05 Stream discharge measured at the flumes on watershed N01B at Konza Prairie

description: Stream discharge is measured on a catchment (N01B), with 1-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
DOI: 10.18112/openneuro.ds003458.v1.1.0
title: ThreeArmedBandit
DOI: 10.15468/7p6nuf
title: A new species of dartfish of the genus Ptereleotris (Teleostei: Gobiidae) from the East Coast of India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kodeeswaran, P., Praveenraj, J. (2020): A new species of dartfish of the genus Ptereleotris (Teleostei: Gobiidae) from the East Coast of India. Zootaxa 4861 (3): 423-428, DOI: https://doi.org/10.11646/zootaxa.4861.3.8
DOI: 10.6073/pasta/582df2dbe4f23312d0b9483a54b336a5
title: ASD06 Stream discharge measured at the flumes on watershed N02B at Konza Prairie

description: Stream discharge is measured on a catchment (N02B), with 2-year fire return interval and grazed by bison since 1992. Measurements are taken at 5 minute intervals at a triangular throated flume. The prairie streams are 3rd-order and are intermittent. Daily and stormflow discharge records are available.
DOI: 10.5519/qd.ti0x4cal
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (32 records)