cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5688916
title: FLO1K - Mean Annual Flow Time Series 1960-2015

description: NetCDF metadata:<br> netcdf FLO1K.ts.1960.2015.qav {<br> dimensions:<br> time = UNLIMITED ; // (56 currently)<br> lat = 21600 ;<br> lon = 43200 ;<br> variables:<br> double lat(lat) ;<br> lat:standard_name = "latitude" ;<br> lat:long_name = "latitude" ;<br> lat:units = "degrees_north" ;<br> double lon(lon) ;<br> lon:standard_name = "longitude" ;<br> lon:long_name = "longitude" ;<br> lon:units = "degrees_east" ;<br> float qav(time, lat, lon) ;<br> qav:_FillValue = -1.f ;<br> qav:grid_mapping = "crs" ;<br> qav:long_name = "mean annual streamflow" ;<br> qav:description = "mean over the 12 mean monthly streamflow values of the year" ;<br> qav:units = "m3/s" ;<br> float time(time) ;<br> time:units = "days since 1900-01-01 00:00:00" ;<br> time:standard_name = "time" ;<br> time:calendar = "gregorian" ;<br> int crs ;<br> crs:long_name = "Lon/Lat Coords in WGS84" ;<br> crs:grid_mapping_name = "latitude_longitude" ;<br> crs:longitude_of_prime_meridian = 0. ;<br> crs:semi_major_axis = 6378137. ;<br> crs:inverse_flattening = 298.257223563 ;<br> <br> // global attributes:<br> :Conventions = "CF-1.6" ;<br> :title = "FLO1K: global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015" ;<br> :institution = "Radboud University & PBL Netherlands Environmental Assessment Agency" ;<br> :source = "FLO1K v1.0" ;<br> :scenario = "Historical run 1960-2015, yearly timesteps" ;<br> :comment = "" ;<br> :references = "For documentation, see Barbarossa et al. (Sci. Data, 2018)" ;<br> :disclaimer = "This data was produced with the utmost care, based on methods described in the above article. Please cite the above article when using any part of this data in your work." ;<br> :history = "Created on 2017-12-07" ;<br> }
DOI: 10.6084/m9.figshare.5688850
title: Results of different combiners

description: This fileset contains the results of different RNA-Seq combiners, including Mikado, on the different experiments performed for the manuscript.<br><br>- Combiners_real_data.zip: results of different combiners for different species using real data, as described in the manuscript.<br>- Combiners_simulated_data.zip: results of different combiners for different species using simulated data, as described in the manuscript.<br>- Mikado_Multiple_Isoform_Fractions.zip: results of using Mikado on the output of CLASS2 and Stringtie after varying their minimum isoform fraction setting, as described in the manuscript.<br>- Combiners_multiple_samples.zip: results of different combiners and selectors on multiple RNA-Seq assemblies performed with the same tool, on twelve different samples of A. thaliana. See manuscript for details.<br>- Multiple_samples_MAKER.zip: results of running MAKER on the assemblies present in the ZIP above.<br>- Combiners_pacbio.zip: results of Mikado, naive combination and EvidentialGene on mixtures of Illumina and PacBio human data. See manuscript for details.<br>
DOI: 10.6084/m9.figshare.5688850.v1
title: Results of different combiners

description: This fileset contains the results of different RNA-Seq combiners, including Mikado, on the different experiments performed for the manuscript.<br><br>- Combiners_real_data.zip: results of different combiners for different species using real data, as described in the manuscript.<br>- Combiners_simulated_data.zip: results of different combiners for different species using simulated data, as described in the manuscript.<br>- Mikado_Multiple_Isoform_Fractions.zip: results of using Mikado on the output of CLASS2 and Stringtie after varying their minimum isoform fraction setting, as described in the manuscript.<br>- Combiners_multiple_samples.zip: results of different combiners and selectors on multiple RNA-Seq assemblies performed with the same tool, on twelve different samples of A. thaliana. See manuscript for details.<br>- Multiple_samples_MAKER.zip: results of running MAKER on the assemblies present in the ZIP above.<br>- Combiners_pacbio.zip: results of Mikado, naive combination and EvidentialGene on mixtures of Illumina and PacBio human data. See manuscript for details.<br>
DOI: 10.6084/m9.figshare.5688826
title: Photinus pyralis sighting records (Excel spreadsheet)

description: Three sources of data were used to produce the presented range map of Photinus pyralis: (i) Published and unpublished sightings of Photinus pyralis at county level resolution, provided by Dr. J. Lloyd (University of Florida) and Dr. K. Stanger-Hall (University of Georgia), (ii) GPS coordinates of P. pyralis sightings, obtained by targeted e-mail surveys to firefly field biologists, (iii) citizen scientist reports of P. pyralis through the iNaturalist platform. iNaturalist sightings were manually curated to only include reports which could be unambiguously identified as P. pyralis from the photos, and also that also included GPS geotagging to &lt;100 m accuracy.
DOI: 10.6084/m9.figshare.5688826.v1
title: Photinus pyralis sighting records (Excel spreadsheet)

description: Three sources of data were used to produce the presented range map of Photinus pyralis: (i) Published and unpublished sightings of Photinus pyralis at county level resolution, provided by Dr. J. Lloyd (University of Florida) and Dr. K. Stanger-Hall (University of Georgia), (ii) GPS coordinates of P. pyralis sightings, obtained by targeted e-mail surveys to firefly field biologists, (iii) citizen scientist reports of P. pyralis through the iNaturalist platform. iNaturalist sightings were manually curated to only include reports which could be unambiguously identified as P. pyralis from the photos, and also that also included GPS geotagging to &lt;100 m accuracy.
DOI: 10.6084/m9.figshare.5688811
title: Twitter Death Hoaxes dataset

description: This is a dataset of death reports collected from Twitter between 1st January, 2012 and 31st December, 2014. It was collected by tracking the keyword 'RIP', and matching those tweets in which a name is mentioned next to RIP. Matching names were identified by using Wikidata as a database of names. For more details, please refer to the paper:https://arxiv.org/abs/1801.07311<br><br>The dataset contains 4,007 death reports, of which 2,301 are real deaths, 1,092 are commemorations and 614 are fake deaths.<br>Along with this dataset, the word embeddings models used in this paper are also provided.<br>This dataset is released in accordance with Twitter's TOS, which allows sharing of tweet IDs and are intended for non-commercial research.<br>Note: Twitter's developer policy doesn't allow sharing more than 1,500,000 tweet IDs (https://dev.twitter.com/overview/terms/policy#updated-policy), unless the author is affiliated with an academic institution (which is my case) and tweet IDs are solely used for non-commercial purposes (https://twittercommunity.com/t/policy-update-clarification-research-use-cases/87566). Hence, by downloading these datasets you agree that you will not use it for commercial purposes.
DOI: 10.6084/m9.figshare.5688811.v1
title: Twitter Death Hoaxes dataset

description: This is a dataset of death reports collected from Twitter between 1st January, 2012 and 31st December, 2014. It was collected by tracking the keyword 'RIP', and matching those tweets in which a name is mentioned next to RIP. Matching names were identified by using Wikidata as a database of names. For more details, please refer to the paper (a link to the paper will be added soon).<br>The dataset contains 4,007 death reports, of which 2,301 are real deaths, 1,092 are commemorations and 614 are fake deaths.<br>Along with this dataset, the word embeddings models used in this paper will also be provided (to be added soon).<br>This dataset is released in accordance with Twitter's TOS, which allows sharing of tweet IDs and are intended for non-commercial research.<br>Note: Twitter's developer policy doesn't allow sharing more than 1,500,000 tweet IDs (https://dev.twitter.com/overview/terms/policy#updated-policy), unless the author is affiliated with an academic institution (which is my case) and tweet IDs are solely used for non-commercial purposes (https://twittercommunity.com/t/policy-update-clarification-research-use-cases/87566). Hence, by downloading these datasets you agree that you will not use it for commercial purposes.
DOI: 10.6084/m9.figshare.5688811.v2
title: Twitter Death Hoaxes dataset

description: This is a dataset of death reports collected from Twitter between 1st January, 2012 and 31st December, 2014. It was collected by tracking the keyword 'RIP', and matching those tweets in which a name is mentioned next to RIP. Matching names were identified by using Wikidata as a database of names. For more details, please refer to the paper:https://arxiv.org/abs/1801.07311<br><br>The dataset contains 4,007 death reports, of which 2,301 are real deaths, 1,092 are commemorations and 614 are fake deaths.<br>Along with this dataset, the word embeddings models used in this paper are also provided.<br>This dataset is released in accordance with Twitter's TOS, which allows sharing of tweet IDs and are intended for non-commercial research.<br>Note: Twitter's developer policy doesn't allow sharing more than 1,500,000 tweet IDs (https://dev.twitter.com/overview/terms/policy#updated-policy), unless the author is affiliated with an academic institution (which is my case) and tweet IDs are solely used for non-commercial purposes (https://twittercommunity.com/t/policy-update-clarification-research-use-cases/87566). Hence, by downloading these datasets you agree that you will not use it for commercial purposes.
DOI: 10.6084/m9.figshare.5688796
title: Different responses of spontaneous and stimulus‐related alpha activity to ambient luminance changes

description: Alpha oscillations are particularly important in determining our percepts and have been implicated in fundamental brain functions. Oscillatory activity can be spontaneous or stimulus-related. Furthermore, stimulus-related responses can be phase- or non-phase-locked to the stimulus. Non-phase-locked (induced) activity can be identified as the average amplitude changes in response to a stimulation, while phase-locked activity can be measured via reverse correlation techniques (echo function). However, the mechanisms and the functional roles of these oscillations are far from clear. Here, we investigated the effect of ambient luminance changes, known to dramatically modulate neural oscillations, on spontaneous and stimulus-related alpha. We investigated the effect of ambient luminance on EEG alpha during spontaneous human brain activity at rest (experiment 1) and during visual stimulation (experiment 2). Results show that spontaneous alpha amplitude increased by decreasing ambient-luminance, while alpha frequency remained unaffected. In the second experiment, we found that under low-luminance viewing the stimulus-related alpha amplitude was lower, and its frequency was slightly faster. These effects were evident in the phase-locked part of the alpha response (echo function), but weaker or absent in the induced (non-phase-locked) alpha responses. Finally, we explored the possible behavioral correlates of these modulations in a monocular critical flicker frequency task (experiment 3), finding that dark adaptation in the left eye decreased the temporal threshold of the right eye. Overall, we found that ambient luminance changes impact differently on spontaneous and stimulus-related alpha expression. We suggest that stimulus-related alpha activity is crucial in determining human temporal segmentation abilities.<br>
DOI: 10.6084/m9.figshare.5688796.v1
title: Different responses of spontaneous and stimulus‐related alpha activity to ambient luminance changes

description: Alpha oscillations are particularly important in determining our percepts and have been implicated in fundamental brain functions. Oscillatory activity can be spontaneous or stimulus-related. Furthermore, stimulus-related responses can be phase- or non-phase-locked to the stimulus. Non-phase-locked (induced) activity can be identified as the average amplitude changes in response to a stimulation, while phase-locked activity can be measured via reverse correlation techniques (echo function). However, the mechanisms and the functional roles of these oscillations are far from clear. Here, we investigated the effect of ambient luminance changes, known to dramatically modulate neural oscillations, on spontaneous and stimulus-related alpha. We investigated the effect of ambient luminance on EEG alpha during spontaneous human brain activity at rest (experiment 1) and during visual stimulation (experiment 2). Results show that spontaneous alpha amplitude increased by decreasing ambient-luminance, while alpha frequency remained unaffected. In the second experiment, we found that under low-luminance viewing the stimulus-related alpha amplitude was lower, and its frequency was slightly faster. These effects were evident in the phase-locked part of the alpha response (echo function), but weaker or absent in the induced (non-phase-locked) alpha responses. Finally, we explored the possible behavioral correlates of these modulations in a monocular critical flicker frequency task (experiment 3), finding that dark adaptation in the left eye decreased the temporal threshold of the right eye. Overall, we found that ambient luminance changes impact differently on spontaneous and stimulus-related alpha expression. We suggest that stimulus-related alpha activity is crucial in determining human temporal segmentation abilities.<br>
DOI: 10.6084/m9.figshare.5688727
title: DDX5/p68 associated lncRNA <i>LOC284454</i> is differentially expressed in human cancers and modulates gene expression

description: Long non-coding RNAs (lncRNAs) are emerging as important players in regulation of gene expression in higher eukaryotes. DDX5/p68 RNA helicase protein which is involved in splicing of precursor mRNAs also interacts with lncRNAs like, SRA and <i>mrhl</i>, to modulate gene expression. We performed RIP-seq analysis in HEK293T cells to identify the complete repertoire of DDX5/p68 interacting transcripts including 73 single exonic (SE) lncRNAs. The <i>LOC284454</i> lncRNA is the second top hit of the list of SE lncRNAs which we have characterized in detail for its molecular features and cellular functions. The RNA is located in the same primary transcript harboring miR-23a∼27a∼24-2 cluster. <i>LOC284454</i> is a stable, nuclear restricted and chromatin associated lncRNA. The sequence is conserved only in primates among 26 different species and is expressed in multiple human tissues. Expression of <i>LOC284454</i> is significantly reduced in breast, prostate, uterus and kidney cancer and also in breast cancer cell lines (MCF7 and T47D). Global gene expression studies upon loss and gain of function of <i>LOC284454</i> revealed perturbation of genes related to cancer-related pathways. Focal adhesion and cell migration pathway genes are downregulated under overexpression condition, and these genes are significantly upregulated in breast cancer cell lines as well as breast cancer tissue samples suggesting a functional role of <i>LOC284454</i> lncRNA in breast cancer pathobiology.
DOI: 10.6084/m9.figshare.5688727.v1
title: DDX5/p68 associated lncRNA <i>LOC284454</i> is differentially expressed in human cancers and modulates gene expression

description: Long non-coding RNAs (lncRNAs) are emerging as important players in regulation of gene expression in higher eukaryotes. DDX5/p68 RNA helicase protein which is involved in splicing of precursor mRNAs also interacts with lncRNAs like, SRA and <i>mrhl</i>, to modulate gene expression. We performed RIP-seq analysis in HEK293T cells to identify the complete repertoire of DDX5/p68 interacting transcripts including 73 single exonic (SE) lncRNAs. The <i>LOC284454</i> lncRNA is the second top hit of the list of SE lncRNAs which we have characterized in detail for its molecular features and cellular functions. The RNA is located in the same primary transcript harboring miR-23a∼27a∼24-2 cluster. <i>LOC284454</i> is a stable, nuclear restricted and chromatin associated lncRNA. The sequence is conserved only in primates among 26 different species and is expressed in multiple human tissues. Expression of <i>LOC284454</i> is significantly reduced in breast, prostate, uterus and kidney cancer and also in breast cancer cell lines (MCF7 and T47D). Global gene expression studies upon loss and gain of function of <i>LOC284454</i> revealed perturbation of genes related to cancer-related pathways. Focal adhesion and cell migration pathway genes are downregulated under overexpression condition, and these genes are significantly upregulated in breast cancer cell lines as well as breast cancer tissue samples suggesting a functional role of <i>LOC284454</i> lncRNA in breast cancer pathobiology.
DOI: 10.6084/m9.figshare.5688622
title: Mozdeh gender detection accuracy and bias for YouTube commenters

description: This file estimates the accuracy of gender detection by the software Mozdeh, which uses a list of first names recorded at least 90% by males or females in the 1990 US census. The document shows that Mozdeh finds more males than females, introducing a small bias into the results.<br>The results are based on the names of school age children, probably dominated by the UK and English-speaking countries. Different biases can be expected for other countries and demographics.
DOI: 10.6084/m9.figshare.5688601
title: Social Vulnerability in Watershed Planning - Milwaukee River Basin 1980 to 2010

description: The dataset supports the social vulnerability index (SoVI) in the Milwaukee River Basin (Wisconsin, USA). We downloaded data for the watershed from 1980, 1990, 2000, and 2010. These data came from the Neighborhood Change Database maintained by Geolytics, which apportions historical census data into 2010 boundaries. Seven of the 32 variables used by Cutter et al. [1] were not available. The loss did not alter vulnerability designations (authors, unpublished data). We performed Z-score transformations on the remaining 25 variables and completed principle components analysis (PCA) with varimax rotation. Such standardization and rescaling limits the influence of indicators with different units or ranges. Before summing PCA coefficients, each is assigned a direction so that higher scores indicate higher vulnerability.
DOI: 10.6084/m9.figshare.5688601.v1
title: Social Vulnerability in Watershed Planning - Milwaukee River Basin 1980 to 2010

description: The dataset supports the social vulnerability index (SoVI) in the Milwaukee River Basin (Wisconsin, USA). We downloaded data for the watershed from 1980, 1990, 2000, and 2010. These data came from the Neighborhood Change Database maintained by Geolytics, which apportions historical census data into 2010 boundaries. Seven of the 32 variables used by Cutter et al. [1] were not available. The loss did not alter vulnerability designations (authors, unpublished data). We performed Z-score transformations on the remaining 25 variables and completed principle components analysis (PCA) with varimax rotation. Such standardization and rescaling limits the influence of indicators with different units or ranges. Before summing PCA coefficients, each is assigned a direction so that higher scores indicate higher vulnerability.
DOI: 10.6084/m9.figshare.5688562
title: The Flow of Beauty _ Dataset

description: 13 single subject preprocessed epoched datasets. 5 epochs correspond to different abstarct images category. Matlab and LetsWave6 formats available
DOI: 10.6084/m9.figshare.5688562.v1
title: The Flow of Beauty _ Dataset

description: 13 single subject preprocessed epoched datasets. 5 epochs correspond to different abstarct images category. Matlab and LetsWave6 formats available
DOI: 10.6084/m9.figshare.5688523
title: Supplementary Material for: Progesterone Receptor Isoforms, Nuclear Corepressor-1 and Steroid Receptor Coactivator-1 and B-Cell Lymphoma 2 and Akt and Akt Phosphorylation Status in Uterine Myomas after Ulipristal Acetate Treatment: A Systematic Immunohistochemical Evaluation

description: <b><i>Objective:</i></b> To investigate whether ulipristal acetate (UPA) treatment modifies the expression of progesterone receptor (PR), its nuclear cofactors steroid receptor coactivator-1 (SRC1) and nuclear corepressor-1 (NCoR1), prosurvival factor B-cell lymphoma 2 (Bcl-2), and Akt in uterine myomas. <b><i>Patients:</i></b> Prospective study of 59 women with symptomatic myomas undergoing myomectomy. Forty-two patients were treated preoperatively with UPA; the remaining 17 were not and they served as controls. <b><i>Method:</i></b> Tissue microarrays were obtained from surgical specimens and immunohistochemistry was performed. Blinded quantification of expression of PR (PR-A vs. PR-B), coactivator SRC1 and corepressor NCoR1, and prosurvival factor Bcl-2, and Akt and evaluation of Akt phosphorylation levels. <b><i>Results:</i></b> Compared with the control group, UPA does not alter PR protein levels or expression patterns in myomas, and the PR-A/PR-B ratio was similar, as well as cytoplasmic or nuclear expression of cofactors SRC1 and NCoR1. Bcl-2 was heterogeneously expressed throughout the samples and no significant modification in expression was evidenced. No significant difference was found in Akt expression and phosphorylation between treated and untreated myomas. <b><i>Conclusion:</i></b> This study did not find any significant change in the expression of the studied factors in myomas after UPA exposure. In conclusion, various theories on myomas cells proposed on the basis of in vitro<i></i> studies are not supported in vivo.
DOI: 10.6084/m9.figshare.5688523.v1
title: Supplementary Material for: Progesterone Receptor Isoforms, Nuclear Corepressor-1 and Steroid Receptor Coactivator-1 and B-Cell Lymphoma 2 and Akt and Akt Phosphorylation Status in Uterine Myomas after Ulipristal Acetate Treatment: A Systematic Immunohistochemical Evaluation

description: <b><i>Objective:</i></b> To investigate whether ulipristal acetate (UPA) treatment modifies the expression of progesterone receptor (PR), its nuclear cofactors steroid receptor coactivator-1 (SRC1) and nuclear corepressor-1 (NCoR1), prosurvival factor B-cell lymphoma 2 (Bcl-2), and Akt in uterine myomas. <b><i>Patients:</i></b> Prospective study of 59 women with symptomatic myomas undergoing myomectomy. Forty-two patients were treated preoperatively with UPA; the remaining 17 were not and they served as controls. <b><i>Method:</i></b> Tissue microarrays were obtained from surgical specimens and immunohistochemistry was performed. Blinded quantification of expression of PR (PR-A vs. PR-B), coactivator SRC1 and corepressor NCoR1, and prosurvival factor Bcl-2, and Akt and evaluation of Akt phosphorylation levels. <b><i>Results:</i></b> Compared with the control group, UPA does not alter PR protein levels or expression patterns in myomas, and the PR-A/PR-B ratio was similar, as well as cytoplasmic or nuclear expression of cofactors SRC1 and NCoR1. Bcl-2 was heterogeneously expressed throughout the samples and no significant modification in expression was evidenced. No significant difference was found in Akt expression and phosphorylation between treated and untreated myomas. <b><i>Conclusion:</i></b> This study did not find any significant change in the expression of the studied factors in myomas after UPA exposure. In conclusion, various theories on myomas cells proposed on the basis of in vitro<i></i> studies are not supported in vivo.