cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3761562.v2639
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: 10.3886/e163141v1-140003
title: Student emotions, bad professors, and course ratings. A machine learning evaluation of one million student reviews.

description: For the first time in the literature, Natural Language Processing models based on deep neural networks are used to identify student emotions and extract bad performance by professors from the course reviews of students. I study how emotions and harmful performance are associated with high and low faculty ratings, the perceived level of difficulty of the course, and the university rating. I use a random sample of nearly one million student reviews from the ratemyprofessors.com website and the performance indicators of US universities from the Times Higher Education ranking. The linear and ordinal logistic regression models reveal strong relationships, and the estimated parameters have the expected signs. <br><br>Description of variables in the Results replication file, in Rdata format. 975,860 observations (rows). Raw data scraped from ratemyprofessors.com<br>- rev - textual student review<br>- rat - course rating (1-5)- dif - course perceived difficulty (1-5)- uname - University name- emo - emotion with the highest score- action_zs - professor bad performance with the highest probability calculated by zero-shot classification (DistilBERT model available at https://huggingface.co/typeform/distilbert-base-uncased-mnli)- sadness_sc - sadness emotion score calculated by DistilBERT model trained on Twitter corpus (available at https://huggingface.co/bhadresh-savani/distilbert-base-uncased-emotion)- similar for the other five basic emotions- nwords - number of words in the review<br> - m, y - month and year when the review was written<br><br><br><br><br><br>
description: Random sample, 1 million out fo 20 million reviews. Max number of reviews per professor set to 20. If more reviews exist, scraped the latest 20.<br>
description: Random sample of student reviews from ratemyprofessors.com<br>.
DOI: 10.5281/zenodo.8022034
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Josephine Tilden, http://www.wikidata.org/entity/Q20856036. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q20856036
DOI: 10.5281/zenodo.8125659
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Josephine Tilden, http://www.wikidata.org/entity/Q20856036. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q20856036
DOI: 10.26208/ga3y-xd59
title: Diagnosing flavors of tropospheric Rossby wave breaking and their associated dynamical and sensible weather features

description: Rossby wave breaking (RWB) occurs when synoptic-scale Rossby waves become highly amplified and break, leading to tropospheric impacts ranging from changes in jet stream intensity and position to precipitation extremes. Traditionally, the type of breaking is categorized as anticyclonic (AWB) or cyclonic (CWB) and can be identified using the orientation of streamers of high potential temperature ($\theta$) and low $\theta$ air on a potential vorticity surface.  An examination of the range of tropospheric impacts associated with RWB due to difference in RWB structure remains unexplored. In this study, AWB and CWB are identified from overturning isentropes on the dynamic tropopause (DT) in the ERA5 reanalysis dataset during December, January, and February 1979-2019. Self-organizing maps (SOM), a machine learning method, is used to cluster the identified RWB events into archetypal patterns, or ``flavors", for each type. AWB and CWB flavors capture variations in the minima/maxima of $\theta$ of each streamer and the localized meridional $\theta$ gradient flanking the streamers. Variations of the meridional potential temperature gradient on the DT coincided with differences in the troposphere-deep circulations between AWB/CWB flavors. A subset of flavors of AWB (CWB) events are associated with the development of strong surface high (low) pressure systems and the generation of extreme poleward moisture transport. For CWB, many events occurred in similar geographical regions, but the precipitation and moisture patterns were vastly different between flavors. Our findings suggest that the location, type, and severity of the tropospheric impacts from RWB are strongly dictated by RWB flavor.
DOI: 10.5281/zenodo.7109245
title: Two Large-Scale Meteorological Patterns Are Associated with Short-Duration Dry Spells in the Northeastern United States

description: <strong>Description</strong> This dataset contains processed data from the ERA5 dataset for some of the atmospheric fields considered in this study. Original (pre-processed) ERA5 data (Hersbach et al. 2020) is available at https://cds.climate.copernicus.eu/#!/search?text=ERA5&type=dataset. For each processed data file (netCDF format), the time steps correspond with the events and numerical order as listed in Table 1 of the main manuscript text. Processed data files are given for some of the 12-day averaged dry periods. Other processed data files are available from the authors upon reasonable request. <strong>Abstract</strong> Large-scale meteorological pattern (LSMP) – based analysis is used novelly to understand antecedent conditions and characteristics of short-duration dry spell events over the northeastern United States. Dry spell events are identified from histograms of consecutive dry days below a daily precipitation threshold. Events lasting twelve days or longer, which correspond to ~10% of dry spell events, are examined. The 500-hPa stream function anomaly fields for the first twelve days of each event are time-averaged and k-means clustering is applied to isolate the dry spell-related LSMPs. The first cluster has a strong, low-pressure anomaly over the Atlantic Ocean, southeast of the region, and is more common in winter and spring. The second cluster has strong, high-pressure over east-central North America and is most common during autumn. Over the region, both clusters have negative specific humidity anomalies, negative integrated vapor transport from the north, and subsidence associated with a midlatitude jet stream dipole structure that reinforces upper-level convergence. Subsidence is supported by cold air advection in the first cluster and the location on the east side of the lower-level high pressure in the second cluster. Extratropical cyclone storm track density across the Northeast is dramatically reduced during these dry spell events. Individual events lie on a continuum between two distinct clusters. These clusters have similar local, but quite different remote, properties. More (56%) short-duration dry spells occurred during the numerous non-drought months than drought months, however the frequency of dry spells is more than three times greater during drought than non-drought months.
DOI: 10.5281/zenodo.7109246
title: Two Large-Scale Meteorological Patterns Are Associated with Short-Duration Dry Spells in the Northeastern United States, Part I: General Properties

description: <strong>Description</strong> The zip file contains folders with processed data from the ERA5 dataset for some of the atmospheric fields considered in this study. Original (pre-processed) ERA5 data (Hersbach et al. 2020) is available at https://cds.climate.copernicus.eu/#!/search?text=ERA5&type=dataset. For each processed data file (netCDF format), the time steps correspond with the events and numerical order as listed in Table S1 of the Supplemental Materials for this article. <strong>Abstract</strong> Short-duration dry spell events over the northeastern United States are grouped into two types based on the temporal and spatial evolution of the large-scale meteorological patterns (LSMPs) during the onset period of the events. These events are first identified as consecutive dry day (CDD) events lasting nine days or longer. The 500-hPa stream function anomaly fields for the first nine days of each respective event are time-averaged, and <em>k</em>-means clustering is applied in order to isolate the dry spell-related LSMPs. The first cluster is associated with a strong, low-pressure area over the Atlantic Ocean, southeast of the region. The second cluster is defined by a strong, high-pressure centered over east-central North America. Wave activity flux convergence is consistent with the development of the first cluster LSMP, and less apparent for the second cluster LSMP. Both clusters have negative specific humidity anomalies, changes to normal integrated vapor transport, and subsidence associated with a dipole structure in the midlatitude jet stream that generates upper-level convergence. Subsidence is supported in the first cluster by cold air advection into the region, while sinking motion occurs primarily from the high-pressure area in the second cluster. Extratropical cyclone storm track density across the Northeast is dramatically reduced during the dry spell events. The connection between drought months and short-duration dry spells is briefly examined, and reveals that most short-duration dry spells occur in neither drought nor pluvial months, indicating that these events tend to occur abruptly and disrupt normal precipitation conditions.
DOI: 10.5281/zenodo.8043725
title: Two Large-Scale Meteorological Patterns Are Associated with Short-Duration Dry Spells in the Northeastern United States

description: <strong>Description</strong> This dataset contains processed data from the ERA5 dataset for some of the atmospheric fields considered in this study. Original (pre-processed) ERA5 data (Hersbach et al. 2020) is available at https://cds.climate.copernicus.eu/#!/search?text=ERA5&type=dataset. For each processed data file (netCDF format), the time steps correspond with the events and numerical order as listed in Table 1 of the main manuscript text. Processed data files are given for some of the 12-day averaged dry periods. Other processed data files are available from the authors upon reasonable request. <strong>Abstract</strong> Large-scale meteorological pattern (LSMP) – based analysis is used novelly to understand antecedent conditions and characteristics of short-duration dry spell events over the northeastern United States. Dry spell events are identified from histograms of consecutive dry days below a daily precipitation threshold. Events lasting twelve days or longer, which correspond to ~10% of dry spell events, are examined. The 500-hPa stream function anomaly fields for the first twelve days of each event are time-averaged and k-means clustering is applied to isolate the dry spell-related LSMPs. The first cluster has a strong, low-pressure anomaly over the Atlantic Ocean, southeast of the region, and is more common in winter and spring. The second cluster has strong, high-pressure over east-central North America and is most common during autumn. Over the region, both clusters have negative specific humidity anomalies, negative integrated vapor transport from the north, and subsidence associated with a midlatitude jet stream dipole structure that reinforces upper-level convergence. Subsidence is supported by cold air advection in the first cluster and the location on the east side of the lower-level high pressure in the second cluster. Extratropical cyclone storm track density across the Northeast is dramatically reduced during these dry spell events. Individual events lie on a continuum between two distinct clusters. These clusters have similar local, but quite different remote, properties. More (56%) short-duration dry spells occurred during the numerous non-drought months than drought months, however the frequency of dry spells is more than three times greater during drought than non-drought months.
DOI: 10.5281/zenodo.7845360
title: Multicenter dataset of neuroimaging features (part II)

description: The CSV file contains the cortical thickness (CT) and fractal dimension (FD) estimated from the brain MR T<sub>1</sub>-weighted images contained in the multicenter online repository <em>Information eXtraction from Images (IXI)</em> study. Each CSV file contains the following columns: Subject: id of each subject SITE: imaging site label (ABIDEI or ABIDEII followed by the institution name that collected the images; ICBM; NKI2) Age: each subject's age, expressed in years Sex: 0=male; 1=female. cortex_CT (FD): CT (or FD) of the cerebral cortical gray matter (GM). lh_cortex_CT (FD), rh_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM. lh_frontal_cortex_CT (FD), rh_frontal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the frontal lobe. lh_temporal_cortex_CT (FD), rh_temporal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the temporal lobe. lh_parietal_cortex_CT (FD), rh_parietal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the parietal lobe. lh_occipital_cortex_CT (FD), rh_occipital_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the occipital lobe.
description: {"references": ["Marzi, C., Giannelli, M., Barucci, A., Tessa, C., Mascalchi, M., & Diciotti, S. (2022). Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets. arXiv preprint arXiv:2211.04125."]}
DOI: 10.5281/zenodo.7845310
title: Multicenter dataset of neuroimaging features (part I)

description: The CSV file contains the cortical thickness (CT) and fractal dimension (FD) estimated from the brain MR T<sub>1</sub>-weighted images contained in the following online repositories: Autism Brain Imaging Data Exchange (ABIDE) 1000 Functional Connectomes Project (FCP) – ICBM dataset Consortium for Reliability and Reproducibility (CoRR) - <em>NKI 2 - Nathan Kline Institute (Milham)</em> Each CSV file contains the following columns: Subject: id of each subject SITE: imaging site label (ABIDEI or ABIDEII followed by the institution name that collected the images; ICBM; NKI2) Age: each subject's age, expressed in years Sex: 0=male; 1=female. cortex_CT (FD): CT (or FD) of the cerebral cortical gray matter (GM). lh_cortex_CT (FD), rh_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM. lh_frontal_cortex_CT (FD), rh_frontal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the frontal lobe. lh_temporal_cortex_CT (FD), rh_temporal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the temporal lobe. lh_parietal_cortex_CT (FD), rh_parietal_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the parietal lobe. lh_occipital_cortex_CT (FD), rh_occipital_cortex_CT (FD): CT (or FD) of the left (lh) and right (rh) cerebral cortical GM of the occipital lobe.
description: {"references": ["Marzi, C., Giannelli, M., Barucci, A., Tessa, C., Mascalchi, M., & Diciotti, S. (2022). Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets. arXiv preprint arXiv:2211.04125."]}
DOI: 10.7303/syn51942384.1
title: Extensive profiling of transcription factors in postmortem brains defines genomic occupancy in disease-relevant cell types and links TF activities to neuropsychiatric disorders
DOI: 10.5281/zenodo.6979027
title: Aggressive Mimicry in 147 Cultures

description: Text-scraped data from 366 anthropological cultures in the Human Relations Area Files.The six terms Deceiv*, Deception, Decoy*, Imitat*, Lure*/Luring, and Mimic* yielded 324, 111, 327, 1365, 603, and 131 paragraphs, respectively. Of these Deceive* yielded 18 results of aggressive mimicry, Deception yielded 5, Decoy* yielded 109, Imitat* yielded 80, Lure*/Luring yielded 146, and Mimic* yielded 8 for a total of 366 examples. From the total 366 ethnographic examples, 145 cultures from 34 regions in all 7 continent groups had some form of aggressive mimicry. This represented roughly 44% of eHRAF’s cultural dataset at the time of data collection (November, 2019).
DOI: 10.5281/zenodo.6979028
title: Aggressive Mimicry in 147 Cultures

description: Text-scraped data from 366 anthropological cultures in the Human Relations Area Files.The six terms Deceiv*, Deception, Decoy*, Imitat*, Lure*/Luring, and Mimic* yielded 324, 111, 327, 1365, 603, and 131 paragraphs, respectively. Of these Deceive* yielded 18 results of aggressive mimicry, Deception yielded 5, Decoy* yielded 109, Imitat* yielded 80, Lure*/Luring yielded 146, and Mimic* yielded 8 for a total of 366 examples. From the total 366 ethnographic examples, 147 cultures from 34 regions in all 7 continent groups had some form of aggressive mimicry. This represented roughly 46% of eHRAF’s cultural dataset at the time of data collection (November, 2019).
DOI: 10.5281/zenodo.8125705
title: Aggressive Mimicry in 147 Cultures

description: Text-scraped data from 366 anthropological cultures in the Human Relations Area Files.The six terms Deceiv*, Deception, Decoy*, Imitat*, Lure*/Luring, and Mimic* yielded 324, 111, 327, 1365, 603, and 131 paragraphs, respectively. Of these Deceive* yielded 18 results of aggressive mimicry, Deception yielded 5, Decoy* yielded 109, Imitat* yielded 80, Lure*/Luring yielded 146, and Mimic* yielded 8 for a total of 366 examples. From the total 366 ethnographic examples, 145 cultures from 34 regions in all 7 continent groups had some form of aggressive mimicry. This represented roughly 44% of eHRAF’s cultural dataset at the time of data collection (November, 2019).
DOI: 10.34740/kaggle/dsv/6097135
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.8125655
title: Leveraging IoT Data Stream for Near-Real-Time Calibration of City-Scale Microscopic Traffic Simulation

description: This repository includes input and output data of the methodology presented in the paper for generating a calibrated dynamic microscopic traffic simulation. The input data includes the network, initial normalized origin-destination matrix, and hourly traffic counts from stationary city sensors. The output is a 24-hour calibrated microscopic traffic simulation for the city of Tartu, Estonia. All source codes are available at https://github.com/Khoshkhah/NRTCalib.<br>
DOI: 10.34711/inptdat.728
title: Laser-induced plasma formation in water with up to 400 mJ double-pulse LIBS (part 2)

description: Double-pulse laser induced breakdown spectroscopy (LIBS) measurements in water with up to 600 bar and 400 mJ each pulse were done to select laser parameters which promote optimized spectral line emission from plasma even at elevated pressures, where line broadening until loss of the most spectral information can occur. Optical emission spectroscopy, using a Czerny-Turner spectrometer, has been applied to investigate the dependence of the emitted radiation on laser parameters and hydrostatic pressure. It has been found, that higher laser pulse energies, especially with high water pressure, can also have an adverse effect on the measured spectrum. The spectral data was measured with an Roper Acton Spectra Pro 500i with connected PI-MAX2 camera. All data is available in internal spe format and as converted tif files. A metdata file with all relevant parameters is provided in xml format.
DOI: 10.7910/dvn/xjisyr
title: Fotografias de alguns gêneros de algas coletadas dentro do Campus Urutaí do Instituto Federal Goiano.

description: Gênero Amphipleura Kütz. [Bacillariophyceae Haeckel]: É uma alga diatomácea, de água doce e unicelular. Assim como as demais diatomáceas Amphipleura apresenta parede celular impregnada por sílica, o que permite resistência para as suas células. Gênero Closterium Nitsch ex Ralfs [Zygnematophyceae Round ex Guiry]: É uma alga verde, de água doce, e unicelular. Suas células são, em geral, várias vezes mais longas do que largas. Diversos representantes do gênero possuem forma lunada (inteiramente curvadas). Gênero Cosmarium Corda ex Ralfs [Zygnematophyceae Round ex Guiry]: É uma alga verde, de água doce e unicelular. Os representantes de Cosmarium são, em geral, células solitárias e constritas na parte média. Gênero Pleurotaenium Nägeli [Zygnematophyceae Round ex Guiry]: É uma alga verde, de água doce e unicelular. Possuem uma constrição central variada. Gênero Spirogyra Link [Zygnematophyceae Round ex Guiry]: É uma alga verde, de água doce, filamentosa e não ramificada. Ocorrem nos representantes deste gênero até 16 cloroplastos por célula, dispostos em forma de fita helicóide e com numerosos pirenóides arranjados em série.
DOI: 10.6073/pasta/98866c024153c28be7f29180a76c0ce9
title: Monthly measurement summaries from Lake Brownworth Meteorological Station (BRHM), McMurdo Dry Valleys, Antarctica (1995-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains monthly measurement summaries derived from 15-minute data generated by the Lake Brownworth Meteorological Station (BRHM), located in Wright Valley (Latitude: -77.43344, Longitude: 162.7036, Elevation: 279 meters above sea level). BRHM was established in 1994, during the 94/95 field season.
DOI: 10.3886/e118363v2-140004
title: Data and Code for: Two-way fixed effects estimators with heterogeneous treatment effects

description: Linear regressions with period and group fixed effects are widely used to estimate treatment effects. We show that they estimate weighted sums of the average treatment effects (ATE) in each group and period, with weights that may be negative. Due to the negative weights, the linear regression coefficient may for instance be negative while all the ATEs are positive. We propose another estimator that solves this issue. In the two applications we revisit, it is significantly different from the linear regression estimator.
DOI: 10.6073/pasta/92dc395e8b12dc72c875f875f5658fd5
title: Monthly measurement summaries from Commonwealth Glacier Meteorological Station (COHM), McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains monthly measurement summaries derived from 15-minute data generated by the Commonwealth Glacier Meteorological Station (COHM), located in Taylor Valley. COHM was established in 1993, during the 93/94 field season.
DOI: 10.18119/n9sc8r
title: MonogenicPolygenicSLE_PolygenicSjD_Union
DOI: 10.25345/c5hd7p34h
title: MassIVE MSV000092375 - Label-free quantification of two HEK293 cell clones with DNAJA2 expression
title: Two HEK293 cell clones (4 and 7) with DNAJA2 expression were prepared by in-gel trypsin digestion and analyzed by LC-MS/MS label-free quantification (data-dependent acquisition, n=4). Clone 4 was previously identified to express inconsistent amounts of DNAJA2 and present differences following tau seeding compared to clones 6 and 7.
DOI: 10.6084/m9.figshare.23617283
title: Chronic mucocutaneous candidiasis presenting as refractory fissured tongue in a patient with <i>IL-17RC</i> mutation: the first reported case of Chinese ethnicity

description: Chronic mucocutaneous candidiasis presenting as refractory fissured tongue in a patient with <i>IL-17RC</i> mutation: the first reported case of Chinese ethnicity