cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19576462
title: Meteorological based parameters and ozone exceedances in Houston and other cities in Texas

description: In the Houston-Galveston-Beaumont (HGB) region considerable scientific effort has been directed at elucidating the relationships among atmospheric circulations and urban mixed-layer ozone concentrations. These studies of the HGB region have provided guidance on the conditions that are used herein to identify specific meteorological parameters that relate with observed exceedances of the National Ambient Air Quality Standard for ozone. These parameters were developed using 15 years of ozone concentrations and localized wind conditions enhanced by incorporating data from a private monitoring network. Using these data, several key parameters were found that described the most common meteorological conditions for an exceedance day in HGB. The most relevant parameters included: the wind direction at midnight, wind speeds from 0 to 6 LST, and the extent of wind direction rotation in a 24-hour period. These parameters, and the meteorological conditions they describe, were also found to occur in an analysis of observational data throughout the state of Texas suggesting large scale forces beyond the influence of a sea breeze. A mixed layer model was developed and shown to illustrate the large-scale synoptic forces found in the observational data. The meteorological parameters, and conditions they describe, could be part of a diagnostic model performance evaluation to assure that accurate predictions of ozone for Texas were not the result of compensating errors. <i>Implications</i>: This study identified meteorological-based parameters that coincided with observed exceedances of the National Ambient Air Quality Standard for ozone across the state of Texas. These parameters can be used in support of regulatory model performance evaluations to assure accuracy in predicting ozone conducive conditions. In Houston, the vast majority of meteorlogical ozone conducive days did not produce an exceedance, suggesting other as yet unidentified conditions that are necessary such as an intermittent emission of precursors.
DOI: 10.6084/m9.figshare.19576462.v1
title: Meteorological based parameters and ozone exceedances in Houston and other cities in Texas

description: In the Houston-Galveston-Beaumont (HGB) region considerable scientific effort has been directed at elucidating the relationships among atmospheric circulations and urban mixed-layer ozone concentrations. These studies of the HGB region have provided guidance on the conditions that are used herein to identify specific meteorological parameters that relate with observed exceedances of the National Ambient Air Quality Standard for ozone. These parameters were developed using 15 years of ozone concentrations and localized wind conditions enhanced by incorporating data from a private monitoring network. Using these data, several key parameters were found that described the most common meteorological conditions for an exceedance day in HGB. The most relevant parameters included: the wind direction at midnight, wind speeds from 0 to 6 LST, and the extent of wind direction rotation in a 24-hour period. These parameters, and the meteorological conditions they describe, were also found to occur in an analysis of observational data throughout the state of Texas suggesting large scale forces beyond the influence of a sea breeze. A mixed layer model was developed and shown to illustrate the large-scale synoptic forces found in the observational data. The meteorological parameters, and conditions they describe, could be part of a diagnostic model performance evaluation to assure that accurate predictions of ozone for Texas were not the result of compensating errors. <i>Implications</i>: This study identified meteorological-based parameters that coincided with observed exceedances of the National Ambient Air Quality Standard for ozone across the state of Texas. These parameters can be used in support of regulatory model performance evaluations to assure accuracy in predicting ozone conducive conditions. In Houston, the vast majority of meteorlogical ozone conducive days did not produce an exceedance, suggesting other as yet unidentified conditions that are necessary such as an intermittent emission of precursors.
DOI: 10.6084/m9.figshare.19604375.v1
title: Influence of Seasons and Sites on Bioaerosols in Indoor Wastewater Treatment Plants and Proposal for Air Quality Indicators

description: During wastewater treatment, bioaerosols are generated and, can either remain in suspension for several hours or settle on surfaces and workers may be exposed. The presence of pathogens in the air could contribute to an increased frequency of gastrointestinal or respiratory illness amongst workers. Due to harsh winter conditions in Eastern Canada, much of the steps in the wastewater treatment process occur indoors, leading to a greater risk of significant occupational exposure especially if there is inadequate ventilation or a lack of personal protection. This work has used stationary sampling at various indoor wastewater treatment steps in both winter and summer. Bioaerosols were evaluated using both culture and molecular methods along with ventilation characterization. Endotoxins were quantified, as well as total cultivable and Gram-negative bacteria and pathogen indicators using qPCR. This study highlights the presence of potential pathogens at all steps in the treatment process, which may represent a potential occupational hazard. Comparisons between summer and winter data suggest that water temperature is an important factor for microbial activity and suggest that increasing the rate of air changes per hour in summer would be beneficial to reduce the concentration of bioaerosols during this time of the year. The screening, grit/FOGs removal and biofiltration were the most bioaerosols loaded sites. Based on strong correlations, we suggest the reconsideration of exposure limits in WWTPs. Workers should be encouraged to use personal respiratory protection to limit the risk of health problems, especially during long-term work. Implication StatementThe work presented herein showcases significant correlations between concentrations of endotoxins, cultivable bacteria, Gram-negative bacteria, and total bacteria by qPCR from air collected in indoor wastewater treatment plants. These correlations lead us to propose new Limit of Exposure values, revisited to fit the Endotoxin exposure limits recommendations. The results can serve as guidelines for future proposals for air quality indicators. Implication Statement The work presented herein showcases significant correlations between concentrations of endotoxins, cultivable bacteria, Gram-negative bacteria, and total bacteria by qPCR from air collected in indoor wastewater treatment plants. These correlations lead us to propose new Limit of Exposure values, revisited to fit the Endotoxin exposure limits recommendations. The results can serve as guidelines for future proposals for air quality indicators.
DOI: 10.25919/skwz-cd55
title: Parkes observations for project P1105 semester 2021APRS_16

description: We have re-processed all the observations in the Parkes pulsar data archive obtained during the first four years of the Parkes multibeam receiver and have developed a new artificial intelligence (AI) algorithm to investigate huge volume of candidates. Except for our previous detections, the latest results include 87 new fast radio burst (FRB) candidates with S/N above 7. These signals were only detected in a single beam of the receiver suggesting that they are unlikely to be terrestrial. Their dispersion measure (DM) excesses over the estimated Galactic DM place them at extragalactic distances. Using the Ultra Wideband Low (UWL) receiver we have opportunity to detect repeating signals from some of these FRB candidates. As all these signals were detected in the 20 cm band, the UWL provides the opportunity to observe stronger emission in other observing bands.
DOI: 10.6084/m9.figshare.20740009.v1
title: RADAR RNA sensor candidates for mouse genes

description: Pregenerated, untested RADAR RNA sensor designs for mouse genes from the publication "Modular, programmable RNA sensing using ADAR editing in living cells"
DOI: 10.6084/m9.figshare.20740150
title: Species delimitation in the <i>Trichocentrum cepula</i> (Oncidiinae, Orchidaceae) complex: a multidisciplinary approach

description: The <i>Trichocentrum cepula</i> complex comprises three species, <i>T. caatingaense</i>, <i>T. cepula</i> and <i>T. sprucei</i>, endemic to tropical forests east of the Andes in South America. The delimitation of these species has been diversely interpreted due to the extensive morphological variation in the complex. We applied an integrative approach to achieve a better understanding of these biological units, using geometric morphometrics, cytogenetic analysis (chromosome counts and CMA/DAPI banding) and molecular phylogenetics (ITS and <i>rpl32-trnL</i>). An initial morphometric analysis using the pre-identified specimens into three taxa suggested that <i>T. sprucei</i> is distinct from the other two, which show some overlap. A subsequent analysis of the labellum, including only <i>T. caatingaense</i> and <i>T. cepula</i> organized in six pseudo-populations, suggested the existence of four morphological groups. All analysed specimens presented 2<i>n</i> = 36 chromosomes, CMA<sup>+</sup>/DAPI<sup>−</sup> terminal bands and CMA<sup>−</sup>/DAPI<sup>+</sup> pericentromeric bands, which varied in number across species, localities or even individuals from the same locality. The notable variation in DAPI<sup>+</sup> pericentromeric bands may be related to transposable elements that could also be a factor influencing the wide morphological variation in the flowers. In the phylogenetic analysis, the specimens belonging to <i>T. caatingaense</i> formed a strongly supported clade sister to the rest, whereas the specimens belonging to <i>T. cepula</i> and <i>T. sprucei</i> emerged together, with their relationships tending to be determined by geographic proximity. The evidence we generated suggests that treating the Brazilian populations of this species complex under a single name, <i>T. cepula</i>, provides more taxonomic stability and utility, thus the necessary taxonomic changes are implemented.
DOI: 10.6084/m9.figshare.20740150.v1
title: Species delimitation in the <i>Trichocentrum cepula</i> (Oncidiinae, Orchidaceae) complex: a multidisciplinary approach

description: The <i>Trichocentrum cepula</i> complex comprises three species, <i>T. caatingaense</i>, <i>T. cepula</i> and <i>T. sprucei</i>, endemic to tropical forests east of the Andes in South America. The delimitation of these species has been diversely interpreted due to the extensive morphological variation in the complex. We applied an integrative approach to achieve a better understanding of these biological units, using geometric morphometrics, cytogenetic analysis (chromosome counts and CMA/DAPI banding) and molecular phylogenetics (ITS and <i>rpl32-trnL</i>). An initial morphometric analysis using the pre-identified specimens into three taxa suggested that <i>T. sprucei</i> is distinct from the other two, which show some overlap. A subsequent analysis of the labellum, including only <i>T. caatingaense</i> and <i>T. cepula</i> organized in six pseudo-populations, suggested the existence of four morphological groups. All analysed specimens presented 2<i>n</i> = 36 chromosomes, CMA<sup>+</sup>/DAPI<sup>−</sup> terminal bands and CMA<sup>−</sup>/DAPI<sup>+</sup> pericentromeric bands, which varied in number across species, localities or even individuals from the same locality. The notable variation in DAPI<sup>+</sup> pericentromeric bands may be related to transposable elements that could also be a factor influencing the wide morphological variation in the flowers. In the phylogenetic analysis, the specimens belonging to <i>T. caatingaense</i> formed a strongly supported clade sister to the rest, whereas the specimens belonging to <i>T. cepula</i> and <i>T. sprucei</i> emerged together, with their relationships tending to be determined by geographic proximity. The evidence we generated suggests that treating the Brazilian populations of this species complex under a single name, <i>T. cepula</i>, provides more taxonomic stability and utility, thus the necessary taxonomic changes are implemented.
DOI: 10.17632/k8mvzvpwth.1
title: PhD Thesis: What place for the External Crysalline Massifs of the western Alps in the Variscan Orogeny? - complete dataset

description: This dataset contains data related to my PhD thesis defended in 2022. Detailed description is given in the README file
DOI: 10.17632/p7d5b4vbrh.1
title: Denny Dowd IOB 2022 Supplemental Information

description: Supplemental data for the article: Denny MW and Dowd WW. (2022) Elevated salinity rapidly confers cross-tolerance to high temperature in a splash-pool copepod. Integrative Organismal Biology (in review)
DOI: 10.17632/2f6t9pff4n.7
title: COVID-19 Impact Scale, Event-Related Rumination Inventory, Beck Depression Inventory, and Beck Anxiety Inventory Data from Online Sample

description: This dataset was collected between July 2020 and April 2021 from an online sample of 1533 participants to investigate the associations among the following factors: stress due to the COVID-19 pandemic, pandemic-related intrusive and deliberate rumination (IR and DR), and severity of depression and anxiety symptoms. Pandemic stress (PS) was assessed with the COVID-19 Impact Scale (Howes Vallis et al., 2021). IR and DR were assessed with a version of the Event-Related Rumination Inventory (ERRI; Cann et al., 2011), modified to be about pandemic-related rumination. Depression and anxiety levels were assessed with the Beck Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996) and Beck Anxiety Inventory (BAI; Beck et al., 1988), respectively. Please see "ItemCodes.docx" and "Questionnaires.docx" for lists of these questionnaire items and other collected data (e.g., demographics, medications, perceived health and stress, etc.). MPlus input files are provided as well, which test in separate multiple mediation models the following associations among a subset of participants (n=1090) without a history of personal or family COVID-19 infection:

Model 1) Predictor: PS, Mediators: IR and DR, Outcomes: BDI-II and BAI
Model 2) Predictor: PS, Mediators: BDI-II and BAI, Outcomes: IR and DR
Model 3) Predictors: BDI-II and BAI, Mediators: BDI-II and BAI, Outcome: PS

In addition to the *_analyzed_n1090 (no COVID-19 infection) and *_filtered_n1533 (answered all items in main variables of interest), a *_raw_n2453 version of the dataset can be compiled by the authors upon request - this version contains all collected responses, including incomplete ones.

A data article that describes this dataset has been submitted to the journal Data in Brief for publication and is currently under review.
DOI: 10.25574/51254
title: Chandra X-ray Observatory ObsId 51254
DOI: 10.25574/51261
title: Chandra X-ray Observatory ObsId 51261
DOI: 10.25574/51268
title: Chandra X-ray Observatory ObsId 51268
DOI: 10.25574/51274
title: Chandra X-ray Observatory ObsId 51274
DOI: 10.25574/51278
title: Chandra X-ray Observatory ObsId 51278
DOI: 10.25574/51282
title: Chandra X-ray Observatory ObsId 51282
DOI: 10.25574/51285
title: Chandra X-ray Observatory ObsId 51285
DOI: 10.25574/51288
title: Chandra X-ray Observatory ObsId 51288
DOI: 10.25574/51296
title: Chandra X-ray Observatory ObsId 51296
DOI: 10.25574/51298
title: Chandra X-ray Observatory ObsId 51298
DOI: 10.25574/51303
title: Chandra X-ray Observatory ObsId 51303
DOI: 10.25574/51310
title: Chandra X-ray Observatory ObsId 51310
DOI: 10.25574/51319
title: Chandra X-ray Observatory ObsId 51319
DOI: 10.25574/51327
title: Chandra X-ray Observatory ObsId 51327
DOI: 10.25574/51335
title: Chandra X-ray Observatory ObsId 51335
DOI: 10.25574/51342
title: Chandra X-ray Observatory ObsId 51342
DOI: 10.25574/51349
title: Chandra X-ray Observatory ObsId 51349
DOI: 10.25574/51355
title: Chandra X-ray Observatory ObsId 51355
DOI: 10.25574/51359
title: Chandra X-ray Observatory ObsId 51359
DOI: 10.25574/51363
title: Chandra X-ray Observatory ObsId 51363
DOI: 10.25574/51367
title: Chandra X-ray Observatory ObsId 51367
DOI: 10.25574/51371
title: Chandra X-ray Observatory ObsId 51371
DOI: 10.25574/51376
title: Chandra X-ray Observatory ObsId 51376
DOI: 10.25574/51381
title: Chandra X-ray Observatory ObsId 51381
DOI: 10.25574/51388
title: Chandra X-ray Observatory ObsId 51388
DOI: 10.25574/51399
title: Chandra X-ray Observatory ObsId 51399
DOI: 10.25574/51401
title: Chandra X-ray Observatory ObsId 51401
DOI: 10.25574/51407
title: Chandra X-ray Observatory ObsId 51407
DOI: 10.25574/51414
title: Chandra X-ray Observatory ObsId 51414
DOI: 10.25574/51419
title: Chandra X-ray Observatory ObsId 51419
DOI: 10.25574/51427
title: Chandra X-ray Observatory ObsId 51427
DOI: 10.25574/51437
title: Chandra X-ray Observatory ObsId 51437
DOI: 10.25574/51441
title: Chandra X-ray Observatory ObsId 51441
DOI: 10.25574/51449
title: Chandra X-ray Observatory ObsId 51449
DOI: 10.25574/51471
title: Chandra X-ray Observatory ObsId 51471
DOI: 10.25574/51478
title: Chandra X-ray Observatory ObsId 51478
DOI: 10.25574/51488
title: Chandra X-ray Observatory ObsId 51488
DOI: 10.25574/51493
title: Chandra X-ray Observatory ObsId 51493
DOI: 10.25574/51497
title: Chandra X-ray Observatory ObsId 51497
DOI: 10.6084/m9.figshare.20740204.v1
title: Mineral-catalyzed formation of marine NO and N2O on the anoxic early Earth

description: Microbial denitrification converts fixed nitrogen species into gases in extant oceans. However, it is unclear how such transformations occurred within the early nitrogen cycle of the Archean. Here we present experimental anoxic surface-catalyzed reduction of nitrite and nitrate via green rust and magnetite combined with diffusion and photochemical modeling. We find that in a Fe2+-rich marine environment, Fe minerals could have catalyzed abiotic denitrification reactions leading to the formation of nitric oxide (NO) and nitrous oxide (N2O). Nitrate did not exhibit reactivity in the presence of either mineral or aqueous Fe2+, however, both minerals induced rapid nitrite reduction to NO and N2O. While N2O escaped into the atmosphere (63% of nitrite-nitrogen, with green rust as catalyst), NO remained associated with precipitates (7%) serving as a potential shuttle to the benthic ocean. The modeling suggests that marine N2O emissions would have sustained 0.8-6 ppb of atmospheric N2O without a protective ozone layer. Our findings add detail to the as yet incompletely documented Archean nitrogen cycle, implying a globally distributed process driven by chemical kinetics similar to those of modern enzymatically mediated conversions.
DOI: 10.6084/m9.figshare.19308275.v1
title: Hatchling diamondback terrapins 2019-2021

description: hatchling diamondback terrapin (Malaclemys terrapin) 2019-2021 in Rhode Island<br>
DOI: 10.6084/m9.figshare.19308275
title: Hatchling diamondback terrapins 2019-2021

description: hatchling diamondback terrapin (Malaclemys terrapin) 2019-2021 in Rhode Island<br>
DOI: 10.6084/m9.figshare.20736706
title: Event log with data attributes

description: These 60 event log varies over the number of cases and the density of the overlapping cases. The log has the following event attributes: event id, case id, activity, timestamp, loan type, amount, resources, and status. And the BPMN scenarios were used to simulate the process.
DOI: 10.25574/51509
title: Chandra X-ray Observatory ObsId 51509
DOI: 10.25574/51514
title: Chandra X-ray Observatory ObsId 51514
DOI: 10.25574/51518
title: Chandra X-ray Observatory ObsId 51518
DOI: 10.25574/51523
title: Chandra X-ray Observatory ObsId 51523
DOI: 10.25574/51527
title: Chandra X-ray Observatory ObsId 51527
DOI: 10.25574/51532
title: Chandra X-ray Observatory ObsId 51532
DOI: 10.25574/51537
title: Chandra X-ray Observatory ObsId 51537
DOI: 10.25574/51541
title: Chandra X-ray Observatory ObsId 51541
DOI: 10.25574/51547
title: Chandra X-ray Observatory ObsId 51547
DOI: 10.25574/51551
title: Chandra X-ray Observatory ObsId 51551
DOI: 10.25574/51556
title: Chandra X-ray Observatory ObsId 51556
DOI: 10.25574/51562
title: Chandra X-ray Observatory ObsId 51562
DOI: 10.25574/51566
title: Chandra X-ray Observatory ObsId 51566
DOI: 10.25574/51571
title: Chandra X-ray Observatory ObsId 51571
DOI: 10.25574/51575
title: Chandra X-ray Observatory ObsId 51575
DOI: 10.25574/51580
title: Chandra X-ray Observatory ObsId 51580
DOI: 10.25574/51586
title: Chandra X-ray Observatory ObsId 51586
DOI: 10.25574/51589
title: Chandra X-ray Observatory ObsId 51589
DOI: 10.25574/51602
title: Chandra X-ray Observatory ObsId 51602
DOI: 10.25574/51608
title: Chandra X-ray Observatory ObsId 51608
DOI: 10.25574/51613
title: Chandra X-ray Observatory ObsId 51613
DOI: 10.34740/kaggle/dsv/4141213
title: OntoUML/UFO Catalog
DOI: 10.25574/51619
title: Chandra X-ray Observatory ObsId 51619
DOI: 10.25574/51623
title: Chandra X-ray Observatory ObsId 51623
DOI: 10.25574/51627
title: Chandra X-ray Observatory ObsId 51627
DOI: 10.25574/51635
title: Chandra X-ray Observatory ObsId 51635
DOI: 10.25574/51640
title: Chandra X-ray Observatory ObsId 51640
DOI: 10.25574/51646
title: Chandra X-ray Observatory ObsId 51646
DOI: 10.25574/51654
title: Chandra X-ray Observatory ObsId 51654
DOI: 10.25574/51661
title: Chandra X-ray Observatory ObsId 51661
DOI: 10.25574/51665
title: Chandra X-ray Observatory ObsId 51665
DOI: 10.25574/51671
title: Chandra X-ray Observatory ObsId 51671
DOI: 10.25574/51676
title: Chandra X-ray Observatory ObsId 51676
DOI: 10.25574/51680
title: Chandra X-ray Observatory ObsId 51680
DOI: 10.25574/51684
title: Chandra X-ray Observatory ObsId 51684
DOI: 10.25574/51688
title: Chandra X-ray Observatory ObsId 51688
DOI: 10.25574/51692
title: Chandra X-ray Observatory ObsId 51692
DOI: 10.25574/51696
title: Chandra X-ray Observatory ObsId 51696
DOI: 10.25574/51700
title: Chandra X-ray Observatory ObsId 51700
DOI: 10.25574/51703
title: Chandra X-ray Observatory ObsId 51703
DOI: 10.25574/51719
title: Chandra X-ray Observatory ObsId 51719
DOI: 10.25574/51725
title: Chandra X-ray Observatory ObsId 51725
DOI: 10.25574/51730
title: Chandra X-ray Observatory ObsId 51730
DOI: 10.25574/51736
title: Chandra X-ray Observatory ObsId 51736
DOI: 10.25574/51742
title: Chandra X-ray Observatory ObsId 51742
DOI: 10.5281/zenodo.7035937
title: Office Suit

description: Dataset collection from 2019 to 2022
description: {"references": ["https://docs.microsoft.com/en-us/officeupdates/odt-release-history"]}
DOI: 10.5281/zenodo.7035938
title: Office Suit

description: Dataset collection of Microsoft Office from 2019 to 2022
description: {"references": ["https://docs.microsoft.com/en-us/officeupdates/odt-release-history"]}
DOI: 10.5281/zenodo.7036378
title: Office Suit

description: Dataset collection from 2019 to 2022
description: {"references": ["https://docs.microsoft.com/en-us/officeupdates/odt-release-history"]}
DOI: 10.5281/zenodo.7036383
title: Office Suit

description: Dataset collection from 2019 to 2022
description: {"references": ["https://docs.microsoft.com/en-us/officeupdates/odt-release-history"]}
DOI: 10.34740/kaggle/dsv/4141341
title: BBC News
DOI: 10.6084/m9.figshare.20740912
title: Data constraints over event logs

description: This dataset contains the data constraints that are extracted by visual inspection and analysis of the following event logs: 1- BPIC13cp( https://doi.org/10.4121/uuid:c2c3b154-ab26-4b31-a0e8-8f2350ddac11) 2- BPIC13inc( https://doi.org/10.4121/uuid:500573e6-accc-4b0c-9576-aa5468b10cee) 3- BPIC2015f1 (https://doi.org/10.4121/uuid:a0addfda-2044-4541-a450-fdcc9fe16d17) 4- BPIC2017 (https://doi.org/10.4121/12705737.v2). <br> These constraints can be used for event correlation using EC-SA-Data (https://github.com/DinaBayomie/EC-SA-Data/releases/tag/EC-SA-Data)