cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20738248.v1
title: Great_Ruaha_Basin_GW_model.zip

description: The files in the attached zip folder are used to create a groundwater model. The model is located in the geology of the Great Ruaha Basin, Tanzania. The model describes 5 different abstraction scenarios, termed 'pathways'. The files are GIS files, which are used to create groundwater model geometry and provide input parameters for the model. The model is a MODFLOW model created using the FREEWAT plugin in the QGIS software. (http://www.freewat.eu/news/freewat-version-112-now-available).
DOI: 10.6073/pasta/b2b3245e3d56bfdf1c6e399cc11b0231
title: PPL01 Konza prairie long-term phosphorus plots experiment

description: Increased nutrient inputs is one of many global change factors predicted to affect the composition and ecosystem function of plant communities. In general, nitrogen deposition decreases diversity and increases productivity. The effects of phosphorus addition have received less attention, however, and the interactive effect of both nutrients is likely to exacerbate diversity loss over time. Here we addressed whether chronic nutrient additions changed community structure and ecosystem productivity of a native tallgrass prairie. This study took place in an ungrazed watershed that is burned every two years. Two N treatments, 0 and 10 g m-2, and four P treatments, 0, 2.5, 5 and 10 g m-2 were crossed in a fully factorial experimental design. The experiment was initiated in 2002 and starting in 2003 nutrients were added at the beginning of each growing season. Plant species composition was surveyed both in the spring and late summer each year, and aboveground biomass was harvested at the end of each summer to estimate aboveground net primary productivity (ANPP).
DOI: 10.5066/p93x2lx1
title: Digital database of the previously published map showing geology, structure, and oil and gas fields in the Sterling 1 degree x 2 degrees quadrangle, Colorado, Nebraska, and Kansas

description: This release contains geospatial data digitized from the Map Showing Geology, Structure, and Oil and Gas Fields in the Sterling 1x2 Degree Quadrangle, Colorado, Nebraska, and Kansas (Scott, 1978) and was compiled as part of the National Geologic Synthesis project. The geospatial data depicts the geology of this quadrangle, which is dominated by Quaternary alluvial and aeolian deposits overlying Tertiary and Cretaceous sedimentary rock, including the Ogallala formation, the Fox Hills sandstone, and the Pierre shale. The included database includes spatial data depicting the locations of mapped geologic contacts and faults, polygons denoting the mapped surficial extent of geologic formations, and structural contours denoting the depth [...]
DOI: 10.5281/zenodo.7008334
title: Confocal data of Cretoquadratus fossilis, NIGP180657

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices for the specimen of <em>Cretoquadratus</em><strong> </strong><em>fossilis</em> (NIGP180657) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "Revisiting the <em>Raractocetus</em> fossils from Mesozoic and Cenozoic amber deposits (Coleoptera: Lymexylidae)" (DOI:10.3390/insects13090768). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 561 nm (DPSS 561-10) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software.
DOI: 10.5281/zenodo.7008333
title: Confocal data of Cretoquadratus fossilis, NIGP180657

description: This dataset contains the raw confocal laser scanning microscopy (CLSM) slices for the specimen of <em>Cretoquadratus</em><strong> </strong><em>fossilis</em> (NIGP180657) from mid-Cretaceous Burmese amber. This dataset is associated with the publication "Revisiting the <em>Raractocetus</em> fossils from Mesozoic and Cenozoic amber deposits (Coleoptera: Lymexylidae)" (DOI:10.3390/insects13090768). Confocal images were obtained with a Zeiss LSM710 confocal laser scanning microscope, using the 561 nm (DPSS 561-10) laser excitation line. The original CZI files are provided, which could be opened by the ZEISS ZEN software.
DOI: 10.5066/p9ew3n0d
title: Cone penetrometer and elevation measurement data of coastal wetland plant states for resilience quantification, Louisiana, USA (2019)

description: These datasets provide: 1) field-collected geotechnical data, and 2) Real-Time-Kinematic GPS elevation data for coastal salt marsh in the Port Sulphur area, Louisiana from 2019.
DOI: 10.6084/m9.figshare.20733037.v1
title: EC analysis date

description: Data from ECs analysis
DOI: 10.5281/zenodo.7023573
title: Everyday Augmented Conversation Videos Dataset (to delete)

description: This dataset builds on the Everyday Conversation Videos Dataset and includes augmented variants of those videos. The 160 videos in this dataset all depict about a minute long everyday conversations. For these, four different actors (A1-A4) acted out a set of eight scenarios (S1-S8) Here, the videos have been cropped, trimmed, and standardized to 720p at 30fps. We then added Snapchat filters to the videos by routing them through Snap Camera. Each video is then available in one of five filter conditions, where: F0: No filter added F01: Beautification filter F02: Subtle beautification filter F03: Face and body tattoo filter F1-F8: Scenario-specific filters
DOI: 10.5281/zenodo.7023572
title: Everyday Augmented Conversation Videos Dataset (to delete)

description: This dataset builds on the Everyday Conversation Videos Dataset and includes augmented variants of those videos. The 160 videos in this dataset all depict about a minute long everyday conversations. For these, four different actors (A1-A4) acted out a set of eight scenarios (S1-S8) Here, the videos have been cropped, trimmed, and standardized to 720p at 30fps. We then added Snapchat filters to the videos by routing them through Snap Camera. Each video is then available in one of five filter conditions, where: F0: No filter added F01: Beautification filter F02: Subtle beautification filter F03: Face and body tattoo filter F1-F8: Scenario-specific filters
DOI: 10.3886/e178921
title: Data and Code for: U.S. Embassy Air-Quality Tweets Led to Global Health Benefits

description: The World Health Organization estimates that over 90% of the world's population is exposed to hazardous levels of local air pollution. Air pollution is markedly worse in low- and middle-income countries yet air-quality monitoring is typically sparse. In 2008, the United States Embassy in Beijing began tweeting hourly air-quality information from a newly installed pollution monitor, dramatically improving the information on air quality available to Beijing residents. Since then, the United States has installed over 50 monitors around the world, tweeting real-time reports on air quality in those locations. Using spatially granular measurements of local air pollution from satellite data that span the globe, we employ variation in whether and when U.S. embassies installed monitors to evaluate the impact of air-quality information on pollution. We estimate that embassy monitors led to reductions in fine particulate concentration levels in host countries of 2-4 micrograms per cubic meter. Our central estimate of the annual monetized benefit of the decrease in premature mortality due to this reduction in pollution is 127 million dollars for the median city in 2019. Our findings point to the substantial benefits of improving the availability and salience of air-quality information in low- and middle-income countries.
description: We evaluate the impacts of the embassy monitoring program using satellite-derived measurements of pollution at 466 cities in 136 countries, of which 50 cities in 36 countries received embassy monitors by 2020. Smallest Geographic Unit: City
DOI: 10.3886/e178921v1
title: Data and Code for: U.S. Embassy Air-Quality Tweets Led to Global Health Benefits

description: The World Health Organization estimates that over 90% of the world's population is exposed to hazardous levels of local air pollution. Air pollution is markedly worse in low- and middle-income countries yet air-quality monitoring is typically sparse. In 2008, the United States Embassy in Beijing began tweeting hourly air-quality information from a newly installed pollution monitor, dramatically improving the information on air quality available to Beijing residents. Since then, the United States has installed over 50 monitors around the world, tweeting real-time reports on air quality in those locations. Using spatially granular measurements of local air pollution from satellite data that span the globe, we employ variation in whether and when U.S. embassies installed monitors to evaluate the impact of air-quality information on pollution. We estimate that embassy monitors led to reductions in fine particulate concentration levels in host countries of 2-4 micrograms per cubic meter. Our central estimate of the annual monetized benefit of the decrease in premature mortality due to this reduction in pollution is 127 million dollars for the median city in 2019. Our findings point to the substantial benefits of improving the availability and salience of air-quality information in low- and middle-income countries.
description: We evaluate the impacts of the embassy monitoring program using satellite-derived measurements of pollution at 466 cities in 136 countries, of which 50 cities in 36 countries received embassy monitors by 2020. Smallest Geographic Unit: City
DOI: 10.6084/m9.figshare.20739085
title: Efficacy of plasma atherogenic index in predicting malignancy in the presence of Prostate Imaging-Reporting and Data System 3 (PI-RADS 3) prostate lesions in multiparametric magnetic resonance imaging

description: The dataset of manuscript of Efficacy of plasma atherogenic index in predicting malignancy in the presence of Prostate Imaging-Reporting and Data System 3 (PI-RADS 3) prostate lesions in multiparametric magnetic resonance imaging
DOI: 10.6084/m9.figshare.20739085.v1
title: Efficacy of plasma atherogenic index in predicting malignancy in the presence of Prostate Imaging-Reporting and Data System 3 (PI-RADS 3) prostate lesions in multiparametric magnetic resonance imaging

description: The dataset of manuscript of Efficacy of plasma atherogenic index in predicting malignancy in the presence of Prostate Imaging-Reporting and Data System 3 (PI-RADS 3) prostate lesions in multiparametric magnetic resonance imaging
DOI: 10.57745/yc6dx8
title: RPG complété 2020 Région Midi-Pyrénées

description: RPG complété 2020. Complète le RPG campagne 2020 pour les départements de la région Midi-Pyrénées (09, 12, 31, 32, 46, 65, 81, 82). (contient les parcelles agricoles hors RPG) Données géographiques (vectorielles, shapefile), parcellaires. Sources : IGN, OSO/Cesbio. Traitements : INRAE US ODR, 2022.
DOI: 10.6084/m9.figshare.19617624
title: Fig1H-I_OMR

description: Source data from Bruckner et al., Figure 1H-I.
DOI: 10.6084/m9.figshare.19617624.v1
title: Fig1H-I_OMR

description: Source data from Bruckner et al., Figure 1H-I.
DOI: 10.6084/m9.figshare.19617645
title: Fig2B_vTely321NeuronNumber

description: Source data for Bruckner et al., 2022, Figure 2B.
DOI: 10.6084/m9.figshare.19617645.v1
title: Fig2B_vTely321NeuronNumber

description: Source data for Bruckner et al., 2022, Figure 2B.
DOI: 10.6084/m9.figshare.19623759
title: Fig2C-E_Arborization

description: Source data from Bruckner et al., 2022 Figure 2C-E.
DOI: 10.6084/m9.figshare.19623759.v1
title: Fig2C-E_Arborization

description: Source data from Bruckner et al., 2022 Figure 2C-E.
DOI: 10.6084/m9.figshare.19633245
title: Fig3A-B_ShollIntersections

description: Source data for Bruckner et al., 2022 Figure 3A-B.
DOI: 10.6084/m9.figshare.19633245.v1
title: Fig3A-B_ShollIntersections

description: Source data for Bruckner et al., 2022 Figure 3A-B.
DOI: 10.6084/m9.figshare.19633251
title: Fig3C-F_Sholl

description: Source data for Bruckner et al., 2022 Figure 3C-F.
DOI: 10.6084/m9.figshare.19633251.v1
title: Fig3C-F_Sholl

description: Source data for Bruckner et al., 2022 Figure 3C-F.
DOI: 10.6084/m9.figshare.19633269
title: Fig3G-J_FactorAnalysis

description: Source data for Bruckner et al., 2022 Figure 3G-J.
DOI: 10.6084/m9.figshare.19633269.v1
title: Fig3G-J_FactorAnalysis

description: Source data for Bruckner et al., 2022 Figure 3G-J.
DOI: 10.6084/m9.figshare.19633344
title: Fig4C-D_Monoassociation

description: Source data for Bruckner et al., 2022, Figure 4C-D.
DOI: 10.6084/m9.figshare.19633344.v1
title: Fig4C-D_Monoassociation

description: Source data for Bruckner et al., 2022, Figure 4C-D.
DOI: 10.6084/m9.figshare.19633347
title: Fig4F-J_irf8

description: Source data for Bruckner et al., 2022 Figure 4F-J.
DOI: 10.6084/m9.figshare.19633347.v1
title: Fig4F-J_irf8

description: Source data for Bruckner et al., 2022 Figure 4F-J.
DOI: 10.6084/m9.figshare.20722381
title: Fig5_MicroglialMorphology

description: Source data for Bruckner et al., 2022 Figure 5
DOI: 10.6084/m9.figshare.20722381.v1
title: Fig5_MicroglialMorphology

description: Source data for Bruckner et al., 2022 Figure 5
DOI: 10.6084/m9.figshare.20738500
title: Fig7B-D_c1qRNA

description: Source data for Bruckner et al., 2022 Figure 7 B-D
DOI: 10.6084/m9.figshare.20738500.v1
title: Fig7B-D_c1qRNA

description: Source data for Bruckner et al., 2022 Figure 7 B-D
DOI: 10.25574/51002
title: Chandra X-ray Observatory ObsId 51002
DOI: 10.25574/51007
title: Chandra X-ray Observatory ObsId 51007
DOI: 10.6084/m9.figshare.20738968
title: FigS3B-F_MicroglialPosition

description: Source data for Bruckner et al., 2022 Figure S3 B-F
DOI: 10.6084/m9.figshare.20738968.v1
title: FigS3B-F_MicroglialPosition

description: Source data for Bruckner et al., 2022 Figure S3 B-F
DOI: 10.25574/51014
title: Chandra X-ray Observatory ObsId 51014
DOI: 10.25574/51021
title: Chandra X-ray Observatory ObsId 51021
DOI: 10.25574/51026
title: Chandra X-ray Observatory ObsId 51026
DOI: 10.25574/51032
title: Chandra X-ray Observatory ObsId 51032
DOI: 10.25574/51034
title: Chandra X-ray Observatory ObsId 51034
DOI: 10.25574/51042
title: Chandra X-ray Observatory ObsId 51042
DOI: 10.25574/51049
title: Chandra X-ray Observatory ObsId 51049
DOI: 10.25574/51052
title: Chandra X-ray Observatory ObsId 51052
DOI: 10.25574/51066
title: Chandra X-ray Observatory ObsId 51066
DOI: 10.25574/51070
title: Chandra X-ray Observatory ObsId 51070
DOI: 10.25574/51075
title: Chandra X-ray Observatory ObsId 51075
DOI: 10.25574/51080
title: Chandra X-ray Observatory ObsId 51080
DOI: 10.25574/51084
title: Chandra X-ray Observatory ObsId 51084
DOI: 10.25574/51088
title: Chandra X-ray Observatory ObsId 51088
DOI: 10.25574/51092
title: Chandra X-ray Observatory ObsId 51092
DOI: 10.25574/51095
title: Chandra X-ray Observatory ObsId 51095
DOI: 10.25574/51098
title: Chandra X-ray Observatory ObsId 51098
DOI: 10.25574/51106
title: Chandra X-ray Observatory ObsId 51106
DOI: 10.25574/51108
title: Chandra X-ray Observatory ObsId 51108
DOI: 10.25574/51114
title: Chandra X-ray Observatory ObsId 51114
DOI: 10.25574/51121
title: Chandra X-ray Observatory ObsId 51121
DOI: 10.25574/51129
title: Chandra X-ray Observatory ObsId 51129
DOI: 10.25574/51136
title: Chandra X-ray Observatory ObsId 51136
DOI: 10.25574/51142
title: Chandra X-ray Observatory ObsId 51142
DOI: 10.25574/51144
title: Chandra X-ray Observatory ObsId 51144
DOI: 10.25574/51148
title: Chandra X-ray Observatory ObsId 51148
DOI: 10.25574/51150
title: Chandra X-ray Observatory ObsId 51150
DOI: 10.25574/51155
title: Chandra X-ray Observatory ObsId 51155
DOI: 10.25574/51162
title: Chandra X-ray Observatory ObsId 51162
DOI: 10.25574/51170
title: Chandra X-ray Observatory ObsId 51170
DOI: 10.25574/51172
title: Chandra X-ray Observatory ObsId 51172
DOI: 10.25574/51179
title: Chandra X-ray Observatory ObsId 51179
DOI: 10.25574/51189
title: Chandra X-ray Observatory ObsId 51189
DOI: 10.25574/51196
title: Chandra X-ray Observatory ObsId 51196
DOI: 10.25574/51202
title: Chandra X-ray Observatory ObsId 51202
DOI: 10.25574/51211
title: Chandra X-ray Observatory ObsId 51211
DOI: 10.25574/51216
title: Chandra X-ray Observatory ObsId 51216
DOI: 10.25574/51220
title: Chandra X-ray Observatory ObsId 51220
DOI: 10.25574/51225
title: Chandra X-ray Observatory ObsId 51225
DOI: 10.25574/51229
title: Chandra X-ray Observatory ObsId 51229
DOI: 10.25574/51236
title: Chandra X-ray Observatory ObsId 51236
DOI: 10.25919/76gt-hm36
title: Parkes observations for project P1105 semester 2021APRS_15

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: 10.25919/91c4-f052
title: Parkes observations for project P1105 semester 2021APRS_17

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.19604375
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, many 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 both in 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 bioaerosol-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. <i>Implications:</i> 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: 10.6084/m9.figshare.19604375.v2
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, many 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 both in 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 bioaerosol-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. <i>Implications:</i> 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.