cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20657338.v1
title: Supplimentary file-Fig.4-stage 4-excluding day 0-20 timepoint data.xlsx from Rapid brain development and reduced neuromodulator titres correlate with host shifts in <i>Rhagoletis pomonella</i>

description: Host shifts are considered a key generator of insect biodiversity. For insects, adaptation to new host plants often requires changes in larval/pupal development and behavioural preference toward new hosts. Neurochemicals play key roles in both development and adult behaviour and therefore provide a potential source for such synchronization. Here, we correlated life-history timing, brain development and corresponding levels of 14 neurochemicals in <i>Rhagoletis pomonella</i> (Diptera: Tephritidae), a species undergoing ecological speciation through an ongoing host shift from hawthorn to apple fruit. These races exhibit differences in pupal diapause timing as well as adult behavioural preference with respect to their hosts. This difference in behavioural preference is coupled with differences in neurophysiological response to host volatiles. We found that apple race pupae exhibited adult brain morphogenesis three weeks faster after an identical simulated winter than the hawthorn race, which correlated with significantly lower titres of several neurochemicals. In some cases, particularly biogenic amines, differences in titres were reflected in the mature adult stage, when host preference is exhibited. In summary, life-history timing, neurochemical titre and brain development can be coupled in this speciating system, providing new hypotheses for the origins of new species through host shifts.
DOI: 10.34740/kaggle/dsv/4145488
title: seq2lablecode
DOI: 10.3886/e179021
title: Explaining the Racial School Climate Gap: Evidence From Georgia

description: This manuscript positions school climate as a relevant school improvement strategy that has rightly garnered increasing attention from educational stakeholders on a national landscape. In so doing, I offer a critical, race conscious lens to the school climate literature by accentuating disparities in students’ schooling experiences across racial lines. Situating this exploration in a phenomenological variant of ecosystems theory (PVEST) framework, I examine a four-year panel of administrative data of middle and high school students in Georgia to better understand whether and to what extent students across racial-ethnic backgrounds espouse disparate perceptions of their schooling environments. In this study, I merge de-identified, student level responses to an annually administered school climate battery with school level demographic data to further explore variations in climate perceptions within and between schools. I replicate prior literature by showing that racial-ethnic minorities, particularly Black students, report far less favorable ratings of their schooling environments, relative to White students, on nearly all measures of school climate assessed. These results also suggest that variability in school climate perceptions remain when examined within schools, suggesting that racial school gaps are not fully explained by students attending schools in different settings. Further, I find several contextual factors influence students’ perceptions of school climate and the magnitude of the racial school climate gap, with Black teachers serving as potentially important protective factors for Black students. I argue that greater policy attention to school climate is unlikely to yield optimal and equitable returns for students of Color absent ancillary policy and practical prescriptions to the schooling conditions that influence disparities in students’ perceptions of their schooling environments.
DOI: 10.3886/e179021v1
title: Explaining the Racial School Climate Gap: Evidence From Georgia

description: This manuscript positions school climate as a relevant school improvement strategy that has rightly garnered increasing attention from educational stakeholders on a national landscape. In so doing, I offer a critical, race conscious lens to the school climate literature by accentuating disparities in students’ schooling experiences across racial lines. Situating this exploration in a phenomenological variant of ecosystems theory (PVEST) framework, I examine a four-year panel of administrative data of middle and high school students in Georgia to better understand whether and to what extent students across racial-ethnic backgrounds espouse disparate perceptions of their schooling environments. In this study, I merge de-identified, student level responses to an annually administered school climate battery with school level demographic data to further explore variations in climate perceptions within and between schools. I replicate prior literature by showing that racial-ethnic minorities, particularly Black students, report far less favorable ratings of their schooling environments, relative to White students, on nearly all measures of school climate assessed. These results also suggest that variability in school climate perceptions remain when examined within schools, suggesting that racial school gaps are not fully explained by students attending schools in different settings. Further, I find several contextual factors influence students’ perceptions of school climate and the magnitude of the racial school climate gap, with Black teachers serving as potentially important protective factors for Black students. I argue that greater policy attention to school climate is unlikely to yield optimal and equitable returns for students of Color absent ancillary policy and practical prescriptions to the schooling conditions that influence disparities in students’ perceptions of their schooling environments.
DOI: 10.3886/e179021v2
title: Explaining the Racial School Climate Gap: Evidence From Georgia

description: This manuscript positions school climate as a relevant school improvement strategy that has rightly garnered increasing attention from educational stakeholders on a national landscape. In so doing, I offer a critical, race conscious lens to the school climate literature by accentuating disparities in students’ schooling experiences across racial lines. Situating this exploration in a phenomenological variant of ecosystems theory (PVEST) framework, I examine a four-year panel of administrative data of middle and high school students in Georgia to better understand whether and to what extent students across racial-ethnic backgrounds espouse disparate perceptions of their schooling environments. In this study, I merge de-identified, student level responses to an annually administered school climate battery with school level demographic data to further explore variations in climate perceptions within and between schools. I replicate prior literature by showing that racial-ethnic minorities, particularly Black students, report far less favorable ratings of their schooling environments, relative to White students, on nearly all measures of school climate assessed. These results also suggest that variability in school climate perceptions remain when examined within schools, suggesting that racial school gaps are not fully explained by students attending schools in different settings. Further, I find several contextual factors influence students’ perceptions of school climate and the magnitude of the racial school climate gap, with Black teachers serving as potentially important protective factors for Black students. I argue that greater policy attention to school climate is unlikely to yield optimal and equitable returns for students of Color absent ancillary policy and practical prescriptions to the schooling conditions that influence disparities in students’ perceptions of their schooling environments.
DOI: 10.17608/k6.auckland.20760364
title: The activity of Aspergillus terreus ICMP 477 against antibiotic-sensitive and resistant strains of E. coli, K. pneumoniae, and S. aureus by zone of inhibition assay

description: To perform zone of inhibition (ZOI) testing, potato dextrose agar (PDA) plates were inoculated with a lawn of either antibiotic-sensitive <em>E. coli</em> (ATCC 25922) or resistant clinical isolates (CTX-M-9, CTX-M-14, CTX-M-15, NDM-1) or antibiotic-resistant <em>K. pneumoniae</em> (ATCC 700603, produces SHV-18). Similarly, Mueller-Hinton agar plates were inoculated with a lawn of either antibiotic-sensitive <em>S. aureus</em> (ATCC 29213) or antibiotic-resistant <em>S. aureus</em> (ATCC 33593). ICMP 477 was obtained from Manaaki Whenua - Landcare Research and grown on PDA plates for 36 days and fungal plugs removed using a 6 mm punch biopsy tool (Amtech Medical, New Zealand). Fungal plugs were placed onto the bacterial lawns, alongside PDA plugs containing no fungus as a control. Plates were incubated inverted at 37°C for 24 h before measuring any zones of inhibition (in mm) produced. A zone of 6 mm = no inhibition. Experiments were performed using three biological replicates with three technical replicates each.
DOI: 10.6084/m9.figshare.20760382.v1
title: PM Exposure and Lung Function Impairment among Fiber cement Industry Workers

description: We presented on the correlation between Particulate Matter (PM) 2.5 exposure amongst the workers as well as lung function impairment due to the PM2.5 exposure. In this paper, the research team also conducted health examinations on workers as strengthening the assessment of exposure.
DOI: 10.26188/20759293
title: A new method employing species-specific thresholding identifies acoustically overlapping bats.

description: Acoustic monitoring to collect free-flying acoustic data was conducted at a 137 sites. Within each site, echolocation calls were recorded in zero-crossing analysis format using one Anabat Express acoustic recorder (Titley Scientific, Brisbane, Australia). We performed double blind manual checking on eight randomly selected sites using Anabat Insight v1.9.7 (Titley Scientific, 2019), by visual inspection and measurement of discriminating call characteristics in zero-crossing. Site replication was used to minimize false negatives, each site being surveyed for six consecutive nights. The presence of a bat was defined as a sequence of a minimum of ten recognisable echolocation calls per species. the data set includes the raw data and the manually identified data which was used to apply species- specific thresholding as outlined in the manuscript.
DOI: 10.26188/20759293.v1
title: A new method employing species-specific thresholding identifies acoustically overlapping bats.

description: Acoustic monitoring to collect free-flying acoustic data was conducted at a 137 sites. Within each site, echolocation calls were recorded in zero-crossing analysis format using one Anabat Express acoustic recorder (Titley Scientific, Brisbane, Australia). We performed double blind manual checking on eight randomly selected sites using Anabat Insight v1.9.7 (Titley Scientific, 2019), by visual inspection and measurement of discriminating call characteristics in zero-crossing. Site replication was used to minimize false negatives, each site being surveyed for six consecutive nights. The presence of a bat was defined as a sequence of a minimum of ten recognisable echolocation calls per species. the data set includes the raw data and the manually identified data which was used to apply species- specific thresholding as outlined in the manuscript.
DOI: 10.6084/m9.figshare.20760382
title: PM Exposure and Lung Function Impairment among Fiber cement Industry Workers

description: The authors presented on the correlation between Particulate Matter (PM) 2.5 exposure amongst the workers as well as lung function impairment due to the PM2.5 exposure. In this paper, the research team also conducted health examinations on workers as strengthening the assessment of exposure.
DOI: 10.6084/m9.figshare.20760382.v3
title: PM Exposure and Lung Function Impairment among Fiber cement Industry Workers

description: The authors presented on the correlation between Particulate Matter (PM) 2.5 exposure amongst the workers as well as lung function impairment due to the PM2.5 exposure. In this paper, the research team also conducted health examinations on workers as strengthening the assessment of exposure.
DOI: 10.6084/m9.figshare.20760382.v2
title: PM Exposure and Lung Function Impairment among Fiber cement Industry Workers

description: We presented on the correlation between Particulate Matter (PM) 2.5 exposure amongst the workers as well as lung function impairment due to the PM2.5 exposure. In this paper, the research team also conducted health examinations on workers as strengthening the assessment of exposure.
DOI: 10.34740/kaggle/dsv/4145532
title: BBC News
DOI: 10.34740/kaggle/ds/2448158
title: Salinisporaarenicola
DOI: 10.26188/20365539
title: A new method employing species-specific thresholding identifies acoustically overlapping bats.

description: Acoustic monitoring to collect free-flying acoustic data was conducted at a 137 sites. Within each site, echolocation calls were recorded in zero-crossing analysis format using one Anabat Express acoustic recorder (Titley Scientific, Brisbane, Australia). We performed double blind manual checking on eight randomly selected sites using Anabat Insight v1.9.7 (Titley Scientific, 2019), by visual inspection and measurement of discriminating call characteristics in zero-crossing. Site replication was used to minimize false negatives, each site being surveyed for six consecutive nights. The presence of a bat was defined as a sequence of a minimum of ten recognisable echolocation calls per species. The data set includes the raw data and the manually identified data which was used to apply species- specific thresholding as outlined in the manuscript.
DOI: 10.25574/55501
title: Chandra X-ray Observatory ObsId 55501
DOI: 10.25574/55511
title: Chandra X-ray Observatory ObsId 55511
DOI: 10.25574/55518
title: Chandra X-ray Observatory ObsId 55518
DOI: 10.25574/55523
title: Chandra X-ray Observatory ObsId 55523
DOI: 10.25574/55530
title: Chandra X-ray Observatory ObsId 55530
DOI: 10.25574/55536
title: Chandra X-ray Observatory ObsId 55536
DOI: 10.25574/55538
title: Chandra X-ray Observatory ObsId 55538
DOI: 10.25574/55542
title: Chandra X-ray Observatory ObsId 55542
DOI: 10.25574/55546
title: Chandra X-ray Observatory ObsId 55546
DOI: 10.25574/55552
title: Chandra X-ray Observatory ObsId 55552
DOI: 10.25574/55558
title: Chandra X-ray Observatory ObsId 55558
DOI: 10.25574/55563
title: Chandra X-ray Observatory ObsId 55563
DOI: 10.25574/55568
title: Chandra X-ray Observatory ObsId 55568
DOI: 10.25574/55574
title: Chandra X-ray Observatory ObsId 55574
DOI: 10.25574/55583
title: Chandra X-ray Observatory ObsId 55583
DOI: 10.25574/55588
title: Chandra X-ray Observatory ObsId 55588
DOI: 10.25574/55590
title: Chandra X-ray Observatory ObsId 55590
DOI: 10.25574/55595
title: Chandra X-ray Observatory ObsId 55595
DOI: 10.25574/55598
title: Chandra X-ray Observatory ObsId 55598
DOI: 10.25574/55600
title: Chandra X-ray Observatory ObsId 55600
DOI: 10.25574/55602
title: Chandra X-ray Observatory ObsId 55602
DOI: 10.25574/55605
title: Chandra X-ray Observatory ObsId 55605
DOI: 10.25574/55607
title: Chandra X-ray Observatory ObsId 55607
DOI: 10.25574/55610
title: Chandra X-ray Observatory ObsId 55610
DOI: 10.25574/55613
title: Chandra X-ray Observatory ObsId 55613
DOI: 10.25574/55615
title: Chandra X-ray Observatory ObsId 55615
DOI: 10.25574/55617
title: Chandra X-ray Observatory ObsId 55617
DOI: 10.25574/55619
title: Chandra X-ray Observatory ObsId 55619
DOI: 10.25574/55621
title: Chandra X-ray Observatory ObsId 55621
DOI: 10.25574/55624
title: Chandra X-ray Observatory ObsId 55624
DOI: 10.25574/55626
title: Chandra X-ray Observatory ObsId 55626
DOI: 10.25574/55629
title: Chandra X-ray Observatory ObsId 55629
DOI: 10.25574/55631
title: Chandra X-ray Observatory ObsId 55631
DOI: 10.25574/55634
title: Chandra X-ray Observatory ObsId 55634
DOI: 10.25574/55636
title: Chandra X-ray Observatory ObsId 55636
DOI: 10.25574/55640
title: Chandra X-ray Observatory ObsId 55640
DOI: 10.25574/55642
title: Chandra X-ray Observatory ObsId 55642
DOI: 10.25574/55647
title: Chandra X-ray Observatory ObsId 55647
DOI: 10.25574/55649
title: Chandra X-ray Observatory ObsId 55649
DOI: 10.25574/55653
title: Chandra X-ray Observatory ObsId 55653
DOI: 10.25574/55655
title: Chandra X-ray Observatory ObsId 55655
DOI: 10.25574/55660
title: Chandra X-ray Observatory ObsId 55660
DOI: 10.25574/55662
title: Chandra X-ray Observatory ObsId 55662
DOI: 10.25574/55667
title: Chandra X-ray Observatory ObsId 55667
DOI: 10.25574/55669
title: Chandra X-ray Observatory ObsId 55669
DOI: 10.25574/55672
title: Chandra X-ray Observatory ObsId 55672
DOI: 10.25574/55674
title: Chandra X-ray Observatory ObsId 55674
DOI: 10.25574/55677
title: Chandra X-ray Observatory ObsId 55677
DOI: 10.25574/55679
title: Chandra X-ray Observatory ObsId 55679
DOI: 10.25574/55683
title: Chandra X-ray Observatory ObsId 55683
DOI: 10.25574/55685
title: Chandra X-ray Observatory ObsId 55685
DOI: 10.25574/55688
title: Chandra X-ray Observatory ObsId 55688
DOI: 10.25574/55690
title: Chandra X-ray Observatory ObsId 55690
DOI: 10.25574/55694
title: Chandra X-ray Observatory ObsId 55694
DOI: 10.25574/55696
title: Chandra X-ray Observatory ObsId 55696
DOI: 10.25574/55703
title: Chandra X-ray Observatory ObsId 55703
DOI: 10.25574/55705
title: Chandra X-ray Observatory ObsId 55705
DOI: 10.25574/55710
title: Chandra X-ray Observatory ObsId 55710
DOI: 10.25574/55712
title: Chandra X-ray Observatory ObsId 55712
DOI: 10.25574/55729
title: Chandra X-ray Observatory ObsId 55729
DOI: 10.25574/55731
title: Chandra X-ray Observatory ObsId 55731
DOI: 10.25574/55734
title: Chandra X-ray Observatory ObsId 55734
DOI: 10.25574/55736
title: Chandra X-ray Observatory ObsId 55736
DOI: 10.25574/55739
title: Chandra X-ray Observatory ObsId 55739
DOI: 10.25574/55741
title: Chandra X-ray Observatory ObsId 55741
DOI: 10.25574/55745
title: Chandra X-ray Observatory ObsId 55745
DOI: 10.25574/55747
title: Chandra X-ray Observatory ObsId 55747
DOI: 10.5281/zenodo.7039681
title: A synchronized estimation of hourly ground-level concentrations of six criteria air pollutants in China using data from the first geostationary air-quality monitoring satellite

description: This dataset provides the ground-level concentrations of six criteria air pollutants estimated from the first geostationary air quality monitoring satellite GEMS with a multi-output random forest model.
DOI: 10.5281/zenodo.7039680
title: A synchronized estimation of hourly ground-level concentrations of six criteria air pollutants in China using data from the first geostationary air-quality monitoring satellite

description: This dataset provides the ground-level concentrations of six criteria air pollutants estimated from the first geostationary air quality monitoring satellite GEMS with a multi-output random forest model.
DOI: 10.6084/m9.figshare.20751760
title: Source Data.zip

description: Source Data of the NC paper: <strong>Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space</strong>
DOI: 10.6084/m9.figshare.20751760.v1
title: Source Data.zip

description: Source Data of the NC paper: <strong>Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space</strong>
DOI: 10.6084/m9.figshare.20761138
title: Supplementary Tables for 'New Insights into the Petrogenesis of Voluminous Crustal-signature Silicic Volcanic Rocks of the Toba Eruptions (Indonesia)'

description: Supplementary Tables S1 to S4 for manuscript ' <strong>New Insights into the Petrogenesis of Voluminous Crustal-signature Silicic Volcanic Rocks of the Toba Eruptions (Indonesia)'</strong>
DOI: 10.6084/m9.figshare.20761138.v1
title: Supplementary Tables for 'New Insights into the Petrogenesis of Voluminous Crustal-signature Silicic Volcanic Rocks of the Toba Eruptions (Indonesia)'

description: Supplementary Tables S1 to S4 for manuscript ' <strong>New Insights into the Petrogenesis of Voluminous Crustal-signature Silicic Volcanic Rocks of the Toba Eruptions (Indonesia)'</strong>
DOI: 10.6084/m9.figshare.20761177
title: Data for "Rapid cardiac thermal acclimation in wild anadromous Arctic char (Salvelinus alpinus)"

description: Heart rate and thermal tolerance data for the JEB article titled "<strong>Rapid cardiac thermal acclimation in wild anadromous Arctic char (Salvelinus alpinus)"</strong>
DOI: 10.6084/m9.figshare.20761177.v1
title: Data for "Rapid cardiac thermal acclimation in wild anadromous Arctic char (Salvelinus alpinus)"

description: Heart rate and thermal tolerance data for the JEB article titled "<strong>Rapid cardiac thermal acclimation in wild anadromous Arctic char (Salvelinus alpinus)"</strong>
DOI: 10.5281/zenodo.3828266
title: Macrofossils in sediments from Genggahai Lake on the Tibetan Plateau

description: The data include the remains of Macrofossils from the genghai sedimentary core since nearly 16 Ka. Based on the selection and identification of submerged plants, Cladocera and diatom fossils in the sediments, the changes of the main aquatic communities in the lake were analyzed.
DOI: 10.5281/zenodo.3828248
title: Macrofossils in sediments from Genggahai Lake on the Tibetan Plateau

description: The data include the remains of Macrofossils from the genghai sedimentary core since nearly 16 Ka. Based on the selection and identification of submerged plants, Cladocera and diatom fossils in the sediments, the changes of the main aquatic communities in the lake were analyzed.
DOI: 10.25574/55751
title: Chandra X-ray Observatory ObsId 55751
DOI: 10.25574/55753
title: Chandra X-ray Observatory ObsId 55753
DOI: 10.25574/55757
title: Chandra X-ray Observatory ObsId 55757
DOI: 10.25574/55759
title: Chandra X-ray Observatory ObsId 55759
DOI: 10.25574/55764
title: Chandra X-ray Observatory ObsId 55764
DOI: 10.25574/55766
title: Chandra X-ray Observatory ObsId 55766
DOI: 10.25574/55771
title: Chandra X-ray Observatory ObsId 55771
DOI: 10.25574/55772
title: Chandra X-ray Observatory ObsId 55772
DOI: 10.25574/55776
title: Chandra X-ray Observatory ObsId 55776
DOI: 10.25574/55778
title: Chandra X-ray Observatory ObsId 55778
DOI: 10.25574/55783
title: Chandra X-ray Observatory ObsId 55783
DOI: 10.25574/55785
title: Chandra X-ray Observatory ObsId 55785
DOI: 10.25574/55790
title: Chandra X-ray Observatory ObsId 55790
DOI: 10.25574/55792
title: Chandra X-ray Observatory ObsId 55792
DOI: 10.25574/55796
title: Chandra X-ray Observatory ObsId 55796
DOI: 10.25574/55798
title: Chandra X-ray Observatory ObsId 55798
DOI: 10.25574/55802
title: Chandra X-ray Observatory ObsId 55802
DOI: 10.25574/55804
title: Chandra X-ray Observatory ObsId 55804
DOI: 10.25574/55807
title: Chandra X-ray Observatory ObsId 55807
DOI: 10.25574/55809
title: Chandra X-ray Observatory ObsId 55809
DOI: 10.25574/55811
title: Chandra X-ray Observatory ObsId 55811
DOI: 10.25574/55813
title: Chandra X-ray Observatory ObsId 55813
DOI: 10.25574/55815
title: Chandra X-ray Observatory ObsId 55815
DOI: 10.25574/55817
title: Chandra X-ray Observatory ObsId 55817
DOI: 10.25574/55819
title: Chandra X-ray Observatory ObsId 55819
DOI: 10.25574/55821
title: Chandra X-ray Observatory ObsId 55821
DOI: 10.25574/55828
title: Chandra X-ray Observatory ObsId 55828
DOI: 10.25574/55830
title: Chandra X-ray Observatory ObsId 55830
DOI: 10.25574/55832
title: Chandra X-ray Observatory ObsId 55832
DOI: 10.25574/55835
title: Chandra X-ray Observatory ObsId 55835
DOI: 10.25574/55840
title: Chandra X-ray Observatory ObsId 55840
DOI: 10.25574/55842
title: Chandra X-ray Observatory ObsId 55842
DOI: 10.25574/55847
title: Chandra X-ray Observatory ObsId 55847
DOI: 10.25574/55849
title: Chandra X-ray Observatory ObsId 55849
DOI: 10.25574/55854
title: Chandra X-ray Observatory ObsId 55854
DOI: 10.25574/55857
title: Chandra X-ray Observatory ObsId 55857
DOI: 10.25574/55863
title: Chandra X-ray Observatory ObsId 55863
DOI: 10.25574/55865
title: Chandra X-ray Observatory ObsId 55865
DOI: 10.25574/55872
title: Chandra X-ray Observatory ObsId 55872
DOI: 10.25574/55874
title: Chandra X-ray Observatory ObsId 55874
DOI: 10.25574/55881
title: Chandra X-ray Observatory ObsId 55881