cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25444/nhlbi.24963846.v1
title: Parry et al. 2024_Subcellular Manuscript_Figure 7 Data.pzfx

description: Mitochondria within skeletal muscle cells are considered to be located either between the muscle contractile apparatus (interfibrillar mitochondria, IFM) or in large pools beneath the cell membrane (subsarcolemmal mitochondria, SSM), with several structural and functional differences reported between IFM and SSM. However, recent 3D imaging studies suggest that proximity to capillaries embedded in sarcolemmal grooves, rather than proximity to the sarcolemma itself, may drive the accumulation of mitochondria near the cell periphery (paravascular mitochondria, PVM). To evaluate the impact of capillary versus sarcolemmal proximity, we compared the structure and function of skeletal muscle mitochondria located either in large pools lateral to embedded capillaries (PVM), adjacent to the sarcolemma but not in PVM pools (SSM), or interspersed between sarcomeres (IFM). Mitochondrial morphology and interactions were assessed by 3D electron microscopy coupled with machine learning segmentation while mitochondrial energy conversion was assessed by two-photon microscopy of mitochondrial membrane potential, content, calcium, NADH redox and flux in live, intact cells. Structurally, while PVM and SSM were similarly larger than IFM, PVM were more compact and had greater mitochondrial connectivity compared to both IFM and SSM. Functionally, PVM had similar or greater basal NADH flux compared to SSM and IFM, respectively, despite a more oxidized NADH pool and a greater membrane potential, signifying a greater activation of the electron transport chain in PVM. Together, these data indicate proximity to capillaries has a greater impact on mitochondrial energy conversion and distribution in skeletal muscle than the sarcolemma alone.
DOI: 10.25444/nhlbi.24963846
title: Parry et al. 2024_Subcellular Manuscript_Figure 7 Data.pzfx

description: Mitochondria within skeletal muscle cells are considered to be located either between the muscle contractile apparatus (interfibrillar mitochondria, IFM) or in large pools beneath the cell membrane (subsarcolemmal mitochondria, SSM), with several structural and functional differences reported between IFM and SSM. However, recent 3D imaging studies suggest that proximity to capillaries embedded in sarcolemmal grooves, rather than proximity to the sarcolemma itself, may drive the accumulation of mitochondria near the cell periphery (paravascular mitochondria, PVM). To evaluate the impact of capillary versus sarcolemmal proximity, we compared the structure and function of skeletal muscle mitochondria located either in large pools lateral to embedded capillaries (PVM), adjacent to the sarcolemma but not in PVM pools (SSM), or interspersed between sarcomeres (IFM). Mitochondrial morphology and interactions were assessed by 3D electron microscopy coupled with machine learning segmentation while mitochondrial energy conversion was assessed by two-photon microscopy of mitochondrial membrane potential, content, calcium, NADH redox and flux in live, intact cells. Structurally, while PVM and SSM were similarly larger than IFM, PVM were more compact and had greater mitochondrial connectivity compared to both IFM and SSM. Functionally, PVM had similar or greater basal NADH flux compared to SSM and IFM, respectively, despite a more oxidized NADH pool and a greater membrane potential, signifying a greater activation of the electron transport chain in PVM. Together, these data indicate proximity to capillaries has a greater impact on mitochondrial energy conversion and distribution in skeletal muscle than the sarcolemma alone.
DOI: 10.5281/zenodo.10475427
title: phronima_sedentaria_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.10475426
title: phronima_sedentaria_zanfona_1.fasta.gz

description: .
DOI: 10.6073/pasta/ad0badd89ef1c729c3e6bc039090c10e
title: Rapid conversion of added nitrate to nitrous oxide and dinitrogen in northern forest soil

description: This data package contains the data from the following publication:
 Kulkarni, M.V., Yavitt, J.B., & Groffman, P.M. (2017). Rapid
 conversion of added nitrate to nitrous oxide and dinitrogen in
 northern forest soil. Geomicrobiology Journal 34(8): 670-676.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the USDA
 Forest Service, Northern Research Station.
DOI: 10.25810/zb7c-gf43.47
title: Oceania Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - November 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/bd97ffb0294fc844cd0a09df95038044
title: Hubbard Brook Experimental Forest: Landscape scale (valley-wide) soil carbon and nitrogen cycling data

description: The valley-wide plots are a grid of 431 sites along fifteen N–S transects established at 500-m intervals 
spanning the entire Hubbard Brook Valley. This dataset includes total soil carbon, nitrogen and organic 
matter content, potential net nitrogen mineralization and nitrification rates, microbial respiration rates, 
soil water content and holding capacity, soil ammonium and nitrate concentrations, soil pH, and tree composition 
in a subset of 100 randomly selected plots in 2000.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
 An analysis of these data can be found in: 
Venterea, R. T., Lovett, G. M., Groffman, P. M., & Schwarz, P. A. (2003). Landscape patterns of net nitrification in a northern hardwood-conifer forest. Soil Science Soc. Amer. J., 67, 527–539. https://doi.org/10.2136/sssaj2003.5270
DOI: 10.6073/pasta/5f3f41d567ee60fc6352684164dc20bd
title: Hubbard Brook Experimental Forest: Ice Storm Experiment Trace Gas

description: Trace gas fluxes were measured using the in situ
 chamber design similar to that described by Bowden and others (1990,
 1991). Static gas soil sampling chambers (four per plot) of 20 cm
 diameter (ID) polyvinyl chloride (PVC) were placed on permanently
 installed PVC base rings immediately prior to measurement. At 0, 10,
 20, and 30 min following placement of the chamber on the base, 8-mL
 gas samples were collected from gas sampling ports in the center of
 the chamber top by syringe. Samples were transferred to evacuated
 glass vials and stored at room temperature prior to analysis by gas
 chromatography (GC). CO2, N2O, and CH4 were analyzed on a Shimadzu
 GC-14 GC with thermal conductivity (CO2), electron capture (N2O), and
 flame ionization (CH4) detectors. These GC’s were capable of detecting
 ambient levels of these gases. Fluxes were calculated from the linear
 rate of change in gas concentration, the chamber internal volume and
 soil surface area. Flux rate calculations were not corrected for
 actual in situ temperature and pressure. Single points were removed
 from regressions if they were more than six times higher or lower than
 the other three values or if they contradicted a clear trend in the
 other three points. This procedure prevents inclusion of high flux
 rates based on non-significant regressions. Non-significant
 regressions were used in flux calculations to avoid biasing the
 statistical distribution of rates by setting all non-significant
 regressions to zero. Gas samples were collected prior to any icing
 treatment in September and October 2015, and then for 2 years after
 the icing treatments were initially applied (1st icing: 1/27/16; 2nd
 icing, only in MIDx2 plots: 1/14/17) in August 2016, July 2017, and
 October 2017.
DOI: 10.18434/mds2-3042
title: Measuring the permittivity of Fused Silica with planar on-wafer structures up to 325 GHz
DOI: 10.6073/pasta/a912e690ebe20d6a10352143c0c8a24d
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 1, 1963 - present

description: These data are monthly fluxes of solutes in stream water measured in
 watersheds of the Hubbard Brook Experimental Forest and are a part of
 the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a
 long-term record of stream and precipitation chemistry and volume. The
 solute fluxes in stream water are calculated as the product of the
 volume of stream water and solute concentrations. There are nine gaged
 watersheds at the Hubbard Brook Experimental Forest, some of which
 have been subjected to experimental manipulations. The calculation of
 fluxes is currently supervised by John Campbell (US Forest Service).
 The long-term stream water record is collected and maintained by the
 US Forest Service. The collection and management of the long-term
 stream and precipitation chemistry record was initiated in 1963 by
 Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M.
 Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES)
 and Jeff Merriam (USFS) and the dataset is curated and maintained by a
 team of researchers: Emma Rosi (Cary IES), Emily Bernhardt (Duke),
 Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH),
 Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott
 Bailey (USFS). Current Financial Support for HBWatER is provided by
 NSF LTREB # 1907683 and the USDA Forest Service Northern Research
 Station.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the US Forest
 Service, Northern Research Station.
DOI: 10.6073/pasta/1a22e1a37f6802c632426f137d7f9049
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 2, 1963 - present

description: These data are monthly fluxes of solutes in stream water measured in
 watersheds of the Hubbard Brook Experimental Forest and are a part of
 the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a
 long-term record of stream and precipitation chemistry and volume. The
 solute fluxes in stream water are calculated as the product of the
 volume of stream water and solute concentrations. There are nine gaged
 watersheds at the Hubbard Brook Experimental Forest, some of which
 have been subjected to experimental manipulations. The calculation of
 fluxes is currently supervised by John Campbell (US Forest Service).
 The long-term stream water record is collected and maintained by the
 US Forest Service. The collection and management of the long-term
 stream and precipitation chemistry record was initiated in 1963 by
 Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M.
 Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES)
 and Jeff Merriam (USFS) and the dataset is curated and maintained by a
 team of researchers: Emma Rosi (Cary IES), Emily Bernhardt (Duke),
 Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH),
 Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott
 Bailey (USFS). Current Financial Support for HBWatER is provided by
 NSF LTREB # 1907683 and the USDA Forest Service Northern Research
 Station.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the US Forest
 Service, Northern Research Station.
DOI: 10.6073/pasta/59ec30d409d3ef05e5f76f48eb18d325
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 4, 1963 - present

description: These data are monthly fluxes of solutes in stream water measured in
 watersheds of the Hubbard Brook Experimental Forest and are a part of
 the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a
 long-term record of stream and precipitation chemistry and volume. The
 solute fluxes in stream water are calculated as the product of the
 volume of stream water and solute concentrations. There are nine gaged
 watersheds at the Hubbard Brook Experimental Forest, some of which
 have been subjected to experimental manipulations. The calculation of
 fluxes is currently supervised by John Campbell (US Forest Service).
 The long-term stream water record is collected and maintained by the
 US Forest Service. The collection and management of the long-term
 stream and precipitation chemistry record was initiated in 1963 by
 Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M.
 Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES)
 and Jeff Merriam (USFS) and the dataset is curated and maintained by a
 team of researchers: Emma Rosi (Cary IES), Emily Bernhardt (Duke),
 Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH),
 Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott
 Bailey (USFS). Current Financial Support for HBWatER is provided by
 NSF LTREB # 1907683 and the USDA Forest Service Northern Research
 Station.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the US Forest
 Service, Northern Research Station.
DOI: 10.6073/pasta/a471b540dd141e361b137bad8fc92389
title: Hubbard Brook Experimental Forest: Chemistry of Streamwater – Monthly Fluxes, Watershed 5, 1963 - present

description: These data are monthly fluxes of solutes in stream water measured in
 watersheds of the Hubbard Brook Experimental Forest and are a part of
 the Hubbard Brook Watershed Ecosystem Record (HBWatER), which is a
 long-term record of stream and precipitation chemistry and volume. The
 solute fluxes in stream water are calculated as the product of the
 volume of stream water and solute concentrations. There are nine gaged
 watersheds at the Hubbard Brook Experimental Forest, some of which
 have been subjected to experimental manipulations. The calculation of
 fluxes is currently supervised by John Campbell (US Forest Service).
 The long-term stream water record is collected and maintained by the
 US Forest Service. The collection and management of the long-term
 stream and precipitation chemistry record was initiated in 1963 by
 Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M.
 Johnson. HBWatER is currently sustained by Tammy Wooster (Cary IES)
 and Jeff Merriam (USFS) and the dataset is curated and maintained by a
 team of researchers: Emma Rosi (Cary IES), Emily Bernhardt (Duke),
 Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH),
 Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott
 Bailey (USFS). Current Financial Support for HBWatER is provided by
 NSF LTREB # 1907683 and the USDA Forest Service Northern Research
 Station.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the US Forest
 Service, Northern Research Station.
DOI: 10.6073/pasta/87a42479bfcaaa2d3cea6dd087eba4a4
title: Long-term measurements of microbial biomass and activity at the Hubbard Brook Experimental Forest 1994 – present

description: Long-term monitoring of soil nitrate (NO3-) and ammonium (NH4+)
 concentrations, microbial biomass carbon (C) and nitrogen (N) content,
 microbial respiration, potential nitrification and N mineralization
 rates, pH, and denitrification potential has been ongoing at the
 Hubbard Brook Experimental Forest since 1994. Samples have been
 collected in the Bear Brook Watershed (west of Watershed 6) beginning
 in 1994. In 1998, our sampling regime was extended to Watershed 1 in
 an effort to monitor and quantify microbial response to a
 whole-watershed calcium addition.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the USDA
 Forest Service, Northern Research Station.
DOI: 10.6073/pasta/1391b5fa8c342a30df1957a78b38096e
title: Hubbard Brook Experimental Forest: Daily Precipitation Rain Gage Measurements, 1956 - present

description: Precipitation has been measured at the Hubbard Brook Experimental Forest using rain gauges located in or around each watershed since 1956. Three types of rain gauges have been used: standard, mechanical weight recording, and electronic weight recording. Between 1956 and 2014, precipitation was measured weekly at standard gages located at 24 stations in or near gauged watersheds and at the headquarters building. Weight-recording gauges were located at 7 of the 24 stations and capture a continuous strip-chart record. Weekly totals were prorated using daily totals from the nearest recording gauges. Beginning in 2011, electronic weighing rain gauges were implemented to measure 15-minute precipitation. The number of precipitation stations was reduced to 10, when each station was fully converted to an electronic gauge for measuring 15-minute and daily precipitation beginning in 2015. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.5281/zenodo.10475209
title: IPI-VUGC: Acceptance/Annoyance and Video Quality of Vertically Oriented User Generated Videos

description: IPI-VUGC is a publicly available dataset of vertically oriented user generated video content that are typically found in online social media platforms. 

It consists of 48 unique SRCs compressed at 6 different rates, resulting in 336 videos in total. Two sets of experiments were conducted to collect both Quality of Experience labels in Acceptance/Annoyance paradigm and traditional video quality scores. The experiments were conducted in laboratory conditions at the facilities of Nantes University, France. All collected individual and mean opinion scores are shared with the community. More information regarding the dataset can be found in the ReadMe file. For further questions, please send an email to the author emails listed in the ReadMe File.
DOI: 10.5281/zenodo.10475210
title: IPI-VUGC: Acceptance/Annoyance and Video Quality of Vertically Oriented User Generated Videos

description: IPI-VUGC is a publicly available dataset of vertically oriented user generated video content that are typically found in online social media platforms. 

It consists of 48 unique SRCs compressed at 6 different rates, resulting in 336 videos in total. Two sets of experiments were conducted to collect both Quality of Experience labels in Acceptance/Annoyance paradigm and traditional video quality scores. The experiments were conducted in laboratory conditions at the facilities of Nantes University, France. All collected individual and mean opinion scores are shared with the community. More information regarding the dataset can be found in the ReadMe file. For further questions, please send an email to the author emails listed in the ReadMe File.
DOI: 10.5281/zenodo.10475367
title: IPI-VUGC: Acceptance/Annoyance and Video Quality of Vertically Oriented User Generated Videos

description: IPI-VUGC is a publicly available dataset of vertically oriented user generated video content that are typically found in online social media platforms. 

It consists of 48 unique SRCs compressed at 6 different rates, resulting in 336 videos in total. Two sets of experiments were conducted to collect both Quality of Experience labels in Acceptance/Annoyance paradigm and traditional video quality scores. The experiments were conducted in laboratory conditions at the facilities of Nantes University, France. All collected individual and mean opinion scores are shared with the community. More information regarding the dataset can be found in the ReadMe file. For further questions, please send an email to the author emails listed in the ReadMe File.
DOI: 10.25810/q1-ts57.39
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - November 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.10474641
title: Dataset for Machine Learning Based Resource Utilization Prediction in the Computing Continuum

description: This dataset provides the required data for training and testing the model for Resource Utilization Prediction.The source code is available at:https://github.com/MyGodItsFull0fStars/alibaba_clusterdata/tree/master/cluster-trace-gpu-v2020/prediction
DOI: 10.5281/zenodo.10474642
title: Dataset for Machine Learning Based Resource Utilization Prediction in the Computing Continuum

description: This dataset provides the required data for training and testing the model for Resource Utilization Prediction.The source code is available at:https://github.com/MyGodItsFull0fStars/alibaba_clusterdata/tree/master/cluster-trace-gpu-v2020/prediction
DOI: 10.25810/37f9-1j65.68
title: Spanish Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - November 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.24969018
title: <b>Reshaping China's Trade Pattern through the Regional Comprehensive Economic Partnership (RCEP): A Combined Perspective of WITS-SMART Model and Input-Output Analysis</b>

description: The dataset ( Excel files ) was generated for the article of <b>Reshaping China's Trade Pattern through the Regional Comprehensive Economic Partnership (RCEP): A Combined Perspective of WITS-SMART Model and Input-Output Analysis</b>. Original dataset was downloaded from Wold Bank (https://wits.worldbank.org/), and processed under two different scenarios by the author based on nations / association, namely Australia, New Zealand, Japan, Korea and ASEAN.
DOI: 10.6084/m9.figshare.24969018.v1
title: <b>Reshaping China's Trade Pattern through the Regional Comprehensive Economic Partnership (RCEP): A Combined Perspective of WITS-SMART Model and Input-Output Analysis</b>

description: The dataset ( Excel files ) was generated for the article of <b>Reshaping China's Trade Pattern through the Regional Comprehensive Economic Partnership (RCEP): A Combined Perspective of WITS-SMART Model and Input-Output Analysis</b>. Original dataset was downloaded from Wold Bank (https://wits.worldbank.org/), and processed under two different scenarios by the author based on nations / association, namely Australia, New Zealand, Japan, Korea and ASEAN.
DOI: 10.25810/8196-e820.69
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - November 2023

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.24969036
title: i4 taxonomic abundance data

description: Taxonomic abundance data for multiple alignment and analysis methods. See manuscript for associated methods.