cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/4a79fb11c82730ffc5aee0d01b4c6827
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/2ce235f44b7c7f15bb7d781c6dbd68c7
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/2277e9dfb5de3f5c826f9354269f666d
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/43e95d024c076e09e5c70d5bc58030cd
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE6_Hydro (Doboy Sound south of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/5893a8965babb8bafc645c0fa8f5932d
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/df5aa8c40048cd2fe06dbd0e987d8374
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE8_Hydro (Altamaha River near Aligator Creek, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE8_Hydro (Altamaha River near Aligator Creek, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/876cbec9d10ac6eeb206462d7cd74a07
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE9_Hydro (Altamaha River near Rockdedundy Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/1ef31cb7cc8b6f63c648c7a5e16ef607
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE10_Hydro (Duplin River west of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE10_Hydro (Duplin River west of Sapelo Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.6073/pasta/682e493b6705e41906007e2a95f4d833
title: Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE11_Hydro (Altamaha River near Lewis Creek, Georgia) from 01-Jan-2019 through 31-Dec-2019

description: Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE11_Hydro (Altamaha River near Lewis Creek, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.
DOI: 10.13012/b2idb-1928463_v1
title: Dataset for '“I can show what I really like.”: Eliciting Preferences via Quadratic Voting'

description: This is the first version of the dataset. This dataset contains anonymize data collected during the experiments mentioned in the publication: “I can show what I really like.”: Eliciting Preferences via Quadratic Voting that would appear in April 2021. Once the publication link is public, we would provide an update here. These data were collected through our open-source online systems that are available at (experiment1)[https://github.com/a2975667/QV-app] and (experiment 2)[https://github.com/a2975667/QV-buyback] There are two folders in this dataset. The first folder (exp1_data) contains data collected during experiment 1; the second folder (exp2_data) contains data collected during experiment 2.
DOI: 10.6084/m9.figshare.14531403.v1
title: Table S1. Sequencing and mapping statistic on the 90 shotgun sequenced Megaloceros giganteus;Table S2. Information on the Megaloceros giganteus samples that were used in the capture experiments and/or included in the phylogenetic analyses.;Table S3. Baits used in this study for the mitochondrial DNA capture experiment. from Exploring the phylogeography and population dynamics of the giant deer (<i>Megaloceros giganteus</i>) using Late Quaternary mitogenomes

description: Baits were designed by MYBaits based on the consensus sequences from Immel et al. 2015. The array contains 733 baits, with a length of 80mer probes with either and 4x (mito) flexible tiling density.
DOI: 10.6084/m9.figshare.14531403
title: Table S1. Sequencing and mapping statistic on the 90 shotgun sequenced Megaloceros giganteus;Table S2. Information on the Megaloceros giganteus samples that were used in the capture experiments and/or included in the phylogenetic analyses.;Table S3. Baits used in this study for the mitochondrial DNA capture experiment. from Exploring the phylogeography and population dynamics of the giant deer (<i>Megaloceros giganteus</i>) using Late Quaternary mitogenomes

description: Baits were designed by MYBaits based on the consensus sequences from Immel et al. 2015. The array contains 733 baits, with a length of 80mer probes with either and 4x (mito) flexible tiling density.
DOI: 10.5281/zenodo.4729031
title: Archive of aggregate data on work and parenthood

description: These are aggregate files of labor force participation for mothers, fathers, and women not living with own children. Read ReadMe.txt file first for definitions and codes. Generated using the Current Population Survey monthly files from ipums.org. These files are meant to encourage discussion and analysis of labor force participation of mothers in comparison to fathers and women without own children in their home.
DOI: 10.5281/zenodo.4654124
title: MAESTRO

description: MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset composed of about 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms. We partnered with organizers of the International Piano-e-Competition for the raw data used in this dataset. During each installment of the competition virtuoso pianists perform on Yamaha Disklaviers which, in addition to being concert-quality acoustic grand pianos, utilize an integrated high-precision MIDI capture and playback system. Recorded MIDI data is of sufficient fidelity to allow the audition stage of the competition to be judged remotely by listening to contestant performances reproduced over the wire on another Disklavier instrument. The dataset contains about 200 hours of paired audio and MIDI recordings from ten years of International Piano-e-Competition. The MIDI data includes key strike velocities and sustain/sostenuto/una corda pedal positions. Audio and MIDI files are aligned with ∼3 ms accuracy and sliced to individual musical pieces, which are annotated with composer, title, and year of performance. Uncompressed audio is of CD quality or higher (44.1–48 kHz 16-bit PCM stereo). A train/validation/test split configuration is also proposed, so that the same composition, even if performed by multiple contestants, does not appear in multiple subsets. Repertoire is mostly classical, including composers from the 17th to early 20th century. For more information about how the dataset was created and several applications of it, please see the paper where it was introduced: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. For an example application of the dataset, see our blog post on Wave2Midi2Wave. Additional information is available on the Magenta website: The MAESTRO Dataset If you use the MAESTRO dataset in your work, please cite the paper where it was introduced: <pre>Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. "Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset." In International Conference on Learning Representations, 2019. </pre> You can also use the following BibTeX entry: <pre>@inproceedings{ hawthorne2018enabling, title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset}, author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck}, booktitle={International Conference on Learning Representations}, year={2019}, url={https://openreview.net/forum?id=r1lYRjC9F7}, } </pre> Please also make sure to specify which version of the dataset you are using. MAESTRO is provided as a zip file containing the MIDI and WAV files as well as metadata in CSV and JSON formats. A MIDI-only archive of the dataset is also available.
DOI: 10.5281/zenodo.4660569
title: MAESTRO

description: MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset composed of about 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms. We partnered with organizers of the International Piano-e-Competition for the raw data used in this dataset. During each installment of the competition virtuoso pianists perform on Yamaha Disklaviers which, in addition to being concert-quality acoustic grand pianos, utilize an integrated high-precision MIDI capture and playback system. Recorded MIDI data is of sufficient fidelity to allow the audition stage of the competition to be judged remotely by listening to contestant performances reproduced over the wire on another Disklavier instrument. The dataset contains about 200 hours of paired audio and MIDI recordings from ten years of International Piano-e-Competition. The MIDI data includes key strike velocities and sustain/sostenuto/una corda pedal positions. Audio and MIDI files are aligned with ∼3 ms accuracy and sliced to individual musical pieces, which are annotated with composer, title, and year of performance. Uncompressed audio is of CD quality or higher (44.1–48 kHz 16-bit PCM stereo). A train/validation/test split configuration is also proposed, so that the same composition, even if performed by multiple contestants, does not appear in multiple subsets. Repertoire is mostly classical, including composers from the 17th to early 20th century. For more information about how the dataset was created and several applications of it, please see the paper where it was introduced: Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. For an example application of the dataset, see our blog post on Wave2Midi2Wave. Additional information is available on the Magenta website: The MAESTRO Dataset If you use the MAESTRO dataset in your work, please cite the paper where it was introduced: <pre>Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck. "Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset." In International Conference on Learning Representations, 2019. </pre> You can also use the following BibTeX entry: <pre>@inproceedings{ hawthorne2018enabling, title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset}, author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and Douglas Eck}, booktitle={International Conference on Learning Representations}, year={2019}, url={https://openreview.net/forum?id=r1lYRjC9F7}, } </pre> Please also make sure to specify which version of the dataset you are using. MAESTRO is provided as a zip file containing the MIDI and WAV files as well as metadata in CSV and JSON formats. A MIDI-only archive of the dataset is also available.
DOI: 10.6073/pasta/e9a894a4c3f05e48c9356f6d6195242d
title: Plot vegetation surveys at the Sensor Network, 2017 to ongoing

description: Above-ground plant species cover was recorded for vegetation plots in the sensor network, starting in 2017. Cover was measured annually at peak biomass using a 100 point-intercept method.
DOI: 10.15468/5kucnc
title: A New Choristodere from the Cretaceous of Mongolia

description: This dataset contains the digitized treatments in Plazi based on the original journal article KSEPKA, DANIEL T., GAO, KE-QIN, NORELL, MARK A. (2005): A New Choristodere from the Cretaceous of Mongolia. American Museum Novitates 3468 (1): 1-23, DOI: 10.1206/0003-0082(2005)468&lt;0001:ANCFTC&gt;2.0.CO;2, URL: http://www.bioone.org/perlserv/?request=get-abstract&doi=10.1206%2F0003-0082(2005)468%3C0001%3AANCFTC%3E2.0.CO%3B2
DOI: 10.5281/zenodo.4723489
title: Dataset related to article "Interleukin-6 receptor blocking with intravenous tocilizumab in COVID-19 severe acute respiratory distress syndrome: A retrospective case-control survival analysis of 128 patients"

description: This record contains raw data related to article "Interleukin-6 receptor blocking with intravenous tocilizumab in COVID-19 severe acute respiratory distress syndrome: A retrospective case-control survival analysis of 128 patients" In cases of COVID-19 acute respiratory distress syndrome, an excessive host inflammatory response has been reported, with elevated serum interleukin-6 levels. In this multicenter retrospective cohort study we included adult patients with COVID-19, need of respiratory support, and elevated C-reactive protein who received intravenous tocilizumab in addition to standard of care. Control patients not receiving tocilizumab were matched for sex, age and respiratory support. We selected survival as the primary endpoint, along with need for invasive ventilation, thrombosis, hemorrhage, and infections as secondary endpoints at 30 days. We included 64 patients with COVID-19 in the tocilizumab group and 64 matched controls. At baseline the tocilizumab group had longer symptom duration (13 ± 5 vs. 9 ± 5 days) and received hydroxychloroquine more often than controls (100% vs. 81%). The mortality rate was similar between groups (27% with tocilizumab vs. 38%) and at multivariable analysis risk of death was not significantly influenced by tocilizumab (hazard ratio 0.61, 95% confidence interval 0.33-1.15), while being associated with the use at baseline of non invasive mechanical or invasive ventilation, and the presence of comorbidities. Among secondary outcomes, tocilizumab was associated with a lower probability of requiring invasive ventilation (hazard ratio 0.36, 95% confidence interval 0.16-0.83; P = 0.017) but not with the risk of thrombosis, bleeding, or infections. The use of intravenous tocilizumab was not associated with changes in 30-day mortality in patients with COVID-19 severe respiratory impairment. Among the secondary outcomes there was less use of invasive ventilation in the tocilizumab group
DOI: 10.5281/zenodo.4723488
title: Dataset related to article "Interleukin-6 receptor blocking with intravenous tocilizumab in COVID-19 severe acute respiratory distress syndrome: A retrospective case-control survival analysis of 128 patients"

description: This record contains raw data related to article "Interleukin-6 receptor blocking with intravenous tocilizumab in COVID-19 severe acute respiratory distress syndrome: A retrospective case-control survival analysis of 128 patients" In cases of COVID-19 acute respiratory distress syndrome, an excessive host inflammatory response has been reported, with elevated serum interleukin-6 levels. In this multicenter retrospective cohort study we included adult patients with COVID-19, need of respiratory support, and elevated C-reactive protein who received intravenous tocilizumab in addition to standard of care. Control patients not receiving tocilizumab were matched for sex, age and respiratory support. We selected survival as the primary endpoint, along with need for invasive ventilation, thrombosis, hemorrhage, and infections as secondary endpoints at 30 days. We included 64 patients with COVID-19 in the tocilizumab group and 64 matched controls. At baseline the tocilizumab group had longer symptom duration (13 ± 5 vs. 9 ± 5 days) and received hydroxychloroquine more often than controls (100% vs. 81%). The mortality rate was similar between groups (27% with tocilizumab vs. 38%) and at multivariable analysis risk of death was not significantly influenced by tocilizumab (hazard ratio 0.61, 95% confidence interval 0.33-1.15), while being associated with the use at baseline of non invasive mechanical or invasive ventilation, and the presence of comorbidities. Among secondary outcomes, tocilizumab was associated with a lower probability of requiring invasive ventilation (hazard ratio 0.36, 95% confidence interval 0.16-0.83; P = 0.017) but not with the risk of thrombosis, bleeding, or infections. The use of intravenous tocilizumab was not associated with changes in 30-day mortality in patients with COVID-19 severe respiratory impairment. Among the secondary outcomes there was less use of invasive ventilation in the tocilizumab group
DOI: 10.25390/caryinstitute.11801052.v25
title: Cary Institute Environmental Monitoring Program Current Year Data 2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/