cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p94gulxe
title: Mean bed elevations of waterbodies on the Atchafalaya River floodplain

description: Waterbodies that exhibit persistent water and lack trees within the majority of its area are defined as open waterbodies by the National Hydrography Dataset (NHD, USGS, 2011). The data presented here were created to determine the volume of water for open waterbodies on the floodplain of the Atchafalaya River Basin. Open waterbodies and their surficial geometry were identified using a geographic information system (GIS) shapefile acquired from the NHD. The spatial coverage was clipped to areas within the Atchafalaya Basin Floodway System area of interest. Bed elevations of a representative set of channels were determined from bathymetric surveys conducted 2014-2017 during high river stages by the U.S. Geological Survey (USGS) personnel. A Lowrance HDS5 single-beam digital recording chart plotter was used to collect sound navigation and ranging (SONAR) bathymetry at a frequency of 10Hz. Horizontal position was recorded simultaneously from an GPS internal to the SONAR (plus or minus 2 meters). Most dredged canals and channels within, or to access an oil field were dredged to similar bed elevations so representative surveyed channel bed elevations were extended to similar channels types within a 4-kilometer distance. Mean bed elevations for the Henderson Lake Watershed Management Unit (WMU) were derived from Kelso and others, 2011. Inaccessible waterbody bed elevations were estimated based on GoogleEarth (2019) imagery from 2000 through 2019. Elevations derived from this imagery were based on exposure of the waterbody beds relative to laser imaging, detection, and ranging (lidar) elevations (USGS 2013), and/or similarity of aquatic vegetation relative to surveyed channels. The mean bottom elevations of waterbodies were calculated from channel or lake cross sections in meters North American vertical datum 1988 (NAVD88). Cross-sections were surveyed using SONAR. SONAR measured points along the channel banks were removed from the calculation of mean to avoid debris and bank slopes. The remaining points across the channel or lake bed were averaged to produce a mean elevation. Cross-section mean elevations were weighted by width of cross section and a weighted mean bottom elevation and calculated for each waterbody segment and added as a field value to the shapefile as MeanBotel. This work was partially funded through a cooperative agreement with the US Army Corps of Engineers. References: Kelso, W. E., Harlan, R., Kelley, D., and Pasco, T., 2011, Pre- and Post-Project Monitoring of Water Quality, Habitat, and Fish Communities in the Buffalo Cove and Henderson Lake, Units of the Atchafalaya River Basin: Task I. Final Report Submitted to JESCO Inc. Jennings, LA. U.S. Geological Survey (USGS), 2011, National Hydrography Dataset (NHD), accessed March 23, 2011 at: https://www.usgs.gov/core-science-systems/ngp/national-hydrography. U.S. Geological Survey (USGS), 2013, 2010 U.S. Geological Survey Topographic LiDAR: Atchafalaya Basin, Louisiana, available at https://abp.cr.usgs.gov/Library/DownloadFile.aspx?id=376.
DOI: 10.5066/p95lqjd8
title: Near-Surface Spatial Water-Quality Surveys along the Caloosahatchee River in June and July 2021, south Florida

description: This U.S. Geological Survey (USGS) Data Release provides spatial water-quality data collected from the Caloosahatchee River on June 21-22 and July 20, 2021, south Florida. Geo-referenced measurements of near surface water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescence of dissolved organic matter were recorded at 20 second intervals and nitrate and nitrite as nitrogen was recorded at 5 to 60 second intervals during water-quality surveys in order to create high resolution water-quality maps of the study area.
DOI: 10.6073/pasta/3910b139e767f3d6ab3945ba540a8031
title: North Temperate Lakes LTER: Pelagic Macroinvertebrate Summary 1983 - current

description: This is a summary of dataset NTL 13. Derived data include the mean and standard deviation of the number of each species captured as well as the mean and standard deviation of the density of individuals on both an areal and volumetric basis. Five vertical tows are collected after dark at the deepest point of each of the seven primary lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) using a 1-m diameter, 1-mm mesh net. On Trout Lake four additional sites are sampled, where depths are approximately at 10 m, 15 m, 20 m, and 25 m, with three tows taken at each site. Samples are preserved, and later counted in their entirety for Chaoborus spp., Leptodora kindtii, Mysis relicta, and Bythotrephes longimanus. Sampling Frequency: annually. Number of sites: 11
DOI: 10.5281/zenodo.3627772
title: HCP-YA Tractography Atlas (NIFTI Files)

description: Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68.
description: {"references": ["Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68."]}
DOI: 10.5281/zenodo.3627771
title: HCP-YA Tractography Atlas (NIFTI Files)

description: Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68.
description: {"references": ["Yeh, F. C., Panesar, S., Fernandes, D., Meola, A., Yoshino, M., Fernandez-Miranda, J. C., ... & Verstynen, T. (2018). Population-averaged atlas of the macroscale human structural connectome and its network topology. NeuroImage, 178, 57-68."]}
DOI: 10.6073/pasta/79ecf7086bccce55f9eb8368bd87d1eb
title: Evaluating the precariousness of coral recovery when coral and macroalgae are alternative basins of attraction

description: When coral and macroalgae are alternative attractors, the trajectory of the benthic community following a major disturbance is shaped in part by whether herbivores keep macroalgae suppressed, leaving reef surfaces in a state suitable for coral colonization. Because macroalgae tend to colonize much faster than coral, an important issue is how close ambient herbivory is to the level where control of macroalgae is lost, that is, the precariousness of the coral-invasible state relative to the switch-point to macroalgae. In Moorea, French Polynesia, reefs dominated by the macroalga Turbinaria ornata remained so for multiple population turnovers, whereas reefs where Turbinaria was removed by a simulated pulse disturbance remained free of macroalgae throughout the 5-yr study. A field experiment revealed that macroalgae was unable to proliferate on disturbed reefs until ambient herbivory was reduced by more than 50%. Low precariousness of the coral-invasible state facilitated a gradual transition to a coral community because it allowed sufficient time for coral to repopulate. Accumulation of coral on disturbed reefs was 3.5 times greater than on undisturbed, Turbinaria-dominated reefs. Long-term persistence of the coral-invasible state was facilitated by high abundances of grazing herbivores that prevent the establishment of macroalgae, whereas persistence of the Turbinaria-dominated state reflected the scarcity of browsing herbivores that consume mature macroalgae. By revealing processes that foster bistability of coral and macroalgae states, our work helps explain the rich dynamical behavior exhibited by coral reef communities in Moorea and elsewhere. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6084/m9.figshare.19243722
title: Source data and processed data

description: source data
DOI: 10.5281/zenodo.6307812
title: HCP-YA 1065 Subjects dMRI Data (2mm FIB Files)

description: The minimally-preprocessed data (Glasser et al., 2013) from Human Connectome Projects (Q1-Q4 release, 2015) were acquired by Washington University in Saint Louis and University of Minnesota (Van Essen et al., 2012). The diffusion MRI scan was conducted on a Siemens 3T Skyra scanner using a 2D spin-echo single-shot multiband EPI sequence with a multi-band factor of 3 and monopolar gradient pulse. The spatial resolution was 1.25 mm isotropic. TR = 5500 ms, TE = 89.50 ms. The b-values were 1000, 2000, and 3000 s/mm2. The total number of diffusion sampling directions was 90, 90, and 90 for each of the shells in addition to 6 b0 images. The preprocessed data were corrected for eddy current and susceptibility artifact. The accuracy of b-table orientation was examined by comparing fiber orientations with those of a population-averaged template (Yeh et al. Neuroimage, 2018). The restricted diffusion was quantified using restricted diffusion imaging (Yeh et al., MRM, 77:603–612 (2017)). The diffusion data were reconstructed using generalized q-sampling imaging (Yeh et al., IEEE TMI, ;29(9):1626-35, 2010) with a diffusion sampling length ratio of 1.7.
DOI: 10.5281/zenodo.6307811
title: HCP-YA 1065 Subjects dMRI Data (2mm FIB Files)

description: The minimally-preprocessed data (Glasser et al., 2013) from Human Connectome Projects (Q1-Q4 release, 2015) were acquired by Washington University in Saint Louis and University of Minnesota (Van Essen et al., 2012). The diffusion MRI scan was conducted on a Siemens 3T Skyra scanner using a 2D spin-echo single-shot multiband EPI sequence with a multi-band factor of 3 and monopolar gradient pulse. The spatial resolution was 1.25 mm isotropic. TR = 5500 ms, TE = 89.50 ms. The b-values were 1000, 2000, and 3000 s/mm2. The total number of diffusion sampling directions was 90, 90, and 90 for each of the shells in addition to 6 b0 images. The preprocessed data were corrected for eddy current and susceptibility artifact. The accuracy of b-table orientation was examined by comparing fiber orientations with those of a population-averaged template (Yeh et al. Neuroimage, 2018). The restricted diffusion was quantified using restricted diffusion imaging (Yeh et al., MRM, 77:603–612 (2017)). The diffusion data were reconstructed using generalized q-sampling imaging (Yeh et al., IEEE TMI, ;29(9):1626-35, 2010) with a diffusion sampling length ratio of 1.7.
DOI: 10.5281/zenodo.6315871
title: HCP-MGH Subject dMRI Data (SRC Files)

description: A multishell diffusion scheme was used, and the b-values were 1000 ,3000 ,5000 and 10000 s/mm2. The number of diffusion sampling directions were 64, 64, 128, and 256. The in-plane resolution was 1.5 mm. The slice thickness was 1.5 mm. This data set was originally from the connectome db website (https://db.humanconnectome.org/). The MGH HCP team has released diffusion imaging and structural imaging data acquired from 35 young adults using the customized MGH Siemens 3T Connectome scanner, which has 300 mT/m maximum gradient strength for diffusion imaging. The data are shared under the WU-Minn HCP open access data use term (4) at https://www.humanconnectome.org/study/hcp-young-adult/document/wu-minn-hcp-consortium-open-access-data-use-terms Please acknowledge the source to the WU-Minn HCP.
DOI: 10.5281/zenodo.6315870
title: HCP-MGH Subject dMRI Data (SRC Files)

description: A multishell diffusion scheme was used, and the b-values were 1000 ,3000 ,5000 and 10000 s/mm2. The number of diffusion sampling directions were 64, 64, 128, and 256. The in-plane resolution was 1.5 mm. The slice thickness was 1.5 mm. This data set was originally from the connectome db website (https://db.humanconnectome.org/). The MGH HCP team has released diffusion imaging and structural imaging data acquired from 35 young adults using the customized MGH Siemens 3T Connectome scanner, which has 300 mT/m maximum gradient strength for diffusion imaging. The data are shared under the WU-Minn HCP open access data use term (4) at https://www.humanconnectome.org/study/hcp-young-adult/document/wu-minn-hcp-consortium-open-access-data-use-terms Please acknowledge the source to the WU-Minn HCP.
DOI: 10.5066/p99pgqgl
title: Hatchery-reared Roundtail Chub Data, Arizona USA

description: These data were compiled as part of a larger study to evaluate post-stocking survival of hatchery-reared Roundtail Chub. We conducted a two year study (Dec. 2015 – Mar. 2017) in the upper Verde River at the Burnt Ranch stocking location near Paulden, Arizona. Young of year Roundtail Chub were acquired from the Arizona Research and Conservation Center in Cornville, Arizona. Passive integrated transponder (PIT) tags (BioMark, 12.5 mm 134.2 kHz FDX) were implanted into Roundtail Chub each year (n = 333, Year 1; n = 2177, Year 2) prior to stocking. Each year, fish were measured (total length, TL, mm) before release (reflected in Pre-Stocking data table). We used two methods to recapture stocked fish, one passive and one active. Both portable, submersible PIT antennas and tow barge electrofishing were used to detect fish after being stocked. In both years of our study, antenna arrays were placed downstream and upstream of the stocking site before fish were released and then maintained for approximately two and a half months, while electrofishing methods were implemented at arbitrary intervals within three months of the stocking event (reflected in Recaps By Gear and Recaps By Both Gears Sheets). In Year 2 of sampling, we assessed how effective submersible antennas were at detecting recently released fish from the field site by closing off the study area with fyke nets prior to Roundtail Chub release (reflected in Fyke Net Captures vs Antennas data table). Both submersible antennas and electrofishing methods were used to evaluate which method performed better at detecting fish after stocking. Antenna performance was also evaluated by size and the width of channel each antenna covered (reflected in Antenna Det Channel Length sheet). Electrofishing methods were largely conducted to assess survival and condition of recaptured fish. Roundtail Chub were passively monitored by portable, rectangular submersible PIT antennas (Marsh and Associates, LLC) from time of stocking to March. Antennas are battery-powered and were programmed to continuously record the date and time of contact as well as PIT tag numbers. Multiple electrofishing efforts were also randomly conducted between December and mid-March of each year to actively monitor fish after release. The site was continuously sampled from the most downstream to upstream antennas with pulsed DC using a generator-powered pulsator (Smith Root 5.0 GPP with two anodes) electrofisher mounted in a towable barge (Smith Root model SR-7). All Roundtail Chub were captured, measured (total length, TL, mm), and weighed (g).
DOI: 10.5281/zenodo.6320973
title: The Hume Vocal Burst Competition Dataset (H-VB) | Raw Data [A-VB: updated 03.01.22]

description: This package includes the raw data for a subset of The Hume Vocal Burst Database (H-VB). This dataset contains <strong>59,201 audio recordings of vocal bursts from 1,702 speakers</strong>, from 4 cultures, the <strong>U.S.A, South Africa, China, </strong>and<strong> Venezuela</strong>, ranging in age from <strong>20 to 39.5 years old</strong>. The total duration of data in this version of <strong>H-VB is 36 Hours </strong> (Mean: 02.23 sec). A subset of 10 emotional intensity labels is also available. Data has been partitioned into equal training, validation, and test sets, and the test set is blind. <strong>Emotion Labels: </strong><br> <em>Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise, Valence, Arousal</em> For further questions about the data contact: <strong>competitions@hume.ai</strong>
DOI: 10.5281/zenodo.6188137
title: The Hume Vocal Burst Competition Dataset (H-VB) | Raw Data [A-VB: updated 03.01.22]

description: This package includes the raw data for a subset of The Hume Vocal Burst Database (H-VB). This dataset contains <strong>59,201 audio recordings of vocal bursts from 1,702 speakers</strong>, from 4 cultures, the <strong>U.S.A, South Africa, China, </strong>and<strong> Venezuela</strong>, ranging in age from <strong>20 to 39.5 years old</strong>. The total duration of data in this version of <strong>H-VB is 36 Hours </strong> (Mean: 02.23 sec). A subset of 10 emotional intensity labels is also available. Data has been partitioned into equal training, validation, and test sets, and the test set is blind. <strong>Emotion Labels: </strong><br> <em>Awe, Excitement, Amusement, Awkwardness, Fear, Horror, Distress, Triumph, Sadness, Surprise, Valence, Arousal</em> For further questions about the data contact: <strong>competitions@hume.ai</strong>
DOI: 10.5517/ccdc.csd.cc287bwr
title: CCDC 2092434: Experimental Crystal Structure Determination

description: Related Article: Jing Li, Yulian Zhu, Hui Xu, Teng-Fei Zheng, Sui-Jun Liu, Yongquan Wu, Jing-Lin Chen, Yong-Qiang Chen, He-Rui Wen|2022|Inorg.Chem.|61|3607|doi:10.1021/acs.inorgchem.1c03661
description: Related Article: Jing Li|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28b2yn
title: CCDC 2095071: Experimental Crystal Structure Determination

description: Related Article: Karim Chkirate, Khalid Karrouchi, Hind Chakchak, Joel T. Mague, Smaail Radi, N. N. Adarsh, Weiyang Li, Ahmed Talbaoui, El Mokhtar Essassi, Yann Garcia|2022|RSC Advances|12|5324|doi:10.1039/D1RA09027E
DOI: 10.5517/ccdc.csd.cc28b2zp
title: CCDC 2095072: Experimental Crystal Structure Determination

description: Related Article: Karim Chkirate, Khalid Karrouchi, Hind Chakchak, Joel T. Mague, Smaail Radi, N. N. Adarsh, Weiyang Li, Ahmed Talbaoui, El Mokhtar Essassi, Yann Garcia|2022|RSC Advances|12|5324|doi:10.1039/D1RA09027E
DOI: 10.5517/ccdc.csd.cc28b30r
title: CCDC 2095073: Experimental Crystal Structure Determination

description: Related Article: Karim Chkirate, Khalid Karrouchi, Hind Chakchak, Joel T. Mague, Smaail Radi, N. N. Adarsh, Weiyang Li, Ahmed Talbaoui, El Mokhtar Essassi, Yann Garcia|2022|RSC Advances|12|5324|doi:10.1039/D1RA09027E
DOI: 10.5517/ccdc.csd.cc27tcr6
title: CCDC 2079968: Experimental Crystal Structure Determination

description: Related Article: Zohreh Razmara, Vaclav Eigner, Michal Dusek|2022|Polyhedron|216|115725|doi:10.1016/j.poly.2022.115725
DOI: 10.5517/ccdc.csd.cc28n807
title: CCDC 2104838: Experimental Crystal Structure Determination

description: Related Article: Leoš Valenta, Maximilian Mayländer, Pia Kappeler, Olivier Blacque, Tomáš Šolomek, Sabine Richert, Michal Juríček|2022|Chem.Commun.|58|3019|doi:10.1039/D2CC00352J
DOI: 10.5517/ccdc.csd.cc28pktc
title: CCDC 2106103: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yu Xie, Yun-Fang Xu, Yang Li, Xiao-Dong Wang, Jie Zhu, Lei Wu|2022|Chem.Commun.|58|3031|doi:10.1039/D1CC06994B
DOI: 10.6084/m9.figshare.19287386
title: Parametric Sweep input files

description: Input datasets for running the parametric analyses reported by Goldman et al. (in prep) in COMSOL Multiphysics for a water-loaded edifice and lithosphere. Variables are as follows:<br>aspRat: magma chamber aspect ratio<br>Vm: magma chamber volume (km^3)<br>Dc: depth to chamber crest below z = 0 (positive downward, km)<br>OP: "overpressure" or change in the value of pressure applied to the magma chamber wall that results in tensile failure of the chamber wall (MPa)<br>
DOI: 10.6084/m9.figshare.19285505
title: CraterRimDikeData.xlsx

description: Field and petrographic observations for dikes observed throughout Akaroa volcano, including Akaroa Harbor and Akaroa's crater rim. Portions of the tables included in this spreadsheet are included in the ArcMap file Akaroa_JGR_map.mxd. Tabs are organized as follows:<br>Akaroa_2010_dikes: comprehensive list of field coordinate and strike or trend observations for 643 dikes found throughout Akaroa Volcano made in the year 2010. Coordinates are reported in New Zealand Map Grid, part of the New Zealand Geo-datum 1949.<br>Gaddis_2014_dike_catalog: Akaroa dike data curated by former University of Canterbury Frontiers Abroad student Emily Gaddis, whose semester research project investigated dome and dike formation on Akaroa's crater rim and served as a foundation for the research of Goldman et al. (in prep).<br>48 trachyte: collated subsets of Akaroa_2010_dikes and Gaddis_2014_dike_catalog containing trachyte dikes found along Akaroa's crater rim. These dikes are displayed in the ArcMap file Akaroa_JGR_map.mxd and Figure 1 of Goldman et al. (in prep).<br>32 basalt: collated subsets of Akaroa_2010_dikes and Gaddis_2014_dike_catalog containing basalt dikes found along Akaroa's crater rim. This sheet also contains four dikes observed by students of the University of Canterbury's Frontiers Abroad Program in 2013 and 2014. These dikes are displayed in the ArcMap file Akaroa_JGR_map.mxd and Figure 1 of Goldman et al. (in prep).<br>Crater Rim dikes collated: list of all 86 crater rim dikes reported in Goldman et al. (in prep), including ArcMap shapefile name (c.f., Akaroa_JGR_map.mxd), the radial distance from the center of Akaroa Harbor to each dike (calculated using the "near dist" function in ArcMap), the elevation for each dike, and the corresponding z-coordinate in the COMSOL model of Akaroa Volcano of Goldman et al. (in prep) that defines z = 0 as 1200 m below sea level.<br>BLE_Figure5_dikes: plot of crater rim dikes presented in Figure 5 of Goldman et al. (in prep), as well as the basis for the Purple Peak and Panama Rock dike locations displayed in Figures 6-8. The two individual Purple Peak dike locations reported in the tab "Crater Rim dikes collated" are replaced by a single point representing the central field location for both dikes (c.f., Waypoint 345, Table S5 of Goldman et al.).<br>
DOI: 10.6084/m9.figshare.19286900
title: Akaroa JGR ArcMap files

description: ArcMap file (Akaroa_JGR_map.mxd) and all associated shapefiles and data included in this file, which are presented in Figure 1 of Goldman et al. (in prep).<br>