cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14674056
title: Sawyer Mill Dam Removal Project Sediment Area Drone Flight Paths

description: These are the automated drone flight paths for the sediment area of the Evans et al. Sawyer Mill dam removal study in Dover, New Hampshire, USA. These flight paths are specific to the reservoir response manuscript. A DJI Phantom 3 Professional drone with its original RGB camera equipped with a polarizing filter was used for the study.<br>All flight paths are available as csv files that were exported out of the Litchi mission hub. The pdf file contains screenshots of the paths in DJIFlightPlanner and Litchi. For information on the Litchi flight app, please see their website here: https://flylitchi.com/. The same set of flight paths were flown in both 2019 and 2020 to keep imagery collection consistent. Nadir flight paths had 80% side image overlap and 90% forward image overlap set in DJIFlightPlanner. The imagery angle for the angled flight paths was set to 20 degrees off nadir (-70 gimbal pitch in Litchi), and the paths of the angled flights were manually drawn in Litchi to supplement the nadir flight paths that were designed in DJIFlightPlanner.<br>For the sediment area, the altitude of the drone was set to 100 feet above ground level. Please note that since Litchi only allowed up to 99 waypoints per flight path, the angled 1 flight path had to be partially manually traced towards the end and was sometimes cut short due to battery life restrictions towards the end of the flight. <br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
DOI: 10.15468/f6vfrx
title: A remarkable new genus Manzumbadoa gen. n. from Costa Rica (Diptera: Sciaridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jaschhof, Mathias, Mohrig, Werner (2005): A remarkable new genus Manzumbadoa gen. n. from Costa Rica (Diptera: Sciaridae). Beiträge Zur Entomologie = Contributions to Entomology 55 (2): 305-312, DOI: 10.21248/contrib.entomol.55.2.305-312, URL: https://www.contributions-to-entomology.org/article/view/1631
DOI: 10.5066/p9bp7233
title: Generalized Physiographic Map of Bangladesh (physio8bg)

description: This coverage includes polygons and polygon labels that hold names of physiographic elements from the original Physiograpic map of Bangladesh.
DOI: 10.23641/asha.14642784
title: Hearing aid use and falls risk (Riska et al., 2021)

description: <b>Purpose: </b>Falls are considered a significant public health issue, and hearing loss has been shown to be an independent risk factor for falls. The primary objective of this study was to determine if hearing aid use modified (reduced) the association. We hypothesized that routine hearing aid use would reduce the impact of hearing loss on the odds of falling. If hearing aid users have reduced odds of falling, then that would have an important impact on falls prevention health care.<b>Method: </b>Data from 8,091 individuals 40 years of age and older who completed National Health and Nutrition Examination Survey (NHANES) cycles 1999–2004 were used. NHANES comprises a series of cross-sectional studies, each of which is representative of the total civilian noninstitutionalized population of children and adults in the United States, enabling unbiased national estimates of health that can be independently reproduced. Self-reported hearing, hearing aid status, falls history, and comorbidities were extracted and analyzed using regression modeling.<b>Results: </b>The 8,091 individuals were grouped based on a self-reported history of falls in the last year. Self-reported hearing loss was significantly associated with odds of falling. Categorizing individuals based on routine hearing aid use was included as an interaction term in the fully adjusted models and was not significant, suggesting no difference in falls based on hearing aid status.<b>Conclusions: </b>The unique results of the current study show that when examining self-reported hearing in a nationally representative sample, hearing aid use does not appear to mitigate or modify the association between self-reported hearing and falls. Future research designs are highlighted to address limitations identified using NHANES data for this research, and focus on the use of experimental designs to further understand the association between hearing loss and falls, and whether hearing loss may be a modifiable risk factor for falls.<br><b>Supplemental Material S1. </b>NHANES variables used to define measures of interest.<br><b>Supplemental Material S2.</b> Odds ratio of self-reported falls by hearing loss as measured by hearing handicap.<br>Riska, K. M., Peskoe, S. B., Gordee, A., Kuchibhatla, M., & Smith, S. L. (2021). Preliminary evidence on the impact of hearing aid use on falls risk in individuals with self-reported hearing loss.<i> American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00179
DOI: 10.23641/asha.14642784.v1
title: Hearing aid use and falls risk (Riska et al., 2021)

description: <b>Purpose: </b>Falls are considered a significant public health issue, and hearing loss has been shown to be an independent risk factor for falls. The primary objective of this study was to determine if hearing aid use modified (reduced) the association. We hypothesized that routine hearing aid use would reduce the impact of hearing loss on the odds of falling. If hearing aid users have reduced odds of falling, then that would have an important impact on falls prevention health care.<b>Method: </b>Data from 8,091 individuals 40 years of age and older who completed National Health and Nutrition Examination Survey (NHANES) cycles 1999–2004 were used. NHANES comprises a series of cross-sectional studies, each of which is representative of the total civilian noninstitutionalized population of children and adults in the United States, enabling unbiased national estimates of health that can be independently reproduced. Self-reported hearing, hearing aid status, falls history, and comorbidities were extracted and analyzed using regression modeling.<b>Results: </b>The 8,091 individuals were grouped based on a self-reported history of falls in the last year. Self-reported hearing loss was significantly associated with odds of falling. Categorizing individuals based on routine hearing aid use was included as an interaction term in the fully adjusted models and was not significant, suggesting no difference in falls based on hearing aid status.<b>Conclusions: </b>The unique results of the current study show that when examining self-reported hearing in a nationally representative sample, hearing aid use does not appear to mitigate or modify the association between self-reported hearing and falls. Future research designs are highlighted to address limitations identified using NHANES data for this research, and focus on the use of experimental designs to further understand the association between hearing loss and falls, and whether hearing loss may be a modifiable risk factor for falls.<br><b>Supplemental Material S1. </b>NHANES variables used to define measures of interest.<br><b>Supplemental Material S2.</b> Odds ratio of self-reported falls by hearing loss as measured by hearing handicap.<br>Riska, K. M., Peskoe, S. B., Gordee, A., Kuchibhatla, M., & Smith, S. L. (2021). Preliminary evidence on the impact of hearing aid use on falls risk in individuals with self-reported hearing loss.<i> American Journal of Audiology</i>. Advance online publication. https://doi.org/10.1044/2021_AJA-20-00179
DOI: 10.15468/utdjyv
title: On the Italian species of Drusilla L, 1819, with a note on D. taygetana A (Coleoptera: Staphylinidae, Aleocharinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Assing, Volker (2006): On the Italian species of Drusilla L, 1819, with a note on D. taygetana A (Coleoptera: Staphylinidae, Aleocharinae). Beiträge Zur Entomologie = Contributions to Entomology 56 (2): 281-296, DOI: 10.21248/contrib.entomol.56.2.281-296, URL: https://www.contributions-to-entomology.org/article/view/1666
DOI: 10.5066/p93x2ylr
title: Geologic Provinces of the Former Soviet Union, 2000 (prv1ec)

description: These data represent geologic and petroleum provinces interpreted and designated by the authors and based on numerous literature and map resources. Geologic province boundaries.
DOI: 10.7910/dvn/ei9sjx
title: Earn Money In Very Short Time play Kalyan matka

description: Question 1:- What Is Satta Matka Games? Satka matka game is one of popular gambling games to let users to earn money in unexpected money. The popularity of this game is not only in india, but also in other developed countries. The popularity game of this game is in Maharashtra rather than other Indian states. Through using the betting process, you can shine your luck to guess its result like a lottery ticket. Question 2 :- How To Play Satta Matka Game ? The satta maka game is available in both online and offline forms. In case you do not find the right solution to play satta matka gambling game, then you can prefer to use daily satta king. The matka game generally starts from some speculating number ranging from 0 to 9. First of all, you need to start your profit target and practice this game in best way to be ace of satka matka game. Do not bear unexpected loss in this game as fortune does not favor you. So, it is better that you would have to play this game with lesser amount to try your luck. Question 3 :- What Is The History Of Satta Matka ? Satta matka is independence after lottery launched game to shine your luck in case calculation is according is guess. The foundation of this game was started with the innovative efforts of Ratan Khatri and kalyanji bhagat. In fact, this game is Indian originated game. Other synonyms of this game are betting, wagering, lottery diversion, ankoo ka jadu, betting with figures, depends upon the irregular choice and offering. In this game, you will be eligible to get more money though guessing ankoo ka jadu. Question 4 -- What Is The Formula of A Satta Calculation ? Guessing for the occurrence of any random number and bet for low cost as win that selected number. In this game, you know well how the guessing power for appearing particular number. In this game, you can guess the spread types such as open, close, Jodi, panel, sangam and jackpot game. This game is calculation of different number ranging from 0 to 100. So, you would calculate the right number and enhance the possibility to win a number against the selected number. Q .5: What Is Matka Playing Types ? Likewise any other game, matka playing game is divided into various categories. Some of the most useful categories for this game are nominated as the single Jodi, patti. It is up to your wish that you can play this game in single and double sangam. Although this games introduces some amusement, you can earn money in short time interval. The single implies that you can open close one digit single ank. On the controversial side, you can open both digit as open and close to work as the Jodi. Patti is the usual term whose existence lies in with the combination of open digit and close digit in matka. That’s why it is called as the 3 digit patti.
DOI: 10.5066/p9h7k39k
title: Geologic Provinces of the Arabian Peninsula and adjacent areas, 2000 (prv2bg)

description: This data set includes arcs, polygons, and polygon labels for geologic and petroleum provinces interpreted and designated by R.M. Pollastro based on numerous literature and map resources.
DOI: 10.5281/zenodo.4793471
title: EMUE-D2-5-TraceabilityFromConformity

description: Measurement traceability is commonly obtained from calibration measurements that provide a result in terms of a single value and its associated uncertainty. However, there are circumstances where instead, the result may consist of a range of possible values. Such circumstances might arise when a result is provided in the form of the output from a conformity decision process, for example as a conformity statement in which a range of acceptable values rather than a specific value is reported. In terms of metrological traceability this style of result provides less information than a specific value, but it may be sufficient to obtain an acceptable target measurement uncertainty for a given application. The standard ISO/IEC 17025 acknowledges this in informative annex A. This example describes how such information might be used to propagate traceability. Files contained in the dataset are: “EMUE 1.2.5 (Version 5139).zip”: Zip file containing tex, bib and image files “A125.bib”: Bibliography file “EMUE_A1.2.5.tex”: LaTeX file “EMUE_1_2_5.pdf”: Report - GUM-LPU uncertainty evaluation - importing measurement traceability from a conformity statement “Figure_1_2.m”, “Figure_3.m”: MATLAB scripts used to calculate data for section 3.7
DOI: 10.5281/zenodo.4742243
title: EMUE-D2-5-TraceabilityFromConformity

description: Measurement traceability is commonly obtained from calibration measurements that provide a result in terms of a single value and its associated uncertainty. However, there are circumstances where instead, the result may consist of a range of possible values. Such circumstances might arise when a result is provided in the form of the output from a conformity decision process, for example as a conformity statement in which a range of acceptable values rather than a specific value is reported. In terms of metrological traceability this style of result provides less information than a specific value, but it may be sufficient to obtain an acceptable target measurement uncertainty for a given application. The standard ISO/IEC 17025 acknowledges this in informative annex A. This example describes how such information might be used to propagate traceability. Files contained in the dataset are: “EMUE 1.2.5 (Version 5139).zip”: Zip file containing tex, bib and image files “A125.bib”: Bibliography file “EMUE_A1.2.5.tex”: LaTeX file “EMUE_1_2_5.pdf”: Report - GUM-LPU uncertainty evaluation - importing measurement traceability from a conformity statement “Figure_1_2.m”, “Figure_3.m”: MATLAB scripts used to calculate data for section 3.7
DOI: 10.15468/an2w54
title: Revision of the New World Heteromeringia (Diptera: Clusiidae: Clusiodinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lonsdale, Owen, Marshall, Stephen A. (2007): Revision of the New World Heteromeringia (Diptera: Clusiidae: Clusiodinae). Beiträge Zur Entomologie = Contributions to Entomology 57 (1): 37-80, DOI: 10.21248/contrib.entomol.57.1.37-80, URL: https://www.contributions-to-entomology.org/article/view/1692
DOI: 10.15468/4a4rny
title: Notes on Anomala felicia A ,, 1910 and its relatives from Borneo with descriptions of six new species (Coleoptera: Scarabaeidae: Rutelinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zorn, Carsten (2007): Notes on Anomala felicia A ,, 1910 and its relatives from Borneo with descriptions of six new species (Coleoptera: Scarabaeidae: Rutelinae). Beiträge Zur Entomologie = Contributions to Entomology 57 (1): 81-91, DOI: 10.21248/contrib.entomol.57.1.81-91, URL: https://www.contributions-to-entomology.org/article/view/1693
DOI: 10.6084/m9.figshare.14675505
title: fMRI_data

description: Data were acquired at the Stanford University Richard M. Lucas Center for Imaging on a 3T General Electric SIGNA Premier scanner using a 48-channel head coil (GE Healthcare, Milwaukee, WI, USA). Blood oxygenation level-dependent (BOLD) functional MRI data were acquired using a simultaneous multislice gradient-echo echo-planar pulse sequence. Sequence parameters were similar to those used as part of the Human Connectome Project: TR 1000 ms, TE 30 ms, flip angle 64°, 2.4 mm isotropic voxels, matrix 88 × 88 × 65, multi-slice 5× acceleration. Minimization of signal dropout was achieved by visually selecting a slice plane approximately 25° from the anterior-posterior commissural plane towards the coronal plane. A T1-weighted anatomical scan was acquired in each session using a 3DFSPGR three-dimensional sequence: TR 1891 ms, TE 1.172 ms, TI 400 ms, flip angle 11°, 1.0 × 1.0 × 1.2 mm voxels, matrix 256 × 192 × 132. A gradient-echo B0 fieldmap was acquired to correct for spatial distortions: TE 6.5, 8.5 ms with slice prescription/spatial resolution matched to the BOLD sequence.Data collected during a visual fixation task were used for functional connectivity analysis. The patient fixated a black ‘+’ symbol presented at the center of a light gray screen. The patient was asked to remain as still as possible, and to remain awake and focused throughout the duration of each run. In between runs, the patient was asked if he was able to successfully stay still during the previous run, to reinforce the expectation that this should be closely monitored. Each run lasted 7m 2s and three functional runs were collected.
DOI: 10.6084/m9.figshare.14675415
title: iEEG_data

description: This .mat file contains relevant iEEG data for patient S19_137.<br>We used Nihon-Kohden video-EEG monitoring equipment (version WEE-1200 with 1000Hz sampling rate) and Nihon-Kohden Cortical Stimulator (MS-120BK-EEG) and PE-210AK Stimulator Switchbox to deliver electrical pulses at various frequencies, amplitudes and pulse-widths. <br>This data has been preprocessed using the following parameters: A notch filter was applied to attenuate power-line noise (zero-phase, third order butterworth filter with band-stop between 57-63, 117-123, and 177-183 Hz). Channel data were then re-referenced to the common average signal. We performed time-frequency decomposition on the continuous time series with a Morlet wavelet transform for frequencies within the 70-170 Hz range (spaced by increments of 10), also known as the high-frequency broadband (HFB) range. We then normalized the distributions of power amplitude estimates by rescaling each time sample by the log ratio of each whole recording’s time series (i.e., to account for 1/<i>f</i> decline of the power spectrum) and averaged those normalized estimates across all frequencies within the 70-170 Hz range. The HFB power amplitude was then filtered (zero-phase, butterworth, 4th order) between 0.1-1 Hz.<br>This MATLAB structure contains the following fields:1) trialinfo - task info for MMR task which requires patients to press 1 if the math, memory, or fact statement is true and 2 if the statement is false2) time - the length of EEG recording3) fsample - the sampling rate in Hz4) wave - high frequency broadband EEG data5) label - electrode labels6) chan_num - channel number of recorded electrodes7) bad_trials - list of task trials reaching exclusion criteria 8) badChan - list of recorded channels reaching exclusion criteria9) project_name - name of task10) cortex - reconstructed surface of 3D cortex11) volumes - reconstructed volume of 3D cortex12) elinfo - electrode locations and anatomical labels
DOI: 10.6084/m9.figshare.14675415.v1
title: iEEG_data

description: This .mat file contains relevant iEEG data for patient S19_137.<br>We used Nihon-Kohden video-EEG monitoring equipment (version WEE-1200 with 1000Hz sampling rate) and Nihon-Kohden Cortical Stimulator (MS-120BK-EEG) and PE-210AK Stimulator Switchbox to deliver electrical pulses at various frequencies, amplitudes and pulse-widths. <br>This data has been preprocessed using the following parameters: A notch filter was applied to attenuate power-line noise (zero-phase, third order butterworth filter with band-stop between 57-63, 117-123, and 177-183 Hz). Channel data were then re-referenced to the common average signal. We performed time-frequency decomposition on the continuous time series with a Morlet wavelet transform for frequencies within the 70-170 Hz range (spaced by increments of 10), also known as the high-frequency broadband (HFB) range. We then normalized the distributions of power amplitude estimates by rescaling each time sample by the log ratio of each whole recording’s time series (i.e., to account for 1/<i>f</i> decline of the power spectrum) and averaged those normalized estimates across all frequencies within the 70-170 Hz range. The HFB power amplitude was then filtered (zero-phase, butterworth, 4th order) between 0.1-1 Hz.<br>This MATLAB structure contains the following fields:1) trialinfo - task info for MMR task which requires patients to press 1 if the math, memory, or fact statement is true and 2 if the statement is false2) time - the length of EEG recording3) fsample - the sampling rate in Hz4) wave - high frequency broadband EEG data5) label - electrode labels6) chan_num - channel number of recorded electrodes7) bad_trials - list of task trials reaching exclusion criteria 8) badChan - list of recorded channels reaching exclusion criteria9) project_name - name of task10) cortex - reconstructed surface of 3D cortex11) volumes - reconstructed volume of 3D cortex12) elinfo - electrode locations and anatomical labels
DOI: 10.15468/beajs2
title: Three new species of the genus Anomala S, 1819 from Borneo of the fulvofusca-species group (Coleoptera: Scarabaeidae: Rutelinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zorn, Carsten (2007): Three new species of the genus Anomala S, 1819 from Borneo of the fulvofusca-species group (Coleoptera: Scarabaeidae: Rutelinae). Beiträge Zur Entomologie = Contributions to Entomology 57 (2): 277-283, DOI: 10.21248/contrib.entomol.57.2.277-283, URL: https://www.contributions-to-entomology.org/article/view/1704
DOI: 10.5281/zenodo.4793764
title: Replication Archive for "Parental Disability and Teenagers' Time Allocation"

description: This archive includes the STATA code to replicate all results in the referenced paper.
DOI: 10.5519/qd.qyf4h329
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28 records)
DOI: 10.15468/dnrnv6
title: On the Alevonota species of the Western Palaearctic region (Coleoptera: Staphylinidae: Aleocharinae: Athetini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wunderle, Volker Assing Paul (2008): On the Alevonota species of the Western Palaearctic region (Coleoptera: Staphylinidae: Aleocharinae: Athetini). Beiträge Zur Entomologie = Contributions to Entomology 58 (5): 145-189, DOI: 10.21248/contrib.entomol.58.1.145-189
DOI: 10.15468/xe9p2n
title: Pison menkei, a new crabronid wasp in Dominican amber (Hymenoptera: Crabronidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bennett, Daniel J., Engel, Michael S. (2008): Pison menkei, a new crabronid wasp in Dominican amber (Hymenoptera: Crabronidae). Beiträge Zur Entomologie = Contributions to Entomology 58 (1): 113-119, DOI: 10.21248/contrib.entomol.58.1.113-119, URL: https://www.contributions-to-entomology.org/article/view/1720
DOI: 10.5066/p9byrdhv
title: Geologic Provinces of the Far East, 2000 (prv3al)

description: This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of the Far East (China, Mongolia, North and South Korea, Japan, Taiwan, and parts of Cambodia, Thailand and Vietnam). Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are defined by the 2000 meter bathymetric contour.