cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10354169
title: Onsu Facility #1 Tier 3 Detention Centre

description: This is a high security detention centre in Onsu (Wensu) county, Aksu prefecture, in Xinjiang. It was constructed throughout 2018, following the crackdown in 2017, and showed the construction of two new five storey residential buildings in August 2019. This highlights the way in which the camp has shown continued expansion in recent years. 
The detention centre is co-located with a separate detention centre and a maximum security prison. 
Model was created by [Orion_Int](https://twitter.com/Orion__int). It shows the centre as it appeared in January 2019.
Its coordinates are [41.08507, 80.3997](https://www.google.com/maps/place/41%C2%B005'06.3%22N+80%C2%B023'58.9%22E/@41.085074,80.3975113,871m/data=!3m2!1e3!4b1!4m5!3m4!1s0x0:0x0!8m2!3d41.08507!4d80.3997).

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354170
title: Onsu Facility #1 Tier 3 Detention Centre

description: This is a high security detention centre in Onsu (Wensu) county, Aksu prefecture, in Xinjiang. It was constructed throughout 2018, following the crackdown in 2017, and showed the construction of two new five storey residential buildings in August 2019. This highlights the way in which the camp has shown continued expansion in recent years. 
The detention centre is co-located with a separate detention centre and a maximum security prison. 
Model was created by [Orion_Int](https://twitter.com/Orion__int). It shows the centre as it appeared in January 2019.
Its coordinates are [41.08507, 80.3997](https://www.google.com/maps/place/41%C2%B005'06.3%22N+80%C2%B023'58.9%22E/@41.085074,80.3975113,871m/data=!3m2!1e3!4b1!4m5!3m4!1s0x0:0x0!8m2!3d41.08507!4d80.3997).

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354172
title: Goddess Venus, Tarraco (Tarragona, Spain)

description: Goddess Venus from the site of Tarraco (Tarragona, Spain), dated between the 1st and 2nd centuries AD. Marble torso representig the goddess Venus that probably stood in a small chapel in the cavea of the Tarraco Theatre.

343 photos completely processed in Reality Capture. The project was done with the support of the National Archaeological Museum of Tarragona and the Agència Catalana del Patrimoni Cultural. Catalog No. MNAT 45603.

Museu Nacional Arqueològic de Tarragona (2019): Tarraco: Exposición de síntesis. Generalitat de Catalunya Publicacions.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354171
title: Goddess Venus, Tarraco (Tarragona, Spain)

description: Goddess Venus from the site of Tarraco (Tarragona, Spain), dated between the 1st and 2nd centuries AD. Marble torso representig the goddess Venus that probably stood in a small chapel in the cavea of the Tarraco Theatre.

343 photos completely processed in Reality Capture. The project was done with the support of the National Archaeological Museum of Tarragona and the Agència Catalana del Patrimoni Cultural. Catalog No. MNAT 45603.

Museu Nacional Arqueològic de Tarragona (2019): Tarraco: Exposición de síntesis. Generalitat de Catalunya Publicacions.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354173
title: Pilskalns pie Pilskalniem

description: Pilskalns pie Pilskalniem. 3D modelis. Koordinātas: 56.89744,27.19209

https://www.latvijas-pilskalni.lv/pilskalns-pie-pilskalniem/

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354174
title: Pilskalns pie Pilskalniem

description: Pilskalns pie Pilskalniem. 3D modelis. Koordinātas: 56.89744,27.19209

https://www.latvijas-pilskalni.lv/pilskalns-pie-pilskalniem/

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354175
title: Cash Injection

description: One Diamond for Capitalism.
One Diamond for the Free Market.
Your life for the Sweet Bushes.

(there would be a stairway in the middle but my patience ran out)

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10354176
title: Cash Injection

description: One Diamond for Capitalism.
One Diamond for the Free Market.
Your life for the Sweet Bushes.

(there would be a stairway in the middle but my patience ran out)

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5066/f7kd1vwd
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data for Alaska linked to HUC12s
DOI: 10.5066/f76w9822
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Fishers and Farmers FHP
DOI: 10.5066/f7fb50zj
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Midwest Glacial Lakes FHP
DOI: 10.5066/f7zc80ws
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Lakes Basin FHP
DOI: 10.5066/f79p2zn5
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for the Ohio River Basin FHP
DOI: 10.5066/f7bk19cm
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Desert FHP
DOI: 10.5066/f7sn06zb
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Atlantic Coast FHP
DOI: 10.5066/f7tm7841
title: National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Great Plains FHP
DOI: 10.18112/openneuro.ds002785.v1.0.3
title: AOMIC-PIOP1
DOI: 10.5281/zenodo.3911501
title: Deep Learning for X-ray Tomography

description: Dataset for thesis: "Deep learning for X-ray Tomography" Contains: -rawdata: 1d tiff from CT scan -sirt_data: Reconstructions made from SIRT algorithm. -fbp_data: Reconstructions made from FBP algorithm. Reconstructed files have names &lt;shift&gt;rec&lt;cross section number&gt;.tiff
DOI: 10.5281/zenodo.3911500
title: Deep Learning for X-ray Tomography

description: Dataset for thesis: "Deep learning for X-ray Tomography" Contains: -rawdata: 1d tiff from CT scan -sirt_data: Reconstructions made from SIRT algorithm. -fbp_data: Reconstructions made from FBP algorithm. Reconstructed files have names &lt;shift&gt;rec&lt;cross section number&gt;.tiff
DOI: 10.5063/aa/knb-csun-usvi.10700
title: Virgin Islands National Park: Coral Reef: Decadal-scale changes in community structure from 1987 to 2011

description: These time series data sample percent cover of Scleractinian corals by genus measured from photo quadrats. Percent cover is given for each quadrat, each site, each year from 1987 to 2011. Counts of juvenile corals conducted in situ and small colonies less than 4 cm diameter are pooled from all sites. Supplementary data include in situ seawater temperature daily mean from 1989 to 2011. These data were used to create the figures in Edmunds, P.J., 2013, Decadal-scale changes in the community structure of coral reefs in St. John, US Virgin Islands, Marine ecology Progress Series. doi:10.3354/meps10424
DOI: 10.5439/1095319
title: ARM: AERI: LBLRTM using scaled sondes, for merging atm and AERI trailer

description: AERI: LBLRTM using scaled sondes, for merging atm and AERI trailer
DOI: 10.5439/1095307
title: ARM: Temperature Profiles from Raman Lidar at 10-min averaging interval

description: Temperature Profiles from Raman Lidar at 10-min averaging interval
DOI: 10.5439/1095324
title: ARM: AERI: LBLRTM using LBL/MWR rescaled sondes, 520-1800 wnum

description: AERI: LBLRTM using LBL/MWR rescaled sondes, 520-1800 wnum
DOI: 10.5439/1095340
title: ARM: ARSCL: derived, MMCR Mode 1 (boundary layer mode) moments (version 6/2006)

description: ARSCL: derived, MMCR Mode 1 (boundary layer mode) moments (version 6/2006)
DOI: 10.5439/1095392
title: ARM: Balloon-borne sounding system (BBSS): reprocessed WRPN without ground check

description: Balloon-borne sounding system (BBSS): reprocessed WRPN without ground check
DOI: 10.5439/1095308
title: ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

description: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm
DOI: 10.5439/1095387
title: ARM: Planetary Boundary Layer Height: Radiosonde Retrievals with yearly output

description: Planetary Boundary Layer Height: Radiosonde Retrievals with yearly output
DOI: 10.5439/1095390
title: ARM: Sonde Adjust

description: Sonde Adjust
DOI: 10.5439/1095318
title: ARM: AERI: LBLRTM, 520-830 wavenumbers

description: AERI: LBLRTM, 520-830 wavenumbers
DOI: 10.5439/1095320
title: ARM: AERI: LBLRTM using scaled sonds, 520-1800 wnum

description: AERI: LBLRTM using scaled sonds, 520-1800 wnum
DOI: 10.5439/1095598
title: ARM: Ka-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode

description: Ka-Band Scanning ARM Cloud Radar, filtered spectral data, cross-polarized mode
DOI: 10.5439/1095317
title: ARM: AERI: LBLRTM, calc. downwelling longwave radiance, 520-1800 wnum

description: AERI: LBLRTM, calc. downwelling longwave radiance, 520-1800 wnum
DOI: 10.5439/1095325
title: ARM: AERI: LBLRTM using scaled sonds for AERI trailer, 550-1800 wnum

description: AERI: LBLRTM using scaled sonds for AERI trailer, 550-1800 wnum
DOI: 10.5439/1095326
title: ARM: AERI: LBLRTM, calc. downwelling longwave radiance, 1800-3020 wavenumbers

description: AERI: LBLRTM, calc. downwelling longwave radiance, 1800-3020 wavenumbers
DOI: 10.5439/1095341
title: ARM: ARSCL: derived, MMCR Mode 2 (cirrus mode) moments (version 6/2006)

description: ARSCL: derived, MMCR Mode 2 (cirrus mode) moments (version 6/2006)
DOI: 10.5439/1095384
title: ARM: ARSCL: derived, MMCR Mode 3 (general mode) moments (version 6/2006)

description: ARSCL: derived, MMCR Mode 3 (general mode) moments (version 6/2006)
DOI: 10.5439/1095600
title: ARM: Ka ARM Zenith Radar (KAZR): highest sensitivity mode

description: Ka ARM Zenith Radar (KAZR): highest sensitivity mode
DOI: 10.5439/1095602
title: ARM: Ka ARM Zenith Radar (KAZR): filtered spectral data, high sensitivity mode, co-polarized mode

description: Ka ARM Zenith Radar (KAZR): filtered spectral data, high sensitivity mode, co-polarized mode
DOI: 10.5439/1095605
title: ARM: ARM-standard Meteorological Instrumentation, Marine

description: ARM-standard Meteorological Instrumentation, Marine
DOI: 10.5439/1095310
title: ARM: Aerosol Best Estimate, from 1st Turner algorithm

description: Aerosol Best Estimate, from 1st Turner algorithm
DOI: 10.5439/1095323
title: ARM: AERI: LBLRTM, calc. downwelling longwave radiance, 520-1800 wnum, w/lssonde

description: AERI: LBLRTM, calc. downwelling longwave radiance, 520-1800 wnum, w/lssonde
DOI: 10.5439/1095389
title: ARM: CCN Profile using Ghan algorithm

description: CCN Profile using Ghan algorithm
DOI: 10.5439/1095597
title: ARM: Ka-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode

description: Ka-Band Scanning ARM Cloud Radar, filtered spectral data, co-polarized mode
DOI: 10.5063/f1qn64nz
title: Summary of influenza A subtypes in wild birds from GenBank and 49 studies

description: Wild aquatic birds are recognized as the natural reservoir of avian influenza A viruses (AIV), but across high and low pathogenic AIV strains, scientists have yet to rigorously identify all competent hosts and subtypes. We examined 11,870 GenBank records to provide insight into patterns of global AIV subtype diversity and richness. Further, we conducted an extensive literature review and communicated directly with scientists to accumulate data from 49 study locations and over 250,000 birds. We built regional and global virus subtype incidence-based accumulation curves to better estimate sample size targets that capture a specific percentage of virus subtype diversity. Our study identifies surveillance steps needed to develop a more balanced approach that can explore the influence of host and virus subtype biodiversity on emergence and transmission, and a targeted sampling scheme to detect 75% percent of global and regional circulating virus subtypes.
DOI: 10.5066/f7g15xvk
title: Official Recognized Boundary of Great Plains Fish Habitat Partnership, 2013
DOI: 10.5066/f7pk0d5w
title: Official Recognized Boundary of Desert Fish Habitat Partnership, 2013
DOI: 10.5066/f7qj7fb5
title: Official Recognized Boundary of California Fish Passage Forum Fish Habitat Partnership (FHP), 2013
DOI: 10.5281/zenodo.3921774
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.5281/zenodo.3687090
title: Harvest in European forests

description: This repository includes the dataset associated to the following paper: <strong>Ceccherini G., G. Duveiller, G. Grassi, G. Lemoine, V. Avitabile, R. Pilli, A. Cescatti.</strong> Abrupt Increase in Forest Harvested Area over Europe After 2015
DOI: 10.5281/zenodo.3687089
title: Harvest in European forests

description: This repository includes the dataset associated to the following paper: <strong>Ceccherini G., G. Duveiller, G. Grassi, G. Lemoine, V. Avitabile, R. Pilli, A. Cescatti.</strong> Abrupt Increase in Forest Harvested Area over Europe After 2015
DOI: 10.5281/zenodo.3920591
title: Speech and Noise Corpora for Pitch Estimation of Human Speech

description: This dataset contains common speech and noise corpora for evaluating fundamental frequency estimation algorithms as convenient JBOF dataframes. Each corpus is available freely on its own, and allows redistribution: CMU-ARCTIC (<em>BSD license) [1]</em> FDA (<em>free to download)</em> [2] KEELE (<em>free for noncommercial use</em>) [3] MOCHA-TIMIT (<em>free for noncommercial use</em>) [4] PTDB-TUG (<em>ODBL license</em>) [5] NOISEX (<em>free to download</em>) [7] QUT-NOISE (<em>CC-BY-SA license</em>) [8] These files are published as part of my dissertation, "Pitch of Voiced Speech in the Short-Time Fourier Transform: Algorithms, Ground Truths, and Evaluation Methods", and in support of the Replication Dataset for Fundamental Frequency Estimation. References: John Kominek and Alan W Black. CMU ARCTIC database for speech synthesis, 2003. Paul C Bagshaw, Steven Hiller, and Mervyn A Jack. Enhanced Pitch Tracking and the Processing of F0 Contours for Computer Aided Intonation Teaching. In EUROSPEECH, 1993. F Plante, Georg F Meyer, and William A Ainsworth. A Pitch Extraction Reference Database. In Fourth European Conference on Speech Communication and Technology, pages 837–840, Madrid, Spain, 1995. Alan Wrench. MOCHA MultiCHannel Articulatory database: English, November 1999. Gregor Pirker, Michael Wohlmayr, Stefan Petrik, and Franz Pernkopf. A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. page 4, 2011. John S. Garofolo, Lori F. Lamel, William M. Fisher, Jonathan G. Fiscus, David S. Pallett, Nancy L. Dahlgren, and Victor Zue. TIMIT Acoustic-Phonetic Continuous Speech Corpus, 1993. Andrew Varga and Herman J.M. Steeneken. Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recog- nition systems. Speech Communication, 12(3):247–251, July 1993. David B. Dean, Sridha Sridharan, Robert J. Vogt, and Michael W. Mason. The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms. Proceedings of Interspeech 2010, 2010.
DOI: 10.25441/arts.12580448
title: John Miers - John Hicklenton's Zoom Meeting

description: This strip is part of an ongoing project using autobiographical drawing to express, conceptualise and cope with my experience of living with multiple sclerosis. The first instalment was produced during a postdoctoral residency in UAL’s Archives and Special Collections Centre at LCC. Guided by the residency’s requirement to respond to work held in the archives, and my existing interest in stylistic ventriloquism, I produced two anecdotal stories that adopted graphic languages inspired by Mark Beyer and Ivan Brunetti. Perhaps paradoxically, drawing “in drag” as another cartoonist provided freedom to speak without restraint about some of the most challenging aspects of my illness. In more recent work I’ve begun to address more directly my understanding of my still relatively new status as a “disabled” individual, and have incorporated aspects of my archival research that were not reflected in the earlier comic: the experiences and reflections of musician Lindsay Cooper and cartoonist John Hicklenton, both of whom suffered from MS. If there is an argument here, it is that trauma is always experienced in relation to our social world. My coming-to-terms with illness – a process that, in the case of progressive disease, can never be completed – is reframed by my response to our current state of global ill-heath and to the experiences of two individuals who passed away long before I began this work. To ask whether Hicklenton’s horrific imagery here serves as a metaphor for personal pain or pervasive pandemic is to miss the point: we all experience both simultaneously.
DOI: 10.18735/50s1-5a30
title: Brown University Carpal Dataset

description: This packaged folder contains the carpal bone anatomy for 120 wrists along with the calculated motion of the carpal bones in various postures. This version also contains the predictive quadratic surface model and the graphic user interface (GUI) that enables the user to observe the dataset. CT images of wrists from 90 healthy volunteers (43 males and 47 females) were acquired in various wrist positions. The outer cortical surfaces of the carpal bones, radius, and ulna in a 3D format, and each bone kinematics were calculated for each wrist position using a methodology described in the README file associated with the database. The database does not include soft tissue or the cartilage information of the wrist. Moreover, there is a MATLAB graphic user interface (GUI) available for you to observe the database. This dataset comes from four different NIH funding between 2001 and 2014.
DOI: 10.18735/6kjy-qs23
title: Synchronized EMG and motion capture data set for five normally developed subjects performing external rotation with right upper extremity.

description: This study is the first of its kind to utilize synchronized EMG and motion capture data to evaluate the timing and amplitude of all twenty muscle segments influencing scapulothoracic (ST) and glenohumeral (GH) motion in a group of five typically developed individuals performing five everyday shoulder motions.  Certain muscles were divided into segments due to their varying lines of action (i.e. deltoid) or varying innervations (i.e. trapezius).  The data set was evaluated for conserved muscle activation patterns among subjects and made available for validation of musculoskeletal shoulder models.
DOI: 10.18735/rstx-m495
title: MRI Data And Geometry of Left Ventricle for Mapping onto a Finite Element Model

description: This is a public data repository for the imaging data used to develop the open source code LV Data Map (https://github.com/cardiacbiomechanicsgroup/lvdatamap). This repository includes segmented canine LGE MRI processed using the freely available, MATLAB-based software Segment (http://segment.heiberg.se), mechanical activation times from DENSE MRI, and a fitted endocardial and epicardial surface mesh from CINE MRI.
DOI: 10.18735/s5r97f
title: Reference Data on Thickness and Mechanics of Tissue Layers in Musculoskeletal Extremities and Limb Anthropometry

description: This site contains data to understand the mechanics of multi-layer tissue structures of the limbs, particularly of the lower and upper legs and arms. Anatomical and mechanical data were collected on extremities of 100 adult subjects (50 male, 50 female) from the general population. An ultrasound system was instrumented with a load transducer for in vivo characterization of skin, fat, and muscle thicknesses in the extremities at unloaded and loaded (indentation) states. The unloaded state provided anatomic measures of the tissue layers for 48 regions, while the loaded state provided the tissue mechanical response in 8 regions. Details of the analysis can be found in the publication “Reference Data on Thickness and Mechanics of Tissue Layers in Musculoskeletal Extremities and Limb Anthropometry” by Neumann, et al.
DOI: 10.18735/4kn4-z685
title: Ten Simple Rules of Credible Practice of Modeling & Simulation in Healthcare: TSR Public Survey Raw Data

description: To develop the Ten Simple Rules of Credible Practice of Modeling and Simulation in Healthcare, we reached out to the global modeling and simulation (M&S) stakeholders through a survey. The public survey consisted of 32 simple rule statements which we identified through a series of discussions and an internal survey among the Committee members. This download package contains the raw data of the Ten Simple Rules of Credible Practice of Modeling and Simulation in Healthcare public survey results. The "Read Me File for TSR Data-040620.pdf" file provides details on the contents of the raw data in the "CPMS_TSR_Survey_Data-cleandata_05112016.csv" file. Refer to "Read Me File for TSR Data-040620.pdf" file of the data pakcage for information on methods.
DOI: 10.18735/454q-tx50
title: Understanding Walking in Parkinson's Disease with Wearable Sensors: IMU walking data

description: The goal of this project is to better understand walking and impaired walking (slow, shuffling or freezing of gait), in Parkinson's disease (PD) as it compares to that of age-matched healthy controls. We use data from wearable inertial measurement unit sensors (IMUs, made by APDM Inc.) to calculate gait parameters that characterize the dynamics of people walking in both a turning and barrier course designed to elicit freezing of gait (Syrkin-Nikolau et al., Neurobiology of disease, 2017 and O'Day et al., BioRxiv, 2019 https://doi.org/10.1101/671479) and over forty meters of straight forward walking, the clinical test of Parkinsonian gait. Inertial measurement unit sensors were applied laterally to both shanks for all subjects. Methods are extensively described in the above two references. The records in this database are from patients with Parkinson's disease who experience severe walking symptoms like freezing of gait (FOG), also identified as (freezers); as well as data from people with Parkinson's disease who do not experience FOG (non-freezers). All subjects are off dopaminergic medication or off subthalamic deep brain stimulation (DBS), if applicable, for the walking trials unless specified otherwise (there's a subset of the cohort that is on DBS for some trials, see more below). We also have a small cohort of age-matched healthy controls who do not have Parkinson's disease and who completed the walking tasks. There were 20 total subjects with Parkinson's disease that completed the walking tasks, but 11 of these subjects returned for a later research visit where they completed the same tasks (at least 1 year later). This makes a total of 31 records from subjects with Parkinson's disease and 9 records from age-matched healthy control subjects, for a total of 40 records.
DOI: 10.18735/jhe9-jh38
title: In Vitro Reference Models for Multi-Layer Tissue Structures (MULTIS)

description: This dataset can be used to understand the mechanics of multi-layer tissue structures of the limbs, particularly of the lower and upper legs and arms. It includes anatomical and mechanical data collected on extremities of 9 adult subjects (5 male, 4 female) from the general population. The dataset consists of computed tomography (CT) imaging, magnetic resonance (MR) imaging, and ultrasound scanning performed with a load transducer for in vitro characterization of skin, fat, and muscle thicknesses at unloaded and loaded (indentation) states. It also includes all relevant segmentations. Further details of the analysis can be found in the publication “Reference data on in vitro anatomy and mechanics of tissue layers of musculoskeletal extremities ” by Schimmoeller, et al.