cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28735544
title: Supplementary Material for: Prevalence of Pre-Treatment Sarcopenia in Patients newly diagnosed with Lymphoma

description: Introduction
Sarcopenia, defined by reduced muscle strength, mass, and performance, presents a significant challenge in cancer care due to its impact on treatment outcomes, quality of life, and survival. This study aimed to assess its prevalence in newly diagnosed malignant lymphoma patients.
Materials and Methods
Adults planned for first-line anthracycline-based chemotherapy were enrolled and screened for sarcopenia before treatment. Sarcopenia was defined by the European guidelines (EWGSOP2) using low muscle strength (hand-grip), low muscle mass (DXA), and low physical performance (gait speed).
Results
Sixty-nine patients (mean age 57, 19 women) were included. Six patients (9%) had low hand-grip strength, 15 (22%) had low muscle mass, and four (6%) demonstrated low gait speed. Two patients met the criteria for sarcopenia, with one having severe sarcopenia. 
Conclusion
Sarcopenia prevalence was 3%, but 22% had low muscle mass, suggesting muscle strength alone may not be an optimal screening tool for lymphoma patients.
DOI: 10.11578/2409191
title: NMR Database of Lignin and Cell Wall Model Compounds.

description: This database was designed to provide a coherent, single source of NMR data of lignin and other plant cell wall model compounds. The database exists as an Adobe pdf cross-platform file for viewing and printing. This is the latest public version of the Database, version 2024/08 updated from the 2009 version.
DOI: 10.13026/kpfg-xs25
title: ECG Fragment Database for the Exploration of Dangerous Arrhythmia

description: The database contains a set of 2 second fragments of ECG signals with rhythm
disturbances, which are grouped into separate classes according to the degree
of threat to the patient's life. It is intended for practical use to develop
and test the efficiency of algorithms for detecting dangerous arrhythmias for
continuous monitoring systems.

The "MIT-BIH Malignant Ventricular Ectopy Database" (MVED) was selected as the
primary source of ECG records. This database contains heart rhythm
disturbances necessary for research and is widely used for testing and
comparative analysis of various algorithms for detecting arrhythmia threats.
The signal is a modified limb lead II (MLII).
DOI: 10.13026/s6n6-xd98
title: MIMIC-IV

description: Retrospectively collected medical data has the opportunity to improve patient
care through knowledge discovery and algorithm development. Broad reuse of
medical data is desirable for the greatest public good, but data sharing must
be done in a manner which protects patient privacy. The Medical Information
Mart for Intensive Care (MIMIC)-III database provided critical care data for
over 40,000 patients admitted to intensive care units at the Beth Israel
Deaconess Medical Center (BIDMC). Importantly, MIMIC-III was deidentified, and
patient identifiers were removed according to the Health Insurance Portability
and Accountability Act (HIPAA) Safe Harbor provision. MIMIC-III has been
integral in driving large amounts of research in clinical informatics,
epidemiology, and machine learning. Here we present MIMIC-IV, an update to
MIMIC-III, which incorporates contemporary data and improves on numerous
aspects of MIMIC-III. MIMIC-IV adopts a modular approach to data organization,
highlighting data provenance and facilitating both individual and combined use
of disparate data sources. MIMIC-IV is intended to carry on the success of
MIMIC-III and support a broad set of applications within healthcare.
DOI: 10.15468/dl.85m6my
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Neptis nata Moore, 1857, Prosotas nora (Felder, 1860), Notocrypta paralysos (Wood-Mason & de Nicéville, 1881), Zizula hylax (Fabricius, 1775), Prosotas dubiosa (Semper), Lethe chandica (Moore, 1857))",
 "Year 2015-2022"
 ]
}

 The dataset includes 833 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047755-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/ieda/318037
title: Multi-Channel Seismic Shot Data from the Bering Sea acquired during the R/V Marcus G. Langseth expedition MGL1111 (2011)

description: This data set was acquired with the LDEO Multi-Channel Seismic system during R/V Marcus G. Langseth expedition MGL1111 conducted in 2011 (Chief Scientist: Dr. Ginger Barth). These data files are of SEGD format and include Multi-Channel Reflection Seismic shot data that have not been processed. Data were acquired as part of the US Extended Continental Shelf Project.
DOI: 10.17632/9dz247gnyb.2
title: Perceptual Voice Qualities Database (PVQD)

description: This database was created through generous funding from The Voice Foundation's Advancing Scientific Voice Research Grant and contains voice samples which have been rated by experienced voice professionals (at least 3 different raters with a minimum of 2 years’ clinical experience) in order to provide educators with standardized materials to better train pre-service clinical voice professionals. It contains 296 audio files consisting of the sustained /a/ and /i/ vowels and the sentences from the Consensus Auditory-Perceptual Evaluation of Voice (CAPE-V; Kempster, 2007). All recordings were made in a quiet clinical environment using a head-mounted condenser microphone at a 6-centimeter distance from the corner of the mouth and the Computerized Speech Lab (CSL) using 16-bit encryption and a sampling rate of 48k. Audio recordings have been edited as best as possible to remove all clinician instructions. However, please listen to and look at each file carefully just in case there was simultaneous clinician-client talk. Listeners rated approximately 50 files each and each file was rated twice for reliability measurement (for a total of approximately 100 ratings per rater). Raters used a computer to listen to the samples and rate voice quality via a web-based system that included custom-made electronic scales for the CAPE-V (Kempster, 2007) and the GRBAS (Hirano, 1981) using Qualtrics survey software. Listeners rated each file on a 100-point visual analogue scale (VAS) to mimic the paper-based CAPE-V protocol. Please note that severity markers (mild, moderate, severe) were not included on the 100-point VAS to avoid influencing the concurrent rating using the GRBAS scale. Raters were urged to rate the samples over several days to avoid fatigue. Further description of methods is located in the folders below. Questions about the database can be directed to Patrick R. Walden, Ph.D., CCC-SLP at waldenp@stjohns.edu. References: Kempster G. CAPE-V: Development and Future Direction. Perspect Voice Voice Dis. 2007;17(2):11-13. doi:10.1044/vvd17.2.11 Hirano M. Clinical Examination of Voice. Springer-Verlag; 1981.
DOI: 10.17632/rwvskwtfts.1
title: Just Stop Oil November 2022 Polling - Radical Flank Effect

description: Our hypothesis:
The presence of a radical (versus moderate) flank will lead to a) more identification with and b) greater support for the moderate group. 

In this instance, the radical group being studied is Just Stop Oil and the moderate group will be Friends of the Earth.

We conducted a nationally representative survey, through YouGov, before and after a large direct action campaign by Just Stop Oil. The specific campaign by Just Stop Oil involved a week of blockading the M25 motorway that surrounds London. The campaign ran from Monday 7th November to Friday 11th November. Our survey was conducted longitudinally, such that the same participants were contacted before and after the campaign. Our first survey on Friday 4th November had 1741 respondents, whilst our second, starting on Monday 14th and concluding on Monday 21st, had 1415 respondents. This equates to an overall retention rate of 81.3%.

See more in our registration document attached below
DOI: 10.17632/tdfb4fgghy.2
title: Romanian Earthquake Catalogue (ROMPLUS)

description: ROMPLUS 984-2022 (Romanian earthquake catalogue)

The ROMPLUS catalogue is based on compiled data and on new locations. For the period 984-1979, locations were compiled from the Constantinescu and Marza (1980) catalogue; for the period 1980-1990, all events were located based on analog seismograms. After 1990, location of the earthquakes was done using digital recordings. Between 1990 and the end of 2013, locations were determined using the HYPOPLUS (Oncescu et al., 1996) program, a 1D velocity model and stations corrections. Starting with 2014, the earthquake location is obtained using Antelope software. In the present form, a single magnitude scale (Mw moment magnitude scale) is adopted for all the events. Different magnitude scales (MGR, MS, mb, ML and MD) used before 2014 were converted into Mw, based on calibration relations presented in Oncescu et al., 1999.

References: 
Oncescu M.C., Marza V.I., Rizescu M., Popa M. (1999). The Romanian earthquake catalogue between 984-1997, F.Wenzel et al. (eds.), Vrancea Earthquakes: Tectonics, Hazard and Risk Mitigation, 43-47,  Kluwer Academic Publishers.
Oncescu M.C., Rizescu M., Bonjer K.P. (1996). SAPS – A completely automated and networked seismological acquisition and processing system, Computers & Geosciences 22, 89-97.
Constantinescu L. and Marza V.I. (1980). A computer-compiled and computer-oriented catalogue of Romania’s earthquakes during a millennium (AD 984-1979), Rev. Roum. Geophys. 24, 193-234.
DOI: 10.18167/dvn1/3alnbu
title: Body Condition Scoring Grid for Yellow Cattle (Vietnam)

description: In tropical countries subject to significant quantitative and qualitative variations in the availability of fodder during the year, the dissatisfaction of feed needs is a frequent situation for animals reared in grazing systems without a sufficient supplementation with feed concentrates. The Body Condition Scoring (BCS) is a useful way to assess the state of body reserves (subcutaneous fat, muscle mass) which reflects the animal's production (growth, milk, work) and reproduction capacities. The evaluation of the body reserves of an animal through the scoring of their body condition is important to adjust their diet and appreciate their general state of health, as well as their reproductive and production capacity (meat, milk, work, etc.). Managing body reserves is one way of responding to variability in quality and access to feed resources. In females, reserves play an important buffer role during lactation. They can make up for insufficient intakes from the ration. Indeed, the level of production depends on the nutrients provided by the feeds, but also on the animal's body reserves when the feed-based supplies do not fully cover their needs, especially during the dry season. The BCS impacts the interval between two calving. Overly lean cows show a delay in the return of heat after calving, the direct consequence of which is the increase in the parturition interval and consequently a decrease in herd productivity. The assessment of these reserves through Body Condition Scoring (BCS) represents a management tool for livestock farmers, agricultural advisors, and livestock development stakeholders. BCS is a simple, inexpensive and fast method. Several animals can be scored in one session. It allows to compare the BCS of individuals or herds: 1) raised in different production systems or environments, 2) or, during different seasons (dry season and rainy season). BCS can be used as a tool for monitoring and alerting the nutritional level of domestic animal populations. To do this, BCS alert thresholds and a BCS collection and monitoring system must be defined on reasoned samples of animal populations. It is an easy-to-use field tool. However, a good mastery of the BCS grid as well as a regular practice of scoring are necessary to obtain precise and reproducible ratings. It can also be used as a tool for monitoring and alerting the nutritional level of animal populations. Thus, the farmer can be called at any time to intervene on the feed ration and / or the health of the animal. The BCS grid currently used in the intervention area of the Beef Cattle 2 project, does not seem to have been developed with reference to the breeds of cattle present in Northern Vietnam. This is the reason why we propose this BCS grid adapted to Yellow Cattle (crossbred Bos indicus x Bos taurus). In 2020, Vall proposed a standardized BCS scoring system for tropical livestock animals for large animals (cattle, camels), small animals (sheep, and goats) and for donkeys, and horses. This document presents this BCS system applied to the Yellow cattle.
DOI: 10.18167/dvn1/ykl19q
title: Body Condition Scoring Grid for Buffaloes (Vietnam)

description: In tropical countries subject to significant quantitative and qualitative variations in the availability of fodder during the year, the dissatisfaction of feed needs is a frequent situation for animals raired in grazing systems without a sufficient supplementation with feed concentrates. The Body Condition Scoring (BCS) is a useful way to assess the state of body reserves (subcutaneous fat, muscle mass) which reflects the animal's production (growth, milk, work) and reproduction capacities. The evaluation of the body reserves of an animal through the scoring of their body condition is important to adjust their diet and appreciate their general state of health, as well as their reproductive and production capacity (meat, milk, work, etc.). Managing body reserves is one way of responding to variability in quality and access to feed resources. In females, reserves play an important buffer role during lactation. They can make up for insufficient intakes from the ration. Indeed, the level of production depends on the nutrients provided by the feeds, but also on the animal's body reserves when the feed-based supplies do not fully cover their needs, especially during the dry season. The BCS impacts the interval between two calving. Overly lean cows show a delay in the return of heat after calving, the direct consequence of which is the increase in the parturition interval and consequently a decrease in herd productivity. The assessment of these reserves through Body Condition Scoring (BCS) represents a management tool for livestock farmers, agricultural advisors and livestock development stakeholders. BCS is a simple, inexpensive and fast method. Several animals can be scored in one session. It allows to compare the BCS of individuals or herds: 1) raised in different production systems or environments, 2) or, during different seasons (dry season and rainy season). BCS can be used as a tool for monitoring and alerting the nutritional level of domestic animal populations. To do this, BCS alert thresholds and a BCS collection and monitoring system must be defined on reasoned samples of animal populations. It is an easy-to-use field tool. However, a good mastery of the BCS grid as well as a regular practice of scoring are necessary to obtain precise and reproducible ratings. It can also be used as a tool for monitoring and alerting the nutritional level of animal populations. Thus, the farmer can be called at any time to intervene on the feed ration and / or the health of the animal. The BCS grid currently used in the intervention area of the Beef Cattle 2 project, does not seem to have been developed with reference to the breeds of buffaloes present in Northern Vietnam. This is the reason why we propose this BCS grid adapted to Buffaloes (Bubalus bubalis). In 2020, Vall proposed a standardized BCS scoring system for tropical livestock animals for large animals (cattle, camels), small animals (sheep, and goats) and for donkeys, and horses. This document presents this BCS system applied to the Buffalo.
DOI: 10.23729/b07462e8-9e31-428c-bdd5-deb1890c608b
title: NMC, NCA, and LFP Cells Degradation Under Randomized Current Profiles

description: A set of three types of Li-ion cells (NMC, NCA, and LFP) were run through different operational profiles at room temperature. Charging was carried out in a constant current (CC) mode at cell's nominal charging current until the cell voltage reached the cut-off voltage, and then continued in a constant voltage (CV) mode until the charge current dropped to cut-off current. After charging, cells were discharged to cut-off voltage using a randomized sequence of discharging loads. Discharging periods last 1 minutes each, while a new discharging setpoint is selected. Additionally, every 200 cycles, the RW loads were updated. Every 20 of RW cycles, Periodic Hybrid Dynamic Pulse Power Characterization (HPPC) and Constant Current (CC) discharging profiles were executed as reference performance testing (RPT) to monitor transient dynamics and overall performance changes.

You will find a struct with the following fields.
Files:
&gt; NCA
 -OCV
 -NCA_CELL_1
 -NCA_CELL_2
 -NCA_CELL_3
 -NCA_CELL_4
&gt; NMC
 -OCV
 -NMC_CELL_1
 -NMC_CELL_2
&gt; LFP
 -OCV
 -LFP_CELL_1
 -LFP_CELL_2
&gt; Ambient Temp

&gt; 1. **Cycle** (number of the current cycle)
&gt; 2. **Time** (date and time at which the current cycle was started in dd-Mon-yyyy HH:MM:SS format)
&gt; 3. **Voltage** (vector of sample voltage in units of Volts) 
&gt; 4. **Current** (vector of current in units of Amps)
&gt; 5. **Temperature** (vector of sample temperature in units of degrees C)
&gt; 6. **Comment** (Type of the current cycle )
DOI: 10.25346/s6/7hguo3
title: Phase Space Density Profiles per Mu/K

description: This contains the .mat files which house the Phase Space Density Data obtained from Van Allen Probe-A per Mu/K binned per inbound/outbound pass. These files also contain where each respective LAP and RDP profile was found.
DOI: 10.25921/16be-d760
title: Quagga mussel (Dreissena rostriformis bugensis) shell and tissue measurements collected in the Laurentian Great Lakes since 2015

description: Invasive dreissenid mussels (quagga mussels, Dreissena rostriformis bugensis and zebra mussels, D. polymorpha) were introduced to the Laurentian Great Lakes in the 1980’s and have since spread throughout the Great Lakes basin and across North America. This collection contains shell length, shell weight, and tissue weights from quagga mussels collected from multiple stations in the Great Lakes in conjunction with the Cooperative Science and Monitoring Initiative (CSMI) cycle and the NOAA Great Lakes Environmental Research Laboratory (GLERL) Long-Term Research program. Stations were selected to represent a range of depth zones and the major geographic regions of each lake.
DOI: 10.25921/re9p-pt57
title: NOAA 0.25-degree Daily Optimum Interpolation Sea Surface Temperature (OISST), Version 2.1
DOI: 10.35111/17gk-bn40
title: TIMIT Acoustic-Phonetic Continuous Speech Corpus

description: <h3>Introduction</h3><br>
<p>The TIMIT corpus of read speech is designed to provide speech data for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. TIMIT contains broadband recordings of 630 speakers of eight major dialects of American English, each reading ten phonetically rich sentences. The TIMIT corpus includes time-aligned orthographic, phonetic and word transcriptions as well as a 16-bit, 16kHz speech waveform file for each utterance. Corpus design was a joint effort among the Massachusetts Institute of Technology (MIT), SRI International (SRI) and Texas Instruments, Inc. (TI). The speech was recorded at TI, transcribed at MIT and verified and prepared for CD-ROM production by the National Institute of Standards and Technology (NIST).</p><br>
<p>The TIMIT corpus transcriptions have been hand verified. Test and training subsets, balanced for phonetic and dialectal coverage, are specified. Tabular computer-searchable information is included as well as written documentation.</p><br>
<h3>Samples</h3><br>
<ul><br>
<li><a href="desc/addenda/LDC93S1.phn" rel="nofollow">phonemes</a></li><br>
<li><a href="desc/addenda/LDC93S1.txt" rel="nofollow">transcripts</a></li><br>
<li><a href="desc/addenda/LDC93S1.wav" rel="nofollow">audio</a></li><br>
<li><a href="desc/addenda/LDC93S1.wrd" rel="nofollow">word list</a></li><br>
</ul></br>
Portions © 1993 Trustees of the University of Pennsylvania
DOI: 10.5066/p908gl5g
title: Mercury and Methylmercury Concentrations in Litterfall Samples Collected at Selected National Atmospheric Deposition Program Sites during 2017 to 2019

description: The movement of mercury (Hg) from the atmosphere to the biosphere occurs by both wet and dry deposition to solid surfaces, water, and vegetation. Most of the annual dry atmospheric Hg deposition in deciduous forests is believed to originate from litterfall which consists mainly of dead leaves that fall to the earth?s surface, primarily during the autumn and winter seasons. Atmospheric Hg reaches an annual maximum concentration in leaves at the time of leaf fall. Analysis of litterfall samples helps to quantify total annual atmospheric Hg deposition to forests when combined with precipitation Hg data. This data set is derived from litterfall samples collected during 2017-18 and 2018-19 at 27 selected National Atmospheric Deposition Program (NADP) sites in 12 states located across the eastern half of the United States. Through the Litterfall Mercury Monitoring Initiative (LMMI), operated by the U.S. Geological Survey (USGS), litterfall sample collectors were distributed to the selected NADP sites where site operators retrieved multiple 4-week-long samples during the leaf fall period. These samples were collected and shipped to the USGS Mercury Research Laboratory where they were analyzed for concentrations of total Hg and methylmercury (MeHg), and litterfall dry mass was also determined. The samples for total Hg and MeHg analysis represent composites from 4 collectors across all sample collections at each site during the litterfall season. Litterfall dry mass was determined from all 8 sample collectors across all sample collections.
DOI: 10.5066/p9mcj9b6
title: Airborne Electromagnetic and Magnetic Survey, Yellowstone National Park, 2016 - Minimally Processed Data

description: Airborne electromagnetic (AEM) and magnetic survey data were collected during November and December 2016 along 4,212 line-kilometers over Yellowstone National Park, Wyoming. The survey was conducted as part of a study of the subsurface geologic structure and geothermal and groundwater resources of Yellowstone National Park. The survey was designed to image the subsurface plumbing of Yellowstone's myriad thermal features by constraining the geometry of the major hydrostratigraphic contacts and mapping regional-scale geologic structures. Data were acquired by SkyTEM ApS with the SkyTEM 312M time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was flown along six block-style line groups with a nominal line spacing of 450 meters (m), one block-style line group with a nominal line spacing of 250 m, two block-style line groups with a nominal line spacing of 150 m, and a series of regional reconnaissance lines with 5 km nominal line spacing. Due to terrain complexity, the mean flight height was about 48 m. The AEM depth of investigation varies considerably with subsurface resistivity, however the maximum depth of investigation is about 500 m. This data release includes minimally processed (raw) AEM and magnetic data as delivered by the contractor. A subsequent data release will include processed AEM data and inverted resistivity models used for USGS interpretation. Minimally processed digital data from production flights are provided and described in an accompanying data dictionary in open data format. The complete data package received from the contractor is included in a separate zip-file directory and described in the contractor's report (pdf file included with this data release).