cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.4/plates/108_75422
title: Digital object identifier (DOI) for the plate 75422 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75423
title: Digital object identifier (DOI) for the plate 75423 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75424
title: Digital object identifier (DOI) for the plate 75424 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75425
title: Digital object identifier (DOI) for the plate 75425 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75426
title: Digital object identifier (DOI) for the plate 75426 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75427
title: Digital object identifier (DOI) for the plate 75427 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75428
title: Digital object identifier (DOI) for the plate 75428 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75429
title: Digital object identifier (DOI) for the plate 75429 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75430
title: Digital object identifier (DOI) for the plate 75430 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75431
title: Digital object identifier (DOI) for the plate 75431 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75432
title: Digital object identifier (DOI) for the plate 75432 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75433
title: Digital object identifier (DOI) for the plate 75433 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75434
title: Digital object identifier (DOI) for the plate 75434 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75435
title: Digital object identifier (DOI) for the plate 75435 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75436
title: Digital object identifier (DOI) for the plate 75436 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75437
title: Digital object identifier (DOI) for the plate 75437 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75438
title: Digital object identifier (DOI) for the plate 75438 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75439
title: Digital object identifier (DOI) for the plate 75439 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75440
title: Digital object identifier (DOI) for the plate 75440 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75441
title: Digital object identifier (DOI) for the plate 75441 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75442
title: Digital object identifier (DOI) for the plate 75442 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75443
title: Digital object identifier (DOI) for the plate 75443 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75444
title: Digital object identifier (DOI) for the plate 75444 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75445
title: Digital object identifier (DOI) for the plate 75445 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75446
title: Digital object identifier (DOI) for the plate 75446 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75447
title: Digital object identifier (DOI) for the plate 75447 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75448
title: Digital object identifier (DOI) for the plate 75448 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75449
title: Digital object identifier (DOI) for the plate 75449 in archive 108 from the APPLAUSE DR4
DOI: 10.26179/hf3f-2s14
title: Biological quadrat images of the seafloor of Ellis Fjord
DOI: 10.17876/plate/dr.4/plates/108_75450
title: Digital object identifier (DOI) for the plate 75450 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75451
title: Digital object identifier (DOI) for the plate 75451 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75452
title: Digital object identifier (DOI) for the plate 75452 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75453
title: Digital object identifier (DOI) for the plate 75453 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75454
title: Digital object identifier (DOI) for the plate 75454 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75455
title: Digital object identifier (DOI) for the plate 75455 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75456
title: Digital object identifier (DOI) for the plate 75456 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75457
title: Digital object identifier (DOI) for the plate 75457 in archive 108 from the APPLAUSE DR4
DOI: 10.6084/m9.figshare.21929871
title: EEG dataset for "Brainwave activities reflecting depressed mood: a pilot study"

description: EEG data from 10 participants (Partisipant A–J) with POMS-2 Depression–Dejection (DD) scores.Fourteen channels of EEG data were recorded at a sampling frequency of 128 Hz.For more information, see the paper in Related Materials.
DOI: 10.17876/plate/dr.4/plates/108_75458
title: Digital object identifier (DOI) for the plate 75458 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75459
title: Digital object identifier (DOI) for the plate 75459 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75460
title: Digital object identifier (DOI) for the plate 75460 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75461
title: Digital object identifier (DOI) for the plate 75461 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75462
title: Digital object identifier (DOI) for the plate 75462 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75463
title: Digital object identifier (DOI) for the plate 75463 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75464
title: Digital object identifier (DOI) for the plate 75464 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75465
title: Digital object identifier (DOI) for the plate 75465 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75466
title: Digital object identifier (DOI) for the plate 75466 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75467
title: Digital object identifier (DOI) for the plate 75467 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75468
title: Digital object identifier (DOI) for the plate 75468 in archive 108 from the APPLAUSE DR4
DOI: 10.17876/plate/dr.4/plates/108_75469
title: Digital object identifier (DOI) for the plate 75469 in archive 108 from the APPLAUSE DR4
DOI: 10.17632/pbmz29tw47.3
title: Nurses’ Knowledge, Skills and Preparedness for Disaster Management of a Megapolis

description: Dataset of Nurses’ Knowledge, Skills and Preparedness for Disaster Management of a Megapolis (n=410)
DOI: 10.17632/yjzs2kdwwy.1
title: Zea mays_physiological data

description: Physiological data of Zea mays plants grown under different nutritional treatments.
DOI: 10.17632/2v2dnbrp6c.1
title: COVID-19 Cancelled Examinations

description: These data were collected via online survey from September to November 2020. Participants were in either Year 12 of upper secondary education, or their first year of undergraduate study, in England, Wales or Northern Ireland. Due to the COVID-19 pandemic high-stakes examinations were cancelled over May-June 2020. For students in Year 12 it would have been secondary school exit examinations taken at the end of Year 11 (General Certificate of Secondary Education). For undergraduate students it would have been upper secondary school (or 6th form college) exit examinations taken at the end of Year 13 (General Certificate of Education: Advanced Level or Business and Technology Education Council). Participants were asked about four retrospective emotions about cancelled examinations (Relief, Gratitude, Anger, and Disappointment) and one prospective emotion (Test Anxiety). In addition participants also responded to items asking for control (expectancy and attribution) and value (positive and negative) appraisals, and academic buoyancy.

Relief, anger, and disappointment, were measured using items adapted from the Achievement Emotions Questionnaire (Pekrun et al., 2011).
Gratitude was measured using items adapted the Gratitude Questionnaire (McCulloch et al., 2002). 
Test anxiety was measured using the Multidimensional Test Anxiety Scale (Putwain et al., 2020). 
Control and value appraisals were measured using the Expectancy-Value-Cost Scale (Kosovich et al., 2017).

In the SPSS dataset retrospective emotion items are labelled E1 - E24, test anxiety items as MTAS1 -MTAS16, control-value items as EVC1 - EVC13, and academic buoyancy items as B1 - B4. 

References

Kosovich, J. J., Hulleman C. S., E. Barron, K. E., & Getty, S. (2015). A practical measure of student motivation: Establishing validity evidence for the Expectancy-Value-Cost Scale in Middle School. Journal of Early Adolescence, 35, 709-816. https://doi.org/10.1177/0272431614556890
Martin, A.J. & Marsh, H.W. (2008) Academic buoyancy: towards an understanding of students’ everyday academic resilience, Journal of School Psychology, 46, 53–83. doi:10.1016/j.jsp.2007.01.002
McCullough, M. E., Emmons, R. A., & Tsang, J. A. (2002). The grateful disposition: A conceptual and empirical topography. Journal of Personality and Social Psychology, 82, 112–127. http://dx.doi.org/10.1037/0022-3514.82.1.112
Pekrun, R., Goetz, T., Frenzel, A.C., Barchfeld, P., & Perry, R. P (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36, 36-48. https://doi.org/10.1016/j.cedpsych.2010.10.002
Putwain, D.W., von der Embse, N.P., Rainbird, E.C., & West, G. (2020). The development and validation of a new Multidimensional Test Anxiety Scale (MTAS). European Journal of Psychological Assessment, Advance Online Publication. https://doi.org/10.1027/1015-5759/a000604
DOI: 10.17632/mb3dvg8ycp.1
title: Data for: Effects of Controlled Dual Growth Factor Delivery on Bone Regeneration Following Composite Bone-Muscle Injury

description: The in vitro and in vivo quantification data
DOI: 10.17632/3p7njx344k.2
title: Comparison of the skeletal, dentoalveolar and periodontal changes after Ni–Ti leaf spring expander and rapid maxillary expansion

description: Dataset related to "Comparison of the skeletal, dentoalveolar and periodontal changes after Ni–Ti leaf spring expander and rapid maxillary expansion: a three-dimensional CBCT based evaluation"
DOI: 10.17632/yvtfcr52x6.1
title: LCH and malignancy association

description: List of cases reported in the literature of the association between Langerhans cell Histiocytosis and another malignancy which may have occurred before, concurrently or after the LCH diagnosis both during childhood or adulthood.  Details describing the two entities are derived from the published manuscripts or presentations at medical meetings.
DOI: 10.17632/gp3chfjvdv.1
title: PI3K Inhibitor Functional Profiling in CTCL

description: PI3K inhibitor functional profiling in CTCL
DOI: 10.17632/gcsgc2byps.1
title: Linkages between East China Sea Deep-sea Oxygenation and the Variability of the East Asian Summer Monsoon and Kuroshio Current over last 400,000 years

description: This dataset contains the percentage abundance of dominant benthic foraminifera, Biofacies abundance, and percentage abundance of dominant oxic, suboxic, dysoxic species of benthic foraminifera at Integrated Ocean Drilling Program Site U1429 in the East China Sea over the last 400 ka. An additional datasheet contains Shannon Index (H) and abundance of Quinqueloculina, Globobulimina, and Bulimina genus for the same period from the same site.
DOI: 10.17632/zrkxwkfvzf.1
title: Database for gender moderating effects of financial constraints on business innovation

description: Database for testing the moderating effects of gender on the relationship between financial constraints and both technological and management innovation in Spanish SMEs.

Using Stata 14:
label variable c1 "Firm age"
label variable c2 "Firm size"
label variable c3 "Industry"
label variable c4 "CEO age"
label variable c5 "CEO education"
label variable c6 "ROA"
label variable c7 "Leverage"
label variable c8 "Current ratio"
label variable c9 "Nº of Banks operating"

label define Woman 0 "Man" 1 "Woman"
label values gender Woman

bysort gender: sum afc* ips* ipp* mi* c*
corr gender afc* ips* ipp* mi* c*, means
DOI: 10.17632/x276xsft3b.1
title: Gilbert and Uetz Ethology Manuscript 2022 Raw Vibration Amplitude Data

description: Raw data on substratum-coupled vibration signals (stridulation, percussion) of spiders with and without bacterial infection.  In this study, we investigated the ability of the vibratory cues in multimodal sexual signals of Schizocosa ocreata wolf spiders to convey male health information to a female, and whether females adjust their mate choice decisions based on these cues.
DOI: 10.17632/yp7xjg4zs3.1
title: Scopus Based Occupational Therapy Research (2001-2020)

description: This data is basically analysed from the Scopus database for the literature obtained in the discipline of occupational therapy. The data will be most useful for the beginners in the occupational therapy researcher, especially in terms of their publication.
DOI: 10.17632/y774f6ncfk.1
title: Evidence for Gravity Waves in the Thermosphere of Saturn and Implications for Global Circulation

description: Gravity wave data corresponding to the article, "Evidence for Gravity Waves in the Thermosphere of Saturn and Implications for Global Circulation," Brown et al. (2022). Temperature profiles were derived from Cassini Grand Finale stellar occultation measurements originally reported in "A Pole-to-Pole Pressure-Temperature Map of Saturn's Thermosphere from Cassini Grand Finale Data" from Brown et al. (2020). 
Because gravity waves are disturbances superimposed on the mean flow/state, the vertical temperature profiles T(z) have been separated into the mean temperature and wave-induced perturbations, T′=T−<T>, where <T> denotes averaging over temporal and spatial scales much larger than wave phases. The difference between the local and mean temperature (T') gives wave amplitudes, from which energy, momentum fluxes and forcing imposed on the mean flow can be derived. See Brown et al. (2022) for details, including observation latitudes (Supporting Information Table S1).
DOI: 10.17632/m9rrv26dvf.1
title: Land-use intensity quantification and management classifications in grasslands of Germany 2017/2018

description: In Lange et. al (2022) we quantified land-use intensity (LUI) and its key parameters - grazing intensity, mowing frequency and fertiliser application - across Germany. Key parameters were classified using Convolutional Neural Networks (CNN) and Copernicus Sentinel-2 satellite data with 20 m x 20 m spatial resolution. Predictions of LUI and its components were validated using comprehensive in situ grassland management data from the DFG Biodiversity Exploratories. A feature contribution analysis using Shapley values substantiated the applicability of the methodology by revealing a high relevance of springtime satellite observations and spectral bands related to vegetation health and structure. We achieved an overall classification accuracy of up to 66% for grazing intensity, 68% for mowing, 85% for fertilisation and an r^2 of 0.82 for the subsequent LUI depiction. We evaluated the methodology's robustness with a spatial 3-fold cross-validation by training and predicting on geographically distinctly separated regions. Spatial transferability was assessed by delineating the models' area of applicability (AOA). More information can be found in the related publication.

Data is provided in GeoTiff format (projection EPSG:32632). Grazing classification bases on grazing intensity (G), given as livestock units (depending on species and age) per ha and day (Class 0: G=0, Class 1: 0 < G <= 0.33, Class 2: 0.33 < G <=0.88, Class 3: G > 0.88). Mowing counts represent the number of moving events in the respective year. Fertilisation information were aggregated into two classes: fertilised and not fertilised. Each model's AOA is given in a separate GeoTiff file, with values of 0 for areas outside and 1 for areas inside the model's AOA.

Please note:
Grassland pixels were selected according to the digital landscape model 2015 of the official topographic-cartographic information system (© GeoBasis-DE / BKG 2015).
DOI: 10.17632/vgkstr4nry.1
title: 5-MHz Particle Image Velocimetry in small-scale Multiphase Blasts

description: Experiments were designed to visualize the near field of a commercial detonator blast illuminated by the laser. The Nd:YAG burst-mode laser (532nm) and Shimadzu HPV-X2 camera are leveraged to obtain time-resolved (5 megahertz) PIV measurements from the laser illuminated images. Instead of seeding the flow, the particle field produced by the multiphase blast itself is used to track the flow.
DOI: 10.17632/p9j8j3wr62.1
title: New Occurrence of Seifertite and Stishovite in Chang’E-5 Regolith

description: This file contains backscattered electron images, bright field images, selected area electron diffraction patterns (including simulated ones), and tables related to the high-pressure polymorphs of silica in Chang'E-5 regolith.
DOI: 10.6084/m9.figshare.19491878
title: Supplemetary material - IEOM Florida

description: Constains information for paper System Dynamics in Supply Chains: A bibliometric review
DOI: 10.5281/zenodo.6403763
title: Replication package for: We are all behavioral, more or less: A taxonomy of consumer decision making

description: Code and data for reproducing tables in the paper.
DOI: 10.17632/x48cwz364j.1
title: Tropical forest gunshot classification training audio dataset

description: DATA SOURCE LOCATION
Data were collected in tropical forest sites in central Belize. Data were recorded in Tapir Mountain Nature Reserve (TMNR) and the adjoining Pook’s Hill Reserve in Cayo District, Belize [17.150, -88.860] and Manatee Forest Reserve (MFR)  and surrounding protected areas in Belize District, Belize [17.260, -88.490].

FOLDERS
The folders contain audio files recorded between 2017 and 2021. The ‘Training data’ folder and the ‘Validation data’ folder contain two temporally distinct datasets, which can be used for model training and validation. The training folder consists of 80% of the total dataset, and the validation folder comprises the remaining 20%. Within each of these folders are two folders labelled ‘Gunshot’ and ‘Background’. 

FILES
The folders contain 749 gunshot files and over 35,000 background files. The files are in Waveform Audio File Format (wav), and are each 4.09 seconds long. The first 8 alphanumeric characters of the file name corresponds to the UNIX hexadecimal timestamp of the time of recording. Some files contain additional alphanumeric characters after these initial 8 characters, which were used as unique identifying numbers during processing and do not convey any additional information.
DOI: 10.17632/dyst4zcknp.1
title: Understanding the growth mechanism of L-cystine crystal using three dimentional Monte-Carlo simulation_ Zulaikha Alharthi 

description: These are the supplementary videos of Zulaikha's thesis entitled: understanding the growth mechanism of L-cystine crystals vis three-dimensional Monte-Carlo simulation. The objective of these materials is to give more insight into the details of the growth mechanism of L-cystine crystals using insitu AFM microscopy and CrystalGrower package. This study investigated the mechanism by which L-cystine imposter (L-cystine dimethyl ester, L-cystine methyl ester and N-acetyl L-cysteine) inhibit the crystal grwoth. The changes in crystal morphology, as well as polymorph, was interpreted using kinetic Monte-Carlo simulation. The changes in the crystal habit from hexagonal disc to hexagon prism is proved by poisoning certain sites in ab plane where the ring-like conformation of H-bonding was disrupted. The changes on the crystal surface were investigated using AFM. 
The study deciphers the influence of stress around the dislocation core in both growth and dissolution processes. The growth of L-cystine was followed using insitu AFM. The presence of two different types of dislocations on the surface and their importance on the growth, the different types of stress and the details of dissolution spirals are examples of the results obtained via AFM. These results are explained using CrystalGrower and extended to kinetic perspectives using simulation output. 
Like molecular crystals, L-cystine is characterised by anisotropic bonding that shows a couple of interesting features on the crystal surface. These were detailed using AFM. These are finger-like structures, islands amidst growing layers, composite spirals, multi-spirals and a sequence of steps colliding and annihilating each other. The finger features were successfully simulated and explained in view of growth anisotropy in the main growth directions of the crystal.
DOI: 10.48567/wv2s-x717
title: Mizuho Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/yxz1-g702
title: Minna Bluff Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/bpn1-rw98
title: Marilyn Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/9hfp-ak52
title: Margaret Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/83aq-3a80
title: Marble Point II Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/2wra-c070
title: Marble Point Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.48567/rjq4-5n66
title: Manuela Automatic Weather Station, 2020 quality-controlled observational data.
DOI: 10.34740/kaggle/dsv/3389921
title: PT Behavioural Database
DOI: 10.34740/kaggle/dsv/3389940
title: PT Behavioural Database
DOI: 10.5281/zenodo.6403789
title: Custom language model checkpoints used in "Testing the limits of natural language models for predicting human language judgments"

description: Checkpoint files for an RNN, LSTM, BILSTM and n-gram models used the paper "Testing the limits of natural language models for predicting human language judgments"
DOI: 10.5281/zenodo.6403788
title: Custom language model checkpoints used in "Testing the limits of natural language models for predicting human language judgments"

description: Checkpoint files for an RNN, LSTM, BILSTM and n-gram models used the paper "Testing the limits of natural language models for predicting human language judgments"
DOI: 10.5517/ccdc.csd.cc26wrc7
title: CCDC 2052459: Experimental Crystal Structure Determination

description: Related Article: Fan Yin, Jianbo De, Han Huang, Yuan Li, Meihui Liu, Shuai Li, Chunling Gu, Jiannian Yao, Qing Liao, Hongbing Fu|2022|J.Mater.Chem.C|10|4166|doi:10.1039/D1TC05280B
DOI: 10.5517/ccdc.csd.cc283hnk
title: CCDC 2088738: Experimental Crystal Structure Determination

description: Related Article: Nabila Braïa, Mounia Merabet-Khelassi, Martial Toffano, Regis Guillot, Louisa Aribi-Zouioueche|2022|Org.Biomol.Chem.|20|2693|doi:10.1039/D2OB00047D
DOI: 10.5517/ccdc.csd.cc283hpl
title: CCDC 2088739: Experimental Crystal Structure Determination

description: Related Article: Nabila Braïa, Mounia Merabet-Khelassi, Martial Toffano, Regis Guillot, Louisa Aribi-Zouioueche|2022|Org.Biomol.Chem.|20|2693|doi:10.1039/D2OB00047D
DOI: 10.5517/ccdc.csd.cc283hqm
title: CCDC 2088740: Experimental Crystal Structure Determination

description: Related Article: Nabila Braïa, Mounia Merabet-Khelassi, Martial Toffano, Regis Guillot, Louisa Aribi-Zouioueche|2022|Org.Biomol.Chem.|20|2693|doi:10.1039/D2OB00047D