cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23902533
title: (Primary Data Set) _ Complex Trackway Measurements for Experimental Trackways (Symmetric Only for Statistical Analysis)

description: This is the actual dataset containing the characteristics and trackway measurements for each analyzed trackway segment (symmetric only--asymmetric trackways not included). Contains also the picture file number analyzed for each trackway (refer to annotated/drawn photos). For explanation of the parameters/variables used see Supplementary Material A, "Explanation of Complex Trackway Characteristics and Measurements Used.docx"
DOI: 10.6084/m9.figshare.23902533.v1
title: (Primary Data Set) _ Complex Trackway Measurements for Experimental Trackways (Symmetric Only for Statistical Analysis)

description: This is the actual dataset containing the characteristics and trackway measurements for each analyzed trackway segment (symmetric only--asymmetric trackways not included). Contains also the picture file number analyzed for each trackway (refer to annotated/drawn photos). For explanation of the parameters/variables used see Supplementary Material A, "Explanation of Complex Trackway Characteristics and Measurements Used.docx"
DOI: 10.25678/000bzd
title: Data for: The water flow diagram (Bern, Switzerland)

description: This package hosts the background information and the excel file that is necessary to build the Water Flow Diagram of Bern (Switzerland). The Water Flow Diagram (WFD) is a visual tool that shows in one picture all the water resources and flows and identifies the challenges and opportunities of integrated (urban) water management in a specific area, usually a city.
DOI: 10.5281/zenodo.10481752
title: Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)

description: O dataset "Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)" publicado em http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4APNC2H
description: Title: Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)

Authors: Beatriz Figueiredo Cabral, Débora Joana Dutra, Paulo Maurício Alencastro Graça Lima, Aurora Miho Yanai, Ricardo Dalagnol, Raimundo Cajueiro Leandro, Philip Martin Fearnside e Liana Oighenstein Anderson 

Contact: Débora Joana Dutra (ddutra.ambiental@gmail.com) e Beatriz Figueiredo Cabral (beatriz.figueiredocabral@gmail.com)

Dataset usage: Sinta-se à vontade para usar este conjunto de dados gratuitamente, e ficaríamos gratos se você pudesse citar o repositório e nosso relatório ao usá-lo em seu trabalho. Além disso, acolhemos genuinamente a oportunidade de colaboração. Sinta-se convidado a entrar em contato se estiver interessado em trabalhar juntos. Suas contribuições e insights são sempre apreciados.

 
description: Para detalhes sobre a utilização, consulte o material disponível em: http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4APNC2H
DOI: 10.5281/zenodo.10481753
title: Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)

description: O dataset "Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)" publicado em http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4APNC2H
description: Title: Relatório de Campo 2023 - Boca do Acre, Bujari, Manoel Urbano e Sena Madureira (Sudoeste da Amazônia)

Authors: Beatriz Figueiredo Cabral, Débora Joana Dutra, Paulo Maurício Alencastro Graça Lima, Aurora Miho Yanai, Ricardo Dalagnol, Raimundo Cajueiro Leandro, Philip Martin Fearnside e Liana Oighenstein Anderson 

Contact: Débora Joana Dutra (ddutra.ambiental@gmail.com) e Beatriz Figueiredo Cabral (beatriz.figueiredocabral@gmail.com)

Dataset usage: Sinta-se à vontade para usar este conjunto de dados gratuitamente, e ficaríamos gratos se você pudesse citar o repositório e nosso relatório ao usá-lo em seu trabalho. Além disso, acolhemos genuinamente a oportunidade de colaboração. Sinta-se convidado a entrar em contato se estiver interessado em trabalhar juntos. Suas contribuições e insights são sempre apreciados.

 
description: Para detalhes sobre a utilização, consulte o material disponível em: http://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/4APNC2H
DOI: 10.6084/m9.figshare.7273352
title: Enhancement of Pitting Corrosion Resistance of Austenitic Stainless Steel Through Deposition of Amorphous/Nanocrystalline Oxy-nitrided Phases by Active Screen Plasma Treatment

description: In this research, AISI 304 austenitic stainless steels were efficient treatment using active screen plasma oxy-nitriding technique. The modified layers were characterized by X-ray photoelectron spectroscopy, X-ray diffraction, scanning electron microscopy, transmission electron microscopes, and atomic force microscopy. In addition, the pitting corrosion resistances of untreated and oxy-nitrided samples were analyzed by polarization method in 3.5 wt.% NaCl solution. The results showed that a duplex-layer consisting of a deposition layer and a diffusion layer (including CrN+α phase and nitrogen expanded austenite phase) was generated. Special concern has been given to the formation of an amorphous top layer for the deposition of nano sized oxy-nitrides. It believed that the deposition layer of oxy-nitrides formed on steel surface during active screen plasma oxy-nitriding that lead to improved corrosion resistance of AISI 304 austenitic stainless steel, so that the pitting corrosive attack can be avoided.
DOI: 10.25345/c5qn5zp20
title: MassIVE MSV000094191 - A central helical hairpin in SPD-5 enables centrosome strength and assembly
title: Cross-linked samples consist of middle region of SPD-5 (541-677) plus 18 amino acids at the N-terminus (MGSSHHHHHHENLYFQSN) which we term F1. Two F1 samples (7.6 uM) were incubated with either kinase dead or constitutively active PLK-1 plus ATP-MgCl2 in a 150 mM KCl, 25mM HEPES, pH7.4 buffer for 2 hours at room temperature. Samples were then cross-linked using 8mM DMTMM for 45min and quenched with 50 mM ammonium bicarbonate for 15 min at RT shaking at 300rpm. Samples ran on a 16-20% SDS-page gel revealing a monomer band and a dimer band in both conditions using a coomassie based stain. Monomer bands (LUM2_1076612, PLK-1 KD, LUM2_1076614, PLK-1 -CA) and dimer bands (LUM2_1076613, PLK-1 KD, LUM2_1076615, PLK-1 KD) were excised.
DOI: 10.25678/000bwa
title: Data for: The water flow diagram (Santa Maria Bulacan, Philippines)

description: This package hosts the background information and the excel file that is necessary to build the Water Flow Diagram of Santa Maria Bulacan (Philippines). The Water Flow Diagram (WFD) is a visual tool that shows in one picture all the water resources and flows and identifies the challenges and opportunities of integrated (urban) water management in a specific area, usually a city.
DOI: 10.21227/qwf5-gz43
title: IEEEXtreme 13: Xtreme Rappers

description: This dataset contains a total of 17319 submissions, with 5% correct solutions and 85% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/xtreme-rappers/ See the included PDF document for details about the original challenge.
DOI: 10.3886/e167601
title: Data and Code for: Improving Women’s Mental Health During a Pandemic

description: This paper evaluates a randomized over-the-phone counseling intervention aimed at mitigating the mental health impact of COVID-19 on a sample of 2,402 women across 357 villages in Bangladesh. We find that the provision of 2 hours of mental support plus information on COVID-19 improves mental health ten months post-intervention, leading to reductions of 20% in the prevalence of moderate and severe stress and 33% in depression. Our results suggest that this type of low-cost intervention ($14 per person) can be effective in providing rapid psychological support to vulnerable groups in times of crises.<br>
DOI: 10.3886/e167601v1
title: Data and Code for: Improving Women’s Mental Health During a Pandemic

description: This paper evaluates a randomized over-the-phone counseling intervention aimed at mitigating the mental health impact of COVID-19 on a sample of 2,402 women across 357 villages in Bangladesh. We find that the provision of 2 hours of mental support plus information on COVID-19 improves mental health ten months post-intervention, leading to reductions of 20% in the prevalence of moderate and severe stress and 33% in depression. Our results suggest that this type of low-cost intervention ($14 per person) can be effective in providing rapid psychological support to vulnerable groups in times of crises.<br>
DOI: 10.25678/000byc
title: Data for: The water flow diagram (Rio Pardo de Minas, Brazil))

description: This package hosts the background information and the excel file that is necessary to build the Water Flow Diagram of Rio Pado de Minas (BRazil). The Water Flow Diagram (WFD) is a visual tool that shows in one picture all the water resources and flows and identifies the challenges and opportunities of integrated (urban) water management in a specific area, usually a city.
DOI: 10.5281/zenodo.10719181
title: ALAMEDA Data: Bridging the Early Diagnosis and Treatment Gaps of Brain Diseases (Parkinson's Disease, Multiple Slerosis and Stroke)

description: ALAMEDA is an Horizon 2020 Research and Innovation project that aims to bridge the early diagnosis and treatment gap of brain diseases via smart, connected, proactive and evidence-based technological interventions. Its vision is to research and prototype new generation Artificial Intelligence (AI) systems to support brain disorders patients' healthcare, focusing on Parkinson's Disease (PD), Multiple Sclerosis (MS) and Stroke.

To this end, three (one for each disease) small scale validation pilots were performed in real world settings. Throughout these pilots, various types of data, such as accelerometer, gyroscopic, heart rate, etc., were collected via smart wearable sensors from the patients enrolled. The smart devices that were employed include: a Fitbit smartwatch, a GENEActiv smart bracelet, Novel Loadsol insole sensors and a prototype smart belt with triaxial accelerometers and gyroscopes embedded. Moreover, the patients underwent several clinical assessments and filled in numerous both disease-specific and non-disease-specific questionnaires.

In this record, both raw and processed sensory data are combined with both clinical and patient reported outcomes (PROs) to form different disease-specific datasets. More specifically:



For Parkinson's disease: Three datasets are provided (one for tremor detection, one for dyskinesia detection, and one for Hoehn & Yahr score estimation) alongside the vertical ground reaction force recordings.

For Multiple Sclerosis: Two datasets are provided (one for Expanded Disability Status Scale (EDSS) scores classification and one that accumulates clinical data and individual scores from various MS-related questionnaires) alongside the vertical ground reaction force and the smart belt recordings.

For Stroke: Two datasets are provided (one for rehabilitation exercises' recognition and one for walking classification, both with and without manual annotations) alongside the smart belt recordings.


More information about the datasets provided can be found in the respective READ ME files that are included in the current record.
description: The data available here can be found also ALAMEDA Innovation Hub where additional information can be found: https://aih.alamedaproject.eu/
description: ALAMEDA has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017558.
DOI: 10.5281/zenodo.10719182
title: ALAMEDA Data: Bridging the Early Diagnosis and Treatment Gaps of Brain Diseases (Parkinson's Disease, Multiple Slerosis and Stroke)

description: ALAMEDA is an Horizon 2020 Research and Innovation project that aims to bridge the early diagnosis and treatment gap of brain diseases via smart, connected, proactive and evidence-based technological interventions. Its vision is to research and prototype new generation Artificial Intelligence (AI) systems to support brain disorders patients' healthcare, focusing on Parkinson's Disease (PD), Multiple Sclerosis (MS) and Stroke.

To this end, three (one for each disease) small scale validation pilots were performed in real world settings. Throughout these pilots, various types of data, such as accelerometer, gyroscopic, heart rate, etc., were collected via smart wearable sensors from the patients enrolled. The smart devices that were employed include: a Fitbit smartwatch, a GENEActiv smart bracelet, Novel Loadsol insole sensors and a prototype smart belt with triaxial accelerometers and gyroscopes embedded. Moreover, the patients underwent several clinical assessments and filled in numerous both disease-specific and non-disease-specific questionnaires.

In this record, both raw and processed sensory data are combined with both clinical and patient reported outcomes (PROs) to form different disease-specific datasets. More specifically:



For Parkinson's disease: Three datasets are provided (one for tremor detection, one for dyskinesia detection, and one for Hoehn & Yahr score estimation) alongside the vertical ground reaction force recordings.

For Multiple Sclerosis: Two datasets are provided (one for Expanded Disability Status Scale (EDSS) scores classification and one that accumulates clinical data and individual scores from various MS-related questionnaires) alongside the vertical ground reaction force and the smart belt recordings.

For Stroke: Two datasets are provided (one for rehabilitation exercises' recognition and one for walking classification, both with and without manual annotations) alongside the smart belt recordings.


More information about the datasets provided can be found in the respective READ ME files that are included in the current record.
description: The data available here can be found also ALAMEDA Innovation Hub where additional information can be found: https://aih.alamedaproject.eu/
description: ALAMEDA has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017558.
DOI: 10.6084/m9.figshare.9894875
title: MOESM3 of Genome-wide RNAi screen in Drosophila reveals Enok as a novel trithorax group regulator

description: Additional file 3: Table S1. List of candidates generated from the genome-wide RNAi screen along with their average Z-scores.
DOI: 10.6084/m9.figshare.9894875.v1
title: MOESM3 of Genome-wide RNAi screen in Drosophila reveals Enok as a novel trithorax group regulator

description: Additional file 3: Table S1. List of candidates generated from the genome-wide RNAi screen along with their average Z-scores.
DOI: 10.5066/p9ufkzs8
title: Map data from landslides triggered by Hurricane Maria in select areas of San Lorenzo, Puerto Rico

description: Hurricane Maria brought intense rainfall and caused widespread landsliding throughout Puerto Rico during September 2017. Previous detailed landslide inventories following the hurricane include Bessette-Kirton et al. (2017, 2019). Here we continue that work with an in-depth look at two areas in San Lorenzo, which is a municipality in the east-central part of the main island. To study a characteristic sample of landslides in San Lorenzo, we mapped all visible landslides in two physiographically diverse areas, but all within the San Lorenzo Formation. We used aerial imagery collected between 9-15 October 2017 (Quantum Spatial, Inc., 2017) to map landslide source and runout areas, and 1-m-resolution pre-event and post-event lidar (U.S. Geological Survey, 2018, 2020) as a digital base map for mapping. Difficulties with using these tools arose when aerial imagery was not correctly georeferenced to the lidar, when cloud cover was present in all images of an area, and in interpreting failure modes using only two-dimensional aerial photos. These difficulties with aerial imagery were partially resolved using the lidar. The map data comprises headscarp points, travel distance lines, source area polygons, and affected area polygons that are provided as point, line, and polygon shapefiles that may be viewed using common geographic information systems. Various characteristics of the landslides and their geomorphic settings are included in attribute tables of the mapped features, and this information is described in the "Attributes" document in the accompanying files. Quantitative attributes (e.g., failure travel distance, failure fall height, watershed contributing area, etc.) were determined using tools available with the ESRI ArcGIS Pro v. 3.0.36056 geographic information system.

Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

References:

Bessette-Kirton, E.K., Cerovski-Darrian, C., Schulz, W.H., Coe, J.A., Kean, J.W., Godt, J.W., Thomas, M.A. and Hughes, K.S., 2019, Landslides triggered by Hurricane Maria: Assessment of an extreme event in Puerto Rico: GSA Today, v. 29, no. 6.

Bessette-Kirton, E.K., Coe, J.A., Godt, J.W., Kean, J.W., Rengers, F.K., Schulz, W.H., Baum, R.L., Jones, E.S., and Staley, D.M., 2017, Map data showing concentration of landslides caused by Hurricane Maria in Puerto Rico: U.S. Geological Survey data release, https://doi.org/10.5066/F7JD4VRF.

Quantum Spatial, Inc., 2017 FEMA PR Imagery: https://s3amazonaws.com/fema-cap-imagery/Others/Maria (accessed October 2017).

U.S. Geological Survey, 2018, USGS NED Original Product Resolution PR Puerto Rico 2015: http://nationalmap.gov/elevation.html (accessed October 2018).

U.S. Geological Survey, 2020, USGS NED Original Product Resolution PR Puerto Rico 2015: http://nationalmap.gov/elevation.html (accessed October 2018).
DOI: 10.25678/000bxb
title: Data for: The water flow diagram (Diender, Senegal)

description: This package hosts the background information and the excel file that is necessary to build the Water Flow Diagram of Diender (Senegal). The Water Flow Diagram (WFD) is a visual tool that shows in one picture all the water resources and flows and identifies the challenges and opportunities of integrated (urban) water management in a specific area, usually a city.
DOI: 10.6084/m9.figshare.9894902
title: MOESM1 of WBNPMD: weighted bipartite network projection for microRNA-disease association prediction

description: Additional file 1. All potential miRNA-disease associations were ranked by WBNPMD utilizing data obtained from HMDDv2.0. Prediction results were publicly released for future study.
DOI: 10.6084/m9.figshare.9894902.v1
title: MOESM1 of WBNPMD: weighted bipartite network projection for microRNA-disease association prediction

description: Additional file 1. All potential miRNA-disease associations were ranked by WBNPMD utilizing data obtained from HMDDv2.0. Prediction results were publicly released for future study.
DOI: 10.21227/090m-bb69
title: IEEEXtreme 13: Yin Yang

description: This dataset contains a total of 17758 submissions, with 0% correct solutions and 88% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/yin-yang/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.15137826
title: Statistical Optimization and Bulk Scale Validation of the Effects of Cationic Pre-treatment of Cotton Fabric for Digital Printing with Reactive Dyes

description: Digital printing has the potential of enabling cleaner printing or even dyeing of cotton fabrics. However, whilst effluent-free digital printing and dyeing of synthetic textile fabrics have seen some success, the same remain elusive for cotton fabrics. The study reported in this paper aimed to optimize the process parameters of cationic pre-treatment with a view to creating a cleaner cotton fabric digital printing process that could be sustainably implemented at bulk-scale production. Thus, process variables were screened using the one-factor-at-a-time approach to select optimum experimental regions. A Box–Behnken design was used to investigate the combined effect of selected factors namely amount of thickener (150–200 g/L), urea (75–125 g/L) and alkali (10–20 g/L) on the color strength, dye fixation and ink penetration of cationized and digital-printed cotton fabrics. The significant models showed excellent fitting of the data. The optimum levels of the factors, namely, amount of thickener, urea and alkali were found 200 g/L, 125 g/L and 10 g/L, respectively. The bulk-scale experiments carried out at optimum levels have shown that an average of ca. 52% of reactive ink, 37.5% of urea and 50% of alkali can be saved by digital printing of cationized cotton along with generation of nearly colorless effluent.
DOI: 10.5519/qd.q9m1gv0a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (25 records)
DOI: 10.6084/m9.figshare.13040702
title: An augmented representation method of debris flow scenes to improve public perception

description: Virtual scenes can present rich and clear
disaster information, which can significantly improve the level of public
disaster perception. However, existing methods for constructing
scenes of debris flow disasters have
some deficiencies. First, the construction process does not
consider public knowledge, which makes it difficult for the constructed scenes
to meet the requirements of the public. Second, the scene representation
emphasizes visual effects but lacks augmented visualization, leading to scarcity
of semantic information and inefficient public perception.
In this paper, the optimal selection of scene objects, semantic augmentation through the combination of various
visual variables and
dynamic augmented representation are discussed
in detail. Finally, a debris flow that occurred Shuimo town is
selected for experiment analysis. The experimental results show that most
people are unaware of the risks posed by debris flow disasters. The public is
more concerned about the consequences of a disaster than its spatiotemporal
process, especially when the consequences are related to their own interests. Furthermore, an augmented representation can increase
the amount of semantic information of scene objects, which is essential for enhancing
public understanding of the causes, processes and effects of debris flows and
thereby changing people’s attitudes and enhancing their risk perception.
DOI: 10.3886/e176522v1
title: Data and Code for: Measuring Absolute Income Mobility: Lessons from North America and Europe

description: We use linked parent-child administrative data for five countries in North America and Europe, and detailed survey data for two more, to investigate methodological challenges in the estimation of absolute income mobility. We show that the commonly used “copula and marginals” approximation methods perform well across countries in our sample, and the greatest challenges to their accuracy stem not from assumptions about relative mobility rates over time but from the use of non-representative marginal income distributions. We also provide a multi-country analysis of sensitivity to specification decisions related to age of income measurement, income concept, family structure, and price index.
DOI: 10.21227/6f2w-7t21
title: IEEEXtreme 13: Protecting the Hive

description: This dataset contains a total of 1090 submissions, with 10% correct solutions and 41% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/protecting-the-hive/ See the included PDF document for details about the original challenge.
DOI: 10.21227/4scr-kq68
title: IEEEXtreme 13: Puzzle of Rooks

description: This dataset contains a total of 1536 submissions, with 1% correct solutions and 60% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/puzzle-of-rooks/ See the included PDF document for details about the original challenge.
DOI: 10.25345/c5kw57v74
title: MassIVE MSV000094192 - Testing to see if this uploads data to massive
title: Uploading data test to see if this works to submit data without having a results files for collaborators that want to analyze their own data