cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/g8y4vmtvyb.1
title: Kinematics and activation of hamstring muscles during acceleration phase of sprinting in soccer players: A biomechanical investigation

description: This data set contain muscle length data for the first three steps of the acceleration phase in sprinting of 10 soccer players.
These data were use to characterize hamstring muscle kinematics and activation during the acceleration phase of sprinting in soccer players.
During the acceleration phase, the hamstring muscles undergo eccentric contractions and high activation levels during the late swing and early stance phases. At approximately 90% of the running gait cycle, the hamstring muscles experienced their peak strain. The biceps femoris long head was significantly more stretched than the semimembranosus and semitendinosus (p<0.01). Additionally, the strain on the hamstrings was considerably higher during the initial stance in the acceleration phase than during the maximum speed phase. Based on these results, hamstring injuries are likely to occur during the late-swing and initial stance of the running gait cycle, with the biceps femoris long head being more susceptible to injuries than other hamstring muscles.
DOI: 10.6084/m9.figshare.22792860
title: Additional file 2 of Towards the international interoperability of clinical research networks for rare diseases: recommendations from the IRDiRC Task Force

description: Additional file 2. This table shows the number of clinical research sites and of health care providers institution for each CRN that answered the survey and that was included in this study. The search was performed on the websites of the CRNs in June-July 2022.
DOI: 10.6084/m9.figshare.22792860.v1
title: Additional file 2 of Towards the international interoperability of clinical research networks for rare diseases: recommendations from the IRDiRC Task Force

description: Additional file 2. This table shows the number of clinical research sites and of health care providers institution for each CRN that answered the survey and that was included in this study. The search was performed on the websites of the CRNs in June-July 2022.
DOI: 10.17632/g8y4vmtvyb.2
title: Potential mechanisms of hamstring strain injuries during sprinting acceleration phase in soccer players: A biomechanical investigation

description: Sprinting is the most common activity associated with hamstring strain injuries in soccer. However, the potential mechanisms for hamstring strain injuries during the acceleration phase of sprinting are unclear. Therefore, this study aimed to characterize these elements in soccer players and define the potential mechanism of hamstring strain injury. Ten male soccer players with no lower-limb injuries in the past year were recruited for this study. Each participant was instructed to perform a minimum of three successful 15 m sprints. Hamstring kinematics and activations were estimated by employing musculoskeletal modeling and wireless electromyography to define potential injury mechanisms. During the acceleration phase, the hamstring muscles undergo great strain and high activation levels during the late swing and early stance phases. The hamstring muscles experienced overloading during the foot strike of the running gait cycle. Additionally, the biceps femoris long head was significantly more stretched than the semimembranosus and semitendinosus (p < 0.01, p < 0.05). Based on these results, hamstring injuries are likely to occur during the late-swing and initial stance of the running gait cycle, with the biceps femoris long head being more susceptible to injuries than other hamstring muscles.
DOI: 10.17632/vwvmbrpp9r.1
title: Supplemental Figure: Sub-analysis of the proportion of dermatology patient messages per sentiment category in the pre-mandate vs. post-mandate study periods with messages stratified by test result category

description: Supplemental Figure
DOI: 10.17632/ntszgyrpth.1
title: Translation, Cross-Cultural Adaptation, Reliability and Validity of the Portuguese Version of the ‘Fit to Dance?’ Survey

description: Data from the translation and cultural adaptation  of the questionnaire ‘Fit to Dance?’  into Brazilian Portuguese
DOI: 10.17632/wn5dgnz64x.1
title: Histone H3 Lysine 27 Crotonylation Mediates Gene Transcriptional Repression in Chromatin

description: The raw western blot images and cell fluorescence images for the data presented in main Figures and Supplemental Figures of this study.
DOI: 10.17632/jj8x5m8hv8.1
title: Dataset for research paper "In-silico Modelling of Multi-strike Insertion and Torsional Resistance of Tapered Revision Hip Stems: Insight into Spline Design Philosophy"

description: Despite the clinical success of tapered splined titanium stems, a knowledge gap still exists between spline design and its primary mechanical stability, which is critical to the long-term success of revision hip arthroplasty. Additionally, almost all published pre-clinical studies relied on resource-intensive benchtop and cadaveric testing. Hence, the present study developed a novel computational model to investigate effects of spline geometry and configuration on axial and torsional stability of tapered stem. Dynamic explicit Finite Element Analysis coupled with a state-of-the-art adaptive meshing technique was used to simulate the highly non-linear contacts and large bony material deformations. Hybridising primary straight splines with secondary angled splines results in 41% and 10% increases of peak insertion force and post-seating moment than the predicate device for the same seating position. The primary straight splines cut at multiple circumferential bony locations, enhancing torsional stability; while the alternatively placed secondary angled splines form wedges with the bone, providing reliable seating and additional torsional resistance. To the best knowledge of the author, this is the first in-silico investigation of its kind to simulate multi-strike seating and torsional resistance of revision hip stems, offering an effective and efficient platform for future multi-factorial parametric study and uncertainty quantification.
DOI: 10.17632/v65cjwvsjz.1
title: Flow cytometry data (3) from: Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity, Potts et al.

description: Full associated publication: 'Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity', Potts et al (2023). Raw 18-colour flow cytometry data characterising PBMC derived from cohort of 36 donors, including healthy controls and individuals infected with SARS-CoV-2. Data were utilised to validate upregulation of the markers CEACAM1, CEACAM6, CEACAM8, CD177, CD63 and CD89 in severe COVID-19 and phenotype immune cell populations upregulating these markers. Flow cytometry data were collected over 3 separate experiments on a Cytek Aurora spectral flow cytometer and are provided as unmixed and unprocessed .fcs files from the third experiment. These data can be analysed using the widely used FlowJo analysis software. Each data file is titled with indicators for the donor ID (CVXXXX) and whether the sample was stained with the antibody cocktail or left as an unstained control. Full metadata for each donor can be found in the associated publication.
DOI: 10.17632/nt4ndxk5gf.1
title: Quantification of mass mortality event in freshwater mollusks within the Lower Odra, a large European river, data

description: • In the summer of 2022, an ecological disaster occurred on the River Odra in Europe, caused by Golden Algae toxins, resulting in an unprecedented mass mortality of fish, bivalves, and water snails. 
• The disaster led to an estimated 66 million dead individuals, with the Unionidae population declining by 87%, and the native Anodonta anatina species particularly affected with a 95% decrease. 
• The invasive Sinanodonta woodiana species suffered the least damage, highlighting the potential for an invasive species to take over the ecological niche left by the native mussels. 
• The disaster resulted in a minimum of 144 million dead water snails washed ashore. 
• Further research is needed to determine the adaptive capacity of the river's ecosystem and its potential for recovery.
DOI: 10.17632/4kzy8v78bm.1
title: Risk of Autoimmune Skin and Connective Tissue Disorders After mRNA-based COVID-19 Vaccination

description: The Supplementary Materials for the article titled 'Risk of Autoimmune Skin and Connective Tissue Disorders After mRNA-based COVID-19 Vaccination' published in the Journal of the American Academy of Dermatology
DOI: 10.17632/jv9jvm3r98.1
title: Flow cytometry data (2) from: Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity, Potts et al.

description: Full associated publication: 'Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity', Potts et al (2023). Raw 18-colour flow cytometry data characterising PBMC derived from cohort of 36 donors, including healthy controls and individuals infected with SARS-CoV-2. Data were utilised to validate upregulation of the markers CEACAM1, CEACAM6, CEACAM8, CD177, CD63 and CD89 in severe COVID-19 and phenotype immune cell populations upregulating these markers. Flow cytometry data were collected over 3 seaparate experiments on a Cytek Aurora spectral flow cytometer and are provided as unmixed and unprocessed .fcs files from the second experiment. These data can be analysed using the widely used FlowJo analysis software. Each data file is titled with indicators for the donor ID (CVXXXX) and whether the sample was stained with the antibody cocktail or left as an unstained control. Full metadata for each donor can be found in the associated publication.
DOI: 10.17632/yj5rm3k3py.1
title: Flow cytometry data (1) from: Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity, Potts et al.

description: Full associated publication: 'Proteomic analysis of circulating immune cells identifies cellular phenotypes associated with COVID-19 severity', Potts et al (2023). Raw 18-colour flow cytometry data characterising PBMC derived from cohort of 36 donors, including healthy controls and individuals infected with SARS-CoV-2. Data were utilised to validate upregulation of the markers CEACAM1, CEACAM6, CEACAM8, CD177, CD63 and CD89 in severe COVID-19 and phenotype immune cell populations upregulating these markers. Flow cytometry data were collected over 3 seaparate experiments on a Cytek Aurora spectral flow cytometer and are provided as unmixed and unprocessed .fcs files from the first experiment. These data can be analysed using the widely used FlowJo analysis software. Each data file is titled with indicators for the donor ID (CVXXXX) and whether the sample was stained with the antibody cocktail or left as an unstained control. Full metadata for each donor can be found in the associated publication.
DOI: 10.17632/mg7f7gdwvp.1
title: Consejo Consultivo de los Usuarios - CNRT

description: Actas de reunión del Consejo Consultivo de los Usuarios de la Comisión Nacional de Regulación del Transporte, año 2022
DOI: 10.17632/sjxbcn97n6.1
title: Min Max Merge Sort

description: Min max merge source code
DOI: 10.17632/rr4b7ffztf.2
title: Effect of kitchen waste hydrolysate (KWH) on N2O emission

description: For this dataset, SPSS software was used to analyze and calculate the original data. The data included the differences in the effects of KWH, glucose and sodium acetate on N2O production, and the corresponding differences in nitrogen cycling genes.
DOI: 10.17632/rr4b7ffztf.3
title: Effect of kitchen waste hydrolysate (KWH) on N2O emission

description: For this dataset, SPSS software was used to analyze and calculate the original data. The data included the differences in the effects of KWH, glucose and sodium acetate on N2O production, and the corresponding differences in nitrogen cycling genes.
DOI: 10.17632/2my39kwfg5.1
title: Inequity aversion in Argentine children and different SES populations

description: This database contains the data from the article "The Development of Inquity Aversion in Argentine Children and Didderent SES populations"
DOI: 10.17632/6spxvjrw23.1
title: Fine root biomass and morphology

description: First, due to the higher N availability background of the subtropical compared to warm-temperate site, we assume that N addition would decrease the fine root biomass in the subtropical site but increase the fine root biomass in the warm-temperate site, and the extent of discrepancy may be distinct at the two locations. Second, fine roots are highly sensitive to N availability and we assume that both the pattern and rate of N addition have a significant impact on the fine root biomass both in the subtropical and warm-temperate sites. Finally, according to the theory of optimal resource allocation, increasing the availability of N will change the survival strategy of fine roots. We hypothesize that the addition of N will increase the functional diversity of fine roots, and functional diversity can explain the variation of fine root biomass, especially in the warm-temperate site with low N availability.
The remaining soil was gently washed away with clean water, and the fine roots of each dominant species were rinsed again with deionized water. The fine roots were placed in an acrylic tray filled with deionized water to ensure that they were evenly distributed with no overlaps. The fine roots in the tray were scanned using an Epson scanner (Epson America, Inc. California, USA), and the morphological data of the fine roots were obtained using WinRHIZO Pro (2012b, Canada Inc) software, which included the length, volume, diameter, number of root tips, and number of root forks. The scanned fine roots were dried for 48 h at 65 ℃ to obtain the fine root biomass of the dominant species.
DOI: 10.17632/g3gh9r9px2.1
title: Mergers and acquisitions deals as a form of business development: evidence from pharmaceutical companies

description: Public data on completed M&A and financial performance of companies in the global pharmaceutical industry for the period from 2010 to 2020
DOI: 10.17632/nhgzt94t9g.1
title: DATA Impulsive buying

description: Research Data
DOI: 10.17632/rb2zwwg3jf.1
title: Do Humour Styles Impact Psychological Well-Being and Emotional Competence?

description: Humour is an emotional response that involves laughter and a perception of playful incongruity in a social context. Each humour style reflects the different ways in which individuals use humour in their daily lives habitually, spontaneously, and perhaps unconsciously. The present study aimed at studying the role of adaptive humour and its benefits on psychological well - being along with enhancing the emotional competencies of young adults while viewing humour as an important emotional regulation mechanism. The Humour Styles Questionnaire by Martin, Puhlik- Doris, Larsen, Gray, and Weir (2003), Ryff’s psychological well-being scale (1989) and Emotional Competence Scale by Sharma and Bhardwaj (1998) were used to collect data from 127 young adults aged 18-25 using convenience sampling and analysed using statistical measures such as Spearman's rank correlation and generalized linear models. The results showed that affiliative and self-enhancing humour styles have a significant positive relationship with overall psychological well-being, while aggressive and self-defeating humour styles have a significant negative relationship with it. Affiliative, self-enhancing, and self-defeating humour styles also predict psychological well-being. Emotional competence has a significant positive relationship with self-enhancing humour style and a significant negative relationship with self-defeating humour style. Both humour styles are significant predictors of emotional competence. The study highlights the importance of using humour adaptively to increase emotional competence and psychological well-being, which can aid in creating stronger interpersonal relationships, social skills, and vocational soft skills. It also encourages individuals to use humour adaptively as a conscious strategy to cope with stressful or difficult situations.
DOI: 10.17632/gw7c3yjhyp.1
title: High Resolution Ensemble Forecasting of Summer Drought in the Western United States with Statistical Models 

description: These data support the findings presented in Abolafia-Rosenzweig et al. (in review), "High Resolution Ensemble Forecasting of Summer Drought in the Western United States with Statistical Models"

Abstract
Drought monitoring and forecasting systems are used in the United States (US) to inform drought management decisions. Drought forecasting efforts have often been conducted and evaluated at coarse spatial resolutions (i.e., >10-km), which miss key local drought information at higher resolutions. Addressing the importance of forecasting drought at high resolutions, this study develops statistical model ensembles to evaluate 1- to 3-month lead time predictability of meteorological and agricultural summer drought across the western US at a 4-km resolution. Our high-resolution drought predictions have statistically significant skill (p ≤ 0.05) across 70-100% of the western US, varying by evaluation metric and lead time. 1- to 3-month lead time drought forecasts accurately represent monitored summer drought spatial patterns during major drought events and the interannual variability of drought area from 1982-2020 (r = 0.84-0.93) with 71% of western US summer drought area interannual variability being explained by cold-season (November-February) climate conditions alone. Pre-summer drought conditions (represented by drought indices) are the most important predictor for summer drought. Thus, the statistical models developed in this study heavily rely on the autocorrelation of chosen agricultural and meteorological drought indices which estimate land surface moisture memory. Indeed, prediction skill strongly correlates with persistence of drought conditions (r ≥ 0.73). This study is intended to support future development of operational drought early warning systems that inform drought management.
DOI: 10.17632/gw7c3yjhyp.2
title: High Resolution Ensemble Forecasting of Summer Drought in the Western United States with Statistical Models 

description: These data support the findings presented in Abolafia-Rosenzweig et al. (in review), "High Resolution Ensemble Forecasting of Summer Drought in the Western United States with Statistical Models"

Abstract
Drought monitoring and forecasting systems are used in the United States (US) to inform drought management decisions. Drought forecasting efforts have often been conducted and evaluated at coarse spatial resolutions (i.e., >10-km), which miss key local drought information at higher resolutions. Addressing the importance of forecasting drought at high resolutions, this study develops statistical model ensembles to evaluate 1- to 3-month lead time predictability of meteorological and agricultural summer drought across the western US at a 4-km resolution. Our high-resolution drought predictions have statistically significant skill (p ≤ 0.05) across 70-100% of the western US, varying by evaluation metric and lead time. 1- to 3-month lead time drought forecasts accurately represent monitored summer drought spatial patterns during major drought events and the interannual variability of drought area from 1982-2020 (r = 0.84-0.93) with 71% of western US summer drought area interannual variability being explained by cold-season (November-February) climate conditions alone. Pre-summer drought conditions (represented by drought indices) are the most important predictor for summer drought. Thus, the statistical models developed in this study heavily rely on the autocorrelation of chosen agricultural and meteorological drought indices which estimate land surface moisture memory. Indeed, prediction skill strongly correlates with persistence of drought conditions (r ≥ 0.73). This study is intended to support future development of operational drought early warning systems that inform drought management.
DOI: 10.17632/gw7c3yjhyp.3
title: High Resolution Forecasting of Summer Drought in the Western United States

description: These data support the findings presented in the the published manuscript Abolafia-Rosenzweig et al. (2023), "High Resolution Forecasting of Summer Drought in the Western United States" (Water Resources Research, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022WR033734)

Abstract
Drought monitoring and forecasting systems are used in the United States (U.S.) to inform drought management decisions. Drought forecasting efforts have often been conducted and evaluated at coarse spatial resolutions (i.e., >10-km), which miss key local drought information at higher resolutions. Addressing the importance of forecasting drought at high resolutions, this study develops statistical models to evaluate 1- to 3-month lead time predictability of meteorological and agricultural summer drought across the western U.S. at a 4-km resolution. Our high-resolution drought predictions have statistically significant skill (p ≤ 0.05) across 70%–100% of the western U.S., varying by evaluation metric and lead time. 1- to 3-month lead time drought forecasts accurately represent monitored summer drought spatial patterns during major drought events, the interannual variability of drought area from 1982 to 2020 (r = 0.84–0.93), and drought trends (r = 0.94–0.97). 71% of western U.S summer drought area interannual variability can be explained by cold-season (November–February) climate conditions alone allowing skillful 3-month lead time predictions. Pre-summer drought conditions (represented by drought indices) are the most important predictors for summer drought. Thus, the statistical models developed in this study heavily rely on the autocorrelation of chosen agricultural and meteorological drought indices which estimate land surface moisture memory. Indeed, prediction skill strongly correlates with persistence of drought conditions (r ≥ 0.73). This study is intended to support future development of operational drought early warning systems that inform drought management.
DOI: 10.3886/e112921v1-138540
title: Replication data for: The Effect of the TseTse Fly on African Development

description: The TseTse fly is unique to Africa and transmits a parasite harmful to humans and lethal to livestock. This paper tests the hypothesis that the TseTse reduced the ability of Africans to generate an agricultural surplus historically. Ethnic groups inhabiting TseTse-suitable areas were less likely to use domesticated animals and the plow, less likely to be politically centralized, and had a lower population density. These correlations are not found in the tropics outside of Africa, where the fly does not exist. The evidence suggests current economic performance is affected by the TseTse through the channel of precolonial political centralization. (JEL I12, N57, O13, O17, Q12, Q16, Q18)
DOI: 10.6084/m9.figshare.22787351
title: 8h group of fungal keratitis

description: 8h group of fungal keratitis
DOI: 10.6084/m9.figshare.22787351.v1
title: 8h group of fungal keratitis

description: 8h group of fungal keratitis
DOI: 10.5281/zenodo.7918527
title: BNCI_less_runs

description: BNCI2014001 first four files with less runs
DOI: 10.5281/zenodo.7918526
title: BNCI_less_runs

description: BNCI2014001 first four files with less runs