cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4556953
title: Dataset related to article "Impact of RAS mutations on the immune infiltrate of colorectal liver metastases: A preliminary study"

description: This record contains raw data related to article “Impact of RAS mutations on the immune infiltrate of colorectal liver metastases: A preliminary study" Kirsten rat sarcoma viral oncogene homolog KRAS proto-oncogene is the most common altered gene in colorectal cancer (CRC). Determining its mutational status, which is associated with worse prognosis and resistance to anti-epidermal growth factor receptor (EGFR) inhibitors, is essential for managing patients with CRC and colon liver metastases (CLM). Emerging studies highlighted the relationship of KRAS-mutated cancers and tumor microenvironment components, mainly with T cells. The aim of this study was to analyze the relationship of CLM immune cell infiltrate with KRAS mutational status. We performed a retrospective study on paraffin-embedded CLM tissue sections from patients surgically resected at the Department of Hepatobiliary and General Surgery of Humanitas Clinical and Cancer Center. We studied the distribution of lymphocytes (CD3+ cells), macrophages (CD163+), and neutrophils (CD66b+) in CLM tumoral and peritumoral area. Percentage of positive cells was correlated with tumor macroscopic characteristic, clinical aspects, and KRAS mutation. We observed a significant increase in CD66b+ cells in the peritumoral area in patients KRAS-mutated compared to KRAS wild-type patients. Percentages of lymphocytes and macrophages did not show significant differences. Further, neutrophils were found to be significantly increased also in the bloodstream of KRAS-mutated patients, indicating increased mobilization of neutrophils and recruitment in the CLM site. In conclusion, this study reveals a new intriguing aspect of the peritumoral microenvironment, which could pave the way for new prognostic and predictive markers for patient stratification
DOI: 10.5281/zenodo.4556952
title: Dataset related to article "Impact of RAS mutations on the immune infiltrate of colorectal liver metastases: A preliminary study"

description: This record contains raw data related to article “Impact of RAS mutations on the immune infiltrate of colorectal liver metastases: A preliminary study" Kirsten rat sarcoma viral oncogene homolog KRAS proto-oncogene is the most common altered gene in colorectal cancer (CRC). Determining its mutational status, which is associated with worse prognosis and resistance to anti-epidermal growth factor receptor (EGFR) inhibitors, is essential for managing patients with CRC and colon liver metastases (CLM). Emerging studies highlighted the relationship of KRAS-mutated cancers and tumor microenvironment components, mainly with T cells. The aim of this study was to analyze the relationship of CLM immune cell infiltrate with KRAS mutational status. We performed a retrospective study on paraffin-embedded CLM tissue sections from patients surgically resected at the Department of Hepatobiliary and General Surgery of Humanitas Clinical and Cancer Center. We studied the distribution of lymphocytes (CD3+ cells), macrophages (CD163+), and neutrophils (CD66b+) in CLM tumoral and peritumoral area. Percentage of positive cells was correlated with tumor macroscopic characteristic, clinical aspects, and KRAS mutation. We observed a significant increase in CD66b+ cells in the peritumoral area in patients KRAS-mutated compared to KRAS wild-type patients. Percentages of lymphocytes and macrophages did not show significant differences. Further, neutrophils were found to be significantly increased also in the bloodstream of KRAS-mutated patients, indicating increased mobilization of neutrophils and recruitment in the CLM site. In conclusion, this study reveals a new intriguing aspect of the peritumoral microenvironment, which could pave the way for new prognostic and predictive markers for patient stratification
DOI: 10.20351/29gd20050628
title: CASABLANCA Cruise, RV García del Cid

description: CASABLANCA Cruise (29GD20050628) carried out on the Research Vessel García del Cid in 2005
DOI: 10.6084/m9.figshare.14095787.v1
title: LM22_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095783
title: PBMC_refStd.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095787
title: LM22_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095789
title: PBMC_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095789.v1
title: PBMC_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095783.v1
title: PBMC_refStd.txt

description: ref tables
DOI: 10.5281/zenodo.4556924
title: New datasets obtained from experimental installations with centralized control

description: These datasets are obtained by the acquisition of voltage (0-10V) between the local controller and the electro-pneumatic pressure regulator which are part of the electro-pneumatic positioning system. The system was created and it is located in the Laboratory for Manufacturing Automation at the Faculty of Mechanical Engineering, University of Belgrade. The system is based on a smart sensor (electromagnetic linear encoder with local controller) and a smart actuator (rodless pneumatic cylinder with electro-pneumatic pressure regulator and local controller), and the main goal is to achieve the desired position of the piston on the pneumatic cylinder. The dataset includes 12 signals that represent a combination of different piston trajectories and sampling rates. Each signal is recorded during the execution of 100 cycles of piston movement along a defined trajectory, where the shortest signal contains 3,500, and the longest 2,000,000 samples. Table 1 shows the list of collected signals, whereas a detailed description of the system can be found in [1]. This dataset was developed with the support of the Science Fund of the Republic of Serbia, Grant No. 6523109, AI - MISSION4.0, 2020-2022.
description: {"references": ["[1] - D. M. Nedeljkovic, Z. B. Jakovljevic, Z. Dj. Miljkovic, and M. Pajic, \"Detection of cyber-attacks in electro-pneumatic positioning system with distributed control,\" in 27th Telecommunications Forum(TELFOR 2019), Nov. 2019, art. no. 8971062"]}
DOI: 10.6084/m9.figshare.14095793.v1
title: LM9_refStd.txt

description: ref table
DOI: 10.6084/m9.figshare.14095793
title: LM9_refStd.txt

description: ref table
DOI: 10.6084/m9.figshare.14095797
title: Supplementary Material for: The Effects of Modifying Dysfunctional Appraisals in Posttraumatic Stress Disorder Using a Form of Cognitive Bias Modification: Results of a Randomized Controlled Trial in an Inpatient Setting

description: <b><i>Introduction:</i></b> Dysfunctional appraisals about traumatic events and their sequelae are a key mechanism in posttraumatic stress disorder (PTSD). Experimental studies have shown that a computerized cognitive training, cognitive bias modification for appraisals (CBM-APP), can modify dysfunctional appraisals and reduce analogue trauma symptoms amongst healthy and subclinical volunteers. <b><i>Objective:</i></b> We aimed to test whether CBM-APP could reduce dysfunctional appraisals related to trauma reactions in PTSD patients, and whether this would lead to improvements in PTSD symptoms. <b><i>Methods:</i></b> We compared CBM-APP to sham training in a parallel-arm proof-of-principle double-blind randomized controlled trial amongst 80 PTSD patients admitted to an inpatient clinic. Both arms comprised a training schedule of 8 sessions over a 2-week period and were completed as an adjunct to the standard treatment programme. <b><i>Results:</i></b> In intention-to-treat analyses, participants receiving CBM-APP showed a greater reduction in dysfunctional appraisals on a scenario task from pre- to posttraining (primary outcome) assessments, compared to those receiving sham training (<i>d</i> = 1.30, 95% CI 0.82–1.80), with between-group differences also found on the Posttraumatic Cognitions Inventory (PTCI; <i>d</i> = 0.85, 95% CI 0.39–1.32) and the PTSD Checklist for DSM-5 (PCL-5; <i>d</i> = 0.68, 95% CI 0.23–1.14), but not for long-term cortisol concentrations (<i>d</i> = 0.25, 95% CI –0.28 to 0.78). Reductions in dysfunctional appraisals assessed via the scenario task correlated with reductions on the PTCI, PCL-5, and hair cortisol concentrations from pre- to posttraining time points. <b><i>Conclusions:</i></b> Results support dysfunctional appraisals as a modifiable cognitive mechanism, and that their proximal modification transfers to downstream PTSD symptoms. These findings could open new avenues for improving present therapeutic approaches.
DOI: 10.6084/m9.figshare.14095797.v1
title: Supplementary Material for: The Effects of Modifying Dysfunctional Appraisals in Posttraumatic Stress Disorder Using a Form of Cognitive Bias Modification: Results of a Randomized Controlled Trial in an Inpatient Setting

description: <b><i>Introduction:</i></b> Dysfunctional appraisals about traumatic events and their sequelae are a key mechanism in posttraumatic stress disorder (PTSD). Experimental studies have shown that a computerized cognitive training, cognitive bias modification for appraisals (CBM-APP), can modify dysfunctional appraisals and reduce analogue trauma symptoms amongst healthy and subclinical volunteers. <b><i>Objective:</i></b> We aimed to test whether CBM-APP could reduce dysfunctional appraisals related to trauma reactions in PTSD patients, and whether this would lead to improvements in PTSD symptoms. <b><i>Methods:</i></b> We compared CBM-APP to sham training in a parallel-arm proof-of-principle double-blind randomized controlled trial amongst 80 PTSD patients admitted to an inpatient clinic. Both arms comprised a training schedule of 8 sessions over a 2-week period and were completed as an adjunct to the standard treatment programme. <b><i>Results:</i></b> In intention-to-treat analyses, participants receiving CBM-APP showed a greater reduction in dysfunctional appraisals on a scenario task from pre- to posttraining (primary outcome) assessments, compared to those receiving sham training (<i>d</i> = 1.30, 95% CI 0.82–1.80), with between-group differences also found on the Posttraumatic Cognitions Inventory (PTCI; <i>d</i> = 0.85, 95% CI 0.39–1.32) and the PTSD Checklist for DSM-5 (PCL-5; <i>d</i> = 0.68, 95% CI 0.23–1.14), but not for long-term cortisol concentrations (<i>d</i> = 0.25, 95% CI –0.28 to 0.78). Reductions in dysfunctional appraisals assessed via the scenario task correlated with reductions on the PTCI, PCL-5, and hair cortisol concentrations from pre- to posttraining time points. <b><i>Conclusions:</i></b> Results support dysfunctional appraisals as a modifiable cognitive mechanism, and that their proximal modification transfers to downstream PTSD symptoms. These findings could open new avenues for improving present therapeutic approaches.
DOI: 10.6084/m9.figshare.14095785
title: LM9_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095785.v2
title: LM9_refMean.txt

description: ref tables
DOI: 10.6084/m9.figshare.14095785.v1
title: LM9_refStd.txt

description: ref tables
DOI: 10.5281/zenodo.3974502
title: Drum line data

description: PLC data including: datetime, Temperature, Pressure and other measurements
DOI: 10.5281/zenodo.3974501
title: Drum line data

description: PLC data including: datetime, Temperature, Pressure and other measurements
DOI: 10.5281/zenodo.3975525
title: COMAU RobotBox Measurements

description: The dataset contains information about the current consumed by the robot-box measured in Ampere for each cycle along with their belt tensioning levels. Each line reported in the dataset is a json that follows the MIMOSA schema defined for the SERENA project and it represents a measurement of a cycle. The dataset contains in total 31648 cycles. Each cycle is characterised by a class. The possible classes are 0, 1 or 2 and they represents different level of belt tensioning. Class 0 is low tensioning, class 1 normal tensioning, and class 2 high tensioning.
DOI: 10.5281/zenodo.3975524
title: COMAU RobotBox Measurements

description: The dataset contains information about the current consumed by the robot-box measured in Ampere for each cycle along with their belt tensioning levels. Each line reported in the dataset is a json that follows the MIMOSA schema defined for the SERENA project and it represents a measurement of a cycle. The dataset contains in total 31648 cycles. Each cycle is characterised by a class. The possible classes are 0, 1 or 2 and they represents different level of belt tensioning. Class 0 is low tensioning, class 1 normal tensioning, and class 2 high tensioning.
DOI: 10.15131/shef.data.6859820
title: Few-photon detection using InAs avalanche photodiodes

description: Abstract: An avalanche photodiode with a ratio of hole to electron ionization coefficients, <i>k</i> = 0, is known to produce negligible excess noise irrespective of the avalanche gain. The low noise amplification process can be utilized to detect very low light levels. In this work, we demonstrated InAs avalanche photodiodes with high external quantum efficiency of 60% (achieved without antireflection coating) at the peak wavelength of 3.48 µm. At 77 K, our InAs avalanche photodiodes show low dark current (limited by 300 K blackbody background radiation), high avalanche gain and negligible excess noise since InAs exhibits <i>k</i> = 0. They were therefore able to detect very low levels of light, at 15-31 photons per 50 µs laser pulse at 1550 nm wavelength. These correspond to the lowest detected average power by InAs avalanche photodiodes, ranging from 19 to 40 fW. The measurement system’s noise floor was dominated by the pre-amplifier. Our results suggest that, with a lower system noise, InAs avalanche photodiodes have high potential for optical detection of single or few-photon signal levels at wavelengths of 1550 nm or longer.<br>Measurements were carried out on the InAs APDs to obtain the dark current versus voltage characteristics (forward and reverse bias), responsivity versus wavelength at a fixed reverse bias, avalanche gain versus reverse bias, and weak light detection. For all measurements, the device-under-test (DUT) was placed in a low temperature probe station (model ST-500 of Janis Research).<br><br>Spectral response measurements are carried out using a monochromator-tungsten lamp combination which provided monochromatic light from 600 to 4000 nm on our InAs APDs and a reference diode (Judson J12-18C-250U).<br>For the avalanche gain measurements, the light source was a 1550 nm wavelength laser modulated at 10 kHz with 50% duty cycle ratio. The optical path included two fixed optical attenuators (26.5 dB each) and a calibrated variable optical attenuator (0-80 dB) to obtain the required optical attenuation. The DUT’s photocurrent was amplified and converted into a voltage signal by a low-noise current preamplifier (model SR570 of Stanford Research Systems), before being measured by a lock-in amplifier. The avalanche gain was defined as the ratio of the photocurrent measured using a lock-in amplifier to the unity gain photocurrent at <i>V<sub>r</sub> = -</i>1.0 V. <br> The measurements for weak light detection used an identical setup as the avalanche gain measurements, except that the lock-in amplifier was replaced with a spectrum analyzer (model SR760 of Stanford Research Systems). <br>
DOI: 10.15131/shef.data.6859820.v1
title: Few-photon detection using InAs avalanche photodiodes

description: Abstract: An avalanche photodiode with a ratio of hole to electron ionization coefficients, <i>k</i> = 0, is known to produce negligible excess noise irrespective of the avalanche gain. The low noise amplification process can be utilized to detect very low light levels. In this work, we demonstrated InAs avalanche photodiodes with high external quantum efficiency of 60% (achieved without antireflection coating) at the peak wavelength of 3.48 µm. At 77 K, our InAs avalanche photodiodes show low dark current (limited by 300 K blackbody background radiation), high avalanche gain and negligible excess noise since InAs exhibits <i>k</i> = 0. They were therefore able to detect very low levels of light, at 15-31 photons per 50 µs laser pulse at 1550 nm wavelength. These correspond to the lowest detected average power by InAs avalanche photodiodes, ranging from 19 to 40 fW. The measurement system’s noise floor was dominated by the pre-amplifier. Our results suggest that, with a lower system noise, InAs avalanche photodiodes have high potential for optical detection of single or few-photon signal levels at wavelengths of 1550 nm or longer.<br>Measurements were carried out on the InAs APDs to obtain the dark current versus voltage characteristics (forward and reverse bias), responsivity versus wavelength at a fixed reverse bias, avalanche gain versus reverse bias, and weak light detection. For all measurements, the device-under-test (DUT) was placed in a low temperature probe station (model ST-500 of Janis Research).<br><br>Spectral response measurements are carried out using a monochromator-tungsten lamp combination which provided monochromatic light from 600 to 4000 nm on our InAs APDs and a reference diode (Judson J12-18C-250U).<br>For the avalanche gain measurements, the light source was a 1550 nm wavelength laser modulated at 10 kHz with 50% duty cycle ratio. The optical path included two fixed optical attenuators (26.5 dB each) and a calibrated variable optical attenuator (0-80 dB) to obtain the required optical attenuation. The DUT’s photocurrent was amplified and converted into a voltage signal by a low-noise current preamplifier (model SR570 of Stanford Research Systems), before being measured by a lock-in amplifier. The avalanche gain was defined as the ratio of the photocurrent measured using a lock-in amplifier to the unity gain photocurrent at <i>V<sub>r</sub> = -</i>1.0 V. <br> The measurements for weak light detection used an identical setup as the avalanche gain measurements, except that the lock-in amplifier was replaced with a spectrum analyzer (model SR760 of Stanford Research Systems). <br>
DOI: 10.6084/m9.figshare.14095853.v1
title: Stenopterygiids from the lower Toarcian of Beaujolais and a chemostratigraphic context for ichthyosaur preservation during the Toarcian Oceanic Anoxic Event

description: Geochemical dataset used in the present study including bulk sediment inorganic and organic carbon isotope composition (δ<sup>13</sup>C) and radiogenic strontium isotope (<sup>87</sup>Sr/<sup>86</sup>Sr) values of belemnites
DOI: 10.6084/m9.figshare.14095853
title: Stenopterygiids from the lower Toarcian of Beaujolais and a chemostratigraphic context for ichthyosaur preservation during the Toarcian Oceanic Anoxic Event

description: Geochemical dataset used in the present study including bulk sediment inorganic and organic carbon isotope composition (δ<sup>13</sup>C) and radiogenic strontium isotope (<sup>87</sup>Sr/<sup>86</sup>Sr) values of belemnites
DOI: 10.5255/ukda-sn-854625
title: Performing Identities: Post-Brexit Northern Ireland and the Reshaping of 21st-Century Governance, 2019-2020

description: Transcripts from interviews completed in the course of this ESRC-funded project. Participant Action Research (PAR) is a methodology frequently employed to assess the extent to which law is a culturally constructed phenomenon, an approach rooted in critical and feminist evaluations of rules governing personal relations (Sachs, 1992). This is an innovative methodology in the context of researching the interaction between novel constitutional arrangements and identity. Understandings of how identity can reshape legal constructs of citizenship are best forged when these legal arrangements are fluid, enhancing the value of participant action research in the context of post-Brexit NI (Kymlicka, 2003). Our participants, drawn from across a range of the new categories of rights holder created by the Withdrawal Agreement, engaged with the project team to reflect upon how the administrative actions which they are obliged to undertake are shaping their identities. The combination of in-depth interviews and workshops allowed us to explore identity as both individual and relational.
DOI: 10.20351/29gd20060710
title: DEEPCORAL-I_CORAL-4 Cruise, RV García del Cid

description: DEEPCORAL-I_CORAL-4 Cruise (29GD20060710) carried out on the Research Vessel García del Cid in 2006
DOI: 10.20351/29gd20070426
title: BIOMARE-1 Cruise, RV García del Cid

description: BIOMARE-1 Cruise (29GD20070426) carried out on the Research Vessel García del Cid in 2007
DOI: 10.6084/m9.figshare.14095877
title: Survey questions for Identifying self-efficacy triggers in consumers’ technologies devices for health

description: Survey question for project <b>Identifying self-efficacy triggers in consumers’ technologies devices for health. Based on survey by Jacobs et. al. (2019):</b><b><br></b><b></b>Jacobs, J. V., Hettinger, L. J., Huang, Y.-H., Jeffries, S., Lesch, M. F., Simmons, L. A., . . . Willetts, J. L. (2019). Employee acceptance of wearable technology in the workplace. <i>Applied Ergonomics, 78</i>, 148-156.<b></b>
DOI: 10.20351/29gd20060528
title: THRESHOLDS-I Cruise, RV García del Cid 

description: THRESHOLDS-I Cruise (29GD20060528) carried out on the Research Vessel García del Cid in 2006
DOI: 10.20351/29gd20061204
title: RODA-4 Cruise, RV García del Cid

description: RODA-4 Cruise (29GD20061204) carried out on the Research Vessel García del Cid in 2006
DOI: 10.5281/zenodo.3981296
title: Vibration data

description: Data from vibration sensor acquired for maintenance prognosis
DOI: 10.5281/zenodo.3981295
title: Vibration data

description: Data from vibration sensor acquired for maintenance prognosis
DOI: 10.17632/3rtdhcrwjg.1
title: An organelle-tethering mechanism couples flagellation to cell division in bacteria

description: Original immunoblot and motility assay images corresponding to the manuscript.
DOI: 10.5281/zenodo.4556965
title: VDLWEW production cycles data used in SERENA analytics

description: The dataset contains the production cycles collected between 22/01/2020 and 19/02/2020 (those used in the analytic task). Each row represents a production cycle and it has the following schema: ID_product | TS | min | max | avg | var | std | skew | kurt | cumsum where: - ID_product identifies the product involved in the production cycle - TS is the timestamp of the production cycle - Min, max, avg, var, std, skew and kurt are statistical features extracted from the Measuring Machine - Cumsum is cumulative RMSE obtained between Measuring Machine and corresponding Rolling Mill (matched by serialID).
DOI: 10.5281/zenodo.4556964
title: VDLWEW production cycles data used in SERENA analytics

description: The dataset contains the production cycles collected between 22/01/2020 and 19/02/2020 (those used in the analytic task). Each row represents a production cycle and it has the following schema: ID_product | TS | min | max | avg | var | std | skew | kurt | cumsum where: - ID_product identifies the product involved in the production cycle - TS is the timestamp of the production cycle - Min, max, avg, var, std, skew and kurt are statistical features extracted from the Measuring Machine - Cumsum is cumulative RMSE obtained between Measuring Machine and corresponding Rolling Mill (matched by serialID).
DOI: 10.6084/m9.figshare.14095927
title: driving style

description: this is the original data of bus driver and taxi drivers and driving style
DOI: 10.5281/zenodo.4556989
title: The quality of statistical reporting and data presentation in predatory dental journals

description: Data set of 150 articles published in 2020 three dental journal groups: predatory journals, OA journals and visible journals. All 150 papers were manually reviewed for their data analysis reporting. The checklist developed by Nieminen was used to evaluate the quality of statistical reporting and data presentation (SRDP). The file includes bibliographic details of the articles, and item and the total scores of SRDP evaluation. In addition, the Consort ratings among clinical trials published in the OA journals are included.