cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4063990
title: Data set from Barbic F, Minonzio M, Cairo B, Shiffer D, Dipasquale A, Cerina L, Vatteroni A, Urechie V, Verzeletti P, Badilini F, Vaglio M, Iatrino R, Porta A, Santambrogio M, Gatti R, Furlan R. Effects of different classroom temperatures on cardiac autonomic control and cognitive performances in undergraduate students. Physiol Meas. 2019 Jun 4;40(5):054005. doi: 10.1088/1361-6579/ab1816. PMID: 30970334.

description: Data set from Barbic F, Minonzio M, Cairo B, Shiffer D, Dipasquale A, Cerina L, Vatteroni A, Urechie V, Verzeletti P, Badilini F, Vaglio M, Iatrino R, Porta A, Santambrogio M, Gatti R, Furlan R. Effects of different classroom temperatures on cardiac autonomic control and cognitive performances in undergraduate students. Physiol Meas. 2019 Jun 4;40(5):054005. doi: 10.1088/1361-6579/ab1816. PMID: 30970334. This is the abstract: <strong>Objective: </strong> Indoor microclimate may affect students' wellbeing, cardiac autonomic control and cognitive performance with potential impact on learning capabilities. To assess the effects of classroom temperature variations on the autonomic profile and students' cognitive capabilities. <strong>Approach: </strong> Twenty students attending Humanitas University School, (14M, age 21 ± 3 years) underwent a single-lead ECG continuous recording by a portable device during a 2 h lecture when classroom temperature was set 'neutral' (20 °C-22 °C, Day 1) and when classroom temperature was set to 24 °C-26 °C (Day 2). ECGs were sent by telemetry to a server for off-line analysis. Spectral analysis of RR variability provided indices of cardiac sympathetic (LF<sub>nu</sub>), vagal (HF, HF<sub>nu</sub>) and cardiac sympatho-vagal modulation (LF/HF). Symbolic analysis of RR variability provided the percentage of sequences of three heart periods with no significant change in RR interval (0V%) and with two significant variations (2V%) reflecting cardiac sympathetic and vagal modulation, respectively. Students' cognitive performance (memory, verbal comprehension and reasoning) was assessed at the end of each lecture using the Cambridge Brain Sciences cognitive evaluation tool. <strong>Main results: </strong> Classroom temperature and CO<sub>2</sub> were assessed every 5 min. Classroom temperatures were 22.4 °C ± 0.1 °C (Day 1) and 26.2 °C ± 0.1 °C (Day 2). Student's thermal comfort was lower during Day 2 compared to Day 1. HR, LF/HF and 0V% were greater during Day 2 (79.5 ± 12.1 bpm, 6.9 ± 7.1 and 32.8% ± 10.3%) than during Day 1 (72.6 ± 10.8 bpm, 3.4 ± 3.7, 21.4% ± 9.2%). Conversely, 2V% was lower during Day 2 (23.1% ± 8.1%) than during Day 1 (32.3% ± 11.4%). Short-term memory, verbal ability and the overall cognitive C-score scores were lower during Day 2 (10.3 ± 0.3; 8.1 ± 1.2 and 10.9 ± 2.0) compared to Day 1 (11.7 ± 2.1; 10.7 ± 1.7 and 12.6 ± 1.8). <strong>Significance: </strong> During Day 2, a shift of the cardiac autonomic control towards a sympathetic predominance was observed compared to Day 1, in the presence of greater thermal discomfort. Furthermore, during Day 2 reduced cognitive performances were found.
DOI: 10.5281/zenodo.4063989
title: Data set from Barbic F, Minonzio M, Cairo B, Shiffer D, Dipasquale A, Cerina L, Vatteroni A, Urechie V, Verzeletti P, Badilini F, Vaglio M, Iatrino R, Porta A, Santambrogio M, Gatti R, Furlan R. Effects of different classroom temperatures on cardiac autonomic control and cognitive performances in undergraduate students. Physiol Meas. 2019 Jun 4;40(5):054005. doi: 10.1088/1361-6579/ab1816. PMID: 30970334.

description: Data set from Barbic F, Minonzio M, Cairo B, Shiffer D, Dipasquale A, Cerina L, Vatteroni A, Urechie V, Verzeletti P, Badilini F, Vaglio M, Iatrino R, Porta A, Santambrogio M, Gatti R, Furlan R. Effects of different classroom temperatures on cardiac autonomic control and cognitive performances in undergraduate students. Physiol Meas. 2019 Jun 4;40(5):054005. doi: 10.1088/1361-6579/ab1816. PMID: 30970334. This is the abstract: <strong>Objective: </strong> Indoor microclimate may affect students' wellbeing, cardiac autonomic control and cognitive performance with potential impact on learning capabilities. To assess the effects of classroom temperature variations on the autonomic profile and students' cognitive capabilities. <strong>Approach: </strong> Twenty students attending Humanitas University School, (14M, age 21 ± 3 years) underwent a single-lead ECG continuous recording by a portable device during a 2 h lecture when classroom temperature was set 'neutral' (20 °C-22 °C, Day 1) and when classroom temperature was set to 24 °C-26 °C (Day 2). ECGs were sent by telemetry to a server for off-line analysis. Spectral analysis of RR variability provided indices of cardiac sympathetic (LF<sub>nu</sub>), vagal (HF, HF<sub>nu</sub>) and cardiac sympatho-vagal modulation (LF/HF). Symbolic analysis of RR variability provided the percentage of sequences of three heart periods with no significant change in RR interval (0V%) and with two significant variations (2V%) reflecting cardiac sympathetic and vagal modulation, respectively. Students' cognitive performance (memory, verbal comprehension and reasoning) was assessed at the end of each lecture using the Cambridge Brain Sciences cognitive evaluation tool. <strong>Main results: </strong> Classroom temperature and CO<sub>2</sub> were assessed every 5 min. Classroom temperatures were 22.4 °C ± 0.1 °C (Day 1) and 26.2 °C ± 0.1 °C (Day 2). Student's thermal comfort was lower during Day 2 compared to Day 1. HR, LF/HF and 0V% were greater during Day 2 (79.5 ± 12.1 bpm, 6.9 ± 7.1 and 32.8% ± 10.3%) than during Day 1 (72.6 ± 10.8 bpm, 3.4 ± 3.7, 21.4% ± 9.2%). Conversely, 2V% was lower during Day 2 (23.1% ± 8.1%) than during Day 1 (32.3% ± 11.4%). Short-term memory, verbal ability and the overall cognitive C-score scores were lower during Day 2 (10.3 ± 0.3; 8.1 ± 1.2 and 10.9 ± 2.0) compared to Day 1 (11.7 ± 2.1; 10.7 ± 1.7 and 12.6 ± 1.8). <strong>Significance: </strong> During Day 2, a shift of the cardiac autonomic control towards a sympathetic predominance was observed compared to Day 1, in the presence of greater thermal discomfort. Furthermore, during Day 2 reduced cognitive performances were found.
DOI: 10.26300/wxyp-qy61
title: Platelet-Rich Plasma for Wound Care in the Medicare Population
DOI: 10.5281/zenodo.4063986
title: AILA 2019 Precedent & Statute Retrieval Task

description: <strong>Dataset of the AILA (Artificial Intelligence for Legal Assistance) Track at FIRE 2019</strong> Track website : https://sites.google.com/view/fire-2019-aila/<br> Conference website : http://fire.irsi.res.in/fire/2019/home In<strong> </strong>countries following the Common Law system (e.g., UK, USA, Canada, Australia, India), there are two primary sources of law – <em>Statutes</em> (established laws) and <em>Precedents</em> (prior cases). Statutes deal with applying legal principles to a situation (facts / scenario / circumstances which lead to filing the case). Precedents or prior cases help a lawyer understand how the Court has dealt with similar scenarios in the past, and prepare the legal reasoning accordingly. When a lawyer is presented with a situation (that will potentially lead to filing of a case), it will be very beneficial to him/her if there is an automatic system that identifies a set of related prior cases involving similar situations as well as statutes/acts that can be most suited to the purpose in the given situation. Such a system shall not only help a lawyer but also benefit a common man, in a way of getting a preliminary understanding, even before he/she approaches a lawyer. It shall assist him/her in identifying where his/her legal problem fits, what legal actions he/she can proceed with (through statutes) and what were the outcomes of similar cases (through precedents). Motivated by the above scenario, we propose two tasks here : <strong>Task 1 : Identifying relevant prior cases for a given situation</strong> <strong>Task 2 : Identifying most relevant statutes for a given situation</strong> <strong>Task Description:</strong> You will be given a set of 50 queries, each of which describes a situation. <em><strong>Task 1: Identifying relevant prior cases</strong></em> We provide ~3000 case documents of cases that were judged in the Supreme Court of India. For each query, the task is to retrieve the most similar / relevant case document with respect to the situation in the given query. <em><strong>Task 2: Identifying relevant statutes</strong></em> We have identified a set of 197 statutes (Sections of Acts) from Indian law, that are relevant to some of the queries. We provide the title and description of these statutes. For each query, the task is to identify the most relevant statutes (from among the 197 statutes). Note that, the task can be modelled either as an unsupervised retrieval task (where you search for relevant statues) or as a supervised classification task (e.g., trying to predict for each statute whether it is relevant). For the latter, case documents provided for Task 1 can be utilised. However, if a team wishes to apply supervised models, then it is their responsibility to create the necessary training data.
description: {"references": ["Bhattacharya et.al., 2019"]}
DOI: 10.5281/zenodo.4063985
title: AILA 2019 Precedent & Statute Retrieval Task

description: <strong>Dataset of the AILA (Artificial Intelligence for Legal Assistance) Track at FIRE 2019</strong> Track website : https://sites.google.com/view/fire-2019-aila/<br> Conference website : http://fire.irsi.res.in/fire/2019/home In<strong> </strong>countries following the Common Law system (e.g., UK, USA, Canada, Australia, India), there are two primary sources of law – <em>Statutes</em> (established laws) and <em>Precedents</em> (prior cases). Statutes deal with applying legal principles to a situation (facts / scenario / circumstances which lead to filing the case). Precedents or prior cases help a lawyer understand how the Court has dealt with similar scenarios in the past, and prepare the legal reasoning accordingly. When a lawyer is presented with a situation (that will potentially lead to filing of a case), it will be very beneficial to him/her if there is an automatic system that identifies a set of related prior cases involving similar situations as well as statutes/acts that can be most suited to the purpose in the given situation. Such a system shall not only help a lawyer but also benefit a common man, in a way of getting a preliminary understanding, even before he/she approaches a lawyer. It shall assist him/her in identifying where his/her legal problem fits, what legal actions he/she can proceed with (through statutes) and what were the outcomes of similar cases (through precedents). Motivated by the above scenario, we propose two tasks here : <strong>Task 1 : Identifying relevant prior cases for a given situation</strong> <strong>Task 2 : Identifying most relevant statutes for a given situation</strong> <strong>Task Description:</strong> You will be given a set of 50 queries, each of which describes a situation. <em><strong>Task 1: Identifying relevant prior cases</strong></em> We provide ~3000 case documents of cases that were judged in the Supreme Court of India. For each query, the task is to retrieve the most similar / relevant case document with respect to the situation in the given query. <em><strong>Task 2: Identifying relevant statutes</strong></em> We have identified a set of 197 statutes (Sections of Acts) from Indian law, that are relevant to some of the queries. We provide the title and description of these statutes. For each query, the task is to identify the most relevant statutes (from among the 197 statutes). Note that, the task can be modelled either as an unsupervised retrieval task (where you search for relevant statues) or as a supervised classification task (e.g., trying to predict for each statute whether it is relevant). For the latter, case documents provided for Task 1 can be utilised. However, if a team wishes to apply supervised models, then it is their responsibility to create the necessary training data.
description: {"references": ["Bhattacharya et.al., 2019"]}
DOI: 10.5281/zenodo.3940780
title: Governor's Island Dataset for GRASS GIS

description: <strong>Governor's Island Dataset for GRASS GIS</strong><br> This geospatial dataset contains raster and vector data for Governor's Island, New York City, USA. The top level directory <em>nyspf_governors_island</em> is a GRASS GIS location for <em>NAD_1983_StatePlane_New_York_Long_Island_FIPS_3104_Feet </em>in US Surveyor's Feet with EPSG code 2263. Inside the location there is the <em>PERMANENT</em> mapset, a license file, data record, readme file, workspace, color table, category rules, and scripts for data processing. This dataset was created for the course GIS for Designers. <strong>Instructions</strong><br> Install GRASS GIS, unzip this archive, and move the location into your GRASS GIS database<br> directory. If you are new to GRASS GIS read the first time users guide. <strong>Data Sources</strong> https://orthos.dhses.ny.gov/ https://data.cityofnewyork.us/ <strong>Maps</strong> Orthophotographs from 2012, 2014, 2016, and 2018 Digital elevation model from 2017 Digital surface model from 2017 Landcover from 2014 <strong>License</strong><br> This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.
DOI: 10.5281/zenodo.4063998
title: The prefoldin complex stabilizes the von Hippel-Lindau protein against aggregation and degradation

description: This is the dataset corresponding to our submitted article "The prefoldin complex stabilizes the von Hippel-Lindau protein against aggregation and degradation" by Chesnel et al.
DOI: 10.5281/zenodo.4063997
title: The prefoldin complex stabilizes the von Hippel-Lindau protein against aggregation and degradation

description: This is the dataset corresponding to our submitted article "The prefoldin complex stabilizes the von Hippel-Lindau protein against aggregation and degradation" by Chesnel et al.
DOI: 10.5281/zenodo.4063956
title: Neurofilament light chain in serum for the diagnosis of amyotrophic lateral sclerosis

description: <strong>Objective </strong>To determine the diagnostic and prognostic performance of serum neurofilament light chain (NFL) in amyotrophic lateral sclerosis (ALS). <strong>Methods </strong>This single-centre, prospective, longitudinal study included the following patients: 124 patients with ALS; 50 patients without neurodegenerative diseases; 44 patients with conditions included in the differential diagnosis of ALS (disease controls); 65 patients with other neurodegenerative diseases (20 with frontotemporal dementia, 20 with Alzheimer’s disease, 19 with Parkinson’s disease, 6 with CreutzfeldtJakob disease (CJD)). Serum NFL levels were measured using the ultrasensitive single molecule array (Simoa) technology. <strong>Results</strong> Serum NFL levels were higher in ALS in comparison to all other categories except for CJD. A cut-off level of 62 pg/mL discriminated between ALS and all other conditions with 85.5% sensitivity (95% CI 78% to 91.2%) and 81.8% specificity (95% CI 74.9% to 87.4%). Among patients with ALS, serum NFL correlated positively with disease progression rate (rs =0.336, 95% CI 0.14 to 0.506, p=0.0008), and higher levels were associated with shorter survival (p=0.0054). Serum NFL did not differ among patients in different ALS pathological stages as evaluated by diffusion-tensor imaging, and in single patients NFL levels were stable over time. <strong>Conclusions </strong>Serum NFL is increased in ALS in comparison to other conditions and can serve as diagnostic and prognostic biomarker. We established a cut-off level for the diagnosis of ALS.
DOI: 10.5281/zenodo.4063955
title: Neurofilament light chain in serum for the diagnosis of amyotrophic lateral sclerosis

description: <strong>Objective </strong>To determine the diagnostic and prognostic performance of serum neurofilament light chain (NFL) in amyotrophic lateral sclerosis (ALS). <strong>Methods </strong>This single-centre, prospective, longitudinal study included the following patients: 124 patients with ALS; 50 patients without neurodegenerative diseases; 44 patients with conditions included in the differential diagnosis of ALS (disease controls); 65 patients with other neurodegenerative diseases (20 with frontotemporal dementia, 20 with Alzheimer’s disease, 19 with Parkinson’s disease, 6 with CreutzfeldtJakob disease (CJD)). Serum NFL levels were measured using the ultrasensitive single molecule array (Simoa) technology. <strong>Results</strong> Serum NFL levels were higher in ALS in comparison to all other categories except for CJD. A cut-off level of 62 pg/mL discriminated between ALS and all other conditions with 85.5% sensitivity (95% CI 78% to 91.2%) and 81.8% specificity (95% CI 74.9% to 87.4%). Among patients with ALS, serum NFL correlated positively with disease progression rate (rs =0.336, 95% CI 0.14 to 0.506, p=0.0008), and higher levels were associated with shorter survival (p=0.0054). Serum NFL did not differ among patients in different ALS pathological stages as evaluated by diffusion-tensor imaging, and in single patients NFL levels were stable over time. <strong>Conclusions </strong>Serum NFL is increased in ALS in comparison to other conditions and can serve as diagnostic and prognostic biomarker. We established a cut-off level for the diagnosis of ALS.
DOI: 10.5281/zenodo.4063913
title: A novel approach for investigating Parkinson's Disease personality and its association with clinical and psychological aspects.

description: <strong>Objective:</strong> A complex relationship between neuropsychiatric symptoms, personality traits and neurochemical changes in patients with Parkinson’s disease (PD) has been highlighted in the past several decades. In particular, a specific Parkinson personality with obsessive traits has been described. However, despite the great amount of anecdotal evidence, this aspect, together with its neurobiological, psychological and clinical correlates, are still not clearly defined. Therefore, we performed a case-control study in order to investigate the presence and rate of obsessive personality traits in PD patients within the theoretical framework of cognitive-constructivist model. Moreover, the relationship between PD personality and clinical, psychological and quality of life (QoL) aspects in PD were investigated. <strong>Methods:</strong> Fifty-one non-demented patients with probable or possible PD (not demented) were recruited at the inpatient-outpatient San Luca Hospital, IRCCS Istituto Auxologico Italiano. Control group was composed by forty-eight age- and education-matched healthy volunteers. Patients underwent a neurological investigation including Unified PD Rating Scale (UPDRS), Modified Hoehn and Yahr and Schwab and England staging scales. The following psychological questionnaires were administered to the overall sample: Personal Meaning Questionnaire (PMQ), State-Trait Anxiety Inventory-Form Y (STAI-Y), Beck Depression Inventory (BDI), Symptom Check List-90 (SCL-90), Short-Form Health Survey-36 (SF-36). <strong>Results:</strong> No significant differences in personality styles were observed in PD patients and controls, with a prevalence of phobic personal meaning organization (PMO) in both groups. However, PD patients showed more anxiety, depression and obsessive-compulsive (OC) symptoms than controls at the psychological questionnaires, as well as poorer QoL levels. The intensity of personality traits, and in particular for the obsessive personality style, were negatively associated with QoL and positively with disease severity. No significant relationships were observed between personality and other clinical aspects, such as side of onset and disease duration. <strong>Conclusion:</strong> Parkinson’s disease patients did not show a different personality profile according to the cognitive-constructivist model with respect to controls. However, in this population, a general enhancement in the tendency to codify experience by means of specific cognitive and emotional patterns was associated to disease progression and to a poorer QoL.
DOI: 10.5281/zenodo.4063912
title: A novel approach for investigating Parkinson's Disease personality and its association with clinical and psychological aspects.

description: <strong>Objective:</strong> A complex relationship between neuropsychiatric symptoms, personality traits and neurochemical changes in patients with Parkinson’s disease (PD) has been highlighted in the past several decades. In particular, a specific Parkinson personality with obsessive traits has been described. However, despite the great amount of anecdotal evidence, this aspect, together with its neurobiological, psychological and clinical correlates, are still not clearly defined. Therefore, we performed a case-control study in order to investigate the presence and rate of obsessive personality traits in PD patients within the theoretical framework of cognitive-constructivist model. Moreover, the relationship between PD personality and clinical, psychological and quality of life (QoL) aspects in PD were investigated. <strong>Methods:</strong> Fifty-one non-demented patients with probable or possible PD (not demented) were recruited at the inpatient-outpatient San Luca Hospital, IRCCS Istituto Auxologico Italiano. Control group was composed by forty-eight age- and education-matched healthy volunteers. Patients underwent a neurological investigation including Unified PD Rating Scale (UPDRS), Modified Hoehn and Yahr and Schwab and England staging scales. The following psychological questionnaires were administered to the overall sample: Personal Meaning Questionnaire (PMQ), State-Trait Anxiety Inventory-Form Y (STAI-Y), Beck Depression Inventory (BDI), Symptom Check List-90 (SCL-90), Short-Form Health Survey-36 (SF-36). <strong>Results:</strong> No significant differences in personality styles were observed in PD patients and controls, with a prevalence of phobic personal meaning organization (PMO) in both groups. However, PD patients showed more anxiety, depression and obsessive-compulsive (OC) symptoms than controls at the psychological questionnaires, as well as poorer QoL levels. The intensity of personality traits, and in particular for the obsessive personality style, were negatively associated with QoL and positively with disease severity. No significant relationships were observed between personality and other clinical aspects, such as side of onset and disease duration. <strong>Conclusion:</strong> Parkinson’s disease patients did not show a different personality profile according to the cognitive-constructivist model with respect to controls. However, in this population, a general enhancement in the tendency to codify experience by means of specific cognitive and emotional patterns was associated to disease progression and to a poorer QoL.
DOI: 10.5281/zenodo.4058414
title: DEVILS: a tool for the visualization of large datasets with a high dynamic range

description: This repository accompanying the article “DEVILS: a tool for the visualization of large datasets with a high dynamic range” contains the following: Extended Material of the article An example raw dataset corresponding to the images shown in Fig. 3 A workflow description that demonstrates the use of the DEVILS workflow with BigStitcher.