cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1017263.09fu
title: SH1017263.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.21227/2jrt-jt11
title: Black Spot for North Greece (BSNG)

description: Black spot identification is considered a spatiotemporal phenomenon because it involves both the geographical location of the road network and the occurrence of road accidents over time. The analysis of road accidents is typically performed over a specified time period and at specific locations on the road network. The results of this analysis is used to identify locations on the road network that have a higher concentration of road accidents, which are referred to as black spots. These problematic places are evaluated to determine the underlying causes and the reason behind the higher spatial concentration of collisions. Factors such as road design, traffic volume, driver behavior, weather conditions, and road infrastructure can all play a role in car accidents. Identifying black spots can be challenging owing to limited data availability, data quality, and difficulties in accurately assessing factors contributing to road accidents. Additionally, changes in road design and infrastructure over time, as well as improvements in vehicle safety technology, can impact the validity of black spot analysis and the concept of black spot determination. In this work a study was conducted on traffic accidents situated on Greek road networks for the purpose of black spot recognition. The data were acquired from car crash reports issued by police and other government sources. A publicly available dataseta, called Black spots of North Greece (BSNG), and a highly accurate identification method were the outcomes of this study.
DOI: 10.5281/zenodo.7636639
title: Duke Spleen Data Set

description: CT and MRI images with associated binary spleen segmentation masks; includes axial and coronal images, MRI includes SSFSE and T1w opposed phase contrasts; includes a range of normal and abnormal spleen sizes and shapes in the setting of chronic liver disease.
DOI: 10.5281/zenodo.7636640
title: Duke Spleen Data Set

description: CT and MRI images with associated binary spleen segmentation masks; includes axial and coronal images, MRI includes SSFSE and T1w opposed phase contrasts; includes a range of normal and abnormal spleen sizes and shapes in the setting of chronic liver disease.
DOI: 10.5281/zenodo.6782003
title: Neurodevelopmental Patterns of Early Postnatal White Matter Maturation Represent Distinct Underlying Microstructure and Histology

description: This dataset includes: T2w Template from the dHCP datasets. 4D weekly average maps from the dHCP study: i) average T2w; ii) average T2w/T1w signal ratio; iii) average neurite density index [from NODDI]; iv) average free water map [from NODDI]. NMF results - NeWMaPs from the dHCP study across multiple resolutions (ranging from 2-20 NMFs).
description: {"references": ["Nazeri A, Krsnik \u017d, Kostovi\u0107 I, Ha SM, Kopi\u0107 J, Alexopoulos D, Kaplan S, Meyer D, Luby JL, Warner BB, Rogers CE. Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology. Neuron. 2022 Dec 7;110(23):4015-30."]}
DOI: 10.5281/zenodo.6782004
title: Neurodevelopmental Patterns of Early Postnatal White Matter Maturation Represent Distinct Underlying Microstructure and Histology

description: This dataset includes: T2w Template from the dHCP datasets. 4D weekly average maps from the dHCP study: i) average T2w; ii) average T2w/T1w signal ratio; iii) average neurite density index [from NODDI]; iv) average free water map [from NODDI]. NMF results - NeWMaPs from the dHCP study across multiple resolutions (ranging from 2-20 NMFs).
description: {"references": ["Nazeri A, Krsnik \u017d, Kostovi\u0107 I, Ha SM, Kopi\u0107 J, Alexopoulos D, Kaplan S, Meyer D, Luby JL, Warner BB, Rogers CE. Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology. Neuron. 2022 Dec 7;110(23):4015-30."]}
DOI: 10.5281/zenodo.7813125
title: The mycobiome of the gut of willow wood borer, Xiphydria prolongata (Hymenoptera: Xiphydriidae): a rich source of rare yeasts

description: A high-throughput amplicon sequencing as a culture-independent approach was used to identify the gut mycobiome of the willow wood borer <em>Xiphydria prolongata</em>. The findings of this study are significance in terms of the insect-fungal interactions and indicate the unexpected richness of the mycobiome and the presence of many rare yeast species in the wood borer gut. A total of 40 fungal genera were found, and among them, only one endophytic fungi, <em>Daldinia</em> (Hypoxylaceae), has been previously reported in <em>Xiphydria.</em> <em>Zygosaccharomyces siamensis</em> is the most prevalent ascomycete species, while <em>Rhodosporidiobolus colostri</em> is the most abundant basidiomycetous yeast in <em>X. prolongata</em>. Some of the species identified in here was known as very rare fungus such as <em>Skoua fertilis</em>, <em>Chaetomium nepalense, R. colostri </em>and<em> Vustinia terrae</em>. This study is also the first report to <em>S. fertilis </em>and<em> V. terrae</em> in the insect gut flora. These funguses most likely aid in the digestion of lignocellulose in the gut of wood borer. Therefore, further researches are required to know the source of acquisition and functional role of these yeast and their industrial potential.
DOI: 10.13140/rg.2.2.30707.60968
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.13140/rg.2.2.13930.39369
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.5281/zenodo.7813124
title: The mycobiome of the gut of willow wood borer, Xiphydria prolongata (Hymenoptera: Xiphydriidae): a rich source of rare yeasts

description: A high-throughput amplicon sequencing as a culture-independent approach was used to identify the gut mycobiome of the willow wood borer <em>Xiphydria prolongata</em>. The findings of this study are significance in terms of the insect-fungal interactions and indicate the unexpected richness of the mycobiome and the presence of many rare yeast species in the wood borer gut. A total of 40 fungal genera were found, and among them, only one endophytic fungi, <em>Daldinia</em> (Hypoxylaceae), has been previously reported in <em>Xiphydria.</em> <em>Zygosaccharomyces siamensis</em> is the most prevalent ascomycete species, while <em>Rhodosporidiobolus colostri</em> is the most abundant basidiomycetous yeast in <em>X. prolongata</em>. Some of the species identified in here was known as very rare fungus such as <em>Skoua fertilis</em>, <em>Chaetomium nepalense, R. colostri </em>and<em> Vustinia terrae</em>. This study is also the first report to <em>S. fertilis </em>and<em> V. terrae</em> in the insect gut flora. These funguses most likely aid in the digestion of lignocellulose in the gut of wood borer. Therefore, further researches are required to know the source of acquisition and functional role of these yeast and their industrial potential.
DOI: 10.6084/m9.figshare.22581595
title: Drone and human Phelsuma count data

description: Data used for the article titled "<strong>A bird’s-eye view: Evaluating drone imagery for the detection and monitoring of endangered and invasive day gecko species" </strong>by Dubos et al.
DOI: 10.13140/rg.2.2.18963.55847
title: Population Dynamic study of O. smaragidna in Oil Palm Plantations from 2018 to 2022 EMP
DOI: 10.13140/rg.2.2.32385.33126
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.13140/rg.2.2.15608.11527
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.13140/rg.2.2.22319.00162
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.13140/rg.2.2.35740.77445
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.13140/rg.2.2.14769.25444
title: Population Dynamic study of O. smaragidna in Oil Palm Plantations from 2018 to 2022 EMP
DOI: 10.6084/m9.figshare.22581607
title: Supplementary Material for: An Analysis of Dasatinib Treatment Patterns in Patients with Chronic Myeloid Leukemia After Experiencing Pleural Effusion During Dasatinib Therapy

description: Introduction: Treatment with dasatinib for chronic myeloid leukemia (CML) has been associated with development of pleural effusion, however data regarding its optimal management are limited. We examined treatment patterns and healthcare resource utilization (HCRU) and costs among patients with CML treated with dasatinib who experienced a subsequent pleural effusion. Methods: Adults with CML and ≥1 pharmacy claim for dasatinib in 2015–2018 who experienced pleural effusion after dasatinib were identified using data from claims databases. Results: Overall, 123 patients were eligible. After 1 year, of the 38.2% of patients with a dose modification, 72.3% did not switch treatment; amongst these patients, 70.6% continued treatment. Among patients with a stable dose after pleural effusion (61.8%), 57.9% later switched to another TKI. The mean (SD) duration of dasatinib treatment after pleural effusion was 262.0 (124.0) days for patients with a dose modification versus 149.1 (155.2) days for those with a stable dose (p &lt; 0.001). HCRU and costs were similar between groups. Discussion/Conclusion: Dasatinib dose modification after pleural effusion was not always required; however, patients with dose modifications continued therapy for a longer duration with a lower rate of switching to another TKI versus patients who remained on a stable dose.
DOI: 10.6084/m9.figshare.22581610
title: Supplementary Material for: An Analysis of Dasatinib Treatment Patterns in Patients with Chronic Myeloid Leukemia After Experiencing Pleural Effusion During Dasatinib Therapy

description: Introduction: Treatment with dasatinib for chronic myeloid leukemia (CML) has been associated with development of pleural effusion, however data regarding its optimal management are limited. We examined treatment patterns and healthcare resource utilization (HCRU) and costs among patients with CML treated with dasatinib who experienced a subsequent pleural effusion. Methods: Adults with CML and ≥1 pharmacy claim for dasatinib in 2015–2018 who experienced pleural effusion after dasatinib were identified using data from claims databases. Results: Overall, 123 patients were eligible. After 1 year, of the 38.2% of patients with a dose modification, 72.3% did not switch treatment; amongst these patients, 70.6% continued treatment. Among patients with a stable dose after pleural effusion (61.8%), 57.9% later switched to another TKI. The mean (SD) duration of dasatinib treatment after pleural effusion was 262.0 (124.0) days for patients with a dose modification versus 149.1 (155.2) days for those with a stable dose (p &lt; 0.001). HCRU and costs were similar between groups. Discussion/Conclusion: Dasatinib dose modification after pleural effusion was not always required; however, patients with dose modifications continued therapy for a longer duration with a lower rate of switching to another TKI versus patients who remained on a stable dose.
DOI: 10.6084/m9.figshare.22581610.v1
title: Supplementary Material for: An Analysis of Dasatinib Treatment Patterns in Patients with Chronic Myeloid Leukemia After Experiencing Pleural Effusion During Dasatinib Therapy

description: Introduction: Treatment with dasatinib for chronic myeloid leukemia (CML) has been associated with development of pleural effusion, however data regarding its optimal management are limited. We examined treatment patterns and healthcare resource utilization (HCRU) and costs among patients with CML treated with dasatinib who experienced a subsequent pleural effusion. Methods: Adults with CML and ≥1 pharmacy claim for dasatinib in 2015–2018 who experienced pleural effusion after dasatinib were identified using data from claims databases. Results: Overall, 123 patients were eligible. After 1 year, of the 38.2% of patients with a dose modification, 72.3% did not switch treatment; amongst these patients, 70.6% continued treatment. Among patients with a stable dose after pleural effusion (61.8%), 57.9% later switched to another TKI. The mean (SD) duration of dasatinib treatment after pleural effusion was 262.0 (124.0) days for patients with a dose modification versus 149.1 (155.2) days for those with a stable dose (p &lt; 0.001). HCRU and costs were similar between groups. Discussion/Conclusion: Dasatinib dose modification after pleural effusion was not always required; however, patients with dose modifications continued therapy for a longer duration with a lower rate of switching to another TKI versus patients who remained on a stable dose.
DOI: 10.6084/m9.figshare.22575172
title: benchmark_total.csv

description: Random search results from the paper Why do tree-based models still outperform deep learning on typical tabular data?
DOI: 10.6084/m9.figshare.22575172.v1
title: benchmark_total.csv

description: Random search results from the paper Why do tree-based models still outperform deep learning on typical tabular data?
DOI: 10.13140/rg.2.2.34901.91360
title: Raw processed dataset Prediction of Population Dynamic 2018 - 2022 MDPI Agriculture
DOI: 10.34740/kaggle/dsv/5361729
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.22209505
title: Functional characterization of all missense variants in <i>LEPR, PCSK1</i>, and <i>POMC</i> genes arising from single-nucleotide variants

description: Hyperphagia and early-onset, severe obesity are clinical characteristics of rare melanocortin-4 receptor (MC4R) pathway diseases due to loss-of-function (LOF) variants in genes comprising the MC4R pathway. In vitro functional characterization of 12,879 possible exonic missense variants from single-nucleotide variants (SNVs) of <i>LEPR, POMC</i>, and <i>PCSK1</i> was performed to determine the impact of these variants on protein function. SNVs of the three genes were transiently transfected into cell lines, and each variant was subsequently classified according to functional impact. We validated three assays by comparing classifications against functional characterization of 29 previously published variants. Our results significantly correlated with previously published pathogenic categories (r = 0.623; <i>P</i> = 3.03 × 10<sup>–4</sup>) of all potential missense variants arising from SNVs. Of all observed variants identified through available databases and a tested cohort of 16,061 patients with obesity, 8.6% of <i>LEPR</i>, 63.2% of <i>PCSK1</i>, and 10.6% of <i>POMC</i> variants exhibited LOF, including variants currently classified as a variant of uncertain significance (VUS). The functional data provided here can assist in the reclassification of several VUS in <i>LEPR, PCSK1</i>, and <i>POMC</i> and highlight their impact in MC4R pathway diseases.
DOI: 10.6084/m9.figshare.19651223
title: Are they really motor learning therapies? A scoping review of evidence-based, task-focused models of upper limb therapy for children with unilateral cerebral palsy

description: To identify the specific motor learning (ML) theories underpinning evidence-based, task-focused upper limb models of therapy for children with unilateral cerebral palsy; and to document the strategies used in the operationalisation of these theories. This scoping review searched for relevant studies using eight electronic databases. A list of 68 ML strategies and accompanying definitions was developed for data extraction. Three classifications; adequate, inadequate or not described were used to rate the description of ML strategies. A corresponding colour-coding system was used to provide a visual summary. There is a limited description of the ML theories and strategies used to operationalise these theories in existing models of evidence-based upper limb therapy. Of 103 therapy protocols included, only 24 explicitly described the guiding ML theory. When described, there was significant variation in the underlying theories, leading to significantly different focus and content of therapy. Of the 68 ML strategies, only three were adequately described. To support treatment fidelity and the implementation of evidence-based, task-focused models of upper limb therapy in clinical practice, future research needs to provide explicit details about the underlying theories and strategies used in the operationalisation of these theories.Implications for rehabilitationEvidence-based models of upper limb therapy purport to be based on motor learning theory, however, most provide a very limited description of the theories and strategies used.Dosage of practice is only one element that is specific to a therapy approach and other elements guided by the principles of type of task and type of feedback should be considered.To support the implementation of evidence-based approaches in clinical practice, and improve treatment fidelity, it is important for researchers to define the theories that guide therapy approaches and explicitly describe the strategies used to operationalise these theories. Evidence-based models of upper limb therapy purport to be based on motor learning theory, however, most provide a very limited description of the theories and strategies used. Dosage of practice is only one element that is specific to a therapy approach and other elements guided by the principles of type of task and type of feedback should be considered. To support the implementation of evidence-based approaches in clinical practice, and improve treatment fidelity, it is important for researchers to define the theories that guide therapy approaches and explicitly describe the strategies used to operationalise these theories.
DOI: 10.6084/m9.figshare.19651223.v1
title: Are they really motor learning therapies? A scoping review of evidence-based, task-focused models of upper limb therapy for children with unilateral cerebral palsy

description: To identify the specific motor learning (ML) theories underpinning evidence-based, task-focused upper limb models of therapy for children with unilateral cerebral palsy; and to document the strategies used in the operationalisation of these theories. This scoping review searched for relevant studies using eight electronic databases. A list of 68 ML strategies and accompanying definitions was developed for data extraction. Three classifications; adequate, inadequate or not described were used to rate the description of ML strategies. A corresponding colour-coding system was used to provide a visual summary. There is a limited description of the ML theories and strategies used to operationalise these theories in existing models of evidence-based upper limb therapy. Of 103 therapy protocols included, only 24 explicitly described the guiding ML theory. When described, there was significant variation in the underlying theories, leading to significantly different focus and content of therapy. Of the 68 ML strategies, only three were adequately described. To support treatment fidelity and the implementation of evidence-based, task-focused models of upper limb therapy in clinical practice, future research needs to provide explicit details about the underlying theories and strategies used in the operationalisation of these theories.Implications for rehabilitationEvidence-based models of upper limb therapy purport to be based on motor learning theory, however, most provide a very limited description of the theories and strategies used.Dosage of practice is only one element that is specific to a therapy approach and other elements guided by the principles of type of task and type of feedback should be considered.To support the implementation of evidence-based approaches in clinical practice, and improve treatment fidelity, it is important for researchers to define the theories that guide therapy approaches and explicitly describe the strategies used to operationalise these theories. Evidence-based models of upper limb therapy purport to be based on motor learning theory, however, most provide a very limited description of the theories and strategies used. Dosage of practice is only one element that is specific to a therapy approach and other elements guided by the principles of type of task and type of feedback should be considered. To support the implementation of evidence-based approaches in clinical practice, and improve treatment fidelity, it is important for researchers to define the theories that guide therapy approaches and explicitly describe the strategies used to operationalise these theories.
DOI: 10.6084/m9.figshare.19763315.v1
title: Development of the <i>“Kalmer”</i> relaxation intervention: co-design with stroke survivors with aphasia

description: Anxiety is common after stroke and more prevalent in survivors with aphasia. Relaxation is an effective first-line therapy. The current study aimed to obtain the perspectives of stroke survivors with aphasia to inform the development of an accessible, technology-based, relaxation intervention. Qualitative co-design methods were used with twelve people with aphasia after stroke. The “Kalmer” Relaxation treatment package materials were iteratively based on participants’ experiences and preferences; barriers and facilitators to treatment compliance were explored. Participants were also asked to consider how the intervention might be evaluated in a research trial. A thematic analysis highlighted the importance and need for the development of an appropriate and inclusive relaxation product, to be implemented by health professionals early post-stroke. Several behavioural strategies to improve treatment adherence were recommended. Participants had varying perspectives on clinically meaningful treatment outcomes. Overall, a co-designed accessible relaxation product was viewed as a necessary component of usual stroke care. Acceptability and feasibility and preliminary efficacy of the “Kalmer” intervention should be trialled in future studies. IMPLICATIONS FOR REHABILITATIONCo-designing psychological interventions for people with aphasia after stroke is needed to meet the needs of this at-risk population.Technology-based relaxation interventions to manage anxiety after stroke are viewed positively by people with aphasia and deemed acceptable and feasible.Clinical trials of these co-designed relaxation interventions are required before recommending integration into routine practice. Co-designing psychological interventions for people with aphasia after stroke is needed to meet the needs of this at-risk population. Technology-based relaxation interventions to manage anxiety after stroke are viewed positively by people with aphasia and deemed acceptable and feasible. Clinical trials of these co-designed relaxation interventions are required before recommending integration into routine practice.