cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17100329
title: Objective and subjective performance indicators of clutch performance in basketball: A mixed-methods multiple case study

description: Clutch performance refers to improved or successful performance under pressure. Whether such performances should be assessed using objective indicators (e.g., performance statistics) or subjective indicators (e.g., athletes’ perceived performance) remains an important unresolved issue within the field. The aim of this study was to examine the types of performance indicators that basketballers use to identify clutch performance. A mixed-methods multiple case study design was adopted involving four semi-elite basketballers (3 male, 1 female). Four sources of data were collected: (1) performance statistics; (2) a screening questionnaire measuring pressure and perceived performance; (3) observations; and (4) event-focused interviews. As two participants reported on two different performances, a total of six cases were included. Within-case analysis was conducted to become familiar with each case, followed by an integrated cross-case analysis. Results suggested that whilst objective indicators are important for identifying clutch performance, these were often viewed through a subjective lens. Further, subjective indicators such as perceived effort and control appear similarly important in assessing clutch performance. Lastly, it was reported that clutch performances do not always require winning, but may rather be about a sense of contributing to the team performance. Overall, these findings suggest that operationalizations of clutch performance should consider athletes’ subjective interpretations, and not rely solely on objective indicators. <i>Lay summary</i>: An important step in facilitating performance under pressure is understanding how to measure such performances. This study suggests that athletes’ perceptions of their performance under pressure are important to consider, and may not align with traditional objective performance indicators, such as performance statistics. Implications for practiceWhen examining performance under pressure, practitioners should consider athletes’ own interpretations of objective performance indicatorsPractitioners may also consider examining subjective indicators of performance, such as perceived effort or control when measuring performances under pressureEncouraging athletes to contribute toward the team performance, rather than focusing on the outcome, may facilitate assessments of clutch performance. When examining performance under pressure, practitioners should consider athletes’ own interpretations of objective performance indicators Practitioners may also consider examining subjective indicators of performance, such as perceived effort or control when measuring performances under pressure Encouraging athletes to contribute toward the team performance, rather than focusing on the outcome, may facilitate assessments of clutch performance.
DOI: 10.6084/m9.figshare.17100329.v1
title: Objective and subjective performance indicators of clutch performance in basketball: A mixed-methods multiple case study

description: Clutch performance refers to improved or successful performance under pressure. Whether such performances should be assessed using objective indicators (e.g., performance statistics) or subjective indicators (e.g., athletes’ perceived performance) remains an important unresolved issue within the field. The aim of this study was to examine the types of performance indicators that basketballers use to identify clutch performance. A mixed-methods multiple case study design was adopted involving four semi-elite basketballers (3 male, 1 female). Four sources of data were collected: (1) performance statistics; (2) a screening questionnaire measuring pressure and perceived performance; (3) observations; and (4) event-focused interviews. As two participants reported on two different performances, a total of six cases were included. Within-case analysis was conducted to become familiar with each case, followed by an integrated cross-case analysis. Results suggested that whilst objective indicators are important for identifying clutch performance, these were often viewed through a subjective lens. Further, subjective indicators such as perceived effort and control appear similarly important in assessing clutch performance. Lastly, it was reported that clutch performances do not always require winning, but may rather be about a sense of contributing to the team performance. Overall, these findings suggest that operationalizations of clutch performance should consider athletes’ subjective interpretations, and not rely solely on objective indicators. <i>Lay summary</i>: An important step in facilitating performance under pressure is understanding how to measure such performances. This study suggests that athletes’ perceptions of their performance under pressure are important to consider, and may not align with traditional objective performance indicators, such as performance statistics. Implications for practiceWhen examining performance under pressure, practitioners should consider athletes’ own interpretations of objective performance indicatorsPractitioners may also consider examining subjective indicators of performance, such as perceived effort or control when measuring performances under pressureEncouraging athletes to contribute toward the team performance, rather than focusing on the outcome, may facilitate assessments of clutch performance. When examining performance under pressure, practitioners should consider athletes’ own interpretations of objective performance indicators Practitioners may also consider examining subjective indicators of performance, such as perceived effort or control when measuring performances under pressure Encouraging athletes to contribute toward the team performance, rather than focusing on the outcome, may facilitate assessments of clutch performance.
DOI: 10.5281/zenodo.7760331
title: amazona_vittata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7760330
title: amazona_vittata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7759827
title: BD_Delphi-validation_NbS-CoBAs-tool

description: 2 BBDD of the Delphi validation of tool for NbS psychosocial benefits assessment in urban regeneration processes (<em>NbS-CoBAs tool</em>): A panel of 10 experts in different fields (environmental and social psychology, urbanism, urban regeneration, and Nature-based Solutions) were involved in the validation process with Delphi. The two data bases are from the first and the second steps of the Delphi method.
DOI: 10.5281/zenodo.7759826
title: BD_Delphi-validation_NbS-CoBAs-tool

description: 2 BBDD of the Delphi validation of tool for NbS psychosocial benefits assessment in urban regeneration processes (<em>NbS-CoBAs tool</em>): A panel of 10 experts in different fields (environmental and social psychology, urbanism, urban regeneration, and Nature-based Solutions) were involved in the validation process with Delphi. The two data bases are from the first and the second steps of the Delphi method.
DOI: 10.25345/c57d2qh9b
title: MassIVE MSV000091526 - Intrathecal IgG in multiple sclerosis
title: Total IgG isolated using DynaBeads from CSF of MS patients, with matched serum IgG
DOI: 10.7284/149745
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PE22-15 using a SeaBird SBE-911+ instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149747
title: Fluorometer data collected during research cruise PE22-15 using a WETLabs ECO-FL instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149746
title: GNSS (Global Navigation Satellite System) data collected during research cruise PE22-15 using a Ashtech ADU800 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149748
title: Gyrocompass data collected during research cruise PE22-15 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149749
title: Meteorological Station data collected during research cruise PE22-15 using a RMYoung 92000 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149744
title: Transmissometer data collected during research cruise PE22-15 using a WETLabs C-Star instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149743
title: TSG (Thermosalinograph) data collected during research cruise PE22-15 using a SeaBird SBE-21 instrument system onboard the platform RV Pelican

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.4121/bc06c021-ba04-49cb-bf97-da3ee96bf132
title: Data on the geographical distribution of the alien invasive Alligator gar Atractosteus spatula in China

description: A total of 49 records were obtained. Removing the duplicate locations, 36 valid occurrence records of Atractosteus spatula were finally selected in the study. The data were put into an Excel worksheet and saved in a CSV file. The sample spots' coordinates in longitude and latitude were acquired using the WGS84 coordinate system.
DOI: 10.4121/bc06c021-ba04-49cb-bf97-da3ee96bf132.v1
title: Data on the geographical distribution of the alien invasive Alligator gar Atractosteus spatula in China

description: A total of 49 records were obtained. Removing the duplicate locations, 36 valid occurrence records of Atractosteus spatula were finally selected in the study. The data were put into an Excel worksheet and saved in a CSV file. The sample spots' coordinates in longitude and latitude were acquired using the WGS84 coordinate system.
DOI: 10.34992/7hmy-nh98
title: Incremental Gross Drainage Areas of the AAFC Watersheds Project - 2013
DOI: 10.7284/137025
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PS1910 using a SeaBird SBE-911+ instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34992/w879-0x22
title: Hydrometric Gauging Stations of the AAFC Watersheds Project, 2013
DOI: 10.6084/m9.figshare.20211005
title: Klaralven_Tribs_RRA2023.xlsx

description: Dataset for Klaralven tributaries collected in Summer 2019
DOI: 10.6084/m9.figshare.20211005.v2
title: Klaralven_Tribs_RRA2023.xlsx

description: Dataset for Klaralven tributaries collected in Summer 2019
DOI: 10.6084/m9.figshare.20211005.v1
title: Klaralven_Tribs_Ecosphere2022.xlsx

description: Dataset for Klaralven tributaries collected in Summer 2019
DOI: 10.7284/136849
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PS1905 using a SeaBird SBE-911+ instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34992/42h1-ey87
title: Lakes, Rivers and Glaciers in Canada: CanVec Series, Hydrographic Features 15M
DOI: 10.5281/zenodo.7759810
title: GWAS analysis for tolerance to heat stress and milk production, in subtropical Egyptian goats

description: The conservation of local Egyptian goat genotypes has been a national program since 2009. Our study investigated different subtropical Egyptian goat populations (367 does) from different harsh ecological zones(hot Upper Egypt, Coastal Zone of Western Desert, and Wahati Desert Oasis) to identify genes associated with heat stress. We examined the physiological response of animals that were exposed to simulated summer grazing conditions, and physiological parameters including respiration rate, gas volume, rectal temperature, and skin temperature. Temperature Humidity Index ranged from 98.6 to 109.3, indicating that the animals were under severe heat stress. Results showed significant differences between the populations in their tolerance to heat stress, with Saidi goats being the most adapted to hot-dry conditions. Respiration rate was found to be the most reliable physiological trait for differentiating between animals in their tolerance to heat stress. The GWAS analysis involved 157 genotypes and 54,032 marker-SNPs, revealing 90 SNPs associated with heat stress and 70 SNPs associated with milk production. Chromosome 1 had the highest number of SNPs associated with heat-stress traits, while chromosome 4 exhibited the largest number of significant SNPs associated with milk production. Several genes were associated with heat stress response and tolerance in goats. These genes were categorized into three main groups: heat stress response, stress response, and reproduction, and feed intake. The first group includes USP54, KDM6A, and ETNPPL, which have multiple functions, such as steroid biosynthesis, metabolism, and stress response, and are also involved in key biological processes such as reproduction, immune response, and metabolism. The second group, which is mostly associated with immune response, includes GLTSCR2 and NAALADL2. Finally, a group of genes that may control animal feed intakes, including TRPM3 and ZBTB8A. Additionally, several genes, such as FHIT, GALNT18, RAPGEF5, and RBFOX1, linked to milk production, are known to be linked fertility, and fatty acid composition. These findings provide insights into the potential roles of these genes in heat stress response and tolerance in goats, and the genetic basis for improved milk production and animal welfare and can be used as selection markers in the ongoing breeding programs.
DOI: 10.5281/zenodo.7759809
title: GWAS analysis for tolerance to heat stress and milk production, in subtropical Egyptian goats

description: The conservation of local Egyptian goat genotypes has been a national program since 2009. Our study investigated different subtropical Egyptian goat populations (367 does) from different harsh ecological zones(hot Upper Egypt, Coastal Zone of Western Desert, and Wahati Desert Oasis) to identify genes associated with heat stress. We examined the physiological response of animals that were exposed to simulated summer grazing conditions, and physiological parameters including respiration rate, gas volume, rectal temperature, and skin temperature. Temperature Humidity Index ranged from 98.6 to 109.3, indicating that the animals were under severe heat stress. Results showed significant differences between the populations in their tolerance to heat stress, with Saidi goats being the most adapted to hot-dry conditions. Respiration rate was found to be the most reliable physiological trait for differentiating between animals in their tolerance to heat stress. The GWAS analysis involved 157 genotypes and 54,032 marker-SNPs, revealing 90 SNPs associated with heat stress and 70 SNPs associated with milk production. Chromosome 1 had the highest number of SNPs associated with heat-stress traits, while chromosome 4 exhibited the largest number of significant SNPs associated with milk production. Several genes were associated with heat stress response and tolerance in goats. These genes were categorized into three main groups: heat stress response, stress response, and reproduction, and feed intake. The first group includes USP54, KDM6A, and ETNPPL, which have multiple functions, such as steroid biosynthesis, metabolism, and stress response, and are also involved in key biological processes such as reproduction, immune response, and metabolism. The second group, which is mostly associated with immune response, includes GLTSCR2 and NAALADL2. Finally, a group of genes that may control animal feed intakes, including TRPM3 and ZBTB8A. Additionally, several genes, such as FHIT, GALNT18, RAPGEF5, and RBFOX1, linked to milk production, are known to be linked fertility, and fatty acid composition. These findings provide insights into the potential roles of these genes in heat stress response and tolerance in goats, and the genetic basis for improved milk production and animal welfare and can be used as selection markers in the ongoing breeding programs.
DOI: 10.6084/m9.figshare.22317688.v1
title: Beskidomyces laricis_alignment

description: Alignment related to new species Beskidomyces laricis.
DOI: 10.6084/m9.figshare.22317688
title: Beskidomyces laricis_alignment

description: Alignment related to new species Beskidomyces laricis.
DOI: 10.5281/zenodo.7760389
title: SciExpeM - 10.5281/zenodo.7760389

description: Lovell, A.B.; Brezinsky, K.; Glassman, I. - Symposium (International) On Combustion, 1989, (22), 1063-1074
DOI: 10.5281/zenodo.7760388
title: SciExpeM - 10.5281/zenodo.7760389

description: Lovell, A.B.; Brezinsky, K.; Glassman, I. - Symposium (International) On Combustion, 1989, (22), 1063-1074
DOI: 10.34992/9h4v-ba34
title: Lakes, Rivers and Glaciers in Canada: CanVec Series, Hydrographic Features 1M
DOI: 10.7284/137016
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise PS1908 using a SeaBird SBE-911+ instrument system onboard the platform RV Point Sur

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.34992/7feb-kc88
title: Lakes, Rivers and Glaciers in Canada: CanVec Series, Hydrographic Features 5M
DOI: 10.5281/zenodo.7697519
title: Diamond NCBI Genbank Viral database for SOVAP

description: <strong>Diamond NCBI Genbank Viral database</strong> Database type: Diamond database Database format version: 3 Label: 2023-03-18_18-40-17 Sequences: 3,191,190 Sum length: 824,564,244 Assembly summary entries: 58,201 -------------------------------------------------------- <strong>SOVAP v.1.3: </strong>GitHub <strong><em>Soil Virome Analysis Pipeline</em></strong> Description The study of viral communities in complex environmental samples, such as <strong>soil</strong>, can provide valuable insights into the diversity and functions of viral communities in the ecosystem. However, processing and analyzing of virome data can be a challenging task that requires the integration of various computational tools and techniques. To address these challenges, we have developed <strong>SOVAP</strong> pipeline that utilizes a suite of state-of-the-art tools for processing, analysis, and annotation viromics and metagenomics data. It utilizes various tools such as <strong>Fastp</strong> and <strong>Centrifuge</strong> for preprocessing and contamination removal, <strong>geNomad</strong>, <strong>Diamond</strong> and <strong>Megan</strong> for identification and annotation of viral contigs which are assembled and clustered using <strong>Megahit</strong> and <strong>CD-HIT</strong>. Additionally, this pipeline provides an <strong>estimate of the abundance</strong> of viral contigs, allowing for a more comprehensive understanding of the virome within the sample. The integration of these tools offers a reliable and effective means of taxonomy classification and annotation of viral contigs, aiding researchers in gaining insight into the composition and function of the virome within the analyzed sample. By integrating the SOVAP pipeline with <strong>IMG/VR</strong> and <strong>geNomad</strong>, it is possible to identify a wider range of viruses, including those that were previously unknown. The <strong>batch-mode</strong> script allows for the processing of multiple datasets using the SOVAP pipeline. This feature is particularly useful for <strong>large-scale</strong> analyses, such as those involving multiple environmental samples or large sequencing datasets.
DOI: 10.5281/zenodo.7697520
title: Diamond NCBI Genbank Viral database for SOVAP

description: <strong>Diamond NCBI Genbank Viral database</strong> Database type: Diamond database Database format version: 3 Label: 2022-08-18_23-00-37 Sequences: 2,253,849 Sum length: 537,674,059 Assembly summary entries: 50,633 -------------------------------------------------------- <strong>SOVAP v.1.3: </strong>GitHub <strong><em>Soil Virome Analysis Pipeline</em></strong> Description The study of viral communities in complex environmental samples, such as <strong>soil</strong>, can provide valuable insights into the diversity and functions of viral communities in the ecosystem. However, processing and analyzing of virome data can be a challenging task that requires the integration of various computational tools and techniques. To address these challenges, we have developed <strong>SOVAP</strong> pipeline that utilizes a suite of state-of-the-art tools for processing, analysis, and annotation viromics and metagenomics data. It utilizes various tools such as <strong>Fastp</strong> and <strong>Centrifuge</strong> for preprocessing and contamination removal, <strong>geNomad</strong>, <strong>Diamond</strong> and <strong>Megan</strong> for identification and annotation of viral contigs which are assembled and clustered using <strong>Megahit</strong> and <strong>CD-HIT</strong>. Additionally, this pipeline provides an <strong>estimate of the abundance</strong> of viral contigs, allowing for a more comprehensive understanding of the virome within the sample. The integration of these tools offers a reliable and effective means of taxonomy classification and annotation of viral contigs, aiding researchers in gaining insight into the composition and function of the virome within the analyzed sample. By integrating the SOVAP pipeline with <strong>IMG/VR</strong> and <strong>geNomad</strong>, it is possible to identify a wider range of viruses, including those that were previously unknown. The <strong>batch-mode</strong> script allows for the processing of multiple datasets using the SOVAP pipeline. This feature is particularly useful for <strong>large-scale</strong> analyses, such as those involving multiple environmental samples or large sequencing datasets.
DOI: 10.5281/zenodo.7758200
title: Diamond NCBI Genbank Viral database for SOVAP

description: <strong>Diamond NCBI Genbank Viral database</strong> Database type: Diamond database Database format version: 3 Label: 2023-03-18_18-40-17 Sequences: 3,191,190 Sum length: 824,564,244 Assembly summary entries: 58,201 -------------------------------------------------------- <strong>SOVAP v.1.3: </strong>GitHub <strong><em>Soil Virome Analysis Pipeline</em></strong> Description The study of viral communities in complex environmental samples, such as <strong>soil</strong>, can provide valuable insights into the diversity and functions of viral communities in the ecosystem. However, processing and analyzing of virome data can be a challenging task that requires the integration of various computational tools and techniques. To address these challenges, we have developed <strong>SOVAP</strong> pipeline that utilizes a suite of state-of-the-art tools for processing, analysis, and annotation viromics and metagenomics data. It utilizes various tools such as <strong>Fastp</strong> and <strong>Centrifuge</strong> for preprocessing and contamination removal, <strong>geNomad</strong>, <strong>Diamond</strong> and <strong>Megan</strong> for identification and annotation of viral contigs which are assembled and clustered using <strong>Megahit</strong> and <strong>CD-HIT</strong>. Additionally, this pipeline provides an <strong>estimate of the abundance</strong> of viral contigs, allowing for a more comprehensive understanding of the virome within the sample. The integration of these tools offers a reliable and effective means of taxonomy classification and annotation of viral contigs, aiding researchers in gaining insight into the composition and function of the virome within the analyzed sample. By integrating the SOVAP pipeline with <strong>IMG/VR</strong> and <strong>geNomad</strong>, it is possible to identify a wider range of viruses, including those that were previously unknown. The <strong>batch-mode</strong> script allows for the processing of multiple datasets using the SOVAP pipeline. This feature is particularly useful for <strong>large-scale</strong> analyses, such as those involving multiple environmental samples or large sequencing datasets.