cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1349621.08fu
title: SH1349621.08FU

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: 10.15156/bio/sh2029845.08fu
title: SH2029845.08FU

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: 10.6084/m9.figshare.862941
title: Protection of human health in cosmetics law

description: The right to health in international human rights law is one of the main, basic right of the<br>first generation. Intensive advancement in the cosmetic industry may cause some violations of<br>those human right. In the opinion of the author’s of article broadly understood right to health<br>in the perspective of production of mixtures and substances which allow cleaning, perfuming,<br>changing the appearance, protecting and keeping in good condition may be new and innovative<br>look on the sectorial, branch legal regulations, that serve the good of consumers, producers and<br>distributors of cosmetics.<br>Purpose of this research is to specify general regulations, instruments and structures which<br>build consumer safety in that wide area and to indicate threats, and possible violations, on<br>which they counteract.
DOI: 10.6084/m9.figshare.862941.v1
title: Protection of human health in cosmetics law

description: The right to health in international human rights law is one of the main, basic right of the<br>first generation. Intensive advancement in the cosmetic industry may cause some violations of<br>those human right. In the opinion of the author’s of article broadly understood right to health<br>in the perspective of production of mixtures and substances which allow cleaning, perfuming,<br>changing the appearance, protecting and keeping in good condition may be new and innovative<br>look on the sectorial, branch legal regulations, that serve the good of consumers, producers and<br>distributors of cosmetics.<br>Purpose of this research is to specify general regulations, instruments and structures which<br>build consumer safety in that wide area and to indicate threats, and possible violations, on<br>which they counteract.
DOI: 10.6084/m9.figshare.862938
title: Waves affect the escape response of juvenile coral reef fish

description: Data set for Roche (submitted) Waves affect the escape response of juvenile coral reef fish Abbreviations for colum headers in .xlsx file. Data are organized according to figures in the ms. For any questions about the data, or if you find errors, please contact dominique.roche@mail.mcgill.ca Abstract 1. Fish often escape from predators with a burst of speed (fast-start responses). In laboratory studies, these responses are always measured in stationary water. However, water motion due to waves and currents is ubiquitous in many aquatic systems. 2. In shallow marine habitats, wave action creates unsteady water motion that varies spatially and temporally. This likely affects the ability of fish to escape, especially when they are small. Since body depth is thought to improve postural control and stability, I examined how wave-driven water flow affects the escape response of juvenile coral reef fish in three species of Pomacentridae with different body morphologies. 3. Escape responses were elicited under static or unsteady flow conditions. In unsteady flow, all fish covered a greater distance and reached a higher speed and acceleration when escaping in the direction of the water flow. However, compared to static flow, unsteady flow had no detectable effect on maximum escape performance. 4. Fish took longer to respond to the stimulus in unsteady compared to static flow. This effect differed between species. The fusiform-shaped species responded more slowly in unsteady than in static flow. This difference was less pronounced in the species with an intermediate body depth and absent in the species with a deep body. The deep-bodied species also tended to orient itself more directly into the water flow and was less displaced by water motion. 5. Response latency is a major determinant of escape success, so postural disturbances from unsteady water motion might reduce the ability of some fishes to evade predators during juvenile settlement. This could have important implications for the distribution, abundance and recruitment of reef fishes across spatial and temporal scales.
DOI: 10.6084/m9.figshare.862922
title: Gaussian Job Archive for CsF3(2+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.862938.v2
title: Waves affect the escape response of juvenile coral reef fish

description: Data set for Roche (submitted) Waves affect the escape response of juvenile coral reef fish 1. Fish often escape from predators with a burst of speed (fast-start responses). In laboratory studies, these responses are always measured in stationary water. However, water motion due to waves and currents is ubiquitous in many aquatic systems. 2. In shallow marine habitats, wave action creates unsteady water motion that varies spatially and temporally. This likely affects the ability of fish to escape, especially when they are small. Since body depth is thought to improve postural control and stability, I examined how wave-driven water flow affects the escape response of juvenile coral reef fish in three species of Pomacentridae with different body morphologies. 3. Escape responses were elicited under static or unsteady flow conditions. In unsteady flow, all fish covered a greater distance and reached a higher speed and acceleration when escaping in the direction of the water flow. However, compared to static flow, unsteady flow had no detectable effect on maximum escape performance. 4. Fish took longer to respond to the stimulus in unsteady compared to static flow. This effect differed between species. The fusiform-shaped species responded more slowly in unsteady than in static flow. This difference was less pronounced in the species with an intermediate body depth and absent in the species with a deep body. The deep-bodied species also tended to orient itself more directly into the water flow and was less displaced by water motion. 5. Response latency is a major determinant of escape success, so postural disturbances from unsteady water motion might reduce the ability of some fishes to evade predators during juvenile settlement. This could have important implications for the distribution, abundance and recruitment of reef fishes across spatial and temporal scales.
DOI: 10.6084/m9.figshare.862922.v1
title: Gaussian Job Archive for CsF3(2+)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.862938.v4
title: Waves affect the escape response of juvenile coral reef fish

description: Data set for Roche (submitted) Waves affect the escape response of juvenile coral reef fish Abbreviations for colum headers in .xlsx file. Data are organized according to figures in the ms. For any questions about the data, or if you find errors, please contact dominique.roche@mail.mcgill.ca Abstract 1. Fish often escape from predators with a burst of speed (fast-start responses). In laboratory studies, these responses are always measured in stationary water. However, water motion due to waves and currents is ubiquitous in many aquatic systems. 2. In shallow marine habitats, wave action creates unsteady water motion that varies spatially and temporally. This likely affects the ability of fish to escape, especially when they are small. Since body depth is thought to improve postural control and stability, I examined how wave-driven water flow affects the escape response of juvenile coral reef fish in three species of Pomacentridae with different body morphologies. 3. Escape responses were elicited under static or unsteady flow conditions. In unsteady flow, all fish covered a greater distance and reached a higher speed and acceleration when escaping in the direction of the water flow. However, compared to static flow, unsteady flow had no detectable effect on maximum escape performance. 4. Fish took longer to respond to the stimulus in unsteady compared to static flow. This effect differed between species. The fusiform-shaped species responded more slowly in unsteady than in static flow. This difference was less pronounced in the species with an intermediate body depth and absent in the species with a deep body. The deep-bodied species also tended to orient itself more directly into the water flow and was less displaced by water motion. 5. Response latency is a major determinant of escape success, so postural disturbances from unsteady water motion might reduce the ability of some fishes to evade predators during juvenile settlement. This could have important implications for the distribution, abundance and recruitment of reef fishes across spatial and temporal scales.
DOI: 10.6084/m9.figshare.862921
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.862938.v3
title: Waves affect the escape response of juvenile coral reef fish

description: Data set for Roche (submitted) Waves affect the escape response of juvenile coral reef fish 1. Fish often escape from predators with a burst of speed (fast-start responses). In laboratory studies, these responses are always measured in stationary water. However, water motion due to waves and currents is ubiquitous in many aquatic systems. 2. In shallow marine habitats, wave action creates unsteady water motion that varies spatially and temporally. This likely affects the ability of fish to escape, especially when they are small. Since body depth is thought to improve postural control and stability, I examined how wave-driven water flow affects the escape response of juvenile coral reef fish in three species of Pomacentridae with different body morphologies. 3. Escape responses were elicited under static or unsteady flow conditions. In unsteady flow, all fish covered a greater distance and reached a higher speed and acceleration when escaping in the direction of the water flow. However, compared to static flow, unsteady flow had no detectable effect on maximum escape performance. 4. Fish took longer to respond to the stimulus in unsteady compared to static flow. This effect differed between species. The fusiform-shaped species responded more slowly in unsteady than in static flow. This difference was less pronounced in the species with an intermediate body depth and absent in the species with a deep body. The deep-bodied species also tended to orient itself more directly into the water flow and was less displaced by water motion. 5. Response latency is a major determinant of escape success, so postural disturbances from unsteady water motion might reduce the ability of some fishes to evade predators during juvenile settlement. This could have important implications for the distribution, abundance and recruitment of reef fishes across spatial and temporal scales.
DOI: 10.6084/m9.figshare.862921.v1
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.862068
title: Floral Biodiversity of the Casa Grande Mountains in the Sonoran Desert, Arizona

description: Data were developed by transits of line transects laid across Casa Grande Mountain Park. Student authors (all except last author) collected the data but were unable to finalize a publication before the deadline. All transects were transited twice except Peart Canyon due to a technical error. Data are totals and not averages. Transect names correspond to the following locations and directions:<br>Arizona City: 32° 47'18.665" -111° 41'57.401" 1,524ft., NW-trending transect. Arica Road: 32° 48'23.274" -111° 41'57.016" 1,571 ft., NW-trending transect. Hanna Road: 32° 49'16.51" -111° 43'33.034" 1,571 ft., ESE-trending transect. Henness Road: 32° 49'56.172" -111° 42'39.967" 1,470 ft., S-trending transect. Peart Canyon: 32° 49'51.628" -111° 43'2.755" 1,554 ft., S-trending transect.
DOI: 10.6084/m9.figshare.862068.v1
title: Floral Biodiversity of the Casa Grande Mountains in the Sonoran Desert, Arizona

description: Data were developed by transits of line transects laid across Casa Grande Mountain Park. Student authors (all except last author) collected the data but were unable to finalize a publication before the deadline. All transects were transited twice except Peart Canyon due to a technical error. Data are totals and not averages. Transect names correspond to the following locations and directions:<br>Arizona City: 32° 47'18.665" -111° 41'57.401" 1,524ft., NW-trending transect. Arica Road: 32° 48'23.274" -111° 41'57.016" 1,571 ft., NW-trending transect. Hanna Road: 32° 49'16.51" -111° 43'33.034" 1,571 ft., ESE-trending transect. Henness Road: 32° 49'56.172" -111° 42'39.967" 1,470 ft., S-trending transect. Peart Canyon: 32° 49'51.628" -111° 43'2.755" 1,554 ft., S-trending transect.
DOI: 10.6084/m9.figshare.861980
title: Alberta grassland plant data

description: Leaf and root traits and abundances and phylogeny for 76 grassland plant species from Alberta, Canada. Data set and collection methods are described in: <strong>S.W. Kembel and J.F. Cahill, Jr. 2011. Independent evolution of leaf and root traits within and among temperate grassland plant communities. PLoS ONE 6(6): e19992.</strong> <strong>File descriptions</strong> <strong>community.traits.csv</strong><br>- Each row represents abundance and traits measured for a species in a 20x20m sample plot. Traits should be log10-transformed prior to analysis. There are a few missing data points. Traits were measured on mature healthy leaves and on fine roots (&lt;2mm diameter) taken from representative individuals in each plot.<br>-abund: the abundance of each species in the plot. Abundance is an estimate of the percent cover of the species in the plot (0-100%) to the nearest 10%. Abundance was measured by noting presence of species in 10 quadrats placed within the plot.<br>-SLA: specific leaf area<br>-LeafArea: one-sided projected leaf area<br>-LeafThickness: leaf laminar thickness<br>-LeafTissueDens: leaf tissue density<br>-SRL: specific root length<br>-RootTissueDens: root tissue density<br>-RootDiam: average root diameter <strong>plot.metadata.csv</strong><br>- Plot-level metadata on habitat and site plus plot aspect/slope. <strong>species.phylogeny.txt</strong><br>- Species-level phylogeny with branch lengths proportional to estimated clade age. Tree backbone based on Davies et al. angiosperm phylogeny, within-family relationships resolved by hand using references cited in Kembel and Cahill 2011.
DOI: 10.6084/m9.figshare.861980.v2
title: Alberta grassland plant data

description: Leaf and root traits and abundances and phylogeny for 76 grassland plant species from Alberta, Canada. Data set and collection methods are described in: <strong>S.W. Kembel and J.F. Cahill, Jr. 2011. Independent evolution of leaf and root traits within and among temperate grassland plant communities. PLoS ONE 6(6): e19992.</strong> <strong>File descriptions</strong> <strong>community.traits.csv</strong><br>- Each row represents abundance and traits measured for a species in a 20x20m sample plot. Traits should be log10-transformed prior to analysis. There are a few missing data points. Traits were measured on mature healthy leaves and on fine roots (&lt;2mm diameter) taken from representative individuals in each plot.<br>-abund: the abundance of each species in the plot. Abundance is an estimate of the percent cover of the species in the plot (0-100%) to the nearest 10%. Abundance was measured by noting presence of species in 10 quadrats placed within the plot.<br>-SLA: specific leaf area<br>-LeafArea: one-sided projected leaf area<br>-LeafThickness: leaf laminar thickness<br>-LeafTissueDens: leaf tissue density<br>-SRL: specific root length<br>-RootTissueDens: root tissue density<br>-RootDiam: average root diameter <strong>plot.metadata.csv</strong><br>- Plot-level metadata on habitat and site plus plot aspect/slope. <strong>species.phylogeny.txt</strong><br>- Species-level phylogeny with branch lengths proportional to estimated clade age. Tree backbone based on Davies et al. angiosperm phylogeny, within-family relationships resolved by hand using references cited in Kembel and Cahill 2011.
DOI: 10.6084/m9.figshare.861154
title: Molecular characterisation of the sheep duplicate GH gene

description: Here we provide the .info file for the Haploview analysis of the sheep GH gene.
DOI: 10.6084/m9.figshare.861155
title: B Salhia et al Array-Based Comparative Genomic Hybridization (aCGH) Metadata Spreadsheet for Breast Brain Metastasis

description: Array-Based Comparative Genomic Hybridization (aCGH) using the Agilent SurePrint G3 Human CGH Microarray Kit, 1x1M for 15 Breast Brain Metastasis samples.
DOI: 10.6084/m9.figshare.861138
title: tuftIB cell , dendritic input - Neuron version

description: Trying to reproduce fig A4C from Traub et al 2005 no aditional current to soma current to apical dendrite: EPSP I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) plotted in tufuIB_Neuron.png CaBurst: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) we didn't get the somatic spike like in article tuftIB_Neuron_voltage.png (green voltage in apical dendrite, black in basal dendite, red in soma) look also at : http://figshare.com/articles/tuftIB_cell_dendritic_input_Fortran_version/861124
DOI: 10.6084/m9.figshare.861153
title: tuftIB cell , dendritic input + somatic current 0.5 nA - Neuron version

description: Trying to reproduce fig A4C from Traub et al 2005 aditional current 0.5 nA to soma current to apical dendrite: EPSP I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) EPSP_curr.dat no somatic burst - EPSP.dat CaBurst: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) Ca_burst_curr.dat no somatic burst CaBurst.dat (green voltage in apical dendrite, black in basal dendite, red in soma)
DOI: 10.6084/m9.figshare.861154.v1
title: Molecular characterisation of the sheep duplicate GH gene

description: Here we provide the .info file for the Haploview analysis of the sheep GH gene.
DOI: 10.6084/m9.figshare.861145
title: tuftIB cell , dendritic input + somatic current 1 nA - Neuron version

description: Trying to reproduce fig A4C from Traub et al 2005 aditional current 1nA to soma current to apical dendrite: EPSP I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) EPSP_curr.dat no somatic burst - EPSP.dat CaBurst: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) Ca_burst_curr.dat we got somatic burst! CaBurst.dat (green voltage in apical dendrite, black in basal dendite, red in soma)
DOI: 10.6084/m9.figshare.861153.v1
title: tuftIB cell , dendritic input + somatic current 0.5 nA - Neuron version

description: Trying to reproduce fig A4C from Traub et al 2005 aditional current 0.5 nA to soma current to apical dendrite: EPSP I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) EPSP_curr.dat no somatic burst - EPSP.dat CaBurst: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) Ca_burst_curr.dat no somatic burst CaBurst.dat (green voltage in apical dendrite, black in basal dendite, red in soma)
DOI: 10.6084/m9.figshare.861155.v2
title: B Salhia et al Array-Based Comparative Genomic Hybridization (aCGH) Metadata Spreadsheet for Breast Brain Metastasis

description: Array-Based Comparative Genomic Hybridization (aCGH) using the Agilent SurePrint G3 Human CGH Microarray Kit, 1x1M for 15 Breast Brain Metastasis samples.
DOI: 10.6084/m9.figshare.861133
title: tuftIB cell , dendritic input + somatic input 1 nA - Fortran version

description: Compare with A4C from Traub et al 2005 and http://figshare.com/articles/tuftIB_cell_dendritic_input_Fortran_version/861124 and http://figshare.com/articles/tuftIB_cell_strong_dendritic_input_additional_somatick_input_Fortran_version/861127 and http://figshare.com/articles/tuftIB_cell_strong_dendritic_input_small_somatic_input_Fortran_version/861130 just aditional current to soma 1 nA didn't caused somatick spike dendritic current : I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20))
DOI: 10.6084/m9.figshare.861145.v1
title: tuftIB cell , dendritic input + somatic current 1 nA - Neuron version

description: Trying to reproduce fig A4C from Traub et al 2005 aditional current 1nA to soma current to apical dendrite: EPSP I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) EPSP_curr.dat no somatic burst - EPSP.dat CaBurst: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) Ca_burst_curr.dat we got somatic burst! CaBurst.dat (green voltage in apical dendrite, black in basal dendite, red in soma)
DOI: 10.6084/m9.figshare.861155.v1
title: B Salhia et al Array-Based Comparative Genomic Hybridization (aCGH) Metadata Spreadsheet for Breast Brain Metastasis

description: Array-Based Comparative Genomic Hybridization (aCGH) using the Agilent SurePrint G3 Human CGH Microarray Kit, 1x1M for 15 Breast Brain Metastasis samples
DOI: 10.6084/m9.figshare.861124
title: tuftIB cell , dendritic input - Fortran version

description: Trying to reproduce A4C from Traub et al 2005 no aditional current to soma current to apical dendrite: I =3* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) we didn't get the somatic spike like in article
DOI: 10.6084/m9.figshare.861127
title: tuftIB cell , strong dendritic input + additional somatic input - Fortran version

description: Compare with A4C from Traub et al 2005 and http://figshare.com/articles/tuftIB_cell_dendritic_input_Fortran_version/861124 aditional current to soma 1 na and 3 times stronger current to apical dendrite: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) caused somatick spike
DOI: 10.6084/m9.figshare.861130
title: tuftIB cell , strong dendritic input + small somatic input - Fortran version

description: Compare with A4C from Traub et al 2005 and http://figshare.com/articles/tuftIB_cell_dendritic_input_Fortran_version/861124 and http://figshare.com/articles/tuftIB_cell_strong_dendritic_input_additional_somatick_input_Fortran_version/861127 aditional current to soma 0.5 nA and 3 times stronger current to apical dendrite: I =9* (1-exp((t0 - t)/10)) * (exp((t0-t)/20)) didn't caused somatick spike