cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22654540
title: step length asymmetry

description: A *.csv file containing some of the data for all participants and containing the following variables: group: High Exercise (HE) or Low Exercise (LE) id: participant ID trial: this dataset only contains teh adapt trials sla: step length asymmetry, normalized RPE: rating of percieved exertion on 6 to 20 scale, taken at teh end of the adaptation trial gc_sla: step length asymmetry "group-centered" within participant (so, 0 = mean SLA for each particiapnt) c_sl: step length asymmetry "mean-centered" (so, 0 = mean SLA for the entire group)
DOI: 10.6084/m9.figshare.22654540.v2
title: step length asymmetry

description: A *.csv file containing some of the data for all participants and containing the following variables: group: High Exercise (HE) or Low Exercise (LE) id: participant ID trial: this dataset only contains teh adapt trials sla: step length asymmetry, normalized RPE: rating of percieved exertion on 6 to 20 scale, taken at teh end of the adaptation trial gc_sla: step length asymmetry "group-centered" within participant (so, 0 = mean SLA for each particiapnt) c_sl: step length asymmetry "mean-centered" (so, 0 = mean SLA for the entire group)
DOI: 10.6084/m9.figshare.22654540.v1
title: step length asymmetry

description: A *.csv file containing some of the data for all participants and containing the following variables: group: High Exercise (HE) or Low Exercise (LE) id: participant ID trial: this dataset only contains teh adapt trials sla: step length asymmetry, normalized RPE: rating of percieved exertion on 6 to 20 scale, taken at teh end of the adaptation trial gc_sla: step length asymmetry "group-centered" within participant (so, 0 = mean SLA for each particiapnt) c_sl: step length asymmetry "mean-centered" (so, 0 = mean SLA for the entire group)
DOI: 10.5281/zenodo.7847198
title: Streambank Restoration: Kenai Cost-Share Phase 5

description: Streambank Rehabilitation data collected under the AKSSF Grant. AKSSF Streambank Restoration: Kenai Cost-Share Phase 5 (53017). This data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view or policy. These are the final streambank rehabilitation and protection metrics along with the data collected for monitoring past projects for the Kenai Cost-Share - Phase 5 Project. This work was funded by the Alaska Sustainable Salmon Fund and U.S. Fish and Wildlife Service. This project was a financial incentive and educational outreach program directed towards private landowners and public land managers. The project provided technical expertise about rehabilitation practices, state and federal permitting assistance, and funding for habitat rehabilitation and protection projects along streambanks on the Kenai Peninsula, Alaska, USA.
DOI: 10.5281/zenodo.7847197
title: Streambank Restoration: Kenai Cost-Share Phase 5

description: Streambank Rehabilitation data collected under the AKSSF Grant. AKSSF Streambank Restoration: Kenai Cost-Share Phase 5 (53017). This data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view or policy. These are the final streambank rehabilitation and protection metrics along with the data collected for monitoring past projects for the Kenai Cost-Share - Phase 5 Project. This work was funded by the Alaska Sustainable Salmon Fund and U.S. Fish and Wildlife Service. This project was a financial incentive and educational outreach program directed towards private landowners and public land managers. The project provided technical expertise about rehabilitation practices, state and federal permitting assistance, and funding for habitat rehabilitation and protection projects along streambanks on the Kenai Peninsula, Alaska, USA.
DOI: 10.6073/pasta/ee8ee77c71cad7af63f08925e38ac29f
title: Interagency Ecological Program: Zooplankton and water quality data in the San Francisco Estuary collected by the Summer Townet and Fall Midwater Trawl monitoring programs.

description: The Interagency Ecological Program’s (IEP) Summer Townet Survey (STN) and Fall Midwater Trawl (FMWT) are two long-term monitoring projects conducted by the California Department of Fish and Wildlife (CDFW) to monitor fish abundance and distribution trends in the San Francisco Estuary (SFE) since 1959 and 1967, respectively. Starting in 2005, zooplankton monitoring was added and paired with fish tows to investigate food availability for young fishes. Food limitation has been a long-term issue and a focus of the Pelagic Organism Decline (POD) studies that began in 2005. By 2011, STN routinely conducted zooplankton monitoring at 40 stations, and FMWT at 32 stations in the upper SFE from Carquinez Strait to the Sacramento Deep Water Ship Channel and into the South Delta. STN samples every other week from June to August and FMWT samples once monthly from September to December. Both projects collect mesozooplankton samples using a modified Clarke-Bumpus (CB) net to target copepods and cladocerans, and FMWT also samples macrozooplankton (i.e. mysids and amphipods) using a mysid net. Flowmeters are used to measure the volume sampled to determine zooplankton catch per unit effort. Environmental variables such as water temperature, turbidity, secchi, and electrical conductivity are collected with each zooplankton sample. Concurrent fish and zooplankton tows conducted by STN and FMWT have allowed for comparisons of fish diet to the available zooplankton prey at the time of collection.
DOI: 10.34740/kaggle/ds/3154953
title: Single Layer Perceptron Dataset(Small)
DOI: 10.6084/m9.figshare.22579567.v4
title: Appendix III: Informed Consent Form & Questionnaire (Experimental Groups)

description: This is a data set for the article entitled "L2 Acquisition of <em>Wh-</em>interrogatives at the Syntax-discourse Interface: Interface Hypothesis again", by Mohammed Shormani<br> <br>
DOI: 10.6084/m9.figshare.22579567.v3
title: Appendix III: Informed Consent Form & Questionnaire (Experimental Groups)

description: This is a data set for the article entitled "L2 Acquisition of <em>Wh-</em>interrogatives at the Syntax-discourse Interface: Interface Hypothesis again"<br> <br>
DOI: 10.25921/v58p-3d09
title: EK80 Water Column Sonar Data Collected During SE2204
DOI: 10.5519/qd.y5u8sbey
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.6467468.v3
title: Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties

description: The genetic toxicology of nanomaterials is a crucial toxicology issue and one of the least investigated topics. Substantially, the genotoxicity of metal oxide nanomaterials’ data is resulting from <i>in vitro</i> comet assay. Current contributions to the genotoxicity data assessed by the comet assay provide a case-by-case evaluation of different types of metal oxides. The existing inconsistency in the literature regarding the genotoxicity testing data requires intelligent assessment strategies, such as weight of evidence evaluation. Two main tasks were performed in the present study. First, the genotoxicity data from comet assay for 16 noncoated metal oxide nanomaterials with different core composition were collected. An evaluation criterion was applied to establish which of these individual lines of evidence were of sufficient quality and what weight could have been given to them in inferring genotoxic results. The collected data were surveyed on (1) minimum necessary characterization points for nanomaterials and (2) principals of correct comet assay testing for nanomaterials. Second, in this study the genotoxicity effect of metal oxide nanomaterials was investigated by quantitative nanostructure–activity relationship approach. A set of quantum-chemical descriptors was developed for all investigated metal oxide nanomaterials. A classification model based on decision tree was developed for the investigated dataset. Thus, three descriptors were identified as the most responsible factors for genotoxicity effect: heat of formation, molecular weight, and surface area of the oxide cluster based on the conductor-like screening model. Conclusively, the proposed genotoxicity assessment strategy is useful to prioritize the study of the nanomaterials for further risk assessment evaluations.
DOI: 10.6084/m9.figshare.6467468.v2
title: Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties

description: The genetic toxicology of nanomaterials is a crucial toxicology issue and one of the least investigated topics. Substantially, the genotoxicity of metal oxide nanomaterials’ data is resulting from <i>in vitro</i> comet assay. Current contributions to the genotoxicity data assessed by the comet assay provide a case-by-case evaluation of different types of metal oxides. The existing inconsistency in the literature regarding the genotoxicity testing data requires intelligent assessment strategies, such as weight of evidence evaluation. Two main tasks were performed in the present study. First, the genotoxicity data from comet assay for 16 noncoated metal oxide nanomaterials with different core composition were collected. An evaluation criterion was applied to establish which of these individual lines of evidence were of sufficient quality and what weight could have been given to them in inferring genotoxic results. The collected data were surveyed on (1) minimum necessary characterization points for nanomaterials and (2) principals of correct comet assay testing for nanomaterials. Second, in this study the genotoxicity effect of metal oxide nanomaterials was investigated by quantitative nanostructure–activity relationship approach. A set of quantum-chemical descriptors was developed for all investigated metal oxide nanomaterials. A classification model based on decision tree was developed for the investigated dataset. Thus, three descriptors were identified as the most responsible factors for genotoxicity effect: heat of formation, molecular weight, and surface area of the oxide cluster based on the conductor-like screening model. Conclusively, the proposed genotoxicity assessment strategy is useful to prioritize the study of the nanomaterials for further risk assessment evaluations.
DOI: 10.6084/m9.figshare.6467468
title: Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties

description: The genetic toxicology of nanomaterials is a crucial toxicology issue and one of the least investigated topics. Substantially, the genotoxicity of metal oxide nanomaterials’ data is resulting from <i>in vitro</i> comet assay. Current contributions to the genotoxicity data assessed by the comet assay provide a case-by-case evaluation of different types of metal oxides. The existing inconsistency in the literature regarding the genotoxicity testing data requires intelligent assessment strategies, such as weight of evidence evaluation. Two main tasks were performed in the present study. First, the genotoxicity data from comet assay for 16 noncoated metal oxide nanomaterials with different core composition were collected. An evaluation criterion was applied to establish which of these individual lines of evidence were of sufficient quality and what weight could have been given to them in inferring genotoxic results. The collected data were surveyed on (1) minimum necessary characterization points for nanomaterials and (2) principals of correct comet assay testing for nanomaterials. Second, in this study the genotoxicity effect of metal oxide nanomaterials was investigated by quantitative nanostructure–activity relationship approach. A set of quantum-chemical descriptors was developed for all investigated metal oxide nanomaterials. A classification model based on decision tree was developed for the investigated dataset. Thus, three descriptors were identified as the most responsible factors for genotoxicity effect: heat of formation, molecular weight, and surface area of the oxide cluster based on the conductor-like screening model. Conclusively, the proposed genotoxicity assessment strategy is useful to prioritize the study of the nanomaterials for further risk assessment evaluations.
DOI: 10.35077/act-ink
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 1065913190

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 1065913190', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H20.03.310', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'44', Ageunit:'years', Sex:'Male', Genotype:'culture, enhancer AAV', OrganName:'Brain', SampleLocalID:'1065913190', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24080', Locations:'CgGr' INSTRUMENT METADATA: MicroscopeType:'Vaa3D', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.6084/m9.figshare.22579564.v3
title: Appendix II: Informed Consent Form & Questionnaire (Control Group)

description: This is a data set for the article entitled "L2 Acquisition of <em>Wh-</em>interrogatives at the Syntax-discourse Interface: Interface Hypothesis again" <br>
DOI: 10.6084/m9.figshare.22640206
title: Resultados_TICS.xlsx

description: Base de datos de palabras e iconos relacionadas con las redes sociales clasificadas según su activación, valencia y familiaridad subjetiva.
DOI: 10.6084/m9.figshare.22640206.v1
title: Resultados_TICS.xlsx

description: Base de datos de palabras e iconos relacionadas con las redes sociales clasificadas según su activación, valencia y familiaridad subjetiva.
DOI: 10.25345/c5pc2tk38
title: MassIVE MSV000091747 - chronic_hearts_ddMS2_pos_mice_raw_metadata
title: a lack of cardiac metabolic restoration in benznidazole-treated mice.
DOI: 10.34740/kaggle/dsv/5460456
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.7847279
title: IODP Expedition 396 Source rock analyzer (SRA)

description: SRA is run for the purpose of safety monitoring and yields information about thermal maturation and source of hydrocarbons, as well as petroleum potential, in the sediment or rocks at a drilled site. Samples are heated in a pyrolysis oven in an inert atmosphere to quantitatively and selectively determine free hydrocarbons contained in the sample and the hydrogen- and oxygen-containing compounds that are volatilized during the cracking of unextractable organic matter in the sample (kerogen).
DOI: 10.5281/zenodo.7847278
title: IODP Expedition 396 Source rock analyzer (SRA)

description: SRA is run for the purpose of safety monitoring and yields information about thermal maturation and source of hydrocarbons, as well as petroleum potential, in the sediment or rocks at a drilled site. Samples are heated in a pyrolysis oven in an inert atmosphere to quantitatively and selectively determine free hydrocarbons contained in the sample and the hydrogen- and oxygen-containing compounds that are volatilized during the cracking of unextractable organic matter in the sample (kerogen).
DOI: 10.5281/zenodo.7847292
title: IODP Expedition 396 Portable X-ray fluorescence (p-XRF)

description: Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
DOI: 10.5281/zenodo.7847291
title: IODP Expedition 396 Portable X-ray fluorescence (p-XRF)

description: Energy-Dispersive X-Ray Fluorescence (ED-XRF) is a rapid, non-destructive technique for determining qualitative and quantitative changes in chemical composition. Aboard the JOIDES Resolution, pXRF is used for measuring points on section halves, rock pieces, and sometimes powders. Spots are typically irradiated at multiple conditions to excite and measure a wide range of elements. The peak intensity changes (we do not provide concentrations) are then used to help recognize and define major chemo-stratigraphic units without the need for destructive sampling.
DOI: 10.6084/m9.figshare.22661335
title: Source Data from Quantitative single molecule analysis of podoplanin clustering in fibroblastic reticular cells uncovers CD44 function

description: Source data for all the main figures and supplementary figures
DOI: 10.6084/m9.figshare.22661335.v1
title: Source Data from Quantitative single molecule analysis of podoplanin clustering in fibroblastic reticular cells uncovers CD44 function

description: Source data for all the main figures and supplementary figures
DOI: 10.5281/zenodo.7847027
title: Phytosociology of the shrub-tree layer of semideciduous coastal forests in the Emerenças region, Costa do Sol State Park, Armação dos Búzios, Rio de Janeiro, Brazil – Dataset

description: The field data were collected between June 1998 and December 2000, in five sets of five 10 x 20 m plots established on different slope aspects (total of 0.5 ha). We included in the sampling 1,193 live individuals of the shrub-tree layer (DBH ≥ 5 cm), and 50 dead individuals. Here we make available the raw data of live individuals, dead individuals, and useful information on the sites and sampling plots. The description of the area and the sampling, and the phytosociological analysis are available in: Kurtz BC, Sá CFC, Silva DO. 2009. Fitossociologia do componente arbustivo-arbóreo de florestas semidecíduas costeiras da região de Emerenças, Área de Proteção Ambiental do Pau Brasil, Armação dos Búzios, Rio de Janeiro, Brasil. Rodriguésia 60(1): 129-146 (https://www.scielo.br/j/rod/a/kRB96SGyTNL8Gw3FBJjJBdJ/?format=pdf&lang=pt).
DOI: 10.5281/zenodo.7847026
title: Phytosociology of the shrub-tree layer of semideciduous coastal forests in the Emerenças region, Costa do Sol State Park, Armação dos Búzios, Rio de Janeiro, Brazil – Dataset

description: The field data were collected between June 1998 and December 2000, in five sets of five 10 x 20 m plots established on different slope aspects (total of 0.5 ha). We included in the sampling 1,193 live individuals of the shrub-tree layer (DBH ≥ 5 cm), and 50 dead individuals. Here we make available the raw data of live individuals, dead individuals, and useful information on the sites and sampling plots. The description of the area and the sampling, and the phytosociological analysis are available in: Kurtz BC, Sá CFC, Silva DO. 2009. Fitossociologia do componente arbustivo-arbóreo de florestas semidecíduas costeiras da região de Emerenças, Área de Proteção Ambiental do Pau Brasil, Armação dos Búzios, Rio de Janeiro, Brasil. Rodriguésia 60(1): 129-146 (https://www.scielo.br/j/rod/a/kRB96SGyTNL8Gw3FBJjJBdJ/?format=pdf&lang=pt).
DOI: 10.13020/kjhp-az69
title: Supporting data for "Wide-range continuous tuning of the thermal conductivity of La0.5Sr0.5CoO3−δ films via room-temperature ion-gel gating"

description: These files contain data along with associated output from instrumentation supporting all results reported in Zhang, Yingying; Postiglione, William M.; Xie, Rui; Zhang, Chi; Zhou, Hao; Chaturvedi, Vipul; Heltemes, Kei; Zhou, Hua; Feng, Tianli; Leighton, Chris; Wang, Xiaojia Wide-range continuous tuning of the thermal conductivity of La0.5Sr0.5CoO3-delta films via room-temperature ion-gel gating. Solid-state control of the thermal conductivity of materials is of exceptional interest for novel devices such as thermal diodes and switches. Here, we demonstrate the ability to continuously tune the thermal conductivity of nanoscale films of La0.5Sr0.5CoO3-delta (LSCO) by a factor of over 5, via a room-temperature electrolyte-gate-induced non-volatile topotactic phase transformation from perovskite (with  ≈ 0.1) to an oxygen-vacancy-ordered brownmillerite phase (with  = 0.5), accompanied by a metal-insulator transition. Combining time-domain thermoreflectance and electronic transport measurements, model analyses based on molecular dynamics and Boltzmann transport, and structural characterization by X-ray diffraction, we uncover and deconvolve the effects of these transitions on heat carriers, including electrons and lattice vibrations. The wide-range continuous tunability of LSCO thermal conductivity enabled by low-voltage (below 4 V) room-temperature electrolyte gating opens the door to non-volatile dynamic control of thermal transport in perovskite-based functional materials, for thermal regulation and management in device applications. Authors to whom correspondence should be addressed are Chris Leighton (leighton@umn.edu) and Xiaojia Wang (wang4940@umn.edu).
description: The Excel file contains the data corresponding to the figures in the main paper and SI.