cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21842435.v1
title: ICF-linking and psychometric properties of upper extremity mobility outcome measures in spinal cord injury – a scoping review

description: The purpose of this study was to explore the outcome measures used in upper extremity rehabilitation and research in spinal cord injury and to investigate their psychometry. Scoping review. PubMed, the Cochrane library, PEDro, Medline (Ovid). The search process and study selection was carried out as follows: Firstly, a systematic search was carried out for articles on upper extremity rehabilitation after SCI. Performance or observational outcome measures which were designed for a clinical setting were collected from selected studies. Secondly, eligible outcome measures were linked to the ICF. The ICF-linked outcome measures were further screened for inclusion according to how comprehensively they covered ICF categories. Finally, a search of the selected outcome measures was performed to investigate their psychometry. A total of four outcome measures and nine psychometric studies were selected for the scoping review; six studies addressed GRASSP, one addressed AuSpinal, one addressed SHFT and one addressed TRI-HFT. Of the 13 COSMIN measurement properties, studies of GRASSP covered seven, AuSpinal covered five and both SHFT and TRI-HFT covered three properties. The psychometric properties of GRASSP were most extensively studied showing eligible reliability and validity. Although there are still some measurement properties to be explored, GRASSP can be recommended for use in the evaluation of upper extremity mobility in the SCI rehabilitation and research. More research is needed on the psychometrics of other outcome measures in people with spinal cord injuries before the outcome measures can be unconditionally recommended.
DOI: 10.34740/kaggle/dsv/7680777
title: Full TMDB Movies Dataset 2024 (985K Movies)
DOI: 10.5066/p13mj9ff
title: Water velocity profile measurements in River Raisin near Monroe, Michigan, August 17-September 13, 2023

description: These data were collected by a SonTek Argonaut-XR 3000-MHz 3D acoustic Doppler current meter (ADCM) that was mounted on an approximately 75-pound mounting plate. The ADCM was deployed on the bottom of River Raisin at approximately 41.899978°N, -83.353548°E and took measurements from August 17-September 13, 2023. These data were collected in cooperation with U.S. Environmental Protection Agency (USEPA), to provide them with data that may help them better understand water velocities caused by river currents, ship traffic, or anything else that could cause the erosion of a 'cap' installed on the river bed that was designed to prevent the dispersion of contaminated soil. In reviewing the data it was noticed that on September 6, 2023 between 12:10 and 12:15 UTC, after being relatively stable, the ADCM's heading, pitch, and roll changed by approximately 121°, 60°, and 21°, respectively. Velocity and velocity related statistics and measurements were erroneous after this event.
DOI: 10.34740/kaggle/dsv/7680785
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/7680799
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7680867
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.25270090
title: Dataset - Resisting normative sexual subjectivities: A discourse analysis of how feminist alternative media re-shape constructions of women’s sexual desire

description: Mainstream media representations of women’s sexual desire typically limit possibilities for sexual agency and embodied pleasure. This occurs when they foreground the importance of men’s sexual gratification, prioritise heteronormativity, exclude diverse identities and bodies, and frame women’s desire as an individualised project of the self. What is not known, is if feminist alternative media disrupt and resist these normative constructions of women’s sexual desire, how they might do so, and with what possibilities for readers’ agentic sexual subjectivity construction. Addressing these questions, a discourse analysis was performed on 55 online articles from self-identified feminist, alternative publications examining how women’s sexual desire was constructed within them. We identified two dominant constructions of desire: desire as diverse, and desire as political. The former speaks to a significantly expanded understanding of who can be sexually desiring, and how, in comparison to  mainstream media. The latter refers to a reframing of desire away from a purely embodied individual experience, to a tool for collective liberation and social change. We argue that texts in this alternative feminist media space have promising potential in broadening possibilities for women’s sexual agency, but are limited in the reproduction of neoliberal discourses of individual self-work and self-improvement.<br>
DOI: 10.6084/m9.figshare.25264552.v2
title: mpfc_bigwig

description: UCSC track hub for mouse pfc
DOI: 10.5066/p9dju6bv
title: Geospatial representations of salinity monitoring site and bay and estuary group boundaries in the Gulf of Mexico

description: The polygon datasets were created to assist in visualizing the results of salinity modeling in Gulf of Mexico estuaries and bays. Statistical algorithms (Asquith and others, 2023) were developed to predict daily salinities for 91 salinity monitoring sites (Rodgers and Swarzenski, 2019) operated by 7 agencies in near coastal United States waters of the Gulf of Mexico. These monitoring sites are assigned to 15 salinity groups roughly corresponding to distinct bays and estuaries. The statistical algorithms facilitate the study of trends and drivers of salinity in near coastal waters. The groups polygon dataset consists of 15 polygons representing the outer boundary or hull of each of the 15 salinity groups. The sites polygon dataset consists of 91 polygons?one polygon per salinity monitoring site. The polygons were created using the Watershed Boundary Dataset, the National Hydrography Dataset, and aerial imagery. A detailed description of the polygon creation method is in the metadata processing steps. Creation of the polygons was motivated by a need to construct visual cues (maps and map animations) for testing the veracity of the statistical algorithms. The polygon datasets described are suitable for visualizing broad trends and patterns in predicted daily salinity. These polygon datasets are not suitable for use in mass balance computations within a salinity group or for the broader near-coastal regions of the Gulf of Mexico and are not suitable as a basis for hydrodynamic or other process-based modeling. This data release includes three attached files: (1) metadata .xml file, (2) .zip file containing shapefile of the 91 salinity site polygons, and (3) .zip file containing shapefile of the 15 salinity group polygons.
DOI: 10.5066/p9f162a0
title: Imputed daily salinity and associated covariates to support statistical modeling for 91 salinity monitoring sites in the northern Gulf of Mexico

description: Imputed salinities from either salinity or specific conductance observations and covariate data in data structures deemed suitable for statistical modeling of salinity in near-coastal environments of the northern Gulf of Mexico are provided for 15 salinity groups. The data herein were created by the 'covardr2formodel.R' script of 'covESTUSAL software' (Asquith and others, 2023), which represents terminal decisions on variable setup and transformations. The design ideal is data downloaded from this data release would be used in some path of “input” within statistical modeling software. Copious documentation of the decision process for data assembly is provided by Asquith and others (2023).
DOI: 10.5066/p9g2mfrx
title: Compilation of estuarine salinity data for sites used in RESTORE Streamflow alteration assessments (ver. 2.0, May 2021)

description: The presence of salinity in shallow waters influences living resources and habitats within Gulf of Mexico estuaries. The salinity gradient is widely recognized as foundational in maintaining biological diversity and productivity of estuaries. A clear understanding of the factors controlling salinity and its variability in estuarine surface waters is essential for proper stewardship and for sustaining ecological structure and function. Salinity data are collected by numerous Federal, State, and local agencies and universities as part of routine data-collection programs. The U.S. Geological Survey compiled salinity data from existing online databases – all water samples were collected in Gulf of Mexico estuaries. The primary criterion for data from a station to be included in the compilation was a lengthy record of continuous collection using a data sonde programmed to at least hourly intervals. Stations that represented full estuarine gradients, from fresh to saline, were prioritized. Data were compiled from salinity stations in the five Gulf states and combined into one .txt file and one .feather file. Continuous data collection of salinity concentrations began at a few stations in the mid-1980s, and the number of stations with data sondes has increased over time for a total of 532,076 observations at 92 stations provided in this data release.
DOI: 10.34740/kaggle/dsv/7680979
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.34740/kaggle/dsv/7680986
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.5066/p1mjqrmy
title: Cenozoic Foraminiferal Collections of Weldon Rau in Oregon and Washington, USA

description: The original compilation of this data is in Rau (2004) (https://www.dnr.wa.gov/Publications/ger_dr4_pacific_nw_foram_collections.zip), where most samples are located by Township, Range, and Section relative to the Public Land Survey System. For this database, Snavely's original field sheets and notebooks were used to calculate latitude and longitude of the samples and the results were combined with Rau (2004) to produce a geodatabase in ArcGIS. Latitude and longitude are reported in the North American Datum of 1927, however the point feature class has been reprojected to the North American Datum of 1983 UTM zone 10N. The database includes information on 3,418 foraminiferal samples mostly gathered from outcrops during field work for geologic mapping, although there are also samples from exploration wells (both onshore and offshore) and some auger holes. Because this is a legacy database that was created from historic field sheets and field notes, it contains data gaps labeled as null values, including a few samples with no location data, which are included for completeness. Unlocated samples do not have a latitude and longitude because the location on a field sheet could not be determined.
DOI: 10.6084/m9.figshare.25270216
title: Supplementary Data

description: Data for cell shape descriptors
DOI: 10.6084/m9.figshare.25270216.v1
title: Supplementary Data

description: Data for cell shape descriptors
DOI: 10.6084/m9.figshare.25270141.v1
title: Psychiatric Morbidity among People with AHL. DATA.sav

description: This study determined the prevalence of psychiatric morbidity among persons with AHL and people without AHL in tertiary health facilities in Lagos State.
DOI: 10.6073/pasta/d504ccab649ce0c97bff343ef091d974
title: SEV-LTER quadrat plant species biomass all sites and experiments

description: This dataset includes estimated plant aboveground live biomass data measured in 1 m x 1 m quadrats at several sites and experiments under the Sevilleta LTER program. Quadrat locations span four distinct ecosystems and their ecotones: creosotebush dominated Chihuahuan Desert shrubland (est. winter 1999), black grama-dominated Chihuahuan Desert grassland (est. winter 1999), blue grama-dominated Plains grassland (est. winter 2002), and pinon-juniper woodland (est. winter 2003). Data on plant cover and height for each plant species are collected per individual plant or patch (for clonal plants) within 1 m x 1 m quadrats. These data inform population dynamics of foundational and rare plant species. Biomass is estimated using plant allometries from non-destructive measurements of plant cover and height, and can be used to calculate net primary production (NPP), a fundamental ecosystem variable that quantifies rates of carbon consumption and fixation. Estimates of plant species cover, total plant biomass, or NPP can inform understanding of biodiversity, species composition, and energy flow at the community scale of biological organization, as well as spatial and temporal responses of plants to a range of ecological processes and direct experimental manipulations. The cover and height of individual plants or patches are sampled twice yearly (spring and fall) in permanent 1m x 1m plots within each site or experiment. This dataset includes core site monitoring data (CORE, GRIDS, ISOWEB, TOWER), observations in response to wildfire (BURN), and experimental treatments of extreme drought and delayed monsoon rainfall (EDGE), physical disturbance to biological soil crusts on the soil surface (CRUST), interannual variability in precipitation (MEANVAR), intra-annual variability via additions of monsoon rainfall (MRME), additions of nitrogen as ammonium nitrate (FERTILIZER), additions of nitrogen x phosphorus x potassium (NutNet), and interacting effects of nighttime warming, nitrogen addition, and El Niño winter rainfall (WENNDEx). To build allometric equations that relate biomass to plant cover or volume, the dataset "SEV-LTER quadrat plant cover and height data all sites and experiments" is used with a separate dataset of selectively harvested plant species "SEV-LTER Plant species mass data for allometry." Together, these datasets produced “SEV-LTER quadrat plant species biomass all sites and experiments” using the scripts posted with the allometry dataset. Data from the CORE sites in this dataset were designated as NA-US-011 in the Global Index of Vegetation-Plot Databases (GIVD). Data from the TOWER sites in this dataset are linked to Ameriflux sites: ameriflux.lbl.gov/doi/AmeriFlux/US-Seg and ameriflux.lbl.gov/sites/siteinfo/US-Ses.
DOI: 10.6084/m9.figshare.25270231.v1
title: flow_validacion.xlsx

description: This data corresponds to the validation of two Flow2 sensors prior to conducting experimental measurements.
DOI: 10.6084/m9.figshare.25270231
title: flow_validacion.xlsx

description: This data corresponds to the validation of two Flow2 sensors prior to conducting experimental measurements.
DOI: 10.5281/zenodo.10694699
title: STEM Subcortical Atlas
DOI: 10.5281/zenodo.10694698
title: STEM Subcortical Atlas
DOI: 10.5281/zenodo.10572012
title: LC-HRMS data sets of photoreactive microplastics-derived dissolved organic carbon

description: This repository contains data files available as the supporting information to the following manuscript: 

Albergamo, V.; Wohlleben, W.; Plata, D. L. Tracking Dynamic Chemical Reactivity Networks with High-Resolution Mass Spectrometry: A Case of Microplastic-Derived Dissolved Organic Carbon. Environ. Sci. Technol. 2024. https://doi.org/10.1021/acs.est.3c08134.

Content details:

Machine-readable metadata of the plausible parent—child pairs and all network nodes are provided as tab-delimited text files.

Table S-9.1 and Table S-9.2 include details of all parent—child pairs characterized in TPU_Ester and TPU_Ether, respectively. Data from these tables can be fed to a network analysis algorithm of choice to reproduce the results of the present study. Here, each row represents a unique photoreaction. The following metadata are provided in the table columns (names are self-explanatory): reaction type (either scission o cross-linking), parent m/z (monoisotopic mass of the [M+H]+ ion) and RT values, parent neutral formula, parent formula error (ppm); child m/z (monoisotopic mass of the [M+H]+ ion) and RT values, child neutral formula, child formula error (ppm); pair m/z difference, pair formula difference, reaction error (i.e., the deviation in ppm between the theoretical and measured change in m/z between the parent-child formula), pair MS2 similarity and number of common MS2 fragments.

Table S-9.3 and Table S-9.4 include details of all nodes (i.e., all features considered for molecular network analysis) of TPU_Ester and TPU_Ether, respectively. Each row corresponds to a unique network node. The following metadata are provided in the columns (names are self-explanatory): m/z (monoisotopic mass of the [M+H]+ ion) and RT values, assigned neutral formula, formula mass error (ppm), trend under photo-oxidative conditions, and degree of network centrality (expressed as number of edges). Metadata such as m/z values and formulas can be subset and readily used for suspect screening efforts.
DOI: 10.5281/zenodo.10572013
title: LC-HRMS data sets of photoreactive microplastics-derived dissolved organic carbon

description: This repository contains data files available as the supporting information to the following manuscript: 

Albergamo, V.; Wohlleben, W.; Plata, D. L. Tracking Dynamic Chemical Reactivity Networks with High-Resolution Mass Spectrometry: A Case of Microplastic-Derived Dissolved Organic Carbon. Environ. Sci. Technol. 2024. https://doi.org/10.1021/acs.est.3c08134.

Content details:

Machine-readable metadata of the plausible parent—child pairs and all network nodes are provided as tab-delimited text files.

Table S-9.1 and Table S-9.2 include details of all parent—child pairs characterized in TPU_Ester and TPU_Ether, respectively. Data from these tables can be fed to a network analysis algorithm of choice to reproduce the results of the present study. Here, each row represents a unique photoreaction. The following metadata are provided in the table columns (names are self-explanatory): reaction type (either scission o cross-linking), parent m/z (monoisotopic mass of the [M+H]+ ion) and RT values, parent neutral formula, parent formula error (ppm); child m/z (monoisotopic mass of the [M+H]+ ion) and RT values, child neutral formula, child formula error (ppm); pair m/z difference, pair formula difference, reaction error (i.e., the deviation in ppm between the theoretical and measured change in m/z between the parent-child formula), pair MS2 similarity and number of common MS2 fragments.

Table S-9.3 and Table S-9.4 include details of all nodes (i.e., all features considered for molecular network analysis) of TPU_Ester and TPU_Ether, respectively. Each row corresponds to a unique network node. The following metadata are provided in the columns (names are self-explanatory): m/z (monoisotopic mass of the [M+H]+ ion) and RT values, assigned neutral formula, formula mass error (ppm), trend under photo-oxidative conditions, and degree of network centrality (expressed as number of edges). Metadata such as m/z values and formulas can be subset and readily used for suspect screening efforts.
DOI: 10.5281/zenodo.8429026
title: chewBBACA: step-by-step tutorial

description: This dataset includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas. The source code is available on GitHub.
DOI: 10.5281/zenodo.7129300
title: chewBBACA: step-by-step tutorial

description: This datasets includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas. The source code is available on GitHub.
DOI: 10.5281/zenodo.7529470
title: chewBBACA: step-by-step tutorial

description: This datasets includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas. The source code is available on GitHub.
DOI: 10.5281/zenodo.10694715
title: chewBBACA: step-by-step tutorial

description: This dataset includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas.


The source code is available on GitHub.
DOI: 10.5281/zenodo.7457513
title: chewBBACA: step-by-step tutorial

description: This datasets includes the datasets and results for the step-by-step tutorial of the chewBBACA software. chewBBACA is a comprehensive pipeline including a set of functions for the creation and validation of whole genome and core genome MultiLocus Sequence Typing (wg/cgMLST) schemas. The source code is available on GitHub.
DOI: 10.6084/m9.figshare.22094258
title: Climate, as well as branch-level processes, drive canopy soil abundance and chemistry

description: Data and statistical code for the following article:Murray, J., Smith, A. P., Simpson, M., Elizondo, K. M., Aitkenhead-Peterson, J. A., & Waring, B. (2023). Climate, as well as branch-level processes, drive canopy soil abundance and chemistry. <i>Geoderma</i>, <i>438</i>, 116609 https://doi.org/10.1016/j.geoderma.2023.116609<br><b>Climate, as well as branch-level processes, drive canopy soil abundance and chemistry</b>Authors: Jessica Murray, A. Peyton Smith, Myrna Simpson, Keylor Muñoz-Elizondo, Jacqueline A. Aitkenhead-Peterson, Bonnie Waring<br><br><b>Abstract</b>Canopy soils can be important to forest nutrient cycling, hydrology, and biodiversity, but the factors determining their distribution and properties are largely unknown. We surveyed canopy soils across gradients of temperature and precipitation in six primary forests in Costa Rica. We used solid-state 13C nuclear magnetic resonance (NMR) and mass spectrometry (MS) to understand how the composition of canopy soil organic matter varies within and across sites. Climate, particularly fog, appears to drive canopy soil abundance across forests, while tree size determines canopy soil abundance within a forest. Canopy soil chemistry mostly varied within sites, though temperature was associated with the carbon (C) to nitrogen ratio, total dissolved nitrogen, and alkyl-C abun- dance, while fog explained some of the variation in dissolved organic carbon and O-alkyl C abundance. This study is the first-ever glimpse into large- and small-scale drivers of canopy soil abundance and biochemical composition. Our results highlight the importance of tree size and fog in determining the quantity and quality of canopy soil organic matter, suggesting that canopy soil stocks may be particularly vulnerable to climate and land use change. Identifying how multi-scale factors influence canopy organic matter processes will enhance our ability to identify and predict how environmental change might affect the abundance and chemistry of canopy soils and thus biodiversity that they support.