cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9cw7q1n
title: Basin Characteristics and Salinity and Selenium Loads and Yields for Selected Subbasins in the Lower Gunnison River Basin, Western Colorado, 1992?2013

description: Mitigating the effects of salinity (total dissolved solids) and selenium on water quality in the lower Gunnison River Basin (LGRB) of western Colorado is a major concern for land managers. In cooperation with the Bureau of Reclamation, the U.S. Geological Survey completed a study to develop multiple linear regression models to estimate salinity and selenium loads. The objective of the study was to refine existing models by improving the regressions and using additional geospatial and water-quality data. This data release presents the basin characteristics and loads used to calibrate the models. Also provided are salinity and selenium yield rasters determined by empirical Bayesian kriging of loads estimated by the models. The yield rasters define the study area boundary. The &quot;Lower_Gunnison_River Basin_Data.7z&quot; file contains subfolders for the salinity (TDS) and selenium (Se) data. Both subfolders contain raster datasets used to compute basin characteristics (variables), a shapefile of basin characteristics and loads used as input to the models, a raster dataset of predicted yields, and individual metadata files for the shapefile and raster data. The raster datasets also represent the boundary of the study area.
DOI: 10.6084/m9.figshare.3761562.v2547
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5066/p9wj7zt5
title: Fish communities in Shenandoah Valley streams, 2021

description: From 16 June to 30 July, 2021, a Virginia Tech team of 4-6 sampled the fish community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature, macroinvertebrates, and fish health at the same 30 streams. The fish community team also sampled three additional bonus streams (SiteID's FOLL, NAKE, and TUMB) during 19-22 August, 2021. These 33 streams had upstream drainage areas of 7 to 46 sq. km and included 4 James River tributaries (SiteID's POAG, MLRB, CEDR, PISG), one Potomac River tributary (HARL), and 28 Shenandoah River tributaries. At each stream, we sampled fish from two reaches using two-pass backpack electrofishing and seining. Reach A was the main reach surveyed by all the interdisciplinary teams; Reach B was surveyed for fish communities only. Reach length was 20 wetted channel widths, capped at 150 meters. Fish were identified to species, assigned to a length class, inspected for anomalies, and released. Other measurements included water temperature, electrical conductivity, and clarity, and percent of the reach comprising pool, riffle, and run habitats.
DOI: 10.6084/m9.figshare.22308463.v5
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.5517/ccdc.csd.cc2dc8jl
title: CCDC 2215369: Experimental Crystal Structure Determination

description: Related Article: Quan-Hao Wei, Xin-Xin Cao, De-Feng Xu, Shu-Ting Wang, Jun-Sheng Zhang, Hua Zhang|2023|Phytochemistry|210|113646|doi:10.1016/j.phytochem.2023.113646
description: Related Article: Quanhao Wei|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dgb5d
title: CCDC 2218303: Experimental Crystal Structure Determination

description: Related Article: Lenka Krešáková, Anastasiia Doroshenko, Róbert Tarasenko, Jan Rohlíček, Martin Orendáč, Juraj Černák|2023|Polyhedron|236|116368|doi:10.1016/j.poly.2023.116368
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dj3mp
title: CCDC 2220022: Experimental Crystal Structure Determination

description: Related Article: Wenyan Yu, Yan Zhou, Yue Zhao, Wei Bai|2023|Polyhedron|236|116359|doi:10.1016/j.poly.2023.116359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22492816
title: Evaluation of eastern gamagrass as dual-purpose complementary bioenergy and forage feedstock to switchgrass

description: This data file includes two datasets used to construct the following two figures. <br> Figure 1 Changes in biomass yield, cellulose, hemicellulose, theoretical ethanol potential (TEP), theoretical ethanol yield (TEY), acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, Ca, and K contents between eastern gamagrass (GG) and switchgrass (SG) from 2013 to 2015. Error bars indicate standard errors. <br> Figure 2 Changes in cellulose, hemicellulose, lignin, acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, crude protein (CP), Ash, Ca, Mg, P, and K contents among different treatments in eastern gamagrass (GG) and switchgrass (SG). Please see Table 1 for treatment abbreviations. Error bars indicate standard errors. Treatments with the same small letters indicate no significant difference.
DOI: 10.6084/m9.figshare.22492816.v1
title: Evaluation of eastern gamagrass as dual-purpose complementary bioenergy and forage feedstock to switchgrass

description: This data file includes two datasets used to construct the following two figures. <br> Figure 1 Changes in biomass yield, cellulose, hemicellulose, theoretical ethanol potential (TEP), theoretical ethanol yield (TEY), acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, Ca, and K contents between eastern gamagrass (GG) and switchgrass (SG) from 2013 to 2015. Error bars indicate standard errors. <br> Figure 2 Changes in cellulose, hemicellulose, lignin, acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, crude protein (CP), Ash, Ca, Mg, P, and K contents among different treatments in eastern gamagrass (GG) and switchgrass (SG). Please see Table 1 for treatment abbreviations. Error bars indicate standard errors. Treatments with the same small letters indicate no significant difference.
DOI: 10.6084/m9.figshare.22492816.v2
title: Evaluation of eastern gamagrass as dual-purpose complementary bioenergy and forage feedstock to switchgrass

description: This data file includes two datasets used to construct the following two figures. <br> Figure 1 Changes in biomass yield, cellulose, hemicellulose, theoretical ethanol potential (TEP), theoretical ethanol yield (TEY), acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, Ca, and K contents between eastern gamagrass (GG) and switchgrass (SG) from 2013 to 2015. Error bars indicate standard errors. <br> Figure 2 Changes in cellulose, hemicellulose, lignin, acid detergent fiber (ADF), neutral detergent fiber (NDF), ash, crude protein (CP), Ash, Ca, Mg, P, and K contents among different treatments in eastern gamagrass (GG) and switchgrass (SG). Please see Table 1 for treatment abbreviations. Error bars indicate standard errors. Treatments with the same small letters indicate no significant difference.
DOI: 10.6084/m9.figshare.22564522
title: Correlation matrices

description: Correlation matrices of the environmental variables considered for analysis. The first tab, "metadata" includes information about each correlation matrix.
DOI: 10.6084/m9.figshare.22564522.v1
title: Correlation matrices

description: Correlation matrices of the environmental variables considered for analysis. The first tab, "metadata" includes information about each correlation matrix.
DOI: 10.6084/m9.figshare.22564528
title: Characterizing host-pathogen interactions between Zostera marina and Labyrinthula zosterae

description: Code, output files, figures, and supplementary information associated with the manuscript, "Characterizing host-pathogen interactions between <em>Zostera marina</em> and <em>Labyrinthula zosterae</em>." <br> Seagrass meadows serve as an integral component of coastal ecosystems but are declining rapidly due to numerous anthropogenic stressors including climate change. Eelgrass wasting disease, caused by opportunistic <em>Labyrinthula </em>spp., is an increasing concern with rising seawater temperature. To better understand the host-pathogen interaction, we paired whole organism physiological assays with dual transcriptomic analysis of the infected host and parasite. Eelgrass (<em>Zostera marina</em>) shoots were placed in one of two temperature treatments, 11° C or 18° C, acclimated for 10 days, and exposed to a waterborne inoculation containing infectious <em>Labyrinthula zosterae</em> (<em>Lz</em>) or sterile seawater. At two- and five-days post-exposure, pathogen load, visible disease signs, whole leaf phenolic content, and both host- and pathogen- transcriptomes were characterized. Two days after exposure, more than 90% of plants had visible lesions and <em>Lz</em> DNA was detectable in 100% percent of sampled plants in the <em>Lz </em>exposed treatment. Concentrations of total phenolic compounds were lower after 5 days of combined exposure to warmer temperatures and <em>Lz</em>, but were unaffected in other treatments. Concentrations of condensed tannins were not affected by <em>Lz</em> or temperature, and did not change over time. Analysis of the eelgrass transcriptome revealed 540 differentially expressed genes in response to <em>Lz </em>exposure, but not temperature. <em>Lz</em>-exposed plants had gene expression patterns consistent with increased defense responses through altered regulation of phytohormone biosynthesis, stress response, and immune function pathways. Analysis of the pathogen transcriptome revealed up-regulation of genes potentially involved in breakdown of host defense, chemotaxis, phagocytosis, and metabolism. The lack of a significant temperature signal was unexpected, but suggests a more pronounced physiological response to <em>Lz</em> infection as compared to temperature. Pre-acclimation of eelgrass plants to the temperature treatments may have contributed to the limited physiological responses to temperature. Collectively, these data characterize a widespread physiological response to pathogen attack and demonstrate the value of paired transcriptomics to understand infections in a host-pathogen system.
DOI: 10.6084/m9.figshare.22564528.v1
title: Characterizing host-pathogen interactions between Zostera marina and Labyrinthula zosterae

description: Code, output files, figures, and supplementary information associated with the manuscript, "Characterizing host-pathogen interactions between <em>Zostera marina</em> and <em>Labyrinthula zosterae</em>." <br> Seagrass meadows serve as an integral component of coastal ecosystems but are declining rapidly due to numerous anthropogenic stressors including climate change. Eelgrass wasting disease, caused by opportunistic <em>Labyrinthula </em>spp., is an increasing concern with rising seawater temperature. To better understand the host-pathogen interaction, we paired whole organism physiological assays with dual transcriptomic analysis of the infected host and parasite. Eelgrass (<em>Zostera marina</em>) shoots were placed in one of two temperature treatments, 11° C or 18° C, acclimated for 10 days, and exposed to a waterborne inoculation containing infectious <em>Labyrinthula zosterae</em> (<em>Lz</em>) or sterile seawater. At two- and five-days post-exposure, pathogen load, visible disease signs, whole leaf phenolic content, and both host- and pathogen- transcriptomes were characterized. Two days after exposure, more than 90% of plants had visible lesions and <em>Lz</em> DNA was detectable in 100% percent of sampled plants in the <em>Lz </em>exposed treatment. Concentrations of total phenolic compounds were lower after 5 days of combined exposure to warmer temperatures and <em>Lz</em>, but were unaffected in other treatments. Concentrations of condensed tannins were not affected by <em>Lz</em> or temperature, and did not change over time. Analysis of the eelgrass transcriptome revealed 540 differentially expressed genes in response to <em>Lz </em>exposure, but not temperature. <em>Lz</em>-exposed plants had gene expression patterns consistent with increased defense responses through altered regulation of phytohormone biosynthesis, stress response, and immune function pathways. Analysis of the pathogen transcriptome revealed up-regulation of genes potentially involved in breakdown of host defense, chemotaxis, phagocytosis, and metabolism. The lack of a significant temperature signal was unexpected, but suggests a more pronounced physiological response to <em>Lz</em> infection as compared to temperature. Pre-acclimation of eelgrass plants to the temperature treatments may have contributed to the limited physiological responses to temperature. Collectively, these data characterize a widespread physiological response to pathogen attack and demonstrate the value of paired transcriptomics to understand infections in a host-pathogen system.
DOI: 10.6084/m9.figshare.22128719
title: DATASET (CC-BY): Changes in permselectivity of radiation-grafted anion-exchange membranes with different cationic headgroup chemistries are primarily due to water content differences

description: The raw data behind Figures 1 in both native Renishaw file formats and in .xlsx Microsoft Excel formats. An .xlsx file of an example ETFE-g-poly(VBC) membrane with a degree of grafting = 46% is also presented.
DOI: 10.6084/m9.figshare.22128719.v1
title: DATASET (CC-BY): Changes in permselectivity of radiation-grafted anion-exchange membranes with different cationic headgroup chemistries are primarily due to water content differences

description: The raw data behind Figures 1 in both native Renishaw file formats and in .xlsx Microsoft Excel formats. An .xlsx file of an example ETFE-g-poly(VBC) membrane with a degree of grafting = 46% is also presented.
DOI: 10.6084/m9.figshare.22308463.v6
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.15482/usda.adc/1528741
title: Agronomic Calendars for the Bushland, Texas Soybean Datasets

description: This dataset consists of agronomic calendars for each growing season (year) when soybean [Glycine max (L.) Merr.] was grown for seed at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In 1995, 2003, 2004, and 2010, soybean was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. In 2019, soybean was grown on four large, precision weighing lysimeters, each in the center of a 4.4 ha square fields. The four fields were contiguous. The fields were designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW), and were themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Irrigation was by linear move sprinkler system in 1995, 2003, 2004, and 2010. In 2019, the NE and SE fields were irrigated using subsurface drip irrigation (SDI), while the NW and SW fields were irrigated using a linear move system. Irrigations designated as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigations designated as deficit typically involved full irrigation to establish the crop. A crop calendar for each season lists by date the pertinent agronomic and maintenance operations (e.g., planting, thinning, fertilization, pesticide application, lysimeter maintenance, harvest). For each season there is one crop calendar for each two lysimeters (NE and SE, and/or NW and SW).
    These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used for testing, and calibrating models of ET that use satellite and/or weather data.
DOI: 10.6084/m9.figshare.22308463.v7
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.5066/p9kj7lwt
title: Mercury, Cortisol, and Blood Biomarkers in Adult Female Northern Elephant Seals from 2011 to 2021

description: This dataset represents 179 unique adult female northern elephant seals that were sampled between 2011 and 2021 during four different life history states (early breeding, late breeding, early molting, and late molting) at the Ano Nuevo colony in California, USA. Some individual seals were sampled multiple times, resulting in a total of 313 tissue samples. Tissue samples were collected from seals and quantified for total mercury (whole blood and muscle), cortisol (serum), and 10 blood biomarkers (total thyroxine, total triiodothyronine, reverse triiodothyronine, immunoglobulin E, immunoglobulin G, immunoglobulin M, interleukin-6, interleukin-1-beta, progesterone, and estradiol). These data support the following publication: Peterson, S.H., Ackerman, J.T., Holser, R.R., McDonald, B.I., Costa, D.P. and Crocker, D.E., 2023. Mercury Bioaccumulation and Cortisol Interact to Influence Endocrine and Immune Biomarkers in a Free-Ranging Marine Mammal. Environmental Science & Technology. https://doi.org/10.1021/acs.est.2c08974
DOI: 10.6084/m9.figshare.22308463.v8
title: Mapeamento Detalhado WIT - Fatores de Atração, Permanência e Evasão (Santos e Marczak, 2023)

description: Aqui encontram-se os dados completos e detalhados do Mapeamento Sistemático da Literatura realizado dos artigos disponíveis nos Anais do <em>Women in Information Technology</em> (WIT), dos anos de 2016 a 2022. Os dados referem-se aos fatores que motivam a atração, permanência e o abandono de mulheres nas áreas da Computação, objetivo do trabalho submetido ao WIT 2023, elaborado pelas autoras Nayara Dias dos Santos e Sabrina Marczak.
DOI: 10.5517/ccdc.csd.cc2djylh
title: CCDC 2220827: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Prakash Duari, Viktoria H. Gessner|2023|Chemical Science|14|3816|doi:10.1039/D2SC06759E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djynk
title: CCDC 2220829: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Prakash Duari, Viktoria H. Gessner|2023|Chemical Science|14|3816|doi:10.1039/D2SC06759E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djypl
title: CCDC 2220830: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Prakash Duari, Viktoria H. Gessner|2023|Chemical Science|14|3816|doi:10.1039/D2SC06759E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djyqm
title: CCDC 2220831: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Prakash Duari, Viktoria H. Gessner|2023|Chemical Science|14|3816|doi:10.1039/D2SC06759E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2djysp
title: CCDC 2220833: Experimental Crystal Structure Determination

description: Related Article: Sébastien Lapointe, Prakash Duari, Viktoria H. Gessner|2023|Chemical Science|14|3816|doi:10.1039/D2SC06759E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.