cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14725382.v2
title: Distinct factors predict use of active learning techniques by pre-tenure and tenured STEM faculty

description: Despite decades of research indicating that active learning techniques (ALTs) are more effective than traditional lecture, ALTs are not widely implemented in STEM undergraduate classrooms. While ALT implementation is happening in a number of disciplines, including the geosciences, most STEM teaching remains lecture-based. Understanding the contexts that correlate with ALT adoption may allow expanded implementation. ALT use was documented among STEM pre-tenure and tenured faculty respondents across 66 research-intensive, U.S. universities, using the Change in Implementation of Pedagogical Practices survey. Personal, professional, and institutional/departmental factors were analyzed for association with ALT use. Most respondents reported using some ALTs in their teaching, with no significant distinctions between pre-tenure and tenured faculty. Teaching was perceived to carry less weight in practice (e.g., in tenure and promotion decisions) than the theoretical value stated by institutions (e.g., in faculty assignments and hiring). ALT use among tenured faculty was predicted by number of recent publications, their knowledge of education initiatives, and receiving informal feedback on their teaching. ALT use among pre-tenure faculty was predicted by the number of STEM education talks given. Perception of obstacles was a negative predictor of ALT use among tenured faculty only, though both pre-tenure and tenured faculty identified barriers to ALT use. Considering these identified barriers and how to remove them could potentially increase ALT use. The findings that ALT use by tenured faculty was predicted by number of recent publications and that grant funding was neither a positive nor negative predictor of ALT use suggest that ALT use does not hinder faculty research productivity.
DOI: 10.6084/m9.figshare.14725382.v1
title: Distinct factors predict use of active learning techniques by pre-tenure and tenured STEM faculty

description: Despite decades of research indicating that active learning techniques (ALTs) are more effective than traditional lecture, ALTs are not widely implemented in STEM undergraduate classrooms. While ALT implementation is happening in a number of disciplines, including the geosciences, most STEM teaching remains lecture-based. Understanding the contexts that correlate with ALT adoption may allow expanded implementation. ALT use was documented among STEM pre-tenure and tenured faculty respondents across 66 research-intensive, U.S. universities, using the Change in Implementation of Pedagogical Practices survey. Personal, professional, and institutional/departmental factors were analyzed for association with ALT use. Most respondents reported using some ALTs in their teaching, with no significant distinctions between pre-tenure and tenured faculty. Teaching was perceived to carry less weight in practice (e.g., in tenure and promotion decisions) than the theoretical value stated by institutions (e.g., in faculty assignments and hiring). ALT use among tenured faculty was predicted by number of recent publications, their knowledge of education initiatives, and receiving informal feedback on their teaching. ALT use among pre-tenure faculty was predicted by the number of STEM education talks given. Perception of obstacles was a negative predictor of ALT use among tenured faculty only, though both pre-tenure and tenured faculty identified barriers to ALT use. Considering these identified barriers and how to remove them could potentially increase ALT use. The findings that ALT use by tenured faculty was predicted by number of recent publications and that grant funding was neither a positive nor negative predictor of ALT use suggest that ALT use does not hinder faculty research productivity.
DOI: 10.6084/m9.figshare.12430382.v1
title: Measuring the implementation of student-centered teaching strategies in lower- and upper-division STEM courses

description: Understanding the rate at which STEM faculty move from traditional, lecture-intensive teaching practices to more effective, student-centered practices and the institutional conditions that favor this shift are crucial for supporting faculty change. This study investigated the instructional practices of biology, chemistry, and physics faculty at research-intensive institutions and explored the institutional structures that support student-centered instruction. Faculty members (N = 1,456) from 66 institutions reported on their frequency of use of a variety of instructional practices (at two time points within the last five years) and the support structures present at their institution using the Change in Implementation of Pedagogical Practices (ChIPP) survey. An index was created for measuring use of student-centered instructional strategies at these two time points, providing a measure of change over time. About 30% of all respondents reported increases in the frequency of student-centered teaching strategies over time. For all faculty, participation in institutional faculty communities was predictive of change toward student-centered pedagogies. Faculty teaching lower-division courses were more likely to use at a higher number of student-centered strategies every class, compared to their upper-division colleagues. Factors associated with greater use of student-centered strategies in lower-division courses were institutional financial opportunities for course reform, use of classrooms designed to promote active learning, and engagement in STEM education research. Only one factor, engagement in professional development, was associated with greater use of student-centered strategies in upper-division courses. These findings suggest that pedagogical change is occurring at research-intensive institutions and may be fostered through specific support structures.
DOI: 10.6084/m9.figshare.11409810.v1
title: Faculty self-reported use of quantitative and data analysis skills in undergraduate geoscience courses

description: Quantitative literacy is a foundational component of success in STEM disciplines and in life. Quantitative concepts and data-rich activities in undergraduate geoscience courses can strengthen geoscience majors’ understanding of geologic phenomena and prepare them for future careers and graduate school, and provide real-world context to apply quantitative thinking for non-STEM students. We use self-reported teaching practices from the 2016 National Geoscience Faculty Survey to document the extent to which undergraduate geoscience instructors emphasize quantitative skills (algebra, statistics, and calculus) and data analysis skills in introductory (n = 1096) and majors (n = 1066) courses. Respondents who spent more than 20% of class time on student activities, questions, and discussions, taught small classes, or engaged more with the geoscience community through research or improving teaching incorporated statistical analyses and data analyses more frequently in their courses. Respondents from baccalaureate institutions reported use of a wider variety of data analysis skills in all courses compared with respondents from other types of institutions. Additionally, respondents who reported using more data analysis skills in their courses also used a broader array of strategies to prepare students for the geoscience workforce. These correlations suggest that targeted professional development could increase instructors’ use of quantitative and data analysis skills to meet the needs of their students in context.
DOI: 10.7284/144806
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK210726 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144807
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK210726 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144808
title: Fluorometer data collected during research cruise FK210726 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144809
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK210726 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144810
title: Gyrocompass data collected during research cruise FK210726 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144802
title: INS (Inertial Navigation System) data collected during research cruise FK210726 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144805
title: INS (Inertial Navigation System) data collected during research cruise FK210726 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144811
title: INS (Inertial Navigation System) data collected during research cruise FK210726 using a Kongsberg Seapath 320 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144803
title: Meteorological Station data collected during research cruise FK210726 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144804
title: Meteorological Station data collected during research cruise FK210726 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144813
title: Meteorological Station data collected during research cruise FK210726 using a Gill MetPak Pro instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144798
title: Multibeam Echosounder data collected during research cruise FK210726 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144814
title: Multibeam Echosounder data collected during research cruise FK210726 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144815
title: Multibeam Echosounder data collected during research cruise FK210726 using a Kongsberg EM710 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144819
title: Multibeam Echosounder data collected during research cruise FK210726 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144800
title: pH data collected during research cruise FK210726 using a SUNBURST SAMI-pH instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144799
title: Radiometer data collected during research cruise FK210726 using a Eppley RAD instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144820
title: Radiometer data collected during research cruise FK210726 using a Biospherical QSR-2200 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144801
title: Speedlog data collected during research cruise FK210726 using a SKIPPER EML244 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144817
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK210726 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/144818
title: TSG (Thermosalinograph) data collected during research cruise FK210726 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5517/ccdc.csd.cc21qr6r
title: CCDC 1898694: Experimental Crystal Structure Determination

description: Related Article: Robert W. Pow, Zoё L. Sinclair, Nicola L. Bell, Nancy Watfa, Yousef M. Abul-Haija, De-Liang Long, Leroy Cronin|2021|Chem.-Eur.J.|27|12327|doi:10.1002/chem.202100899
DOI: 10.5281/zenodo.5554939
title: Geospatial Input Datasets for Urban Teleconnections Analysis

description: This dataset includes all of the necessary input layers for the `gamut` software package. Layers were downloaded from the sources in the references and were either directly used in the `gamut` software or processed prior to being used in the software. Processing and data information for each dataset is included in the metadata.
description: This research was supported by the US Department of Energy, Office of Science, as part of research in the MultiSector Dynamics, Earth and Environmental System Modeling Program.
description: {"references": ["McDonald, R.I. and D. Shemie. 2014. Urban Water Blueprint: Mapping conservation solutions to the global water challenge. The Nature Conservancy: Washington, D.C.", "Union of Concerned Scientists. 2012. UCS EW3 Energy-Water Database V.1.3. www.ucsusa.org/ew3database", "USDA, NRCS. 2019. National Cropland Data Layer (https://www.nass.usda.gov/Research_and_Science/Cropland/Release/).", "Theobald, David. 2014. Development and Applications of a Comprehensive Land Use Classification and Map for the US. PloS one. 9. e94628. 10.1371/journal.pone.0094628.", "M.M. Johnson, S.-C. Kao, N.M. Samu, and R. Uria-Martinez. 2020. Existing Hydropower Assets Plant Database. HydroSource. Oak Ridge National Laboratory, Oak Ridge, TN.", "Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel. 2006. World Map of the K\u00f6ppen-Geiger climate classification updated. Meteorol. Z., 15, 259-263. DOI: 10.1127/0941-2948/2006/0130.", "USDA-NRCS,USGS, EPA. 2013. Watershed Boundary Dataset for United States. Available URL: \"http://datagateway.nrcs.usda.gov\" [Accessed 05/05/2019].", "Falcone, J.A.. 2016. U.S. block-level population density rasters for 1990, 2000, and 2010: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F74J0C6M.", "Kristian Nelson, Sean Turner, Chris Vernon, Jennie Rice, & Shih-Chieh Kao. 2021. UWSCatCH: Urban Water Supply Catchment Contributions and Hydrological Statistics for large cities of the conterminous United States. (Version V.1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4315195"]}
DOI: 10.5281/zenodo.4662992
title: Geospatial Input Datasets for Urban Teleconnections Analysis

description: This dataset includes all of the necessary input layers for the `gamut` software package. Layers were downloaded from the sources in the references and were either directly used in the `gamut` software or processed prior to being used in the software. Processing and data information for each dataset is included in the metadata.
description: This research was supported by the US Department of Energy, Office of Science, as part of research in the MultiSector Dynamics, Earth and Environmental System Modeling Program.
description: {"references": ["McDonald, R.I. and D. Shemie. 2014. Urban Water Blueprint: Mapping conservation solutions to the global water challenge. The Nature Conservancy: Washington, D.C.", "Union of Concerned Scientists. 2012. UCS EW3 Energy-Water Database V.1.3. www.ucsusa.org/ew3database", "USDA, NRCS. 2019. National Cropland Data Layer (https://www.nass.usda.gov/Research_and_Science/Cropland/Release/).", "Theobald, David. 2014. Development and Applications of a Comprehensive Land Use Classification and Map for the US. PloS one. 9. e94628. 10.1371/journal.pone.0094628.", "M.M. Johnson, S.-C. Kao, N.M. Samu, and R. Uria-Martinez. 2020. Existing Hydropower Assets Plant Database. HydroSource. Oak Ridge National Laboratory, Oak Ridge, TN.", "Kottek, M., J. Grieser, C. Beck, B. Rudolf, and F. Rubel. 2006. World Map of the K\u00f6ppen-Geiger climate classification updated. Meteorol. Z., 15, 259-263. DOI: 10.1127/0941-2948/2006/0130.", "USDA-NRCS,USGS, EPA. 2013. Watershed Boundary Dataset for United States. Available URL: \"http://datagateway.nrcs.usda.gov\" [Accessed 05/05/2019].", "Falcone, J.A.. 2016. U.S. block-level population density rasters for 1990, 2000, and 2010: U.S. Geological Survey data release, http://dx.doi.org/10.5066/F74J0C6M.", "Kristian Nelson, Sean Turner, Chris Vernon, Jennie Rice, & Shih-Chieh Kao. 2021. UWSCatCH: Urban Water Supply Catchment Contributions and Hydrological Statistics for large cities of the conterminous United States. (Version V.1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4315195"]}
DOI: 10.25345/c58c3x
title: MassIVE MSV000088201 - Expanding the biological role of lipo-chitooligosaccharides and chitooligosaccharides in Laccaria bicolor growth and development
title: Fungal lipo-chitooligosaccharides (LCOs) are primarily defined as the molecules that mediate the establishment of symbiotic relationships between fungi and plants. However, recent studies have demonstrated that these polymers have distinct effects in the growth and development of fungi with diverse lifestyles, thus prompting new research efforts focused in understanding the emerging roles that these molecules have on fungi. In this study, we employed liquid chromatography coupled to high resolution tandem mass spectrometry to analyze global proteome changes of the ectomycorrhiza forming-fungi Laccaria bicolor when grown in the presence of exogenous sulfated and non-sulfated LCOs (sLCOs or nsLCOs, respectively), as well as the chitooligomers, chitotetraose (CO4) and chitooactose (CO8) 21-days post-induction. Physiological observations in LCOs and COs-treated samples highlighted a state of repressed growth when compared to controls. Quantitative proteomics analysis supported these observations by revealing substantial abundance alterations of proteins involved in controlling different aspects of polarized growth in L. bicolor.
DOI: 10.6084/m9.figshare.16637008.v20
title: hCoV-19 / North America / USA / Florida

description: Variant Submissions - Mu GH (B.1.621 + B.1.621.1) North America / USA / FloridaFor Dates:20SEP2021 21SEP202122SEP2021<br>23SEP2021 A.M. & P.M. <br>Variant Submissions - Delta GK/478K.V1 (B.1.617.2+AY.x) North America / USA / FloridaFor Dates:23SEP2021 - 28SEP202129SEP2021 - 01OCT2021 02OCT2021 - 05OCT2021REFERENCE: GISAID. I would like to Gratefully acknowledge all data contributors, i.e. the Authors, the Originating laboratories responsible for obtaining the specimens, and the Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which this research is based.<br>
DOI: 10.5281/zenodo.5096567
title: Simulated daily weather dynamics and gross primary production in 4 locations for 100,000 years

description: IMPORTANT NOTE: The data in version 1 of this record, due to an error of units in the precipitation, had a non-physical vegetation growth and gross primary production. This has been fixed in version 2 of the record. Further, version 2 of the data-set contains 3 locations because after fixing the error the sites called "Grassland" and "Temperate" site produced the same type of vegetation (only herbs) in version 2, that contains therefore only a "Temperate" site. ------------------------------------------------- The dataset reports daily temperature, precipitation, radiation and gross primary production in 4 different geographic locations, representative of different climates and vegetation distributions, for 100,000 years. Each of the .nc files contains the dataset corresponding to one particular site. The weather data was produced using the AWE-GEN stochastic weather generator model ( Fatichi et al., Water Resources, 34(4):448–467 (2011) ). Vegetation dynamics and gross primary production are simulated via the dynamic global vegetation model LPX-Bern v1.4 ( Lienert and Joos, Biogeosciences, 15(9):2909–2930 (2018) ). The foliar projective cover is also reported at an annual scale.
description: This data-set has been used in the work "Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks", to be submitted soon.
DOI: 10.7302/nxyj-7062
title: Stormtime energetics: Energy transport across the magnetopause in a global MHD simulation, simulation and analysis data
DOI: 10.5281/zenodo.5551033
title: Processed data from Repair-seq screens of prime editing of point mutations

description: Processed data from Repair-seq screens of prime editing of point mutations.
DOI: 10.6084/m9.figshare.16559976
title: Rat motor cortex and body movement measurements - RTT rats and WT rats [Shew Lab]

description: This dataset corresponds to the paper "Collapse of complexity of brain and body activity due to excessive inhibition and MeCP2 disruption". published in PNAS<br>Rat, recording date, drug condition, drug dose, and tracking data status are summarized in "Data summary.xlsx". The dataset is separated into three zip folders. "WT Global and Local" contains all the recordings of wild type rats with either local of global injection. "RTT Global Rat 2 3" contains recordings of two RTT rats with global injection. Recordings of the other two RTT rats are saved in "RTT Global Rat 4 6".<br>Each recording has two files: "spike.mat" and "position.mat". "spike.mat" contains two variables: spikeClusters is the cluster ID and spikeTimes is the time (in second) of spikes during the 30 minutes recording. "position.mat" contains a *24 matrix (in meter with time 10 ms resolution). Columns 1-24 represent y, z, x of beads 1-6 form neck to tail along the back of the rat's body; Columns 19-21 represent y, z, x of the bead at left rare hip; Columns 22-24 represent y, z, x of the bead at right rare hip.
DOI: 10.26188/16766857
title: YPF701 feature annotation, version 1

description: feature annotations for the original publication of pedinophyte YPF701 genome, in GFF3 format (gzipped)
DOI: 10.26188/16766863.v1
title: YPF701 predicted CDS, version 1

description: CDS predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766866
title: YPF701 predicted mRNA, version 1

description: mRNAs predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766869.v1
title: YPF701 predicted protein sequences, version 1

description: protein sequences predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766857.v1
title: YPF701 feature annotation, version 1

description: feature annotations for the original publication of pedinophyte YPF701 genome, in GFF3 format (gzipped)
DOI: 10.26188/16766869
title: YPF701 predicted protein sequences, version 1

description: protein sequences predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766863
title: YPF701 predicted CDS, version 1

description: CDS predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766866.v1
title: YPF701 predicted mRNA, version 1

description: mRNAs predicted from assembled genome of pedinophyte YPF701, fasta format (gzipped)
DOI: 10.26188/16766845
title: YPF701 scaffolds, version 1

description: scaffolds for the original publication of pedinophyte YPF701 genome, fasta format (gzipped)