cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e148621
title: Who Are America’s Teachers of the Year?

description: <b>Abstract</b><br>The Teacher of the Year (TOY) program is the longest-standing teacher recognition program in the United States. The purpose of this study is to describe the characteristics of state and national TOY awardees and the schools in which they teach. To accomplish this aim, we develop a new data set including the characteristics of all TOY awardees and their schools from 1988 to 2019. Using descriptive and regression analysis, we find that TOY awardees are most likely to teach at the high school level, while the most common subjects taught were elementary education, English language arts, natural sciences, and, for National TOY awardees, social studies. They also have a greater probability of being selected from schools with a smaller fraction of students eligible for free or reduced-price lunch, and higher student enrollments. We discuss how these differences may impede the TOY program’s efforts to amplify teachers’ voice in education policymaking.<br>
DOI: 10.3886/e148621v1
title: Who Are America’s Teachers of the Year?

description: <b>Abstract</b><br>The Teacher of the Year (TOY) program is the longest-standing teacher recognition program in the United States. The purpose of this study is to describe the characteristics of state and national TOY awardees and the schools in which they teach. To accomplish this aim, we develop a new data set including the characteristics of all TOY awardees and their schools from 1988 to 2019. Using descriptive and regression analysis, we find that TOY awardees are most likely to teach at the high school level, while the most common subjects taught were elementary education, English language arts, natural sciences, and, for National TOY awardees, social studies. They also have a greater probability of being selected from schools with a smaller fraction of students eligible for free or reduced-price lunch, and higher student enrollments. We discuss how these differences may impede the TOY program’s efforts to amplify teachers’ voice in education policymaking.<br>
DOI: 10.15482/usda.adc/1523086
title: Feedstock Readiness Level Evaluations Summary Table v4.1
DOI: 10.5281/zenodo.5386844
title: SciExpeM - 10.5281/zenodo.5386844

description: Ramirez L., H. P.; Hadj-Ali, K.; Diévart, P.; Moréac, G.; Dagaut, P. - Energy & Fuels, 2010, (24), 1668-1676
DOI: 10.5281/zenodo.5386843
title: SciExpeM - 10.5281/zenodo.5386844

description: Ramirez L., H. P.; Hadj-Ali, K.; Diévart, P.; Moréac, G.; Dagaut, P. - Energy & Fuels, 2010, (24), 1668-1676
DOI: 10.5066/p9e4b7b5
title: Nakula, Maui environmental controls on plant growth and seedling recruitment in a cloud-affected restoration site, 2016-2019

description: Fog has been demonstrated to support plant growth, survival and ecosystem maintenance spanning rainfall and elevation gradients across the world. Persistent fog and strong winds on high mountain slopes in Hawai'i create a unique ecological environment. We collected stem diameter measurements of three native plant species at Nakula Natural Area Reserve, Maui, during 2016-2019 and numerous environmental variables to examine how rain, fog and soil moisture influence plant water deficit and growth. We also collected seedling growth and survival data within plots where grass was removed, and control plots (no grass removal), to assess if and how grass removal influenced seedling growth and soil moisture.
DOI: 10.5519/qd.0w5e1u8c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9334 records)
DOI: 10.5517/ccdc.csd.cc26p6lq
title: CCDC 2046173: Experimental Crystal Structure Determination

description: Related Article: Kateryna Fominova, Taras Diachuk, Dmitry Granat, Taras Savchuk, Vladyslav Vilchynskyi, Oleksiy Svitlychnyi, Vladyslav Meliantsev, Igor Kovalchuk, Eduard Litskan, Vadym V. Levterov, Valentyn R. Badlo, Ruslan I. Vaskevych, Alla I. Vaskevych, Andrii V. Bolbut, Volodymyr V. Semeno, Rustam Iminov, Kostiantyn Shvydenko, Anastasiia S. Kuznetsova, Yurii V. Dmytriv, Daniil Vysochyn, Vasyl Ripenko, Andrei A. Tolmachev, Olexandra Pavlova, Halyna Kuznietsova, Iryna Pishel, Petro Borysko, Pavel K. Mykhailiuk|2021|Chemical Science|12|11294|doi:10.1039/D1SC03615G
DOI: 10.5517/ccdc.csd.cc272lvs
title: CCDC 2058085: Experimental Crystal Structure Determination

description: Related Article: Guanghui Zhang, Jingyun Tan, Long Zhou, Chao Liu, Jun Liu, Yingping Zou, Akimitsu Narita, Yunbin Hu|2021|Org.Lett.|23|6183|doi:10.1021/acs.orglett.1c00678
DOI: 10.5517/ccdc.csd.cc27gkx6
title: CCDC 2069588: Experimental Crystal Structure Determination

description: Related Article: Toshimichi Ohmura, Michinori Suginome, Kaito Yagi, Takeru Torigoe|2021|Synthesis|53|3057|doi:10.1055/a-1511-1025
DOI: 10.6073/pasta/6b44fb347afb09e61b5dcc7c8b21d14b
title: Ecological Survey of Central Arizona: a survey of key ecological indicators in parcels of residential areas in the greater Phoenix metropolitan area, ongoing since 2010 (Reformatted to a Darwin Core Archive)

description: This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/115/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/653/2. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. In 2010, the survey was expanded to include an assessment of residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed. Investigators interested in data from the broader Ecological Survey of Central Arizona that includes all survey plots should should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.
DOI: 10.15482/usda.adc/1523087
title: Feedstock Readiness Level (FSRL) evaluation: tung oil (Vernicia fordii), Catalytic Hydrothermolysis, South, Sept. 2021
DOI: 10.5281/zenodo.4763385
title: Investigating Fracture Network Deformation Using Noble Gas Release: Dataset

description: <strong>Data Description</strong> Data used in journal article: Investigating Fracture Network Deformation Using Noble Gas Release, 2021, W. Payton Gardner, Stephen J. Bauer, Scott Broome, <em>Geofluids</em> <em>Noble gas quadrupole dynamic data</em> are text files with time and logged current intensity for measured masses. File suffix is .xlh – File names are descriptive. Time stamps can be used to correlate with article figures <em>He leak rate data</em> – .xlsx (Microsoft Excel) format. Figure in text can be found on its own worksheet. <em>Air flow data</em> -Microsoft Excel format. Figures in text are in file.
DOI: 10.5281/zenodo.4763384
title: Investigating Fracture Network Deformation Using Noble Gas Release: Dataset

description: <strong>Data Description</strong> Data used in journal article: Investigating Fracture Network Deformation Using Noble Gas Release, 2021, W. Payton Gardner, Stephen J. Bauer, Scott Broome, <em>Geofluids</em> <em>Noble gas quadrupole dynamic data</em> are text files with time and logged current intensity for measured masses. File suffix is .xlh – File names are descriptive. Time stamps can be used to correlate with article figures <em>He leak rate data</em> – .xlsx (Microsoft Excel) format. Figure in text can be found on its own worksheet. <em>Air flow data</em> -Microsoft Excel format. Figures in text are in file.
DOI: 10.5287/bodleian:9objreeyo
title: Data for "Liquid bridge splitting enhances normal capillary adhesion and resistance to shear on rough surfaces"
DOI: 10.5519/qd.23l05k8w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4743 records)
DOI: 10.6084/m9.figshare.14877780
title: Electrophysiology in rat olfactory bulb and piriform cortex during orthonasal and retronasal olfactory stimulation

description: This data was recorded in the Shew lab and was used in the following publications<br>Odor-evoked Increases in Olfactory Bulb Mitral Cell Spiking Variability<br><br>
DOI: 10.5281/zenodo.5347006
title: Dataset of antiarch placoderms (the most basal jawed vertebrates) throughout Middle Paleozoic

description: This dataset is derived from the DeepBone database (www.deepbone.org), which is constructed with the support of "Big Earth Data Science Engineering (CASEarth)" in the Strategic Priority Research Program. Because no automatic method could extract the paleontological data from literature reliably, we organized researchers and students to contribute data in their research fields. This dataset, which was extracted from 127 published papers or books artificially, consists of 64 genera and 6004 records, covering all antiarch lineages. The 6004 records include 5852 fossil specimens that had been systematically described and documented, and 152 virtual specimens, which were introduced to describe the taxon information when no specimen was assigned for the referred records. Each record has at least one reference within our dataset. We transferred the unstructured data from literature to structured data for further research as detailed as possible. This is the most comprehensive dataset of Antiarcha up to now.
DOI: 10.6084/m9.figshare.16559733
title: Cooperation in a fluid swarm of fuel-free micro-swimmers

description: Datafiles are CSV format tables (made using pandas in python) used for analysis and figure making.
DOI: 10.6084/m9.figshare.16559733.v1
title: Cooperation in a fluid swarm of fuel-free micro-swimmers

description: Datafiles are CSV format tables (made using pandas in python) used for analysis and figure making.
DOI: 10.5519/qd.rqibmabk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (709 records)
DOI: 10.6073/pasta/9bb709936c8ce45e7daceff81d05e223
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.25387/g3.14139806.v1
title: Supplemental Material for Baertschi et al., 2021

description: Figure S1. Density of SNP markers in the calibration set (334 S<sub>0</sub> plants) in the 12-chromosome. Figure S2. MAF distribution among the population of 334 S<sub>0</sub> plants.Figure S3. Linkage disequilibrium, measured as r<sup>2</sup> between all pairs of markers considered in a 50 variants window. Figure S4. Neighbor joining tree of Euclidean distance between the 334 S<sub>0</sub> plants Table S1. Genetic characterization of the population. A) Summary information on the distribution, MAF and heterozygosity of the 9 928 SNP loci. B) Observed heterozygosity (Ho) among the 334 genotypesTable S2. Average linkage disequilibrium (r2) between marker pairs according to chromosomes and the distance between markers, considering loci with MAF &gt;2.5%. Table S3. Summary of the cross-validation (CV) procedures used in the study. Table S4. Fixed effect and variance decomposition for 50 Temporal Checks randomly distributed across the design within each repetition, considering A) 50 S0:2 lines in the two sites in 2017 and 2018 trials and B) 50 S0:2 and 50 S0:3 lines in the two sites in the 2018 trialsTable S5. Average predictive ability for the SINSRO scenarios across all traits, years, GP methods and calibration set sizesTable S6. Average predictive ability for the SINSRO, BAL1 and BAL2 scenarios across all traits, years and calibration set sizes using GBLUPTable S7. Average predictive ability for the SINSRO and IMB scenarios across all traits, years and calibration set sizes using GBLUPTable S8. Average predictive ability for the BAL1, BAL2, IMB and IMB scenarios across all traits, years and calibration set sizes using RKHS DataSet file contains a ReadMe file as well as the genotype and phenotype information of the PCT27_TP334 population
DOI: 10.25387/g3.14139806
title: Supplemental Material for Baertschi et al., 2021

description: Figure S1. Density of SNP markers in the calibration set (334 S<sub>0</sub> plants) in the 12-chromosome. Figure S2. MAF distribution among the population of 334 S<sub>0</sub> plants.Figure S3. Linkage disequilibrium, measured as r<sup>2</sup> between all pairs of markers considered in a 50 variants window. Figure S4. Neighbor joining tree of Euclidean distance between the 334 S<sub>0</sub> plants Table S1. Genetic characterization of the population. A) Summary information on the distribution, MAF and heterozygosity of the 9 928 SNP loci. B) Observed heterozygosity (Ho) among the 334 genotypesTable S2. Average linkage disequilibrium (r2) between marker pairs according to chromosomes and the distance between markers, considering loci with MAF &gt;2.5%. Table S3. Summary of the cross-validation (CV) procedures used in the study. Table S4. Fixed effect and variance decomposition for 50 Temporal Checks randomly distributed across the design within each repetition, considering A) 50 S0:2 lines in the two sites in 2017 and 2018 trials and B) 50 S0:2 and 50 S0:3 lines in the two sites in the 2018 trialsTable S5. Average predictive ability for the SINSRO scenarios across all traits, years, GP methods and calibration set sizesTable S6. Average predictive ability for the SINSRO, BAL1 and BAL2 scenarios across all traits, years and calibration set sizes using GBLUPTable S7. Average predictive ability for the SINSRO and IMB scenarios across all traits, years and calibration set sizes using GBLUPTable S8. Average predictive ability for the BAL1, BAL2, IMB and IMB scenarios across all traits, years and calibration set sizes using RKHS DataSet file contains a ReadMe file as well as the genotype and phenotype information of the PCT27_TP334 population
DOI: 10.6073/pasta/b056d5779a29637a43e485d714bc935e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.5281/zenodo.5387856
title: Automating Code Review Activities 2.0 (datasets, models and results)

description: Resources related by the research work <em>"Automating Code Review Activities 2.0".</em> <strong>automating_code_review.zip</strong> contains the material to successfully run our Colab notebooks; <strong>dataset.zip </strong>contains all the preprocessed datasets used in our work; <strong>generate_prediction.zip </strong>contains the material to successfully generate predictions using a T5 model chekpoint; <strong>models.zip</strong> contains the (best) checkpoints of the fine-tuned T5 models; <strong>results.zip</strong> contains our results; <strong>tokenizer.zip</strong> contains the Sentencepiece model and vocabulary trained on our pre-training dataset. More information in the replication package of our work: code_review_autmoation
DOI: 10.5281/zenodo.5387855
title: Automating Code Review Activities 2.0 (datasets, models and results)

description: Resources related by the research work <em>"Automating Code Review Activities 2.0".</em> <strong>automating_code_review.zip</strong> contains the material to successfully run our Colab notebooks; <strong>dataset.zip </strong>contains all the preprocessed datasets used in our work; <strong>generate_prediction.zip </strong>contains the material to successfully generate predictions using a T5 model chekpoint; <strong>models.zip</strong> contains the (best) checkpoints of the fine-tuned T5 models; <strong>results.zip</strong> contains our results; <strong>tokenizer.zip</strong> contains the Sentencepiece model and vocabulary trained on our pre-training dataset. More information in the replication package of our work: code_review_autmoation
DOI: 10.6073/pasta/e1c395462f3ed439a03f4110cbe44989
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.5066/f7jh3kfr
title: Archive of Merced River Basin Precipitation-Runoff Modeling System, with forecasting, climate-file preparation, and data-visualization tools

description: The U.S. Geological Survey, in cooperation with the California Department of Water Resources (DWR), has constructed a new spatially distributed Precipitation-Runoff Modeling System (PRMS) for the Merced River Basin (Koczot and others, 2021), which is a tributary of the San Joaquin River in California. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of streamflow and basin hydrology to various combinations of climate and land use (Markstrom and others, 2015). Although further refinement may be required to apply the Merced PRMS for official streamflow forecast operations, this application of PRMS is calibrated with intention to simulate (and eventually, forecast) year-to-year variations of inflows to Lake McClure during the critical April&ndash;July snowmelt season, and may become part of a suite of methods used by DWR for forecasting streamflow in and from the basin. The Merced application of PRMS is a high-resolution model defined spatially by discreet, georeferenced mapping units (i.e., &quot;hydrologic response units&quot;; HRUs). Daily inputs of precipitation, maximum and minimum temperatures are used to force the application. This application is designed to capture the effects of land use and climate change on streamflows and general hydrogeology from subareas of the model domain. As described in detail in Koczot and others (2021), simulations were calibrated against (1) solar radiation, (2) potential evapotranspiration, and (3) at 5 nodes representing locations of measured or reconstructed (at the outlet) streamflows. This application uses the PRMS 4.0.2 executable. Users should review the performance of this model to ensure applicability for their specific purpose. The PRMS application developed for this study can be operated through a customized Object User Interface (OUI; Markstrom and Koczot, 2008) coupled with a version of the Ensemble Streamflow Prediction (ESP; Day, 1985) forecasting tool, parameter-file editor, and data visualization tools. Furthermore, this includes daily-climate distribution preprocessing tools (Draper Climate-Distribution Software; Donovan and Koczot, 2019). Hereafter referred to as Merced OUI, this framework is the platform used to operate the Merced River Basin PRMS and perform streamflow simulations and forecasts.
DOI: 10.6073/pasta/483da105cd46138042e79ff1c9f2a446
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.