cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10301898
title: The neural correlates of embodied L2 learning. Does embodied L2 verb learning affect representation and retention?

description: We investigated how naturalistic actions in a highly immersive, multimodal, interactive 3D virtual reality (VR) environment may enhance word encoding by recording EEG in a pre/post-test learning paradigm. While behavior data has shown that coupling word encoding with gestures congruent with word meaning enhances learning, the neural underpinnings of this effect have yet to be elucidated. We coupled EEG recording with VR to examine whether "embodied learning" improves learning and creates linguistic representations that produce greater motor resonance. Participants learned action verbs in an L2 in two different conditions: Specific action (observing and performing congruent actions on virtual objects) and Pointing (observing actions and pointing to virtual objects). Pre and post-training participants performed a Match-mismatch task as we measured EEG (variation in the N400 response as a function of match between observed actions and auditory verbs) and a Passive listening task while we measured motor activation (mu (8-13 Hz) and beta band (13-30Hz) desynchronization during auditory verb processing) during verb processing. Contrary to our expectations, post-training results revealed neither semantic nor motor effects in either group when considered independently of learning success. Behavioral results showed both groups learned the verbs, but also a great deal of variability in learning success. When considering performance, Low performance learners showed no semantic effect and High performance learners exhibited an N400 effect for Mismatch vs Match trails post-training, independent of the type of learning. Taken as a whole, our results suggest that embodied processes can play an important role in L2 learning.
DOI: 10.5281/zenodo.10301899
title: The neural correlates of embodied L2 learning. Does embodied L2 verb learning affect representation and retention?

description: We investigated how naturalistic actions in a highly immersive, multimodal, interactive 3D virtual reality (VR) environment may enhance word encoding by recording EEG in a pre/post-test learning paradigm. While behavior data has shown that coupling word encoding with gestures congruent with word meaning enhances learning, the neural underpinnings of this effect have yet to be elucidated. We coupled EEG recording with VR to examine whether "embodied learning" improves learning and creates linguistic representations that produce greater motor resonance. Participants learned action verbs in an L2 in two different conditions: Specific action (observing and performing congruent actions on virtual objects) and Pointing (observing actions and pointing to virtual objects). Pre and post-training participants performed a Match-mismatch task as we measured EEG (variation in the N400 response as a function of match between observed actions and auditory verbs) and a Passive listening task while we measured motor activation (mu (8-13 Hz) and beta band (13-30Hz) desynchronization during auditory verb processing) during verb processing. Contrary to our expectations, post-training results revealed neither semantic nor motor effects in either group when considered independently of learning success. Behavioral results showed both groups learned the verbs, but also a great deal of variability in learning success. When considering performance, Low performance learners showed no semantic effect and High performance learners exhibited an N400 effect for Mismatch vs Match trails post-training, independent of the type of learning. Taken as a whole, our results suggest that embodied processes can play an important role in L2 learning.
DOI: 10.6073/pasta/64949739f1f177b6cfdfc724dc0455f4
title: Soil Invertebrate Species in Macrosystems Biodiversity Project at Harvard Forest 2012

description: Leaf litter invertebrates and soil microbes were sampled in an array of 21 1m2 subplots by the Kaspari Ant Lab at the University of Oklahoma as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.34740/kaggle/dsv/7155672
title: Endangered_bird_species_of_Nepal
DOI: 10.6073/pasta/2ef10e2e16693894c9b0153bf1228e53
title: Tree Growth in Macrosystems Biodiversity Project at Harvard Forest 2011-2013

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing.
 The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical.
 This dataset contains annual growth measurements of trees along a series of transects using the measures of diameter at breast height and/or diameter and ground height at the five Gentry plots set up at Harvard Forest. These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.6073/pasta/73d5acf93336e6d0822765eb1a31c95c
title: Correction Factors for Dissolved Organic Carbon Extracted from Soil in New England 2012-2013

description: Oxidizable dissolved organic carbon (DOC) is regularly measured in environmental samples using a colorimetric method with Mn(III)-pyrophosphate as the oxidizing agent. It is simpler to use and has a much higher throughput than the commonly used dichromate oxidation and combustion methods. Here, we demonstrate that the method often leads to an underestimation or overestimation of the concentration of common organic compounds in solutions. To our knowledge, no published study has taken this fact into account when analyzing DOC data. Hence, we compared Mn(III)-pyrophosphate-based results with measurements performed with a total organic carbon combustion analyzer for samples of organic and mineral soil horizons of two temperate deciduous forests (Harvard Forest, Hubbard Brook), of organic soil horizon of a primary growth hemlock stand (Harvard Forest), and of a peatland (Caribou Bog) located in New England, USA. The Mn(III)-pyrophosphate method consistently underestimated DOC concentration in soil extracts. We present correction factors for the different types of soil studied. By employing correction factors, we find the method can be an inexpensive, accurate, and high throughput tool to measure DOC in environmental samples.
DOI: 10.25835/7bqa3d82
title: Preprint: Predictive Multi-Agent based Planning and Landing Controller for Reactive Dual-Arm Manipulation

description: This article has been accepted for publication in IEEE Transactions on Robotics. This is the author’s version which has not been fully edited and content may change prior to final publication.
DOI: 10.6084/m9.figshare.24773742
title: regulatory_network.csv

description: Example regulatory network file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24773742.v1
title: regulatory_network.csv

description: Example regulatory network file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24773745
title: meta.csv

description: Example meta information file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24773745.v1
title: meta.csv

description: Example meta information file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24773748.v1
title: expression.csv

description: Example expression data file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24773748
title: expression.csv

description: Example expression data file for the DysRegNet website custom data upload
DOI: 10.6084/m9.figshare.24749949.v2
title: Data and codes for "The hydrogen-bonding dynamics of water to a nitrile functionalized electrode is modulated by voltage according to ultrafast 2D IR spectroscopy"

description: "Waiting times" contains 2D IR data with applied voltage at many waiting times (used in Fig. 1 and Fig. 3)."Waiting time isotope labeled data" contains 2D IR data with isotopic dilution and waiting times (used in Fig. 2)."Solvents" contains 2D IR data with different solvents (used in Fig 1. and Fig. 2)."MD data" contains correlation functions and densities from MD (used in Fig. 4)."Processing codes" contains Matlab data processing codes used for 2D IR analysis."Simulation Code" contains a Matlab code used to simulate the waiting time 2D IR spectra.
DOI: 10.5517/ccdc.csd.cc2gz1vc
title: CCDC 2293003: Experimental Crystal Structure Determination

description: Related Article: Gaurav Badhani, Valvi Mangesh Biramya, Subbarayappa Adimurthy|2023|New J.Chem.|47|21596|doi:10.1039/D3NJ04496C
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: 10.5066/p9hk2k8i
title: Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China

description: The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for antimony, copper, phosphate, and potash, (5) coal occurrence areas, (6) electric power generating facilities, (7) electric power transmission lines, (8) liquefied natural gas terminals, (9) undiscovered, technically recoverable conventional and continuous hydrocarbon resources (by USGS geologic province), (10) cumulative production and recoverable conventional resources (by province groups), and (11) major mineral exporting maritime ports.
DOI: 10.5517/ccdc.csd.cc2gzl9c
title: CCDC 2293513: Experimental Crystal Structure Determination

description: Related Article: Preeti, Kailas V. Kallurkar, Prathama S. Mainkar, Raju Adepu, Srivari Chandrasekhar|2023|Org.Lett.|25|8408|doi:10.1021/acs.orglett.3c03040
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.cc2gzlbd
title: CCDC 2293514: Experimental Crystal Structure Determination

description: Related Article: Preeti, Kailas V. Kallurkar, Prathama S. Mainkar, Raju Adepu, Srivari Chandrasekhar|2023|Org.Lett.|25|8408|doi:10.1021/acs.orglett.3c03040
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.cc2gzmhl
title: CCDC 2293550: Experimental Crystal Structure Determination

description: Related Article: Hui-Jie Lun, Sheng-Qiang Dai, Ya-Xin Li, Hui-Li Guo, Swetha Andra, Dong-Bin Dang, Yan Bai|2023|Inorg.Chem.|62|19749|doi:10.1021/acs.inorgchem.3c03194
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.cc2gzmjm
title: CCDC 2293551: Experimental Crystal Structure Determination

description: Related Article: Hui-Jie Lun, Sheng-Qiang Dai, Ya-Xin Li, Hui-Li Guo, Swetha Andra, Dong-Bin Dang, Yan Bai|2023|Inorg.Chem.|62|19749|doi:10.1021/acs.inorgchem.3c03194
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.cc2gzmkn
title: CCDC 2293552: Experimental Crystal Structure Determination

description: Related Article: Hui-Jie Lun, Sheng-Qiang Dai, Ya-Xin Li, Hui-Li Guo, Swetha Andra, Dong-Bin Dang, Yan Bai|2023|Inorg.Chem.|62|19749|doi:10.1021/acs.inorgchem.3c03194
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: 10.5066/p9zamasb
title: Geographic Data for the Estimation of Peak Flow Statistics for Illinois

description: The U.S. Geological Survey Central Midwest Water Science Center completed a report (Over and others, 2023) documenting methods, results, and applications of an updated flood-frequency study for the State of Illinois. The study developed regional regression equations that relate the peak-flow quantiles and the basin characteristics of selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1, 2016, to September 30, 2017). The data provided through this data release are those digital datasets of basin characteristics that have been collected, tested, and ultimately selected for use in regional regression equations. These datasets consist of raster grid files for slope (slope100.zip), calculated from a published digital elevation model (DEM) (Schafer and Sharpe, 2023), soil slope (stats_slope100.zip) subsetted and resampled from Wolock (1997), a soil texture permeability index (texp_indx_rnd.zip) computed using data from Wolock (1997), land cover (nlcd16_22_23_24.zip) adapted from Yang and others (2018), a basin soil wetness measure (drclass1a.zip) computed from U.S. Department of Agriculture (USDA) (2013), and an urbanization fraction (urbthe2010.zip) computed from Theobald 2010 data (Theobald, 2005). Some basin characteristics are not included in this data release as they are easily derived from StreamStats basin delineations themselves, such as basin drainage area. The U.S. Geological Survey (USGS), in cooperation with the Illinois Center for Transportation (ICT) and the Illinois Department of Transportation (IDOT), prepared these digital datasets of basin characteristics for use in the Illinois StreamStats application (https://streamstats.usgs.gov/ss/). Two additional shapefiles are provided: a shapefile of the streamgages (IL_StreamStats_Gages.zip)�and a shapefile of the associated delineated streamgage drainage basins (IL_StreamStats_DrainageBasins.zip) used in analysis (Over and others, 2023).�
DOI: 10.5281/zenodo.10303807
title: Greening and Water Use Efficiency (WUE) during a period of high frequency of droughts in the Brazilian Semi-arid

description: DATA DESCRIPTION
E = evaporation (mm)
Et = transpiration (mm)
GPP (Gross Primary Productivity) (kg C/m2 d-1)
LAI (Leaf Area Index) (m2 leaf m-2)
PR (Precipitation) (mm)
WUE (Water Use Efficiency) (kg C/m2 d-1 mm-1)
Areas of study
CAR = Cariri
GLO =Gloria
MAD  Madre de Deus
P7C = Parque 7 Cidades
PETRO = Petrolina
TAL = Serra Talhada
TRI = Triunfo
XINGO = Xingo
D = dry season
R = rainy season
Months initial
DOI: 10.5281/zenodo.10303808
title: Greening and Water Use Efficiency (WUE) during a period of high frequency of droughts in the Brazilian Semi-arid

description: DATA DESCRIPTION
E = evaporation (mm)
Et = transpiration (mm)
GPP (Gross Primary Productivity) (kg C/m2 d-1)
LAI (Leaf Area Index) (m2 leaf m-2)
PR (Precipitation) (mm)
WUE (Water Use Efficiency) (kg C/m2 d-1 mm-1)
Areas of study
CAR = Cariri
GLO =Gloria
MAD  Madre de Deus
P7C = Parque 7 Cidades
PETRO = Petrolina
TAL = Serra Talhada
TRI = Triunfo
XINGO = Xingo
D = dry season
R = rainy season
Months initial
DOI: 10.6084/m9.figshare.24201129.v2
title: How Does ChatGPT-3.5 Compare with Developers When Answering Questions and Revising Software?

description: This folder contains all the experiment results and programs for our research to investigate how ChatGPT3.5 performs compared to Developers when answering technical questions and revising software based on maintenance request.
DOI: 10.5519/qd.4nmk4m2m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.10304429
title: THE INFLUENCE OF THE SHADOW ECONOMY ON SOCIETY.
DOI: 10.5281/zenodo.10304428
title: THE INFLUENCE OF THE SHADOW ECONOMY ON SOCIETY.
DOI: 10.5281/zenodo.10304474
title: KOREYS BADIIY ADABIYOTIDA KLASSIK JANRLARNING SPETSIFIK XUSUSIYATLARI
DOI: 10.5281/zenodo.10304475
title: KOREYS BADIIY ADABIYOTIDA KLASSIK JANRLARNING SPETSIFIK XUSUSIYATLARI
DOI: 10.5281/zenodo.10301862
title: The OPS-SAT case: test dataset

description: The OPS-SAT case: test dataset is the test split of the official dataset of ESA's Kelvins "the OPS-SAT case" challenge, created in collaboration with ESA's Φ-lab and ESA's OPS-SAT spacecraft operations team. It consists of 588 raw patches generated by cropping original acquisitions taken by the OPS-SAT cube-sat using its on-board camera. The patches have a resolution of 200x200 and are provided in .png format. Each patch was assigned through manual labeling to one of the following landcover classes: Agricultural, Cloud, Mountain, Natural, River, Sea_Ice, Snow, and Water.
The competition's goal is, given a model of a neural network (in this case the EfficientNet-Lite0), to provide best possible network parameters to perform an on-board classification task. To this goal, competitors were free to use any data, including The OPS-SAT case dataset, which was released before the start of the competition.
The OPS-SAT case: test dataset was hidden from the competitors during the competition and was used to evaluate and rank their submissions. 
More details about the competition setup and solution evaluation are on the Kelvins competition platform.
DOI: 10.5281/zenodo.10301861
title: The OPS-SAT case: test dataset

description: The OPS-SAT case: test dataset is the test split of the official dataset of ESA's Kelvins "the OPS-SAT case" challenge, created in collaboration with ESA's Φ-lab and ESA's OPS-SAT spacecraft operations team. It consists of 588 raw patches generated by cropping original acquisitions taken by the OPS-SAT cube-sat using its on-board camera. The patches have a resolution of 200x200 and are provided in .png format. Each patch was assigned through manual labeling to one of the following landcover classes: Agricultural, Cloud, Mountain, Natural, River, Sea_Ice, Snow, and Water.
The competition's goal is, given a model of a neural network (in this case the EfficientNet-Lite0), to provide best possible network parameters to perform an on-board classification task. To this goal, competitors were free to use any data, including The OPS-SAT case dataset, which was released before the start of the competition.
The OPS-SAT case: test dataset was hidden from the competitors during the competition and was used to evaluate and rank their submissions. 
More details about the competition setup and solution evaluation are on the Kelvins competition platform.
DOI: 10.7488/ds/7556
title: Optimising non-Newtonian fluids for impact protection of laminates

description: Non-Newtonian fluids can be used for the protection of flexible laminates. Understanding the coupling between the flow of the protecting fluid and the deformation of the protected solids is necessary in order to optimise this functionality. We present a scaling analysis of the problem based on a single coupling variable, the effective width of a squeeze flow between flat rigid plates, and predict that impact protection for laminates is optimised by using shear-thinning, and not shear-thickening, fluids. The prediction is verified experimentally by measuring the velocity and pressure in impact experiments. Our scaling analysis should be generically applicable for non-Newtonian fluid-solid interactions in diverse applications.
DOI: 10.34740/kaggle/dsv/7155923
title: UFC Fighters' Statistics Dataset
DOI: 10.34740/kaggle/dsv/7155934
title: UFC Fighters' Statistics Dataset
DOI: 10.5281/zenodo.10304563
title: THE ROLE OF TRADITIONAL AND MODERN COLORS IN ARTISTIC DECORATION IN THE DIRECTION OF POTTERY
DOI: 10.5281/zenodo.10304562
title: THE ROLE OF TRADITIONAL AND MODERN COLORS IN ARTISTIC DECORATION IN THE DIRECTION OF POTTERY