cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/kz7y-de90
title: GPR Data

description: Central Arkansas Water (CAW) supplies fresh water to about a half million of Arkansas population; therefore, to avoid service interruptions and damage cost, its pipes and other facility locations must be depicted in a realistic view of the subsurface before excavation work is done. Accordingly, Ground Penetrating Radar (GPR) surveys were conducted to locate the CAW pipelines as well as other potential utility lines beneath the old Broadway Bridge prior to the planned excavation work on the bridge site. The Arkansas Department of Transportation (ARDOT) selected three sites beneath the old Broadway Bridge to be surveyed to have their subsurface precisely and interactively mapped in 3D. In this article, a new approach is presented for achieving the main objectives through integrating GPR directly with ArcGIS Pro. The results indicated that integrating GPR with ArcGIS Pro can be a powerful tool to detect, map and view utility lines in a 3D space with the needed precision. GPR technique was able to locate the CAW pipeline and other subsurface utility lines at varying depths down to 2 m at two sites. Whereas the third site was more challenging to the GPR system due to the wet subsurface and high noise-to-signal ratio. However, a concrete pipe, heavy-duty cables as well as another anomaly, which is presumably related to the CAW pipeline, were detected at the third site. It is contended that the findings of this study could help protect utility infrastructure and reduce the cost of maintenance.
DOI: 10.5281/zenodo.7615892
title: Data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed"

description: This data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed", a publication in preparation for submission (2/7/2023)
DOI: 10.5281/zenodo.7615891
title: Data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed"

description: This data for "Urbanization and a green corridor do not impact genetic divergence in common milkweed", a publication in preparation for submission (2/7/2023)
DOI: 10.6084/m9.figshare.22041386
title: Mob grazing data

description: Dung beetle, moth, bat and grazing data relating to mob grazed and set stocked fields.
DOI: 10.18112/openneuro.ds004469.v1.0.0
title: Temporal Lobe Epilepsy - UNAM
DOI: 10.15472/hotlx3
title: Xerofítia andina en el Jardín Botánico de Bogotá

description: El bosque seco en Colombia es un ecosistema amenazado aunque es altamente valorado por los endemismos que alberga y los servicios ecosistémicos que presta.
description: El Jardín Botánico de Bogotá cuenta con el Ambiente Subxerofítico que incluye especies de los bosques secos de la sabana de Bogotá: Agave americana, Duranta mutisii, Epidendrum secundum, Opuntia ficus-indica, Sobralia mutisii, Tara spinosa, entre otros. Sin embargo, el Ambiente Subxerofítico NO está representando efectivamente la diversidad de especies y los endemismos de la flora presente en los bosques secos andinos y enclaves subxerofíticos del Distrito Capital, de manera que pueda aportar significativamente a la conservación ex situ de la flora de la capital, principalmente de las especies que se encuentran amenazadas, razón por la cual con esta investigación se pretende aumentar la diversidad de las especies propias de xerofitia andina dentro del Ambiente Subxerofítico del JBB. Con la ejecución de la presenta investigación se realizó enriquecimiento de especies en la zona del Ambiente Subxerofítico de 17 familias botánicas, 36 especies y 80 individuos, dentro de las cuales existen 35 especies en preocupación menor como Baccharis latifolia, Dodonaea viscosa y Puya floccosa, 1 especie endémica y En Peligro correspondiente a Ficus tequendamaey 1 especie endémica y En Peligro Crítico correspondiente a Condalia thomasiana.
description: Este recurso cuenta con un un listado de 105 especies vegetales y 30 géneros representantes de los ecosistemas xerofíticos en el Ambiente Subxerofítico del Jardín Botánico de Bogotá. La información fue recopilada durante el año 2022.
DOI: 10.5281/zenodo.7606465
title: Single-cell heterogeneity of EGFR and CKD4 co-amplification is linked to immune infiltration in glioblastoma

description: This upload contains RDS objects of preprocessed publicly available scRNAseq data, required to run scRNAseq analyses in the manuscript "Single cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma". The corresponding GitHub repo https://github.com/Michorlab/GBM_OR_immune contains code to analyze the data here, as well as plots and tables generated on the basis of this data.
DOI: 10.5281/zenodo.7606464
title: Single-cell heterogeneity of EGFR and CKD4 co-amplification is linked to immune infiltration in glioblastoma

description: This upload contains RDS objects of preprocessed publicly available scRNAseq data, required to run scRNAseq analyses in the manuscript "Single cell heterogeneity of EGFR and CDK4 co-amplification is linked to immune infiltration in glioblastoma". The corresponding GitHub repo https://github.com/Michorlab/GBM_OR_immune contains code to analyze the data here, as well as plots and tables generated on the basis of this data.
DOI: 10.5281/zenodo.7615714
title: Supplementary files for the article "A Systematic Literature Review on Multimodal Machine Learning"

description: All included data was used for this review study. Data contains information from collected articles. Results of the analysis of each article are also available. All files are related to each other. A file named "All Articles Selected And Rejected Decision.xlsx" contains the name and ID of all articles, and that ID is used in other files as a reference for the analysis.
DOI: 10.5281/zenodo.7615713
title: Supplementary files for the article "A Systematic Literature Review on Multimodal Machine Learning"

description: All included data was used for this review study. Data contains information from collected articles. Results of the analysis of each article are also available. All files are related to each other. A file named "All Articles Selected And Rejected Decision.xlsx" contains the name and ID of all articles, and that ID is used in other files as a reference for the analysis.
DOI: 10.5066/p9m4u5c9
title: Data to Estimate Water Use Associated with Oil and Gas Development within the Bureau of Land Management Carlsbad Field Office Area, New Mexico

description: The purpose of this data release is to provide data in support of the Bureau of Land Management's (BLM) Reasonably Foreseeable Development (RFD) Scenario by estimating water-use associated with oil and gas extraction methods within the BLM Carlsbad Field Office (CFO) planning area, located in Eddy and Lea Counties as well as part of Chaves County, New Mexico. Three comma separated value files and two python scripts are included in this data release. It was determined that all reported oil and gas wells within Chaves County from the FracFocus and New Mexico Oil Conservation Division (NM OCD) databases were outside of the CFO administration area and were excluded from well_records.csv and modeled_estimates.csv. Data from Chaves County are included in the produced_water.csv file to be consistent with the BLM?s water support document. Data were synthesized into comma separated values which include, produced_water.csv (volume) from NM OCD, well_records.csv (including location and completion) from NM OCD and FracFocus, and modeled_estimates.csv (using FracFocus as well as Ball and others (2020) as input data). The results from modeled_estimates.csv were obtained using a previously published regression model (McShane and McDowell, 2021) to estimate water use associated with unconventional oil and gas activities in the Permian Basin (Valder and others, 2021) for the period of interest (2010-2021). Additionally, python scripts to process, clean, and categorize FracFocus data are provided in this data release.
DOI: 10.34740/kaggle/dsv/4961300
title: NSE-Scripts-Data
DOI: 10.5281/zenodo.7616203
title: Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome

description: This repository contains the trajectory data from "Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome". <strong>Data sets</strong> We provide data sets for the following constructs and imaging conditions, where we give the name of the construct and the MS2-parS genomic separation in kb: data_line0.csv: parS-homie-evePr-PP7, 58 kb data_line1.csv: parS-homie-evePr-PP7, 82 kb data_line2.csv: parS-homie-evePr-PP7, 88 kb data_line3.csv: parS-homie-evePr-PP7, 149 kb data_line4.csv: parS-homie-evePr-PP7, 190 kb data_line5.csv: parS-homie-evePr-PP7, 595 kb data_line6.csv: parS-homie-evePr-PP7, 3.3 Mb data_line3_5s.csv: parS-homie-evePr-PP7, 149 kb, 5 second time interval data_line0_nohomie.csv: parS-lambda-evePr-PP7, 58 kb data_line3_nohomie.csv: parS-lambda-evePr-PP7, 149 kb <strong>Structure of Data</strong> The trajectory data are provided as csv files consisting of 13 columns. The column headers are: cell_id: a unique cell index time_point: the time frame x_blue: x-coordinate of the locus in the blue channel (units in nm) y_blue: y-coordinate of the locus in the blue channel (units in nm) z_blue: z-coordinate of the locus in the blue channel (units in nm) x_green: x-coordinate of the locus in the green channel (units in nm) y_green: y-coordinate of the locus in the green channel (units in nm) z_green: z-coordinate of the locus in the green channel (units in nm) x_Rij: x-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) y_Rij: y-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) z_Rij: z-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) red: intensity in the red channel (a.u.) state: inferred state using a 3-state HMM, with entries 0 (O_off), 1 (P_off), 2 (P_on)
DOI: 10.5281/zenodo.7616202
title: Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome

description: This repository contains the trajectory data from "Stochastic motion and transcriptional dynamics of pairs of distal DNA loci on a compacted chromosome". <strong>Data sets</strong> We provide data sets for the following constructs and imaging conditions, where we give the name of the construct and the MS2-parS genomic separation in kb: data_line0.csv: parS-homie-evePr-PP7, 58 kb data_line1.csv: parS-homie-evePr-PP7, 82 kb data_line2.csv: parS-homie-evePr-PP7, 88 kb data_line3.csv: parS-homie-evePr-PP7, 149 kb data_line4.csv: parS-homie-evePr-PP7, 190 kb data_line5.csv: parS-homie-evePr-PP7, 595 kb data_line6.csv: parS-homie-evePr-PP7, 3.3 Mb data_line3_5s.csv: parS-homie-evePr-PP7, 149 kb, 5 second time interval data_line0_nohomie.csv: parS-lambda-evePr-PP7, 58 kb data_line3_nohomie.csv: parS-lambda-evePr-PP7, 149 kb <strong>Structure of Data</strong> The trajectory data are provided as csv files consisting of 13 columns. The column headers are: cell_id: a unique cell index time_point: the time frame x_blue: x-coordinate of the locus in the blue channel (units in nm) y_blue: y-coordinate of the locus in the blue channel (units in nm) z_blue: z-coordinate of the locus in the blue channel (units in nm) x_green: x-coordinate of the locus in the green channel (units in nm) y_green: y-coordinate of the locus in the green channel (units in nm) z_green: z-coordinate of the locus in the green channel (units in nm) x_Rij: x-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) y_Rij: y-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) z_Rij: z-component of the aberration corrected 3D distance vector connecting the blue and green loci (units in nm) red: intensity in the red channel (a.u.) state: inferred state using a 3-state HMM, with entries 0 (O_off), 1 (P_off), 2 (P_on)
DOI: 10.6084/m9.figshare.22015805
title: Wood traits and demographic rates of 19 tree species from easter Amazon

description: These data correspond to wood functional traits and demographic rates (i.e., growth and mortality rates) measured at different ontogenetic stages in 19 forest tree species from eastern Amazonia.
DOI: 10.6084/m9.figshare.22015805.v1
title: Wood traits and demographic rates of 19 tree species from easter Amazon

description: These data correspond to wood functional traits and demographic rates (i.e., growth and mortality rates) measured at different ontogenetic stages in 19 forest tree species from eastern Amazonia.
DOI: 10.5517/ccdc.csd.cc1p93cg
title: CCDC 1557885: Experimental Crystal Structure Determination

description: Related Article: Maxim A. Zakharov, Elena V. Karpova, Maria Medovik|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.cc27q156
title: CCDC 2076757: Experimental Crystal Structure Determination

description: Related Article: wenli guan|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.cc28y8l3
title: CCDC 2113505: Experimental Crystal Structure Determination

description: Related Article: K.M. Turdybekov, Y.M. Suleimen, Kristof Van Hecke, Raigul Suleimen, A.V. Kazantsev, Qydyrmolla Akatan, |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.cc28y9l4
title: CCDC 2113536: Experimental Crystal Structure Determination

description: Related Article: K.M.Turdybekov, Ye.М. Suleimen, K. Van Hecke, R.N. Suleimen, A.V. Kazantsev|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.cc297z9v
title: CCDC 2122827: Experimental Crystal Structure Determination

description: Related Article: K.M. Turdybekov, R.I. Jalmakhanbetova, Y.M. Suleimen, G. Iskakova, N. Abe, M. Oyama, K. Van Hecke|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.cc2b8g9d
title: CCDC 2153083: Experimental Crystal Structure Determination

description: Related Article: Suman S. Das, Abinash Pradhan, Saroj L. Samal|2023|Dalton Trans.|52|1777|doi:10.1039/D2DT03803J
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.cc2bhpsb
title: CCDC 2160042: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Ferdinando Malagreca, Paul A. Hume, E. Stephen Davies, Stephen P. Argent, Tracey D. Bradshaw, David B. Amabilino|2023|Chem.Commun.|59|1613|doi:10.1039/D2CC06770F
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.cc2bhptc
title: CCDC 2160043: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Ferdinando Malagreca, Paul A. Hume, E. Stephen Davies, Stephen P. Argent, Tracey D. Bradshaw, David B. Amabilino|2023|Chem.Commun.|59|1613|doi:10.1039/D2CC06770F
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.cc2bhpvd
title: CCDC 2160044: Experimental Crystal Structure Determination

description: Related Article: Joshua Humphreys, Ferdinando Malagreca, Paul A. Hume, E. Stephen Davies, Stephen P. Argent, Tracey D. Bradshaw, David B. Amabilino|2023|Chem.Commun.|59|1613|doi:10.1039/D2CC06770F
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.19134734
title: Data from: Coupled information networks drive honeybee (Apis mellifera) collective foraging

description: Data were collected from behavioral experiments aimed at evaluating the relative contribution of waggle dance communication and olfactory information transfer during the reactivation of honeybee foragers to previously visited foraging sites. Within each trial, two groups of foragers from the same hive were trained to separate feeding stations. Each feeding station offered a unique scent.<br>Following a break in foraging during which the feeders were unavailable, we observed the reactivation process following the reinstallation of the feeding locations. We recorded dance-following, trophallaxis, and antennation interactions in the hive and the arrival times at the feeding stations.<br><br>The analysis is comprised of two main components: an analysis of scent-based assortative mixing within the honeybee interaction networks and a network-based diffusion analysis (NBDA). The NBDA estimates the rates of information flow across different interaction networks by taking as data the order in which foragers returned to their familiar feeders and their interactions with informed nestmates in the hive. Informed in this instance refers to bees that have already been reactivated to their familiar feeder during the trial.<br>Alongside the data, we provide fully annotated R code to carry out the analyses.
DOI: 10.6084/m9.figshare.19134734.v1
title: Data from: Coupled information networks drive honeybee collective foraging

description: Data were collected from behavioral experiments aimed at evaluating the relative contribution of waggle dance communication and olfactory information transfer during the reactivation of honeybee foragers to previously visited foraging sites. Within each trial, two groups of foragers from the same hive were trained to separate feeding stations. Each feeding station offered a unique scent.<br>Following a break in foraging during which the feeders were unavailable, we observed the reactivation process following the reinstallation of the feeding locations. We recorded dance-following, trophallaxis, and antennation interactions in the hive and the arrival times at the feeding stations.<br><br>The analysis is comprised of two main components: an analysis of scent-based assortative mixing within the honeybee interaction networks and a network-based diffusion analysis (NBDA). The NBDA estimates the rates of information flow across different interaction networks by taking as data the order in which foragers returned to their familiar feeders and their interactions with informed nestmates in the hive. Informed in this instance refers to bees that have already been reactivated to their familiar feeder during the trial.<br>Alongside the data, we provide fully annotated R code to carry out the analyses.
DOI: 10.5281/zenodo.7607534
title: Ground Penetrating Radar survey of San Quintin glacier, Northern Patagonia Icefield

description: Measured ice thickness, Residual Bedrock Reflection Power (BRP) and Internal Reflection Power (IRP) of San Quitin glacier, Northern Patagonia Icefield. Data for the preprint "Frontal collapse of San Quintín glacier (Northern Patagonia Icefield), the last piedmont glacier lobe in the Andes" in review for The Cryosphere (https://doi.org/10.5194/tc-2023-10)
description: ANID FONDECYT INICIACIÓN 11170937 grant
DOI: 10.5281/zenodo.7616653
title: semibalanus_cariosus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7616652
title: semibalanus_cariosus_spades_01.fasta.gz

description: .
DOI: 10.17632/sm6phjvrss.1
title: Data for: A tool for the validation of finite element models using three-dimensional full-field measurements

description: The data file includes the MATLAB-based validation tool, exemplary data, and a user guide.
DOI: 10.34740/kaggle/ds/2877308
title: NTDC Hourly Load Dataset