cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8239499
title: Associated dataset for 'BAlGaN light emitting diode emitting at 350 nm'

description: The data provided herein contains the raw data used in the manuscript 'BAlGaN light emitting diode emitting at 350 nm'.
DOI: 10.6084/m9.figshare.23932773
title: mask.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior - mask
DOI: 10.6084/m9.figshare.23932773.v1
title: mask.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior - mask
DOI: 10.6084/m9.figshare.23932776.v1
title: animal_3_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.6084/m9.figshare.23932776
title: animal_3_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.6084/m9.figshare.23932794
title: Imbibition-data

description: data for JGRSE
DOI: 10.6084/m9.figshare.23932794.v1
title: Imbibition-data

description: data for JGRSE
DOI: 10.6084/m9.figshare.23932758
title: animal_1_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.6084/m9.figshare.23932758.v1
title: animal_1_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.6084/m9.figshare.22281013
title: Instances of the "A bio-inspired optimization algorithm with disjoint-sets to delineate orthogonal site-specific management zones" article

description: This folder contains the instances, detailed results, and solution visualizations found in the paper "Instances of the "A bio-inspired optimization algorithm with disjoint-sets to delineate orthogonal site-specific management zones" article by Salvador J. Vicencio-Medina, Yasmin A. Rios-Solis, and Nestor M. Cid-Garcia.<br>The first stage in the precision agriculture cycle has been a vital study area in recent years because it allows soil testing followed by data analysis. In this stage, a strategic delineation of site-specific management zones acquires a particular interest because it enables site-specific treatment to improve crop yield by efficiently using the input of resources. The delineation of site-specific management zones problem is to determine the minimum number of zones that cover the entire field so that each zone's homogeneity is significant according to a specific chemical or physical soil property. Furthermore, the delineated zones should be orthogonal-shaped to be practical for agricultural machinery. This work has proposed a new bio-inspired algorithm, specifically an Estimation of Distribution Algorithm, based on a decoder that heavily relies on the Disjoint-Set algorithm and a new reactive penalized fitness function that detects unfeasible solutions. The new methodology improves the solutions presented in the literature by using a new search engine that drastically reduces the computational times of similar algorithms. Our algorithm has been tested with the literature benchmark, considering a new reactive penalization in the fitness function. Due to the algorithm's efficiency, a new set of large instances is introduced to test the scalability and robustness of the method. <br>
DOI: 10.6084/m9.figshare.22281013.v2
title: Instances of the "Orthogonal delineation of site-specific management zones using estimation of distribution algorithms and disjoint-sets" article

description: This folder contains the instances, detailed results, and solution visualizations found in the paper "Orthogonal delineation of site-specific management zones using estimation of distribution algorithms and disjoint-sets" by Salvador J. Vicencio-Medina, Yasmin A. Rios-Solis, and Nestor M. Cid-Garcia. <br> The site-specific management zone problem consists of dividing an agricultural field into zones where each zone is homogeneous according to a soil property that can be physical or chemical. In recent years, the use of orthogonal zones in an agricultural field has become an interesting study for their easy delineation with standard agricultural machinery. The main contribution of this work is a new methodology based on the Estimation of Distribution Algorithm and Disjoint-Sets that can divide an agricultural field into orthogonal zones. This new methodology improves the solutions presented in the literature where orthogonal zones are used until 71.3% while the computational times also are improved between 3200 - 10000 seconds. Besides, we propose a new set of instances to prove the scalability and robustness of the methodology presented. Finally, we use a simple constant penalization and propose a new reactive penalization with which parameter generalization is possible, while this characteristic is not possible in other similar approaches. Experimental results show that the constant and reactive penalizations have some advantages, one above the other that depends on the homogeneity level required and the size of the instance.
DOI: 10.6084/m9.figshare.23932770
title: animal_5_Allen_atlas.mat

description: Data subset from Benisty et. al 2023 describing the relationship between neural signals and spontaneous behavior
DOI: 10.15482/usda.adc/1529416
title: Ecological site identification, soil observations, and geomorphology data collected by the Assessment, Inventory, and Monitoring (AIM) terrestrial program between 2012 and 2021 in the western United States

description: This metadata is the documentation for the field soil observations, ecological site identification, and geomorphology characteristics collected by the Assessment, Inventory, and Monitoring (AIM) terrestrial program between 2012 and 2021 in 14 states of the western United States. The AIM program is conducted by the Bureau of Land Management (BLM)’s and provides information to guide site-specific management of ecosystem functions and services. There are 31,267 monitoring plots (79% of plots) with identified ecological sites and 29,228 plots (74% of plots) containing soil morphology descriptions of soil horizons examined in excavated pits. While soil texture class is observed in most soil horizons (98%), rock fragment volume is the soil property with the least data availability (75%). The consistency of soil data (e.g., clay content observations within the ranges of texture classes) increases as a function of time following guidance in soil profile description training for AIM data collectors. Nearly 47% of AIM plots are found on gentle slopes of 0-5% steepness and on Flat/Plain and Hill/Mountain landscape types. The AIM database is a source of georeferenced soil and geomorphology information that can be used for land management and research on land potential, soil geography, and assessment of soil health indicators across the western United States.
Resources in this dataset:


Resource title: Plot characteristics
File name: PlotCharacteristics.csv
Resource description: Plot characteristics table contains information on GPS coordinates, ecological site ID, and geomorphological settings, such as slope, aspect, landscape type, etc.


Resource title: Soil horizon
File name: SoilHorizon.csv
Resource description: The soil horizon table has information on soil morphology attributes, such as color, texture class, effervescence, soil structure, etc.


Resource title: Plot characteristics data dictionary
File name: PlotCharacteristicsDataDictionary.csv


Resource title: Soil horizon data dictionary
File name: SoilHorizonDataDictionary.csv


Resource title: Methods
File name: Methods.txt
DOI: 10.6084/m9.figshare.23589966
title: cmnpd_teripang_final.csv

description: CMNPD export.xlsx: This file is 16 KB in size. Unfortunately, without further context or information about the content of the file, it is challenging to provide a specific description of its data.Disgenet.xlsx: This file is 3 MB in size. Disgenet is a database that provides information on the genetic basis of human diseases. The Disgenet.xlsx file likely contains data related to genetic associations and disease information.OMIM.xlsx: This file is 3 MB in size. OMIM (Online Mendelian Inheritance in Man) is a comprehensive database of human genes and genetic disorders. The OMIM.xlsx file likely contains data related to genes, genetic variants, and associated disease information.QSAR.xlsx: This file is 25 KB in size. QSAR (Quantitative Structure-Activity Relationship) is a method used in computer-aided drug design to predict the biological activity of molecules. The QSAR.xlsx file likely contains data related to chemical structures, molecular properties, and activity predictions.Target.xlsx: This file is 3 MB in size. Without further context or information, it is challenging to determine the specific content of the Target.xlsx file. It could potentially contain data related to target molecules, drug targets, or other relevant information.Target Raw.xlsx: This file is 3 MB in size. Similar to the previous file, without further information, it is difficult to provide a specific description. However, based on the name, it could contain raw or unprocessed data related to target molecules or drug targets.Venn.xlsx: This file is 3 MB in size. "Venn" typically refers to Venn diagrams, which are used to illustrate set relationships. The Venn.xlsx file likely contains data related to set intersections or relationships
DOI: 10.6084/m9.figshare.23589966.v1
title: cmnpd_teripang_final.csv

description: The search for bioactive compounds in sea cucumbers (Sticophus sp) was conducted using the CMNPD database
DOI: 10.5281/zenodo.8239460
title: Spatial database of the repertory of all the roads in Spain in the year of grace of 1543 by Juan Villuga [shapefile]

description: This file provides a digital version of the roads documented by Juan Villuga in 1543. The file consists of 139 geographic entities (linear features), each entity represents a road documented by Juan Villuga with its respective name. The ETRS89 30N projection has been used. The vectorization has been made from two sources: 1) Villuga, Juan. 1543. Repertorio de todos los caminos de España en el año de gracia de 1543. Barcelona: Institut Cartografic i Geològic de Catalunya, R: RL 3419. (Accessed 14/05/2014). http://cartotecadigital.icgc.cat/cdm/singleitem/collection/espanya/id/2618/rec/1; and 2) Villuga, Juan. 1950 [1543]. Repertorio de todos los caminos de España. Madrid: Reimpresiones Bibliográficas. Este archivo proporciona una versión digital de los caminos por Juan Villuga en 1543. El archivo consta de 139 entidades geográficas de tipo línea, cada entidad representa un camino documentado por Juan Villuga con su respectivo nombre. Se ha utilizado la proyección ETRS89 30N. La vectorización ha sido realizada a partir de dos fuentes: 1) Villuga, Juan. 1543. Repertorio de todos los caminos de España en el año de gracia de 1543. Barcelona: Institut Cartografic i Geològic de Catalunya, R: RL 3419. (Consulta 14/05/2014). http://cartotecadigital.icgc.cat/cdm/singleitem/collection/espanya/id/2618/rec/1; y 2) Villuga, Juan. 1950 [1543]. Repertorio de todos los caminos de España. Madrid: Reimpresiones Bibliográficas.
description: Related publication: Ferreira Lopes, P., Pinto Puerto, F. (2018). GIS and Graph Models for Social, Temporal and Spatial Digital Analysis in Heritage: The case-study of Ancient Kingdom of Seville Late Gothic Production. Digital Application in Archaeology and Cultural Heritage, 9:1-14. https://doi.org/10.1016/j.daach.2018.e00074; Ferreira Lopes, P. (2020). Avanços no estudo das redes de itinerários da Península Ibérica no século XVI: aplicando os SIGH para estudar a história da arquitetura. Digital Humanities Quarterly, 14 (2), 1-17. Ferreira Lopes, P. (2018). Modelos digitales de información- SIG y grafos- aplicados en el patrimonio: la fábrica edilicia en el antiguo reino de Sevilla en el tránsito a la edad moderna. (Tesis Doctoral Inédita). Universidad de Sevilla, Sevilla.https://idus.us.es/handle/11441/81525 Grant Agency: Ministerio de Economía y Competitividad del Gobierno de España Grant Number: HAR2012-34571, HAR2016-78113-R and HAR2016-76371-P
description: {"references": ["Ferreira-Lopes, P. (2018). Spatial database of the repertory of all the roads in Spain in the year of grace of 1543 by Juan Villuga [shapefile]. 10.5281/zenodo.8239461"]}
DOI: 10.5519/qd.dhas754a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (23 records)
DOI: 10.6084/m9.figshare.22811888
title: Fold Change (log2)

description: DescriptionThe archive contains one file for each of the 8 panels. It contains fold change (FC) values (log2). The log2 FC values were generated for each of those exposures:<b>PT2</b> vs <b>PT1</b> (hyperthermic, post-acclimation vs hyperthermic, pre-acclimation)<b>PR2</b> vs <b>PR1</b> (normothermic, post-acclimation vs normothermic, pre-acclimation)<b>PT2</b> vs <b>PR2</b> (hyperthermic, post-acclimation vs normothermic, post-acclimation)<b>PT1</b> vs <b>PR1</b> (hyperthermic, pre-acclimation vs normothermic, pre-acclimation)To generate the log2 fold change from NPX data, the NPX were transformed from <i>log2</i> scale to linear scale. Then, for each exposure, the mean across the 10 participants were used. The FC (log2 scale) was then computed by dividing the two means and by transforming the ratio to the <i>log2</i> scale.
DOI: 10.6084/m9.figshare.22811888.v1
title: Fold Change

description: Description The archive contains one file for each of the 8 panels. It contains fold change (FC) values. The FC values were generated for each of those exposures: <strong>PT2</strong> vs <strong>PT1</strong> (hyperthermic, post-acclimation vs hyperthermic, pre-acclimation) <strong>PR2</strong> vs <strong>PR1</strong> (normothermic, post-acclimation vs normothermic, pre-acclimation) <strong>PT2</strong> vs <strong>PR2</strong> (hyperthermic, post-acclimation vs normothermic, post-acclimation) <strong>PT1</strong> vs <strong>PR1</strong> (hyperthermic, pre-acclimation vs normothermic, pre-acclimation) To generate the fold change from NPX data, the NPX were transformed from <em>log2</em> scale to linear scale. Then, for each exposure, the mean across the 10 participants were used. The FC (log2 scale) was then computed by dividing the two means and by transforming the ratio to the <em>log2</em> scale.
DOI: 10.6084/m9.figshare.23928468.v1
title: minus_assembly_dataset

description: Contains seven items:<i>V. vitis-idaea</i> ssp. <i>minus</i> <i>de novo</i> assembly in fasta format.<i>V. vitis-idaea</i> ssp. <i>minus</i> scaffolded assembly by mapping to the bilberry genome in agp format based on contig names in the <i>de novo</i> assembled genome (<i>V. myrtillus</i>; Wu et al. 2021).<i>V. vitis-idaea</i> ssp. <i>minus</i> scaffolded assembly by mapping to the bilberry genome in fasta format (<i>V. myrtillus</i>; Wu et al. 2021).Annotation of genes/mRNAs associated with the scaffolded genome in .gff3 format.Protein sequences from gene annotation in amino acid fasta or faa format.Coding sequences in nucleotide fasta format.Annotation of transposable elements associated with the scaffolded genome in gff3 format.Raw sequences generated in this study are found in NCBI under PRJNA998787: Oxford Nanopore (SRR25468432-SRR25468441), Illumina NovaSeq (SRR25477289)The contig-level assembly fasta can also be found in NCBI: JAUYVF000000000Reference: Wu,C., Deng,C., Hilario,E., Albert,N., Lafferty,D., Plunkett,B., Elborough,C., Saei,A., Jaakola,L., Karppinen,K., Grande,A., Kylli,R., Allan,A., Espley,R. and Chagne,D. 2021. A chromosome-scale assembly of the bilberry genome identifies a complex locus controlling berry anthocyanin composition. Molecular Ecology Resources, DOI 10.1111/1755-0998.13467
DOI: 10.6084/m9.figshare.23926251.v1
title: RedCandy_assembly_dataset

description: Contains seven items:<i>V. vitis-idaea</i> ssp. <i>vitis-idaea</i><i> </i>var. 'Red Candy' <i>de novo</i> assembly in fasta format.<i>V. vitis-idaea</i> ssp. <i>vitis-idaea</i><i> </i>var. 'Red Candy' scaffolded assembly by mapping to the bilberry genome in agp format based on contig names in the <i>de novo</i> assembled genome (<i>V. myrtillus</i>; Wu et al. 2021).<i>V. vitis-idaea</i> ssp. <i>vitis-idaea</i><i> </i>var. 'Red Candy' scaffolded assembly by mapping to the bilberry genome in fasta format (<i>V. myrtillus</i>; Wu et al. 2021).Annotation of genes/mRNAs associated with the scaffolded genome in gff3 format.Protein sequences from gene annotation in amino acid fasta or faa format.Coding sequences in nucleotide fasta format.Annotation of transposable elements associated with the scaffolded genome in gff3 format.Raw sequences generated in this study are found in NCBI under PRJNA998787: Oxford Nanopore (SRR25468442-SRR25468450), Illumina NovaSeq (SRR25477290)The contig-level assembly fasta can also be found in NCBI: JAUYVE000000000Reference: Wu,C., Deng,C., Hilario,E., Albert,N., Lafferty,D., Plunkett,B., Elborough,C., Saei,A., Jaakola,L., Karppinen,K., Grande,A., Kylli,R., Allan,A., Espley,R. and Chagne,D. 2021. A chromosome-scale assembly of the bilberry genome identifies a complex locus controlling berry anthocyanin composition. Molecular Ecology Resources, DOI 10.1111/1755-0998.13467
DOI: 10.6084/m9.figshare.16912366.v11
title: antspymm helper data

description: multi-channel and time series example data for antsx processing ... with priors
DOI: 10.5517/ccdc.csd.cc2fvydn
title: CCDC 2260222: Experimental Crystal Structure Determination

description: Related Article: Chidambaranathan  Balasubaramanian|2023|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.cc2fvzz8
title: CCDC 2260271: Experimental Crystal Structure Determination

description: Related Article: Laurence J. Kershaw Cook|2023|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.cc2chcy6
title: CCDC 2189528: Experimental Crystal Structure Determination

description: Related Article: Yanding Lin|2023|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.cc2fxqnr
title: CCDC 2261935: Experimental Crystal Structure Determination

description: Related Article: Bohan Zhao|2023|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.cc2fxqps
title: CCDC 2261936: Experimental Crystal Structure Determination

description: Related Article: Bohan Zhao|2023|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.cc2fxm00
title: CCDC 2261822: Experimental Crystal Structure Determination

description: Related Article: Megan May, Chun Li, Brendan Twamley, Richard V. Williams|2023|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.cc2fyz7m
title: CCDC 2263131: Experimental Crystal Structure Determination

description: Related Article: Philipp Rinke, Helmar Görls, Robert Kretschmer|2023|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.cc2fyzhw
title: CCDC 2263139: Experimental Crystal Structure Determination

description: Related Article: Philipp Rinke, Helmar Görls, Robert Kretschmer|2023|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.cc2fzyr4
title: CCDC 2264077: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Gido Leibeling, Görls, Helmar|2023|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.cc2fzyyb
title: CCDC 2264083: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Gido Leibeling, Görls, Helmar|2023|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.cc2fzz0f
title: CCDC 2264085: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Gido Leibeling, Görls, Helmar|2023|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.