cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24354118.v1
title: usv_Anp_2015_huautla.rar

description: Vegetation and Land Cover Maps (VLCM) are vital for conducting scientific research in landscape ecology and macroecology. The Sierra de Huautla Biosphere Reserve (REBIOSH) is a national protected area in the central region of Mexico that harbors high biodiversity values and protects one of the greatest remnants of tropical dry forests in central Mexico. However, to date, the reserve only possesses the initial map of land use and vegetation (MLUV) and does not count with an equivalent more recent MLUV that allows to exploration of temporal changes within the REBIOSH. Therefore, we present here a newer MLUV generated from the processing of high spatial resolution satellite images through Geographic Information Systems and reanalyze the spatial data used for the initial map to compare both maps and estimate changes in time. In addition, all the geospatial information of the elements of the area is updated and the current levels of fragmentation of the natural formations were analyzed. Eighteen categories of land use and vegetation were defined, of which nine are associated with the predominant vegetation types in the area. The levels of fragmentation of the natural vegetation are high. This map fills a valuable information gap and will be key to supporting ecological studies to quantify the fundamental components of landscape structure in REBIOSH, as well as assessing the dynamics of abundance, geometric complexity, fragmentation, and other landscape attributes. From there, analyses can be conducted to compare alternative landscape scenarios or to understand changes in landscape conditions over time and provide definitive, quantitative data on the exact relationship between landscape structure and function.
DOI: 10.5281/zenodo.8410710
title: Resurrecting Ancient Antibiotics: Unveiling the Origins of Modern Lipid II Targeting Glycopeptides

description: Data supporting the publication "Resurrecting Ancient Antibiotics: Unveiling the Origins of Modern Lipid II Targeting Glycopeptides"
DOI: 10.5281/zenodo.8410709
title: Resurrecting Ancient Antibiotics: Unveiling the Origins of Modern Lipid II Targeting Glycopeptides

description: Data supporting the publication "Resurrecting Ancient Antibiotics: Unveiling the Origins of Modern Lipid II Targeting Glycopeptides"
DOI: 10.5063/f1wd3z1t
title: Data for Long-term memory of experienced jays facilitates problem-solving by naïve group members in the wild

description: Long-term memory affects animal fitness, especially in social species. In these species, the memory of group members facilitates the acquisition of novel foraging skills through social learning when naïve individuals observe and imitate the successful foraging behavior. Long-term memory and social learning also provide the framework for cultural behavior, a trait found in humans but very few other animal species. In birds, little is known about the duration of long-term memories for complex foraging skills, or the impact of long-term memory on group members. We tested whether wild jays remembered a complex foraging task more than 3 years after their initial experience and quantified the effect of this memory on naïve jay behavior. Experienced jays remembered how to solve the task and their behavior had significant positive effects on interactions by naïve group members at the task. This suggests that natural selection may favor long-term memory of solutions to foraging problems to facilitate the persistence of foraging skills that are specifically useful in the local environment in social birds with long lifespans and overlapping generations.
DOI: 10.5519/qd.ifhrbi57
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (71 records)
DOI: 10.34740/kaggle/dsv/6733509
title: Data jobs salaries
DOI: 10.25790/bml0cm.146
title: Synesthesia HCP (Human Connectome Project) Dataset
DOI: 10.17909/jmxm-1695
title: SMILES MIRI images

description: SMILES MIRI imaging survey
DOI: 10.5517/ccdc.csd.cc2dd8bf
title: CCDC 2216324: Experimental Crystal Structure Determination

description: Related Article: Tappei Tanabe, Tetsu Sato, Kentaro Fuku, Shinya Takaishi, Hiroaki Iguchi|2023|ChemPlusChem|88|e202300140|doi:10.1002/cplu.202300140
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.cc2dpqpj
title: CCDC 2225418: Experimental Crystal Structure Determination

description: Related Article: Aimée E. L. Cammiade, Laura Straub, David van Gerven, Mathias S. Wickleder, Uwe Ruschewitz|2023|Chemistry|5|965|doi:10.3390/chemistry5020065
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.cc2dpqqk
title: CCDC 2225419: Experimental Crystal Structure Determination

description: Related Article: Aimée E. L. Cammiade, Laura Straub, David van Gerven, Mathias S. Wickleder, Uwe Ruschewitz|2023|Chemistry|5|965|doi:10.3390/chemistry5020065
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: 10.5281/zenodo.10019699
title: Model simulations
DOI: 10.5281/zenodo.10019834
title: sphenopsis_melanotis_spades_01.fasta.gz

description: sphenopsis_melanotis_spades_01.fasta.gz
DOI: 10.5281/zenodo.10019835
title: sphenopsis_melanotis_spades_01.fasta.gz

description: sphenopsis_melanotis_spades_01.fasta.gz
DOI: 10.5281/zenodo.8206797
title: A Unified Treatment of Kepler Occurrence to Trace Planet Evolution: Supplemental Data

description: Here we present supplementary data underlying the paper "A Unified Treatment of Kepler Occurrence to Trace Planet Evolution I: Methodology." Included are:



	
Planet catalogs; filenames "dr25_X_PCs_B20_ruwe.csv"
	
Completeness contours; filenames "out0819_X_slog_insol__.fits.gz"
	
Observed planet KDEs; filenames "out0827_X_sboot_1000__avg.npy"
DOI: 10.5281/zenodo.8206796
title: A Unified Treatment of Kepler Occurrence to Trace Planet Evolution: Supplemental Data

description: Here we present supplementary data underlying the paper "A Unified Treatment of Kepler Occurrence to Trace Planet Evolution I: Methodology." Included are:



	
Planet catalogs; filenames "dr25_X_PCs_B20_ruwe.csv"
	
Completeness contours; filenames "out0819_X_slog_insol__.fits.gz"
	
Observed planet KDEs; filenames "out0827_X_sboot_1000__avg.npy"
DOI: 10.5281/zenodo.10019854
title: raw and preprocessed data included to the paper "Striatum-projecting prefrontal cortex neurons support working memory maintenance"

description: This Dataset includes matlab variables containing all raw and preprocessed data
1) fiber photometry experiments (GCaMP and GFP)
2) miniscope experiments
3) optogenetics experiments
4) DLC video analysis for photometry recording, optogenetic inhibition ArchT, optogenetic activation ChR2,  optogenetic activation ChR2 + MK801, control experiments for optogenetic inhibition and activation
5) Source Data Files for all main and supplementary Figures
 
 collected for the paper
 
"Striatum-projecting prefrontal cortex neurons support working memory maintenance"
Maria Wilhelm1,2,6, Yaroslav Sych1,7, Aleksejs Fomins1,2, José Luis Alatorre Warren1,8, Christopher Lewis1, Laia Serratosa Capdevila1, Roman Boehringer3, Elizabeth A. Amadei3, Benjamin Grewe2,3,4, Eoin C. O'Connor5, Benjamin J. Hall5,9, Fritjof Helmchen1,2,4*
1Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland.
2Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
3Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
4University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
5Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
6Present address: Institute for Neuroscience, ETH Zurich, 8057 Zurich, Switzerland. 
7Present address: Institute of Cellular and Integrative Neuroscience, CNRS, University of Strasbourg, Strasbourg, France.
8Present address: Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway.
9Present address: Circuit Biology Department, H. Lundbeck A/S, Valby, Denmark.
These authors contributed equally: Maria Wilhelm, Yaroslav Sych
*email: helmchen@hifo.uzh.ch
DOI: 10.5281/zenodo.8387631
title: raw and preprocessed data included to the paper "Striatum-projecting prefrontal cortex neurons support working memory maintenance"

description: This Dataset includes matlab variables containing all raw and preprocessed data
1) fiber photometry experiments (GCaMP and GFP)
2) miniscope experiments
3) optogenetics experiments
4) DLC video analysis for photometry recording, optogenetic inhibition ArchT, optogenetic activation ChR2,  optogenetic activation ChR2 + MK801, control experiments for optogenetic inhibition and activation
5) Source Data Files for all main and supplementary Figures
 
 collected for the paper
 
"Striatum-projecting prefrontal cortex neurons support working memory maintenance"
Maria Wilhelm1,2,6, Yaroslav Sych1,7, Aleksejs Fomins1,2, José Luis Alatorre Warren1,8, Christopher Lewis1, Laia Serratosa Capdevila1, Roman Boehringer3, Elizabeth A. Amadei3, Benjamin Grewe2,3,4, Eoin C. O'Connor5, Benjamin J. Hall5,9, Fritjof Helmchen1,2,4*
1Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland.
2Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
3Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
4University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
5Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
6Present address: Institute for Neuroscience, ETH Zurich, 8057 Zurich, Switzerland. 
7Present address: Institute of Cellular and Integrative Neuroscience, CNRS, University of Strasbourg, Strasbourg, France.
8Present address: Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway.
9Present address: Circuit Biology Department, H. Lundbeck A/S, Valby, Denmark.
These authors contributed equally: Maria Wilhelm, Yaroslav Sych
*email: helmchen@hifo.uzh.ch
DOI: 10.5281/zenodo.8387632
title: raw and preprocessed data included to the paper "Striatum-projecting prefrontal cortex neurons support working memory maintenance"

description: This Dataset includes matlab variables containing all raw and preprocessed data
1) fiber photometry experiments (GCaMP and GFP)
2) miniscope experiments
3) optogenetics experiments
4) DLC video analysis for photometry recording, optogenetic inhibition ArchT, optogenetic activation ChR2,  optogenetic activation ChR2 + MK801, control experiments for optogenetic inhibition and activation
5) Source Data Files for all main and supplementary Figures
 
 collected for the paper
 
"Striatum-projecting prefrontal cortex neurons support working memory maintenance"
Maria Wilhelm1,2,6, Yaroslav Sych1,7, Aleksejs Fomins1,2, José Luis Alatorre Warren1,8, Christopher Lewis1, Laia Serratosa Capdevila1, Roman Boehringer3, Elizabeth A. Amadei3, Benjamin Grewe2,3,4, Eoin C. O'Connor5, Benjamin J. Hall5,9, Fritjof Helmchen1,2,4*
1Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland.
2Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
3Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. 
4University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland
5Neuroscience & Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
6Present address: Institute for Neuroscience, ETH Zurich, 8057 Zurich, Switzerland. 
7Present address: Institute of Cellular and Integrative Neuroscience, CNRS, University of Strasbourg, Strasbourg, France.
8Present address: Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0317, Norway.
9Present address: Circuit Biology Department, H. Lundbeck A/S, Valby, Denmark.
These authors contributed equally: Maria Wilhelm, Yaroslav Sych
*email: helmchen@hifo.uzh.ch
DOI: 10.6084/m9.figshare.24354280
title: data for movie

description: 50 % DPs model, Total mass 27 M_Earth, sigma / 4
DOI: 10.6084/m9.figshare.24354280.v1
title: data for movie

description: 50 % DPs model, Total mass 27 M_Earth, sigma / 4
DOI: 10.6084/m9.figshare.24354292
title: Wild_boar_full_year_data.xlsx

description: African swine fever (ASF) is a highly virulent disease rapidly spreading through Europe with fatal consequences for wild boar and domestic pigs. Understanding pathogen transmission among individuals and populations is crucial for disease control. However, the carcass attractivity for free-ranging boars was surprisingly unstudied. Here, we evaluated if the wild boar carcasses are perceived as an attractant compared to the control sites throughout the year. For this purpose, 28 wild boar carcasses were placed in seven forest stands and continuously monitored in 2019–2020 by camera traps combined with control locations situated at least 200 m away in comparable habitats. Overall, we have recorded 3602 wild boar visits, from which 3017 (83.8%) were recorded in locations with placed carcasses and 585 (16.2%) in control locations. Most visits were recorded after sunset and before sunrise, corresponding to common peaks of wild boar activity. On average, the first visits were detected 4.7 days after carcass placement. Contrarily, it was 61.5 days for the control site. In conclusion, we have proven an enormous wild boar carcass attractivity for free-ranging boars, which exhibits an entirely new aspect of wild boar behavior. Therefore, the carcass removal is crucial measure for controlling the spread of ASF.
DOI: 10.6084/m9.figshare.24354292.v1
title: Wild_boar_full_year_data.xlsx

description: African swine fever (ASF) is a highly virulent disease rapidly spreading through Europe with fatal consequences for wild boar and domestic pigs. Understanding pathogen transmission among individuals and populations is crucial for disease control. However, the carcass attractivity for free-ranging boars was surprisingly unstudied. Here, we evaluated if the wild boar carcasses are perceived as an attractant compared to the control sites throughout the year. For this purpose, 28 wild boar carcasses were placed in seven forest stands and continuously monitored in 2019–2020 by camera traps combined with control locations situated at least 200 m away in comparable habitats. Overall, we have recorded 3602 wild boar visits, from which 3017 (83.8%) were recorded in locations with placed carcasses and 585 (16.2%) in control locations. Most visits were recorded after sunset and before sunrise, corresponding to common peaks of wild boar activity. On average, the first visits were detected 4.7 days after carcass placement. Contrarily, it was 61.5 days for the control site. In conclusion, we have proven an enormous wild boar carcass attractivity for free-ranging boars, which exhibits an entirely new aspect of wild boar behavior. Therefore, the carcass removal is crucial measure for controlling the spread of ASF.
DOI: 10.57967/hf/1229
title: python_codestyles-random-500
DOI: 10.57967/hf/1230
title: python_codestyles-single-500
DOI: 10.57967/hf/1231
title: python_codestyles-mixed1-500
DOI: 10.57967/hf/1232
title: python_codestyles-random-1k
DOI: 10.57967/hf/1233
title: python_codestyles-single-1k
DOI: 10.57967/hf/1234
title: python_codestyles-mixed1-1k
DOI: 10.6073/pasta/3654b2c656d74eb67dabf8c1796c2a39
title: Evaluation of bacterial bioinoculants and organic fertilizers on the growth of Furcraea sp. and the production of phenols and flavonoids

description: Furcraea sp. is a plant native to the Andean region that has a big impact in the economy due to the uses associates to the plant. This data set correspond to the results of the study "Effects of Bacterial Bioinoculants and Organic Fertilizers on Leaf Length, Total Phenol and Total Flavonoid Content in a Crop of Furcraea sp. in Sibundoy Putumayo". In the study, we applied bioinoculants and organic fertilizers either alone or in combination in order to determine their effect on the leaf lenght and the production of secondary metabolites. We present three data sets: the first one correspond to the leaf length (cm), that was measuere every 15 day during 400 days. This data was collected to determine how the different tratments applied affected the growth of the leaves of Furcraea sp. The second one is the total phenol content. It was measured by the Folin Ciocalteu method and the results were expressed as Equivalent mg of Galic acid/ g of dry vegetable material. The third one is the quantification of flavonoids, with the same thecnique mentioned before. The results were expressed as Equivalent mg of rutine/ g of dry vegetable materia. The aim of meassuring this two metabolites was to determine if there was any relationship between the products applied and their production.
DOI: 10.26093/cds/vizier.51650147
title: Main problem of lunar orbit revisited

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The Main Problem of Lunar Orbit Revisited.' (bibcode: 2023AJ....165..147L)
DOI: 10.26093/cds/vizier.22660005
title: TNOs mean-motion resonances with Neptune

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A dynamical survey of the trans-Neptunian region. I. Mean-motion resonances with Neptune.' (bibcode: 2023ApJS..266....5F)
DOI: 10.5281/zenodo.10019909
title: syndactyla_subalaris_spades_01.fasta.gz

description: syndactyla_subalaris_spades_01.fasta.gz
DOI: 10.5281/zenodo.10019908
title: syndactyla_subalaris_spades_01.fasta.gz

description: syndactyla_subalaris_spades_01.fasta.gz
DOI: 10.5281/zenodo.10019887
title: Data Release: "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3"

description: This repository contains the data behind the figures presented in v2 of "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3" (arXiv:2307.15824), to appear in ApJL.
The csv files (in Output.zip) and the h5 files contain the data products. The three Jupyter notebooks include code for plotting the figures and calculating the summary statistics that appear in the paper.
DOI: 10.5281/zenodo.8256744
title: Data Release: "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3"

description: This repository contains the data behind the figures presented in v2 of "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3" (arXiv:2307.15824), to appear in ApJL.
The csv files (in Output.zip) and the h5 files contain the data products. The three Jupyter notebooks include code for plotting the figures and calculating the summary statistics that appear in the paper.
DOI: 10.5281/zenodo.8256745
title: Data Release: "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3"

description: This repository contains the data behind the figures presented in "LIGO-Virgo-KAGRA's Oldest Black Holes: Probing star formation at cosmic noon with GWTC-3" (arXiv:2307.15824). The csv files (in Output.zip) and the h5 files contain the data products. The three Jupyter notebooks include code for plotting the figures and calculating the summary statistics that appear in the paper.
DOI: 10.6084/m9.figshare.24354313
title: Vairimorpha bombi genome and annotation

description: All quality-filtered and non-bumblebee Nanopore reads were assembled using Canu version 2.2 with parameters corOutCoverage = 100, corMhapSensitivity = high, minInputCoverage = 0, corMinCoverage = 0, and the precited genome size as 10 Mb, which is approximately the same length of the other two bee-infecting microsporidia – V. apis (8.5 Mb) and V. ceranae (7.9 – 8.8 Mb). We trimmed adapter sequences from the Illumina reads using Trimmomatic and aligned them to the draft Nanopore assembly using BWA-mem. We down sampled and normalised the combined aligned reads to ~120 X coverage using bbnorm from the BBTools suite version 39.01) and then iteratively polished the assembly three times using Pilon version 1.24<sup>.</sup>
DOI: 10.6084/m9.figshare.24354313.v1
title: Vairimorpha bombi genome and annotation

description: All quality-filtered and non-bumblebee Nanopore reads were assembled using Canu version 2.2 with parameters corOutCoverage = 100, corMhapSensitivity = high, minInputCoverage = 0, corMinCoverage = 0, and the precited genome size as 10 Mb, which is approximately the same length of the other two bee-infecting microsporidia – V. apis (8.5 Mb) and V. ceranae (7.9 – 8.8 Mb). We trimmed adapter sequences from the Illumina reads using Trimmomatic and aligned them to the draft Nanopore assembly using BWA-mem. We down sampled and normalised the combined aligned reads to ~120 X coverage using bbnorm from the BBTools suite version 39.01) and then iteratively polished the assembly three times using Pilon version 1.24<sup>.</sup>
DOI: 10.17861/b5ec0c70-ca64-438b-bba8-5098980059be
title: Experimental demonstration of a reconfigurable free-space receiver implementing polarization routing and filtering for daytime quantum key distribution

description: Data to support the paper for this title
DOI: 10.6084/m9.figshare.24354328
title: Flow duration statistics from Kansas River at Desoto

description: Flow duration statistics for USGS stream gage, Kansas River at Desoto, KS (id: 06892350). These numbers were first published in:Granato, Gregory E, Kernell G Ries III, and Peter A Steeves. 2017. “Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages.” Reston, VA. https://doi.org/10.3133/ofr20171108.Data range: October 1, 1917 to September 30, 2015
DOI: 10.6084/m9.figshare.24354328.v1
title: Flow duration statistics from Kansas River at Desoto

description: Flow duration statistics for USGS stream gage, Kansas River at Desoto, KS (id: 06892350). These numbers were first published in:Granato, Gregory E, Kernell G Ries III, and Peter A Steeves. 2017. “Compilation of streamflow statistics calculated from daily mean streamflow data collected during water years 1901–2015 for selected U.S. Geological Survey streamgages.” Reston, VA. https://doi.org/10.3133/ofr20171108.Data range: October 1, 1917 to September 30, 2015
DOI: 10.25345/c5qz22t5f
title: MassIVE MSV000093146 - Prueba uso de datos uno (Datos daniel)
title: Datos a usar para la prueba de procesamiento con GNPS, provienen del servicio deportes