cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7448405
title: Doodleverse/Segmentation Zoo Res-UNet models for 2-class (water, other) segmentation of Sentinel-2 and Landsat-7/8 3-band (RGB) images of coasts.

description: <em><strong>Doodleverse/Segmentation Zoo Res-UNet models for 2-class (water, other) segmentation of Sentinel-2 and Landsat-7/8 3-band (RGB) images of coasts.</strong></em> These Residual-UNet model data are based on RGB (red, green, and blue) images of coasts and associated labels. Models have been created using Segmentation Gym* using the following dataset**: https://doi.org/10.5281/zenodo.7384242 Classes: {0=other, 1=water} <strong>File descriptions</strong> For each model, there are 5 files with the same root name: 1. <strong>'.json' </strong>config file: this is the file that was used by Segmentation Gym* to create the weights file. It contains instructions for how to make the model and the data it used, as well as instructions for how to use the model for prediction. It is a handy wee thing and mastering it means mastering the entire Doodleverse. 2.<strong> '.h5'</strong> weights file: this is the file that was created by the Segmentation Gym* function `train_model.py`. It contains the trained model's parameter weights. It can called by the Segmentation Gym* function `seg_images_in_folder.py`. Models may be ensembled. 3.<strong> '_modelcard.json'</strong> model card file: this is a json file containing fields that collectively describe the model origins, training choices, and dataset that the model is based upon. There is some redundancy between this file and the `config` file (described above) that contains the instructions for the model training and implementation. The model card file is not used by the program but is important metadata so it is important to keep with the other files that collectively make the model and is such is considered part of the model 4. <strong> '_model_history.npz'</strong> model training history file: this numpy archive file contains numpy arrays describing the training and validation losses and metrics. It is created by the Segmentation Gym function `train_model.py` 5. <strong> '.png'</strong> model training loss and mean IoU plot: this png file contains plots of training and validation losses and mean IoU scores during model training. A subset of data inside the .npz file. It is created by the Segmentation Gym function `train_model.py` Additionally, BEST_MODEL.txt contains the name of the model with the best validation loss and mean IoU <strong>References</strong> *Segmentation Gym: Buscombe, D., & Goldstein, E. B. (2022). A reproducible and reusable pipeline for segmentation of geoscientific imagery. Earth and Space Science, 9, e2022EA002332. https://doi.org/10.1029/2022EA002332 See: https://github.com/Doodleverse/segmentation_gym ** Buscombe, D. (2022). Images and 2-class labels for semantic segmentation of Sentinel-2 and Landsat RGB satellite images of coasts (water, other) (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7384242
DOI: 10.5281/zenodo.7335575
title: A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 1 of 2

description: Dataset associated with "A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster" </em>by Jones et al "A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster". See http://lab.gilest.ro/coccinella for more information This is archive 1 of 2
DOI: 10.5281/zenodo.7335574
title: A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 1 of 2

description: Dataset associated with "A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster" </em>by Jones et al "A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster". See http://lab.gilest.ro/coccinella for more information This is archive 1 of 2
DOI: 10.6084/m9.figshare.21741365
title: MOF-d-bands

description: These are the output and structure files used in our MOF d-band paper.
DOI: 10.5281/zenodo.7393689
title: A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 2 of 2

description: Dataset associated with "A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster" </em>by Jones et al 2022 See http://lab.gilest.ro/coccinella for more information This is archive 2 of 2
DOI: 10.5281/zenodo.7393688
title: A reductionist paradigm for high-throughput behavioural fingerprinting in Drosophila melanogaster - DATASET 2 of 2

description: Dataset associated with "A reductionist paradigm for high-throughput behavioural fingerprinting in <em>Drosophila </em><em>melanogaster" </em>by Jones et al 2022 See http://lab.gilest.ro/coccinella for more information This is archive 2 of 2
DOI: 10.5441/001/1.t23vm852/1
title: Eastern Whooping Crane Population Migration Timing-argos

description: Abrahms B, Teitelbaum CS, Mueller T, Converse SJ. 2021. Ontogenetic shifts from social to experiential learning drive avian migration timing. Nat Commun. 12:7326. doi:10.1038/s41467-021-27626-5
description: Migrating animals may benefit from social or experiential learning, yet whether and how these learning processes interact or change over time to produce observed migration patterns remains unexplored. Using 16 years of satellite-tracking data from 105 reintroduced whooping cranes, we reveal an interplay between social and experiential learning in migration timing. Both processes dramatically improved individuals’ abilities to dynamically adjust their timing to track environmental conditions along the migration path. However, results revealed an ontogenetic shift in the dominant learning process, whereby subadult birds relied on social information, while mature birds primarily relied on experiential information. These results indicate that the adjustment of migration phenology in response to the environment is a learned skill that depends on both social context and individual age. Assessing how animals successfully learn to time migrations as environmental conditions change is critical for understanding intraspecific differences in migration patterns and for anticipating responses to global change.
DOI: 10.5441/001/1.t23vm852/2
title: Eastern Whooping Crane Population Migration Timing-gps

description: Abrahms B, Teitelbaum CS, Mueller T, Converse SJ. 2021. Ontogenetic shifts from social to experiential learning drive avian migration timing. Nat Commun. 12:7326. doi:10.1038/s41467-021-27626-5
description: Migrating animals may benefit from social or experiential learning, yet whether and how these learning processes interact or change over time to produce observed migration patterns remains unexplored. Using 16 years of satellite-tracking data from 105 reintroduced whooping cranes, we reveal an interplay between social and experiential learning in migration timing. Both processes dramatically improved individuals’ abilities to dynamically adjust their timing to track environmental conditions along the migration path. However, results revealed an ontogenetic shift in the dominant learning process, whereby subadult birds relied on social information, while mature birds primarily relied on experiential information. These results indicate that the adjustment of migration phenology in response to the environment is a learned skill that depends on both social context and individual age. Assessing how animals successfully learn to time migrations as environmental conditions change is critical for understanding intraspecific differences in migration patterns and for anticipating responses to global change.
DOI: 10.5441/001/1.t23vm852/3
title: Eastern Whooping Crane Population Migration Timing-reference-data

description: Abrahms B, Teitelbaum CS, Mueller T, Converse SJ. 2021. Ontogenetic shifts from social to experiential learning drive avian migration timing. Nat Commun. 12:7326. doi:10.1038/s41467-021-27626-5
description: Migrating animals may benefit from social or experiential learning, yet whether and how these learning processes interact or change over time to produce observed migration patterns remains unexplored. Using 16 years of satellite-tracking data from 105 reintroduced whooping cranes, we reveal an interplay between social and experiential learning in migration timing. Both processes dramatically improved individuals’ abilities to dynamically adjust their timing to track environmental conditions along the migration path. However, results revealed an ontogenetic shift in the dominant learning process, whereby subadult birds relied on social information, while mature birds primarily relied on experiential information. These results indicate that the adjustment of migration phenology in response to the environment is a learned skill that depends on both social context and individual age. Assessing how animals successfully learn to time migrations as environmental conditions change is critical for understanding intraspecific differences in migration patterns and for anticipating responses to global change.
DOI: 10.5281/zenodo.7415472
title: Ecotoxicity test results for the paper entitled "Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils"

description: Within the frame of the ELECTRA No. 826244 H2020 project, a microbial electrochemical snorkel (MES) was applied for the treatment of soil contaminated by hydrocarbons at a laboratory scale. The changes in soil ecotoxicity were followed by plant tests applying <em>Sinapis alba</em> and <em>Triticum aestivum</em>. The datasets (supplementary to Figure 7) for this publication are presented here. Referred publication: Carolina Cruz Viggi, Matteo Tucci, Marco Resitano, Bruna Matturro, Simona Crognale, Viktória Feigl, Mónika Molnár, Simona Rossetti, Federico Aulenta, Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils, Science of The Total Environment, 845, 157325, 2022, https://doi.org/10.1016/j.scitotenv.2022.157325.
DOI: 10.5281/zenodo.7415471
title: Ecotoxicity test results for the paper entitled "Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils"

description: Within the frame of the ELECTRA No. 826244 H2020 project, a microbial electrochemical snorkel (MES) was applied for the treatment of soil contaminated by hydrocarbons at a laboratory scale. The changes in soil ecotoxicity were followed by plant tests applying <em>Sinapis alba</em> and <em>Triticum aestivum</em>. The datasets (supplementary to Figure 7) for this publication are presented here. Referred publication: Carolina Cruz Viggi, Matteo Tucci, Marco Resitano, Bruna Matturro, Simona Crognale, Viktória Feigl, Mónika Molnár, Simona Rossetti, Federico Aulenta, Passive electrobioremediation approaches for enhancing hydrocarbons biodegradation in contaminated soils, Science of The Total Environment, 845, 157325, 2022, https://doi.org/10.1016/j.scitotenv.2022.157325.
DOI: 10.5517/ccdc.csd.cc24tk8t
title: CCDC 1990766: Experimental Crystal Structure Determination

description: Related Article: Brahim El Bali, Mohammed Lachkar, Amani Direm, Michal Dusek, Marco Amores|2020|Inorg.Chem.Commun.|118|107981|doi:10.1016/j.inoche.2020.107981
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.cc25dzrb
title: CCDC 2008482: Experimental Crystal Structure Determination

description: Related Article: Aziz Alaoui Tahiri, Brahim El Bali, Mohammed Lachkar, Claire Wilson, David Bauer, Christoph Haisch|2021|Inorg.Chem.Commun.|128|108541|doi:10.1016/j.inoche.2021.108541
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.cc25n062
title: CCDC 2015223: Experimental Crystal Structure Determination

description: Related Article: Anouar Alami, Sara Hajib, Aouine younas, Zouihri hafid|2020|CSD Communication|||
description: Related Article: Sara Hajib, Salaheddine Boukhssas, Younas Aouine, Anouar Alami, Hassane Faraj, Hafid Zouihri, Brahim El Bali, Mohammed Lachkar|2020|Molbank|2020|M1163|doi:10.3390/M1163
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.cc28nb7j
title: CCDC 2104907: Experimental Crystal Structure Determination

description: Related Article: M. Idboumlik, M. Kadiri, N. Hamdi, M. Driouch, A.F.I. Ngopoh, I. Lakkab, E. Bendeif, M. Sfaira, B. El Bali, M. Lachkar, A. Zarrouk|2022|Mater.Chem.Phys.|287|126211|doi:10.1016/j.matchemphys.2022.126211
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.7415636
title: Ecotoxicity test results for the paper entitled "Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater"

description: Within the frame of the ELECTRA No. 826244 H2020 project, a sequential reductive/oxidative bioelectrochemical process at a laboratory scale was tested with real groundwater from a contaminated site in Northern Italy for chlorinated aliphatic hydrocarbons (CAHs) removal. The changes in groundwater ecotoxicity were followed by a complex ecotoxicity test battery including testorganisms from various trophic levels. The datasets (supplementary to Chapter 3.5) for this publication are presented here. Referred publication: Edoardo Dell'Armi, Marco Zeppilli, Maria Letizia Di Franca, Bruna Matturro, Viktória Feigl, Mónika Molnár, Zsófia Berkl, Imre Németh, Hafsa Yaqoubi, Simona Rossetti, Marco Petrangeli Papini, Mauro Majone, Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater, Journal of Water Process Engineering, 49, 2022, 103101, https://doi.org/10.1016/j.jwpe.2022.103101.
DOI: 10.5281/zenodo.7415635
title: Ecotoxicity test results for the paper entitled "Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater"

description: Within the frame of the ELECTRA No. 826244 H2020 project, a sequential reductive/oxidative bioelectrochemical process at a laboratory scale was tested with real groundwater from a contaminated site in Northern Italy for chlorinated aliphatic hydrocarbons (CAHs) removal. The changes in groundwater ecotoxicity were followed by a complex ecotoxicity test battery including testorganisms from various trophic levels. The datasets (supplementary to Chapter 3.5) for this publication are presented here. Referred publication: Edoardo Dell'Armi, Marco Zeppilli, Maria Letizia Di Franca, Bruna Matturro, Viktória Feigl, Mónika Molnár, Zsófia Berkl, Imre Németh, Hafsa Yaqoubi, Simona Rossetti, Marco Petrangeli Papini, Mauro Majone, Evaluation of a bioelectrochemical reductive/oxidative sequential process for chlorinated aliphatic hydrocarbons (CAHs) removal from a real contaminated groundwater, Journal of Water Process Engineering, 49, 2022, 103101, https://doi.org/10.1016/j.jwpe.2022.103101.
DOI: 10.18112/openneuro.ds004372.v1.0.0
title: PURSUE P300
DOI: 10.5281/zenodo.7448494
title: An experiment on how time scarcity shapes risk-taking behaviour

description: This is the dataset assciated to the paper "Of two minds: An experiment on how time scarcity shapes risk-taking behaviour". The dataset contains responses from the participants of the experiment. Key variables are the amount allocated to the risky asset ina portfolio allocation problem and the time treatment the subject was assigned to. The dataset also contains subjects' sociodemographic variables that were collected at the ned of the experiment.
DOI: 10.5281/zenodo.7448493
title: An experiment on how time scarcity shapes risk-taking behaviour

description: This is the dataset assciated to the paper "Of two minds: An experiment on how time scarcity shapes risk-taking behaviour". The dataset contains responses from the participants of the experiment. Key variables are the amount allocated to the risky asset ina portfolio allocation problem and the time treatment the subject was assigned to. The dataset also contains subjects' sociodemographic variables that were collected at the ned of the experiment.
DOI: 10.5281/zenodo.6675548
title: Spin-split collinear antiferromagnets: a large-scale ab-initio study

description: Data set associated with our work "Spin-split collinear antiferromagnets: a large-scale ab-initio study". It contains input files for ab-initio calculations for over sixty compounds, resulting band structures, as well as tools used to generate two-band models.
DOI: 10.5281/zenodo.6675549
title: Spin-split collinear antiferromagnets: a large-scale ab-initio study

description: Data set associated with our work "Spin-split collinear antiferromagnets: a large-scale ab-initio study". It contains input files for ab-initio calculations for over sixty compounds, resulting band structures, as well as tools used to generate two-band models.
DOI: 10.5281/zenodo.6675680
title: Spin-split collinear antiferromagnets: a large-scale ab-initio study

description: Data set associated with our work "Spin-split collinear antiferromagnets: a large-scale ab-initio study". It contains input files for ab-initio calculations for over sixty compounds, resulting band structures, as well as tools used to generate two-band models.
DOI: 10.5281/zenodo.7448505
title: Spin-split collinear antiferromagnets: a large-scale ab-initio study

description: Data set associated with our work "Spin-split collinear antiferromagnets: a large-scale ab-initio study". It contains input files for ab-initio calculations for over sixty compounds, resulting band structures, as well as tools used to generate two-band models.
DOI: 10.6084/m9.figshare.20522079.v1
title: Data from Gut bacteria reflects the adaptation of Diestrammena marmorata (Orthoptera: Rhaphidophoridae) to the cave

description: Gut bacteria reflects the adaptation of Diestrammena marmorata (Orthoptera: Rhaphidophoridae) to the cave Yiyi Dong1#, Qianquan Chen1#, Zheng Fang1, Qingshan Wu1, Lan Xiang2, Xiaojuan Niu1, Qiuping Liu1, Leitao Tan1, Qingbei Weng1,2* Gut microbiota is crucial importance for hosts’ nutrition, development, and adaptation.<em> Diestrammena marmorata</em>, a keystone species in karst cave in China, acts as a scavenger to provide indispensable energy inputs for cave ecosystems. It distributes in all regions of caves independent of light strength, however, its morphology and body color are dependent on light strength. Its gut bacteria reflect strategies to adapt the cave habitat remains unknown. Here we decoded the composition of its gut microbiota by 16S rRNA gene deep sequencing, and explored the contribution of gut bacteria to cave adaptation of <em>D. marmorata</em>. We found that gut bacterial communities were composed of 245 operational taxonomic units (OTUs) belonging to nine phyla, and Firmicutes is the top dominant phylum. Different food resources and light strengths may result in divergent composition and structure of gut bacterial community of <em>D. marmorata</em> in karst cave. Most of gut bacteria were probably involved in nutrition and provided essential amino acid to <em>D. marmorata</em>. In addition, gut bacteria may be involved in adaptation of body size <em>D. marmorata</em>. Unveiling the characteristics of gut bacterial community of <em>D. marmorata</em> would shed light on exploring the roles of gut bacteria in hosts’ adaption to karst cave environment.
DOI: 10.34740/kaggle/dsv/4732928
title: Correlation Comparison in Visualizations Dataset
DOI: 10.6084/m9.figshare.21742067
title: Supplementary Table 1.docx

description: Resting and exercising vascular conductance to the respiratory muscles, the 28 individual muscles of the rat hindlimb, and total hindlimb musculature HF-rEF and HF-rEF+T2DM rats. Values are mean (SD) and compared with Two-Way ANOVA with Šidák multiple comparisons. * P &lt; 0.05 vs. HF-rEF; ** P &lt; 0.01 vs HF-rEF; † P &lt; 0.01 vs. Rest
DOI: 10.6084/m9.figshare.21742067.v1
title: Supplementary Table 1.docx

description: Resting and exercising vascular conductance to the respiratory muscles, the 28 individual muscles of the rat hindlimb, and total hindlimb musculature HF-rEF and HF-rEF+T2DM rats. Values are mean (SD) and compared with Two-Way ANOVA with Šidák multiple comparisons. * P &lt; 0.05 vs. HF-rEF; ** P &lt; 0.01 vs HF-rEF; † P &lt; 0.01 vs. Rest
DOI: 10.35077/ace-fan
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 1004840833

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 1004840833', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H20.28.001', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'69.0', Ageunit:'Years', Sex:'Female', OrganName:'Brain', SampleLocalID:'1004840833.0', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24080', Locations:'CeG' INSTRUMENT METADATA: MicroscopeType:'Brightfield', MicroscopeManufacturerAndModel:'Zeiss AxioImager Z2 microscope', ObjectiveImmersion:'Oil' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'