cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20483583.v3
title: Reliably Mapping Low-intensity Forest Disturbance Using Satellite Radar Data

description: Dataset in support of the paper
DOI: 10.6084/m9.figshare.20387481.v2
title: Taxonomic annotation: Krona plots from sourmash annotation with GTDB using reads (nucleotides)

description: Krona plots presenting the taxonomic annotations of short- and long-read metagenomes as performed by sourmash and annotated with the Genome Taxonomy Database (GTDB).
DOI: 10.5281/zenodo.4632480
title: Time- and angle-resolved photoemission spectroscopy (trARPES) data of Td-MoTe2 across an ultrafast dynamical Lifshitz transition

description: Time and angle-resolved photoemission spectroscopy (ARPES) of bulk Td-MoTe<sub>2</sub> for p-polarized pump and probe. This dataset, measured at an absorbed fluence of 0.6 mJ/cm<sup>2</sup>, demonstrates the occurence of an abrupt change in the Fermi surface topology, also called Lifshitz transition. These results supplement a manuscript unveiling a nonequilibrium dynamical route toward ultrafast modification of the Fermi surface topology, experimentally demonstrated here for the first time. The combination of these measurements with state-of-the-art TDDFT+U simulations demonstrates that this nonequilibrium topological electronic transition finds its microscopic origin in the dynamical modification of the effective electronic correlations.
description: This work was funded by the Max Planck Society, the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [grant nos. ERC-2015-CoG-682843, ERC-2015-AdG694097, and H2020-FETOPEN-2018-2019-2020-01 (OPTOLogic, grant agreement no. 899794)], the Grupos Consolidados (IT1249-19); the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Emmy Noether program (grant nos. RE 3977/1 and MS 2558/2-1); the Cluster of Excellence "Advanced Imaging of Matter" (AIM), the SFB925 "Light-induced dynamics and control of correlated quantum systems"; the Collaborative Research Center/Transregio 227 "Ultrafast SpinDynamics" (projects B07 and A09, project number 328545488); the FOR1700 project (project E5, project number 194370842); and the Priority Program SPP 2244 (project no. 443366970). The Flatiron Institute is a division of the Simons Foundation. S.B. acknowledges financial support from the NSERC-Banting Postdoctoral Fellowships Program. T. P. acknowledges financial support from the Alexander von Humboldt Fellowship program of the Alexander von Humboldt Stiftung.
DOI: 10.5281/zenodo.5913599
title: Dataset for NXmpes demonstration

description: Dataset for the generation of Nexus files using the Nomad Nexus parser
DOI: 10.5281/zenodo.7035754
title: Dataset for NXmpes demonstration

description: Dataset for the generation of Nexus files using the Nomad Nexus parser
DOI: 10.6084/m9.figshare.20721388
title: Taxonomic annotation: GTDB + PhyloDB in protein space

description: Krona plots and accompanying .tsv files showing the community structure of marine water column samples. Analyses were performed with six-frame translated sequence data using short (Illumina) and long (PacBio) reads. Annotations were run with sourmash using the PhyloDB and GTDB databases. Files beginning with "ri" represent results from Illumina sequencing reads and files beginning with "r" represent results from PacBio long read sequences.
DOI: 10.6084/m9.figshare.20721388.v2
title: Taxonomic annotation: GTDB + PhyloDB in protein space

description: Krona plots and accompanying .tsv files showing the community structure of marine water column samples. Analyses were performed with six-frame translated sequence data using short (Illumina) and long (PacBio) reads. Annotations were run with sourmash using the PhyloDB and GTDB databases. Files beginning with "ri" represent results from Illumina sequencing reads and files beginning with "r" represent results from PacBio long read sequences.
DOI: 10.6084/m9.figshare.20721388.v1
title: GTDB + PhyloDB: Krona plots

description: Krona plots and accompanying .tsv files showing the community structure of marine water column samples. Analyses were performed with six-frame translated sequence data using short (Illumina) and long (PacBio) reads. Annotations were run with sourmash using the PhyloDB and GTDB databases. Files beginning with "ri" represent results from Illumina sequencing reads and files beginning with "r" represent results from PacBio long read sequences.
DOI: 10.6084/m9.figshare.20387481.v3
title: Taxonomic annotation: Krona plots, GTDB only

description: Krona plots presenting the taxonomic annotations of short- and long-read metagenomes as performed by sourmash with reads (nucleotides) and annotated with the Genome Taxonomy Database (GTDB).
DOI: 10.6084/m9.figshare.17129711
title: COVID effect on vehicle counts and proportion boats fishing on inland lakes in Vilas County, WI

description: Vehicle counts collected at 38 public lake access points in Vilas County, WI in the summers of 2018, 2019, and 2020. Code uses negative binomial GLMMs to compare vehicle counts before and during the pandemic.
DOI: 10.6084/m9.figshare.17129711.v2
title: COVID effect on vehicle counts and proportion boats fishing on inland lakes in Vilas County, WI

description: Vehicle counts collected at 38 public lake access points in Vilas County, WI in the summers of 2018, 2019, and 2020. Code uses negative binomial GLMMs to compare vehicle counts before and during the pandemic.
DOI: 10.6084/m9.figshare.17129711.v1
title: COVID effect on vehicle counts in Vilas County, WI

description: Vehicle counts collected at 38 public lake access points in Vilas County, WI in the summers of 2018, 2019, and 2020. Code uses negative binomial GLMMs to compare vehicle counts before and during the pandemic.
DOI: 10.5517/ccdc.csd.cc2b9f03
title: CCDC 2154004: Experimental Crystal Structure Determination

description: Related Article: Ivan A. Buldashov, Alexander G. Medvedev, Alexey A. Mikhaylov, Andrei V. Churakov, Ovadia Lev, Petr V. Prikhodchenko|2022|CrystEngComm|24|6101|doi:10.1039/D2CE01017H
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.cc2b84b3
title: CCDC 2152774: Experimental Crystal Structure Determination

description: Related Article: Thomas Hohmann, Michael Dyrks, Suvrat Chowdhary, Manuela Weber, Duy Nguyen, Johann Moschner, Beate Koksch|2022|J.Org.Chem.|87|10592|doi:10.1021/acs.joc.2c00522
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: 10.5285/e6fe4a24-5479-14b1-e053-6c86abc0223f
title: Oxygen isotope water samples (seawater, sea ice, meltwater pools) collected on JR15006, March-April 2016.

description: This dataset consists of δ18O and salinity data from samples collected onboard the RRS James Clark Ross JR15006 cruise on behalf of the ORCHESTRA project during March-April 2016. Samples were collected from CTDs, the underway supply and ice/meltwater/shore water using small boats. The cruise consisted of the semi-annually repeated A23 hydrographic CTD section between the Weddell Sea and South Georgia, combined with the opportunistic request for 6 extra science days to take advantage of the newly installed oxygen isotope auto-analyser connected to the ship's underway system. The goal of this extension was to collect 'end member' samples of oxygen isotopes from freshwater input to the region in order to attribute the freshwater component of underway observations to various percentage contributions from (for e.g.) sea ice melt, precipitation, glacial outflow etc. In addition, oxygen isotopes were collected from CTDs on both A23 and in the vicinity of strong freshwater input, to establish the mixing between deep ocean interior values and local surface sources.
DOI: 10.6084/m9.figshare.20483583
title: Reliably Mapping Low-intensity Forest Disturbance Using Satellite Radar Data

description: Dataset in support of the paper <br> It contains: - Plot shapefiles x 8 (.shp) - AGB values for plots (.xlsx table) - GeoTiff raster with 2 bands (Smax and DOY) x 2 (.tif)
DOI: 10.6084/m9.figshare.20483583.v5
title: Reliably Mapping Low-intensity Forest Disturbance Using Satellite Radar Data

description: Dataset in support of the paper <br> It contains: - Plot shapefiles x 8 (.shp) - AGB values for plots (.xlsx table) - GeoTiff raster with 2 bands (Smax and DOY) x 2 (.tif)
DOI: 10.6084/m9.figshare.20483583.v4
title: Reliably Mapping Low-intensity Forest Disturbance Using Satellite Radar Data

description: Dataset in support of the paper
DOI: 10.5281/zenodo.7034803
title: Summary statistics accompanying the article "Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency" in Scientific Reports (2022)

description: Summary statistics for genome-wide association studies reported in: Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. <em>Scientific Reports</em>, DOI: 10.1038/s41598-022-19106-7. <strong>Abstract</strong> Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component. Further information on the files uploaded here can be found in the README. Users interested in bulk downloading these summary statistics may find zenodo_get helpful.
description: This work was undertaken using UK Biobank application number 36509. This work was supported by a British Heart Foundation Programme Grant (RG/16/4/32218). H.S.M. is supported by a National Institute for Health Research (NIHR) Senior Investigator award. D.J.T is funded by the Medical Research Council under grant MR/No26896/1 for work unconnected to this study. This research was supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215–20014). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The funding organisations had no role in any of the following: design and conduct of the study; collection, management, analysis, and interpretation of the data; review, or approval of the manuscript.
description: {"references": ["Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. Scientific Reports, DOI: 10.1038/s41598-022-19106-7"]}
DOI: 10.5281/zenodo.7034802
title: Summary statistics accompanying the article "Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency" in Scientific Reports (2022)

description: Summary statistics for genome-wide association studies reported in: Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. <em>Scientific Reports</em>, DOI: 10.1038/s41598-022-19106-7. <strong>Abstract</strong> Complex brain networks play a central role in integrating activity across the human brain, and such networks can be identified in the absence of any external stimulus. We performed 10 genome-wide association studies of resting state network measures of intrinsic brain activity in up to 36,150 participants of European ancestry in the UK Biobank. We found that the heritability of global network efficiency was largely explained by blood oxygen level-dependent (BOLD) resting state fluctuation amplitudes (RSFA), which are thought to reflect the vascular component of the BOLD signal. RSFA itself had a significant genetic component and we identified 24 genomic loci associated with RSFA, 157 genes whose predicted expression correlated with it, and 3 proteins in the dorsolateral prefrontal cortex and 4 in plasma. We observed correlations with cardiovascular traits, and single-cell RNA specificity analyses revealed enrichment of vascular related cells. Our analyses also revealed a potential role of lipid transport, store-operated calcium channel activity, and inositol 1,4,5-trisphosphate binding in resting-state BOLD fluctuations. We conclude that that the heritability of global network efficiency is largely explained by the vascular component of the BOLD response as ascertained by RSFA, which itself has a significant genetic component. Further information on the files uploaded here can be found in the README. Users interested in bulk downloading these summary statistics may find zenodo_get helpful.
description: This work was undertaken using UK Biobank application number 36509. This work was supported by a British Heart Foundation Programme Grant (RG/16/4/32218). H.S.M. is supported by a National Institute for Health Research (NIHR) Senior Investigator award. D.J.T is funded by the Medical Research Council under grant MR/No26896/1 for work unconnected to this study. This research was supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215–20014). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. The funding organisations had no role in any of the following: design and conduct of the study; collection, management, analysis, and interpretation of the data; review, or approval of the manuscript.
description: {"references": ["Bell, S., Tozer, D.J., & Markus H.S. (2022). Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. Scientific Reports, DOI: 10.1038/s41598-022-19106-7"]}
DOI: 10.34740/kaggle/dsv/4140035
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7035752
title: Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production

description: This database contains selected variables associated with the rural economic sector of the Brazilian Legal Amazon distributed at municipal level by technological trajectories (TT) – techno-productive trajectories and their technological variants (TTP) -, as defined and theoretically justified by Costa (2021, p. 217-219). The TTs are designed by a method that combines <em>differentiation and structural signification</em> of rural production in a given territory – hereafter, Method of Differentiation and Structural Signification of Rural Production (M-DESTRU). <em>Structural differentiation</em> (Phase 1) is necessary because production systems activities play different roles, depending on the systems production modes and their territorial context: cattle ranching, for example, performs very different economic functions when practiced in family structures (peasants) in the municipalities of the Lower Amazonas, in comparison with wage-based farms in Southeast Pará; the roles played by temporary crops in the peasant systems of the Lower Tocantins are also quite different from those that are observed among employers' establishments in the Lower Amazon; and so on. This phase of the methodology qualifies these differences and has its procedures described on pages 441 and 442 of Costa (2021). In phase 2, M-DESTRU verifies how these structurally dissimilar activities, combine with others linked to the practices of the agents of each production mode, conforming convergences that result in distinct patterns. These <em>patterns</em> are semantically associated with TTs or TTPs<em> structures</em> that are in movement, and these structures all together make up for the region's rural economic system. This Phase's procedures are detailed on pages 441 and 442 of the aforementioned work. The territory of the Brazilian Legal Amazon encompasses 772 municipalities: all from eight states (Acre, Amapá, Amazonas, Mato Grosso, Pará, Rondônia, Roraima and Tocantins) and part of the State of Maranhão (west of the 44ºW meridian). The base data are from the Brazilian Institute of Geography and Statistics (IBGE), from the 1995, 2006 and 2017 Agricultural Censuses. The credit data for 2017 are from the Central Bank of Brazil. The dataset is organized as: Zen1995_LegalAmazon_Inicial.csv; Zen2006_LegalAmazon_Inicial.csv and Zen2017_LegalAmazon_Inicial.csv. In each table the column names are self-explanatory. Reference: Costa FA. 2021. Structural diversity and change in rural Amazonia: A comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). Nova Economia 31(2).
DOI: 10.5281/zenodo.7035753
title: Database of Rural Technological Trajectories of the Legal Amazon delimited by the Method of Differentiation and Structural Signification of Rural Production

description: This database contains selected variables associated with the rural economic sector of the Brazilian Legal Amazon distributed at municipal level by technological trajectories (TT) – techno-productive trajectories and their technological variants (TTP) -, as defined and theoretically justified by Costa (2021, p. 217-219). The TTs are designed by a method that combines <em>differentiation and structural signification</em> of rural production in a given territory – hereafter, Method of Differentiation and Structural Signification of Rural Production (M-DESTRU). <em>Structural differentiation</em> (Phase 1) is necessary because production systems activities play different roles, depending on the systems production modes and their territorial context: cattle ranching, for example, performs very different economic functions when practiced in family structures (peasants) in the municipalities of the Lower Amazonas, in comparison with wage-based farms in Southeast Pará; the roles played by temporary crops in the peasant systems of the Lower Tocantins are also quite different from those that are observed among employers' establishments in the Lower Amazon; and so on. This phase of the methodology qualifies these differences and has its procedures described on pages 441 and 442 of Costa (2021). In phase 2, M-DESTRU verifies how these structurally dissimilar activities, combine with others linked to the practices of the agents of each production mode, conforming convergences that result in distinct patterns. These <em>patterns</em> are semantically associated with TTs or TTPs<em> structures</em> that are in movement, and these structures all together make up for the region's rural economic system. This Phase's procedures are detailed on pages 441 and 442 of the aforementioned work. The territory of the Brazilian Legal Amazon encompasses 772 municipalities: all from eight states (Acre, Amapá, Amazonas, Mato Grosso, Pará, Rondônia, Roraima and Tocantins) and part of the State of Maranhão (west of the 44ºW meridian). The base data are from the Brazilian Institute of Geography and Statistics (IBGE), from the 1995, 2006 and 2017 Agricultural Censuses. The credit data for 2017 are from the Central Bank of Brazil. The dataset is organized as: Zen1995_LegalAmazon_Inicial.csv; Zen2006_LegalAmazon_Inicial.csv and Zen2017_LegalAmazon_Inicial.csv. In each table the column names are self-explanatory. Reference: Costa FA. 2021. Structural diversity and change in rural Amazonia: A comparative assessment of the technological trajectories based on agricultural censuses (1995, 2006 and 2017). Nova Economia 31(2).
DOI: 10.6084/m9.figshare.20733142
title: Data.xlsx

description: This is the data from our resistance study experiment. Data collected twice in a single season.
DOI: 10.5517/ccdc.csd.cc29llfy
title: CCDC 2133030: Experimental Crystal Structure Determination

description: Related Article: Qingfa Tan, Qianping Chen, Zitong Zhu, Xiaohua Liu|2022|Chem.Commun.|58|9686|doi:10.1039/D2CC03443C
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.cc2bzr36
title: CCDC 2174498: Experimental Crystal Structure Determination

description: Related Article: Yi Xie, Ruyi Song, Akash Singh, Manoj K. Jana, Volker Blum, David B. Mitzi|2022|J.Am.Chem.Soc.|144|15223|doi:10.1021/jacs.2c05574
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.cc2bzr47
title: CCDC 2174499: Experimental Crystal Structure Determination

description: Related Article: Yi Xie, Ruyi Song, Akash Singh, Manoj K. Jana, Volker Blum, David B. Mitzi|2022|J.Am.Chem.Soc.|144|15223|doi:10.1021/jacs.2c05574
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.cc2bzr58
title: CCDC 2174500: Experimental Crystal Structure Determination

description: Related Article: Yi Xie, Ruyi Song, Akash Singh, Manoj K. Jana, Volker Blum, David B. Mitzi|2022|J.Am.Chem.Soc.|144|15223|doi:10.1021/jacs.2c05574
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.20733283
title: CNSET Case

description: RNASeq raw counts and significant OncoTarget predictions (Bonferroni p &lt; 10^-5)
DOI: 10.6084/m9.figshare.20733283.v1
title: CNSET Case

description: RNASeq raw counts and significant OncoTarget predictions (Bonferroni p &lt; 10^-5)