cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25011156
title: S3_all_filtered_occurrence_records.csv from The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot

description: Improving models of species' distributions is essential for conservation, especially in light of global change. Species distribution models (SDMs) often rely on mean environmental conditions, yet species distributions are also a function of environmental heterogeneity and filtering acting at multiple spatial scales. Geodiversity, which we define as the variation of abiotic features and processes of Earth's entire geosphere (inclusive of climate), has potential to improve SDMs and conservation assessments, as they capture multiple abiotic dimensions of species niches, however they have not been sufficiently tested in SDMs. We tested a range of geodiversity variables computed at varying scales using climate and elevation data. We compared predictive performance of MaxEnt SDMs generated using CHELSA bioclimatic variables to those also including geodiversity variables for 31 mammalian species in Colombia. Results show the spatial grain of geodiversity variables affects SDM performance. Some variables consistently exhibited an increasing or decreasing trend in variable importance with spatial grain, showing slight scale-dependence and indicating that some geodiversity variables are more relevant at particular scales for some species. Incorporating geodiversity variables into SDMs, and doing so at the appropriate spatial scales, enhances the ability to model species-environment relationships, thereby contributing to the conservation and management of biodiversity.This article is part of the Theo Murphy meeting issue ‘Geodiversity science for society’.
DOI: 10.6084/m9.figshare.25011156.v1
title: S3_all_filtered_occurrence_records.csv from The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot

description: Improving models of species' distributions is essential for conservation, especially in light of global change. Species distribution models (SDMs) often rely on mean environmental conditions, yet species distributions are also a function of environmental heterogeneity and filtering acting at multiple spatial scales. Geodiversity, which we define as the variation of abiotic features and processes of Earth's entire geosphere (inclusive of climate), has potential to improve SDMs and conservation assessments, as they capture multiple abiotic dimensions of species niches, however they have not been sufficiently tested in SDMs. We tested a range of geodiversity variables computed at varying scales using climate and elevation data. We compared predictive performance of MaxEnt SDMs generated using CHELSA bioclimatic variables to those also including geodiversity variables for 31 mammalian species in Colombia. Results show the spatial grain of geodiversity variables affects SDM performance. Some variables consistently exhibited an increasing or decreasing trend in variable importance with spatial grain, showing slight scale-dependence and indicating that some geodiversity variables are more relevant at particular scales for some species. Incorporating geodiversity variables into SDMs, and doing so at the appropriate spatial scales, enhances the ability to model species-environment relationships, thereby contributing to the conservation and management of biodiversity.This article is part of the Theo Murphy meeting issue ‘Geodiversity science for society’.
DOI: 10.6084/m9.figshare.25011162
title: SS5_stats_mean.csv from The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot

description: Improving models of species' distributions is essential for conservation, especially in light of global change. Species distribution models (SDMs) often rely on mean environmental conditions, yet species distributions are also a function of environmental heterogeneity and filtering acting at multiple spatial scales. Geodiversity, which we define as the variation of abiotic features and processes of Earth's entire geosphere (inclusive of climate), has potential to improve SDMs and conservation assessments, as they capture multiple abiotic dimensions of species niches, however they have not been sufficiently tested in SDMs. We tested a range of geodiversity variables computed at varying scales using climate and elevation data. We compared predictive performance of MaxEnt SDMs generated using CHELSA bioclimatic variables to those also including geodiversity variables for 31 mammalian species in Colombia. Results show the spatial grain of geodiversity variables affects SDM performance. Some variables consistently exhibited an increasing or decreasing trend in variable importance with spatial grain, showing slight scale-dependence and indicating that some geodiversity variables are more relevant at particular scales for some species. Incorporating geodiversity variables into SDMs, and doing so at the appropriate spatial scales, enhances the ability to model species-environment relationships, thereby contributing to the conservation and management of biodiversity.This article is part of the Theo Murphy meeting issue ‘Geodiversity science for society’.
DOI: 10.6084/m9.figshare.25011162.v1
title: SS5_stats_mean.csv from The influence of scale-dependent geodiversity on species distribution models in a biodiversity hotspot

description: Improving models of species' distributions is essential for conservation, especially in light of global change. Species distribution models (SDMs) often rely on mean environmental conditions, yet species distributions are also a function of environmental heterogeneity and filtering acting at multiple spatial scales. Geodiversity, which we define as the variation of abiotic features and processes of Earth's entire geosphere (inclusive of climate), has potential to improve SDMs and conservation assessments, as they capture multiple abiotic dimensions of species niches, however they have not been sufficiently tested in SDMs. We tested a range of geodiversity variables computed at varying scales using climate and elevation data. We compared predictive performance of MaxEnt SDMs generated using CHELSA bioclimatic variables to those also including geodiversity variables for 31 mammalian species in Colombia. Results show the spatial grain of geodiversity variables affects SDM performance. Some variables consistently exhibited an increasing or decreasing trend in variable importance with spatial grain, showing slight scale-dependence and indicating that some geodiversity variables are more relevant at particular scales for some species. Incorporating geodiversity variables into SDMs, and doing so at the appropriate spatial scales, enhances the ability to model species-environment relationships, thereby contributing to the conservation and management of biodiversity.This article is part of the Theo Murphy meeting issue ‘Geodiversity science for society’.
DOI: 10.6084/m9.figshare.19235748.v1
title: Chromosomal-level reference genome of the ricefield flatsedge Cyperus iria L. that produces insect sesquiterpenoid juvenile hormone

description: Grass-like plants in the family Cyperaceae, which are commonly known as the sedges, are graminoid and monocotyledonous flowering. They have a wide geographical distribution globally and have been found growing in almost all environments. <i>Cyperus iria </i>L., commonly known as ricefield flatsedge, is a widespread weed in Asia. Previous studies have identified insect juvenile hormone in <i>C. iria</i>, which could cause lethality in mosquito, inhibit crop seed germination, and contribute to antifungal properties. Here, we present a chromosomal-level genome assembly for <i>C. iria</i>. The 489.5 Mb genome assembly is of high physical contiguity, with a scaffold N50 of 2.3 Mbp, and high completeness, with a 97.7% BUSCO score. We include XX transcriptomes from various plant tissues at different conditions, providing a total of 51,340 gene models. We reveal the first complete set of genes involved in sesquiterpenoid production and plant defence for the genus <i>Cyperus</i>, including genes involved in the biosynthesis of sesquiterpenoids via the mevalonic acid (MVA) and methylerythritol phosphate (MEP) pathways. On the contrary, we could not identify the insect sesquiterpenoid biosynthetic pathway genes, suggesting the detection of its insect juvenile hormone could be due to another endogenous pathway or interactions with symbionts. Our study reveals the first chromosomal-level genome assembly for the weed in the genus <i>Cyperus</i>, and provides a foundation to address a variety of basic and applied questions in the Cyperaceae more widely.
DOI: 10.6084/m9.figshare.19235748
title: <b>Genome of flatsedge </b><b>Cyperus iria</b><b> (Cyperacerae)</b>

description: Genome and genome annotation files.
DOI: 10.6084/m9.figshare.19235748.v2
title: <b>Genome of flatsedge </b><b>Cyperus iria</b><b> (Cyperacerae)</b>

description: Genome and genome annotation files.
DOI: 10.5281/zenodo.7534571
title: Solid-state NMR assignment data of TasA filaments

description: Raw and processed solid-state NMR data of the main biofilm protein TasA from Bacillus subtilis. The CCPN 2.4.2 assignment project is contained which includes all data deposited in the BMRB under accession code 51785. Talos+ output is included as well.

The results are presented in the publication

Roske, Y., Lindemann, F., Diehl, A. et al. TapA acts as specific chaperone in TasA filament formation by strand complementation. Proc. Natl. Acad. Sci. USA 17, 120 (2023). https://doi.org/10.1073/pnas.2217070120

and my thesis

"A Structural View on Mechanisms of Bacterial Communal Life and Toxicity" submitted to the Free University Berlin (http://dx.doi.org/10.17169/refubium-41725).



Notes
DOI: 10.5281/zenodo.7534572
title: Solid-state NMR assignment data of TasA filaments

description: Raw and processed solid-state NMR data of the main biofilm protein TasA from Bacillus subtilis. The CCPN 2.4.2 assignment project is contained which includes all data deposited in the BMRB under accession code 51785. Talos+ output is included as well.

The results are presented in the publication

Roske, Y., Lindemann, F., Diehl, A. et al. TapA acts as specific chaperone in TasA filament formation by strand complementation. Proc. Natl. Acad. Sci. USA 17, 120 (2023). https://doi.org/10.1073/pnas.2217070120

and my thesis

"A Structural View on Mechanisms of Bacterial Communal Life and Toxicity" submitted to the Free University Berlin (http://dx.doi.org/10.17169/refubium-41725).



Notes
DOI: 10.7488/ds/7491
title: SHARE-MH cohort Mental Health Survey
title: SHARE-MH

description: The SHARE Mental Health (SHARE-MH) cohort was established to address the paucity of clinical and genetic data available for mental health research. The cohort brings together detailed mental health questionnaire responses, routinely-collected electronic health data and genetic data to provide researchers with an unprecedented linkable dataset. This data represents the mental health survey that was sent to participants of the SHARE research register, and which forms the basis for the SHARE-MH cohort. It provides research-grade individual-level data on mental health and the experiences of those interacting with healthcare services.
description: Readme.txt - An overview of the dataset and description of how it was created. Processed Data Dictionary.csv - Data dictionary SHARE-MH Mental Health Survey.pdf - Copy of the mental health survey presented to participants.
DOI: 10.5281/zenodo.10515005
title: Multi-crystal diffuse scattering dataset from cubic insulin

description: Diffraction data from two large bovine insulin crystals (space group I 21 3) at ambient temperature. Data were collected at the Cornell High Energy Synchrotron Source (CHESS) beamline F1 using a protocol for macromolecular diffuse scattering, which includes the collection of background images. 

Contents:

insulin_<crystal>_<sweep>.tgz -- each containing 500 diffraction images (50 degrees of rotation). Crystal is 1 or 2, sweep index corresponds to different regions of the crystal and different starting angles.

insulin_<crystal>_bkg.tgz -- each containing 360 background images (360 degrees of rotation).
DOI: 10.5281/zenodo.10515006
title: Multi-crystal diffuse scattering dataset from cubic insulin

description: Diffraction data from two large bovine insulin crystals (space group I 21 3) at ambient temperature. Data were collected at the Cornell High Energy Synchrotron Source (CHESS) beamline F1 using a protocol for macromolecular diffuse scattering, which includes the collection of background images. 

Contents:

insulin_<crystal>_<sweep>.tgz -- each containing 500 diffraction images (50 degrees of rotation). Crystal is 1 or 2, sweep index corresponds to different regions of the crystal and different starting angles.

insulin_<crystal>_bkg.tgz -- each containing 360 background images (360 degrees of rotation).
DOI: 10.5517/ccdc.csd.cc2h7jlw
title: CCDC 2301148: Experimental Crystal Structure Determination

description: Related Article: Shingo Tsuji, Norihiro Tokitoh, Hiroko Yamada, Yoshiyuki Mizuhata|2024|Inorg.Chem.Front.|11|400|doi:10.1039/D3QI02183A
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.cc2h7k6j
title: CCDC 2301167: Experimental Crystal Structure Determination

description: Related Article: Anna Lamprecht, Merle Arrowsmith, Maximilian Dietz, Sonja Fuchs, Anna Rempel, Marcel Härterich, Holger Braunschweig|2024|Dalton Trans.|53|1004|doi:10.1039/D3DT03826B
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.cc2h7k7k
title: CCDC 2301168: Experimental Crystal Structure Determination

description: Related Article: Anna Lamprecht, Merle Arrowsmith, Maximilian Dietz, Sonja Fuchs, Anna Rempel, Marcel Härterich, Holger Braunschweig|2024|Dalton Trans.|53|1004|doi:10.1039/D3DT03826B
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.cc2h7k8l
title: CCDC 2301169: Experimental Crystal Structure Determination

description: Related Article: Anna Lamprecht, Merle Arrowsmith, Maximilian Dietz, Sonja Fuchs, Anna Rempel, Marcel Härterich, Holger Braunschweig|2024|Dalton Trans.|53|1004|doi:10.1039/D3DT03826B
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.cc2h7k9m
title: CCDC 2301170: Experimental Crystal Structure Determination

description: Related Article: Anna Lamprecht, Merle Arrowsmith, Maximilian Dietz, Sonja Fuchs, Anna Rempel, Marcel Härterich, Holger Braunschweig|2024|Dalton Trans.|53|1004|doi:10.1039/D3DT03826B
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: 10.34740/kaggle/dsv/7418981
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/7419028
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7419029
title: OnlineFree
DOI: 10.25502/dxnp-5p73/d
title: EVALUATION OF POST-EMERGENCE HERBICIDES FOR WEED CONTROL IN COWPEA (Vigina Unguiculata) in Sudan and Guinea savanna zone of Nigeria

description: Kano State Agro-Pastoral Development Project (KSADP) and Climate Smart Agricultural Technologies (CSAT) for improved Rural Livelihoods and Food Security in Mali and Niger.
DOI: 10.5281/zenodo.10375518
title: MEGAN Input Data Version 2310

description: MEGANv3.2 Input files version 2310 (Created October 2023)

Contact: Alex Guenther, UC Irvine: alex.guenther@uci.edu

Soil.zip (contains soil_climatic.nc, soil_fert.nc, soil_landtype.nc, soil_nitro): These files drive the biogenic NOx emissions module 

 

veg_GrowthFormFracions.nc: distributions of plant growth forms

 

veg_LAIv: monthly variations of Leaf Area Index of vegetation covered surfaces

 

Veg_Ecotypes.nc: distributions of BVOC emission types
DOI: 10.5281/zenodo.10375519
title: MEGAN Input Data Version 2310

description: MEGANv3.2 Input files version 2310 (Created October 2023)

Contact: Alex Guenther, UC Irvine: alex.guenther@uci.edu

Soil.zip (contains soil_climatic.nc, soil_fert.nc, soil_landtype.nc, soil_nitro): These files drive the biogenic NOx emissions module 

 

veg_GrowthFormFracions.nc: distributions of plant growth forms

 

veg_LAIv: monthly variations of Leaf Area Index of vegetation covered surfaces

 

Veg_Ecotypes.nc: distributions of BVOC emission types
DOI: 10.5281/zenodo.6534422
title: Liste, travaux et publications des Groupes thématiques numériques (2017-2023)

description: Liste, travaux et publications des Groupes thématiques numériques sur la période 2017-2023.
description: Les groupes thématiques numériques (GTnum) sont coordonnés par la Direction du numérique pour l'éducation du Ministère de l'Education nationale. Les GTnum ont pour objectif de mettre à disposition des équipes éducatives, de façon accessible et ouverte, un état de la recherche sur quelques grandes thématiques relatives au numérique dans l'éducation.
DOI: 10.5281/zenodo.6534423
title: Liste, travaux et publications des Groupes thématiques numériques (2017-2020)

description: Liste, travaux et publications des Groupes thématiques numériques sur la période 2017-2020.
description: Les groupes thématiques numériques (GTnum) sont coordonnés par la Direction du numérique pour l'éducation du Ministère de l'Education nationale, de la Jeunesse et des Sports. Les GTnum ont pour objectif de mettre à disposition des équipes éducatives, de façon accessible et ouverte, un état de la recherche sur quelques grandes thématiques relatives au numérique dans l'éducation. Financeur du projet : « Ministère de l'Éducation nationale, de la Jeunesse et des Sports »
DOI: 10.6084/m9.figshare.25011530
title: Comparators

description: This is the dataset for “What is the Folk Concept of Discrimination? Discriminators and Comparators”
DOI: 10.6084/m9.figshare.25011530.v1
title: Comparators

description: This is the dataset for “What is the Folk Concept of Discrimination? Discriminators and Comparators”
DOI: 10.6084/m9.figshare.24866169.v1
title: Artical-2023-12

description: This is the raw data from the article (Suspended sediment exchange between the Changjiang Estuary and Hangzhou Bay and their key drivers).
DOI: 10.4121/d71ca324-2d4b-4b34-9f03-72e4f5b3c3bf
title: Data for XS grant - Innovative single-step approach to printable and flexible diamond sensors

description: The data in this dataset were obtained during the execution (1 year) of the grant project focused on “Innovative single-step approach to printable and flexible diamond sensors”. Dataset comprises raw data and/or exported files (in order to process them in a suitable software such as Excel or Origin) from different type of measurements (e.g., Raman spectroscopy, mechanical tensile tests, electrochemical (EC) measurements), images (scanning electron micrographs; optical micrographs; photos of the setup/electrodes; exported images from EC measurements), Origin and Excel files with plotted graphs. The dataset is divided into several sections with clear headings, therefore the individual measurements can be easily identified.
DOI: 10.4121/d71ca324-2d4b-4b34-9f03-72e4f5b3c3bf.v1
title: Data for XS grant - Innovative single-step approach to printable and flexible diamond sensors

description: The data in this dataset were obtained during the execution (1 year) of the grant project focused on “Innovative single-step approach to printable and flexible diamond sensors”. Dataset comprises raw data and/or exported files (in order to process them in a suitable software such as Excel or Origin) from different type of measurements (e.g., Raman spectroscopy, mechanical tensile tests, electrochemical (EC) measurements), images (scanning electron micrographs; optical micrographs; photos of the setup/electrodes; exported images from EC measurements), Origin and Excel files with plotted graphs. The dataset is divided into several sections with clear headings, therefore the individual measurements can be easily identified.
DOI: 10.25502/pv74-qv95/d
title: EVALUATION  OF THE PEFORMANCE OF DIVERSE  MAIZE VARIETIES UNDER DIFFERNT SOWING WINDOW IN THE IN SUDAN AND GUINEA SAVANNA ZONE OF NIGERIA USING THE CERES-MAIZE MODEL
DOI: 10.6084/m9.figshare.23695146
title: Result Dataset for the IOGC model

description: The dataset of the main results in the paper "Cascade Effects of Global Supply Chains Induced by Regional Conflicts Will Increase Global Inequality". More details can be found in the paper.
DOI: 10.6084/m9.figshare.23695146.v2
title: Result Dataset for the IOGC model

description: The dataset of the main results in the paper "Cascade Effects of Global Supply Chains Induced by Regional Conflicts Will Increase Global Inequality". More details can be found in the paper.
DOI: 10.6084/m9.figshare.23695146.v1
title: Result Dataset for RU

description: The dataset of the results in the paper "Russia–Ukraine Grain Crisis-Induced Cascade Threatens Global Heavy Manufacturing"
DOI: 10.5281/zenodo.4725806
title: Data for "Anomalous intensities in the infrared emission of CH+ explained by quantum nuclear motion and electric dipole calculations"

description: Raw and final data for "Anomalous intensities in the infrared emission of CH+ explained by quantum nuclear motion and electric dipole calculations". CFOUR input files and output grids are provided for the (EOM-)CCSDT/cc-pCVQZ electronic energy and dipole calculations for the X and A states of CH+. Plaintext ASCII versions of Tables B1 and B2 from the manuscript are also included. See README.txt for details.
DOI: 10.15154/1504041
title: Adolescent Brain Cognitive Development Study (ABCD) 2.0.1 release

description: Due to reporting compilation and processing errors in 2.0 Data Release, a 2.0.1 Fix Release has been issued. Please ensure curated data (datasheets, minimally processed data) from the original Data Release 2.0 are replaced with data from 2.0.1 Fix Release. The following release notes were updated to reflect these changes: NDA 2.0.1 Release Notes ABCD README FIRST NDA 2.0.1 Release Notes Imaging Instruments NDA 2.0.1 Changes and Known Issues Fix Release 2.0.1 NDA 2.0.1 Diffusion Magnetic Resonance Imaging NDA 2.0.1 Task-Based Functional Magnetic Resonance Imaging NDA 2.0.1 Mental Health NDA 2.0.1 Genetics Registered users can obtain more information from https://nda.nih.gov/study.html?id=721, and access updated data via Option One or Option Two using the NDA Query Tool - https://nda.nih.gov/general-query.html.. For downloading only updated minimally processed imaging data, add the Minimally Processed "Release 2.0.1" to the Workspace via Option Two.