cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25cvv8
title: CCDC 2007400: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cvs6
title: CCDC 2007398: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cvw9
title: CCDC 2007401: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cvxb
title: CCDC 2007402: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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: 10.25912/rdf_1673565546813
title: Food security for people with lived refugee experiences is interrelated with culture and mental health: perspectives from workers supporting the settlement journey in Australia
DOI: 10.6084/m9.figshare.21887559
title: CellChat objects of embryonic E13 and E14 data

description: CellChat objects of embryonic E13 and E14 data
DOI: 10.5281/zenodo.7233121
title: Mutation Testing of Deep Reinforcement Learning Based on Real Faults

description: Trained agents to be used in the replication package of the paper "<em>Mutation Testing of Deep Reinforcement Learning Based on Real Faults</em>" accepted to the International Conference on Software Testing (ICST) 2023. The replication package is at https://github.com/FlowSs/RLMutation.
DOI: 10.5281/zenodo.7233122
title: Mutation Testing of Deep Reinforcement Learning Based on Real Faults

description: Trained agents to be used in the replication package of the paper "<em>Mutation Testing of Deep Reinforcement Learning Based on Real Faults</em>" accepted to the International Conference on Software Testing (ICST) 2023. The replication package is at https://github.com/FlowSs/RLMutation.
DOI: 10.5281/zenodo.7531748
title: Stakeholder perceptions of the impacts of shrub encroachment on rangeland ecosystem services

description: While the impacts of shrub encroachment on the ecosystem processes have been well-documented, little is known about the extent to which socio-cultural values and perceptions might influence actions undertaken to manage shrub proliferation. Understanding stakeholder values is important because the ecosystem’s capacity to supply a given service or suite of services must be balanced against the value society places on them. Research to date has emphasized supply with little consideration of value, making it difficult to comprehensively or objectively evaluate trade-offs and set priorities, particularly when managing for one particular service or a suite of services may adversely affect another service or suite of services. To address this, we conducted a case study in southern Arizona and New Mexico (U.S.A.) to evaluate stakeholder perceptions of and preferences for various ecosystem services provided on semi-arid rangelands where shrub proliferation in grassland has impacted traditional livestock grazing. Perceptions of rangeland ecosystem services were elicited via a visually based landscape interpretation while preferences were quantified using best-worst scaling (BWS). Our findings suggest that stakeholders familiar with rangelands and their management generally perceive low shrub cover as providing a wider range of valued ecosystem services compared to rangelands with high shrub cover. Ecosystem service preferences in the context of shrub encroachment were generally uniform across all stakeholder groups (e.g. ranchers, state/federal governmental employees, non-governmental land managers, academicians, recreationists), with habitat for biodiversity and erosion control being identified as the most preferred. Our results suggest an opportunity for brush management to serve as a potential win-win management action if framed as a way to maintain or promote rangeland biodiversity and mitigate erosion.
description: Data collected from an online survey evaluating stakeholder perceptions of the impacts of shrub encroachment on rangeland ecosystem services. Survey was broken into two sections with the first evaluating visual perceptions of how increases in shrub cover alter the delivery of important rangeland ecosystem services and the second using Best Worst Scaling to evaluate stakeholder preferences for rangeland ecosystem services. All survey responses are attached in the file called "Survey_Response_Base_Data". Zipped files containing data and code (for R) used in analysis of each section are uploaded as well. Please read included .txt files within folders for further metadata.
DOI: 10.5281/zenodo.7531747
title: Stakeholder perceptions of the impacts of shrub encroachment on rangeland ecosystem services

description: While the impacts of shrub encroachment on the ecosystem processes have been well-documented, little is known about the extent to which socio-cultural values and perceptions might influence actions undertaken to manage shrub proliferation. Understanding stakeholder values is important because the ecosystem’s capacity to supply a given service or suite of services must be balanced against the value society places on them. Research to date has emphasized supply with little consideration of value, making it difficult to comprehensively or objectively evaluate trade-offs and set priorities, particularly when managing for one particular service or a suite of services may adversely affect another service or suite of services. To address this, we conducted a case study in southern Arizona and New Mexico (U.S.A.) to evaluate stakeholder perceptions of and preferences for various ecosystem services provided on semi-arid rangelands where shrub proliferation in grassland has impacted traditional livestock grazing. Perceptions of rangeland ecosystem services were elicited via a visually based landscape interpretation while preferences were quantified using best-worst scaling (BWS). Our findings suggest that stakeholders familiar with rangelands and their management generally perceive low shrub cover as providing a wider range of valued ecosystem services compared to rangelands with high shrub cover. Ecosystem service preferences in the context of shrub encroachment were generally uniform across all stakeholder groups (e.g. ranchers, state/federal governmental employees, non-governmental land managers, academicians, recreationists), with habitat for biodiversity and erosion control being identified as the most preferred. Our results suggest an opportunity for brush management to serve as a potential win-win management action if framed as a way to maintain or promote rangeland biodiversity and mitigate erosion.
description: Data collected from an online survey evaluating stakeholder perceptions of the impacts of shrub encroachment on rangeland ecosystem services. Survey was broken into two sections with the first evaluating visual perceptions of how increases in shrub cover alter the delivery of important rangeland ecosystem services and the second using Best Worst Scaling to evaluate stakeholder preferences for rangeland ecosystem services. All survey responses are attached in the file called "Survey_Response_Base_Data". Zipped files containing data and code (for R) used in analysis of each section are uploaded as well. Please read included .txt files within folders for further metadata.
DOI: 10.6084/m9.figshare.21893133
title: Links to rare climates do not translate into distinct traits for island endemics

description: The data and code provided here support a published paper of the same title (doi to be confirmed). <br> 'Final_script_funrar_FigShare' is the code to be used with the following data: <br> 'funrar_trait_env_FlorCan_revised' is the main data file that contains trait data and environmental data (including climatic rarity). <br> 'Tenerife_field_trait_data' is additional trait data for Tenerife (used for the supporting information) <br> 'tree_mb_final' is a phylogenetic tree for the species used in the study. This is a pruned tree obtained from Smith & Brown (2018) <br> 'bias_test' is the climatic rarity data for all species that have distribution data. Not all of these species have trait data, so this can be used to test for bias caused by train 'missingness'.
DOI: 10.25919/cz9w-4n62
title: Parkes observations for project P1171 semester 2022OCTS_02

description: The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, since objects of this type have been previously identified as FRB hosts. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve.
DOI: 10.5281/zenodo.7527547
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2012 (001–177)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2012 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2011 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2012 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7527546
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2012 (001–177)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2012 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2011 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2012 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2012 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5519/qd.l37q9s0k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.nafkl3u4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.25921/txz3-rt90
title: ES60 Water Column Sonar Data Collected During BE201201
DOI: 10.25921/ffk8-8b11
title: ES60 Water Column Sonar Data Collected During BE201301
DOI: 10.25452/figshare.plus.21761465
title: A Non-Laboratory Gait Dataset of Full Body Kinematics and Egocentric Vision (Part 2)

description: The dataset contain full-body kinematics for walking, with and without stops, stair ambulation, obstacle course navigation, dynamic movements intended to test agility, and negotiating common obstacles in public spaces such as chairs. The dataset contains 24.2 total hours of movement data from a college student population with an approximately equal split of males to females. In addition, for one of the activities, we captured the egocentric field of view and gaze of the subjects using an eye tracker. Note that this is a subset of the entire data described in https://github.com/abs711/The-way-of-the-future. This repository contains 19 subjects for the Activity 6. The remaining data can be accessed through the other figshare repository on https://github.com/abs711/The-way-of-the-future
DOI: 10.5517/ccdc.csd.cc25cvyc
title: CCDC 2007403: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cvzd
title: CCDC 2007404: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw0g
title: CCDC 2007405: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw1h
title: CCDC 2007406: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw2j
title: CCDC 2007407: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw3k
title: CCDC 2007408: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw4l
title: CCDC 2007409: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw5m
title: CCDC 2007410: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw6n
title: CCDC 2007411: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.cc25cw7p
title: CCDC 2007412: Experimental Crystal Structure Determination

description: Related Article: W.F. Sanjuan-Szklarz, M. Woińska, S. Domagała, P.M. Dominiak, S. Grabowsky, D. Jayatilaka, M. Gutmann, K. Woźniak|2020|IUCrJ|7|920|doi:10.1107/S2052252520010441
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.