cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fc3ea44adf5b661d98908b5e5b40e851
title: RCS01 Recovery and relative influence of root, microbial, and structural properties of soil on physically sequestered carbon stocks in restored grassland at Konza Prairie

description: Managing soil to sequester C can help mitigate increasing CO2 in the atmosphere. To maximize this ecosystem service, more knowledge of factors influencing C sequestration is needed. The objectives of this study were to (i) quantify recovery of the roots, microbial biomass and composition, and soil structure across a chronosequence of grassland restorations and (ii) use a structural equation model to develop a data-based hypothesis on the relative influence of physical and biological soil properties on the soil C aggregate fraction diagnostic of sequestered C. We hypothesized measured variables would recover with restoration age. Belowground plant biomass and tissue quality (C/N ratio), soil microbial biomass C, phospholipid fatty acid (PLFA) concentrations, soil structure, and soil C stocks in the bulk soil and each aggregate fraction were quantified from a cultivated field, prairies restored for 1 to 35-yr (n = 6), and a never-cultivated (native) prairie. Root biomass, microbial biomass C, arbuscular mycorrhizal fungi (AMF) PLFA biomass across the chronosequence increase to resemble native prairie following 35 yr of restoration. Many aspects of soil structure (i.e., bulk density, proportional mass of aggre- gate fractions, and aggregate mean weighted diameter) and the distribution C among soil fractions, including C in the micro-within-macro aggregate fraction (sequestered C), also became representative of native prairie within 35 yr of restoration. Total soil C stock and physically protected C increased at a similar rate (23 and 27 g C m-2 yr-1) respectively, across the chronosequence. After 35 yr of restoration, 50% of the total C pool was physically protected. The structural equation modeling developed by these data hypothesizes that microbial biomass C and AMF biomass (microbial composition) have the strongest causal influence on physically protected C. This model needs to be tested using independent sites to achieve greater inference.
DOI: 10.6084/m9.figshare.21424824
title: Neural substrates of sex-dependent modulation of motivation

description: Contains data to generate figures in Cox, J., Minerva, A.R., Fleming, W.T. <em>et al.</em> A neural substrate of sex-dependent modulation of motivation. <em>Nat Neurosci</em> (2023). https://doi.org/10.1038/s41593-022-01229-9 <br> code to generate figures available at https://github.com/juliamcox/ACC-sex-diffs <br> ftrace.zip contains raw fluorescence traces for all imaged neurons (labeled with recording and animal ID) <br> data_archive.zip contains mat files with processed data for generating figures including allBehaviorData_perfThresh0.1_bin4_choiceBin9_cohortOpto_ACC_DMS_nphr_long_intThresh300_qLearn_session_all.mat which is a table containing all trials from control and optogenetics sessions <br>
DOI: 10.6084/m9.figshare.21424824.v7
title: Neural substrates of sex-dependent modulation of motivation

description: Contains data to generate figures in Cox, J., Minerva, A.R., Fleming, W.T. <em>et al.</em> A neural substrate of sex-dependent modulation of motivation. <em>Nat Neurosci</em> (2023). https://doi.org/10.1038/s41593-022-01229-9 <br> code to generate figures available at https://github.com/juliamcox/ACC-sex-diffs <br> ftrace.zip contains raw fluorescence traces for all imaged neurons (labeled with recording and animal ID) <br> data_archive.zip contains mat files with processed data for generating figures including allBehaviorData_perfThresh0.1_bin4_choiceBin9_cohortOpto_ACC_DMS_nphr_long_intThresh300_qLearn_session_all.mat which is a table containing all trials from control and optogenetics sessions <br>
DOI: 10.6073/pasta/62ed791e1b381e4e824a0bad18890c60
title: RFP01 Properties of large hillslope blocks and cliff faces along the cottonwood limestone near the konza prairie nature trail

description: This data is a collection of point observations and measurments of large rock fragments on grassland hillslopes. Data was collected from 30 hillslope transects that extend downslope perpidicular from the bedrock cliff formed from the Cottonwodd limestone. Transects are 30 meters long and 1 meter wide. Observations of blocks include properites such as size, shape, and surface weathering. This data set also includes observtions of cliff properties associated with each transpect location. Measurments we made in field by hand for rock fragments larger than pebble (&gt;64mm).
DOI: 10.26078/z54v-8j64
title: Dynamic Fecal Microbiota Transfer from Mice with Western Diet-Induced Severe Colitis and Colon Tumorigenesis Did Not Exacerbate Colitis Symptoms or Colon Tumorigenesis in Recipient Mice Fed Either the AIN93G Diet or the Total Western Diet
DOI: 10.34740/kaggle/dsv/2424771
title: MiniBooNE
DOI: 10.5281/zenodo.7584486
title: Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: The code for the numerical analysis and parametric walks for both the single strain and specialization model for the paper "Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist " Programs Need: Python, Jyupter notebooks and WinZip (to unzip the package). The Data files: The Data files are in .OUT meaning they can be overwritten if the code is run again, so if one wishes to examine the outputs, copy them into another folder or create a second copy of this folder to investigae Numerical Analysis The numerical analysis was conducted using the ode() function and ’lsoda’ method in Scientific Python (vers. 0.19.0). The ’lsoda’ method was used because both the single-strain model and specialization model are numerically ’stiff’. Parameters for ’lsoda’ were set to their default values, except for runs that characterized all outcomes of the model (both coexistence and exclusion); here, numerical tolerance parameters atol and was lowered to 10−9. The default tolerance values (which are both equal to 10−5) were used for runs that specifically sought coexistence of PSK+ and PSK- plasmids. These larger tolerances may miss some points of coexistence, but allow for faster numerical simulation, which was necessary given that a large number of parameter sets needed to be studied to find points of coexistence. In all cases numerical solutions were checked that they successfully completed the full time interval, which in our case was 109 time steps. Numerical analysis also used the numpy library (vers. 1.12.1) and the Python environment was vers. 3.6.1. Python scripts of the numerical systems are provided as further Supplementary Materials, as well as Juypter Notebooks that allow for the examination of single parameter sets. Parameteric Walks To assess whether points of coexistence of PSK- and PSK+ are mutationally connected, we took one point of coexistence for each of the single-strain and specialization models and subjected them to a parameter walk. A parameter walk consist of starting at a point of coexistence and running the simulations again with parameters randomly perturbed from their initial value. In particular, the parameter walk was either unbiased or biased. For an unbiased walk, a parameter was perturbed uniformly to up to 10% above or 10% below its current value. For a biased walk, a parameter was uniformly perturbed 1% above and 10% below, or 10% above and 1% below its current value. If a random perturbation of parameter resulted in a new coexistence point, that set of parameters was taken as the current set and perturbed again.
DOI: 10.5281/zenodo.7584485
title: Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist

description: The code for the numerical analysis and parametric walks for both the single strain and specialization model for the paper "Spatial structure and benefits to hosts allow plasmids with and without post-segregational killing (PSK) systems to coexist " Programs Need: Python, Jyupter notebooks and WinZip (to unzip the package). The Data files: The Data files are in .OUT meaning they can be overwritten if the code is run again, so if one wishes to examine the outputs, copy them into another folder or create a second copy of this folder to investigae Numerical Analysis The numerical analysis was conducted using the ode() function and ’lsoda’ method in Scientific Python (vers. 0.19.0). The ’lsoda’ method was used because both the single-strain model and specialization model are numerically ’stiff’. Parameters for ’lsoda’ were set to their default values, except for runs that characterized all outcomes of the model (both coexistence and exclusion); here, numerical tolerance parameters atol and was lowered to 10−9. The default tolerance values (which are both equal to 10−5) were used for runs that specifically sought coexistence of PSK+ and PSK- plasmids. These larger tolerances may miss some points of coexistence, but allow for faster numerical simulation, which was necessary given that a large number of parameter sets needed to be studied to find points of coexistence. In all cases numerical solutions were checked that they successfully completed the full time interval, which in our case was 109 time steps. Numerical analysis also used the numpy library (vers. 1.12.1) and the Python environment was vers. 3.6.1. Python scripts of the numerical systems are provided as further Supplementary Materials, as well as Juypter Notebooks that allow for the examination of single parameter sets. Parameteric Walks To assess whether points of coexistence of PSK- and PSK+ are mutationally connected, we took one point of coexistence for each of the single-strain and specialization models and subjected them to a parameter walk. A parameter walk consist of starting at a point of coexistence and running the simulations again with parameters randomly perturbed from their initial value. In particular, the parameter walk was either unbiased or biased. For an unbiased walk, a parameter was perturbed uniformly to up to 10% above or 10% below its current value. For a biased walk, a parameter was uniformly perturbed 1% above and 10% below, or 10% above and 1% below its current value. If a random perturbation of parameter resulted in a new coexistence point, that set of parameters was taken as the current set and perturbed again.
DOI: 10.6073/pasta/f7e6a5442bd9bd37c1e97798d42b111a
title: SDR01 Intra-clonal stem demography of Cornus drummondii in response to fire and browsing at Konza Prairie

description: Intra-clonal stem density, natality, mortality, flowering and relative growth rate within discrete Cornus drummondii shrubs in response to fire frequency (4- vs 20-yr burn intervals) and simulated browsing. Tagged stems within individual shrubs were tracked and measured at the beginning and end of each growing season in 2018 and 2019 to assess the interactions of fire and browsing on stem demography.
DOI: 10.5517/ccdc.csd.cc25bts4
title: CCDC 2006406: Experimental Crystal Structure Determination

description: Related Article: Delbert S. Botes, Sanaz Khorasani, Demetrius C. Levendis, Manuel A. Fernandes|2022|CrystEngComm|24|7563|doi:10.1039/D2CE01094A
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.cc25btt5
title: CCDC 2006407: Experimental Crystal Structure Determination

description: Related Article: Delbert S. Botes, Sanaz Khorasani, Demetrius C. Levendis, Manuel A. Fernandes|2022|CrystEngComm|24|7563|doi:10.1039/D2CE01094A
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.cc25btv6
title: CCDC 2006408: Experimental Crystal Structure Determination

description: Related Article: Delbert S. Botes, Sanaz Khorasani, Demetrius C. Levendis, Manuel A. Fernandes|2022|CrystEngComm|24|7563|doi:10.1039/D2CE01094A
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.cc25bv0d
title: CCDC 2006413: Experimental Crystal Structure Determination

description: Related Article: Delbert S. Botes, Sanaz Khorasani, Demetrius C. Levendis, Manuel A. Fernandes|2022|CrystEngComm|24|7563|doi:10.1039/D2CE01094A
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.cc25bv2g
title: CCDC 2006415: Experimental Crystal Structure Determination

description: Related Article: Delbert S. Botes, Sanaz Khorasani, Demetrius C. Levendis, Manuel A. Fernandes|2022|CrystEngComm|24|7563|doi:10.1039/D2CE01094A
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.cc27z0hr
title: CCDC 2084424: Experimental Crystal Structure Determination

description: Related Article: Chen-Hui Liu, Wei-Hui Fang, Yayong Sun, Shuyang Yao, San-Tai Wang, Dongfei Lu, Jian Zhang|2021|Angew.Chem.,Int.Ed.|60|21426|doi:10.1002/anie.202107227
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.cc2c270q
title: CCDC 2176882: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2c271r
title: CCDC 2176883: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2c272s
title: CCDC 2176884: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.cc2c8p8m
title: CCDC 2183090: Experimental Crystal Structure Determination

description: Related Article: Alexander Grasruck, Giorgio Parla, Frank W. Heineman, Jens Langer, Alberto Herrera, Sybille Frieß, Günter Schmid, Romano Dorta|2023|New J.Chem.|47|2307|doi:10.1039/D2NJ05222A
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.21979967
title: WoS-CSI.accdb

description: A data set comparing web of science and Chinese bibliometric database in terms of most productive authors among 115 disciplines
DOI: 10.5517/ccdc.csd.cc2ckbhs
title: CCDC 2191405: Experimental Crystal Structure Determination

description: Related Article: Akiko Asano, Katsuhiko Minoura, Takeshi Yamada, Mitsunobu Doi|2023|RSC Advances|13|2458|doi:10.1039/D2RA07063D
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.cc2ckpyl
title: CCDC 2191760: Experimental Crystal Structure Determination

description: Related Article: Jingyi Zhou, Tian Ke, Yifei Song, Hongyi Cai, Zhuo’an Wang, Luyao Chen, Qianqian Xu, Zhiguo Zhang, Zongbi Bao, Qilong Ren, Qiwei Yang|2022|J.Am.Chem.Soc.|144|21417|doi:10.1021/jacs.2c10595
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.cc2cl7bk
title: CCDC 2192268: Experimental Crystal Structure Determination

description: Related Article: Taraneh Hajiashrafi, Mohaddeseh Sheikholeslami, Maryam Ahmadi Arjanaki, Sara Tarighi, Zhifang Guo, Peter C. Junk|2023|New J.Chem.|47|2230|doi:10.1039/D2NJ04116B
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.cc2cl7cl
title: CCDC 2192269: Experimental Crystal Structure Determination

description: Related Article: Taraneh Hajiashrafi, Mohaddeseh Sheikholeslami, Maryam Ahmadi Arjanaki, Sara Tarighi, Zhifang Guo, Peter C. Junk|2023|New J.Chem.|47|2230|doi:10.1039/D2NJ04116B
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: 10.3886/nkv0-gw11
title: Malawi Compact - Power Sector Reform: Interim Analysis Report 2
DOI: 10.3886/cc30-t045
title: Malawi Compact - Power Sector Reform: Interim Analysis Report 2
DOI: 10.26093/cds/vizier.36310030
title: Emission line flux densities for 12 YSOs

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Infrared and sub-mm observations of outbursting young stars with Herschel and Spitzer.' (bibcode: 2019A&A...631A..30P)
DOI: 10.26093/cds/vizier.36590135
title: 178 debris systems

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Planet populations inferred from debris discs. Insights from 178 debris systems in the ISPY, LEECH, and LIStEN planet-hunting surveys.' (bibcode: 2022A&A...659A.135P)
DOI: 10.26093/cds/vizier.36590003
title: magnetically active stars FIP bias sample

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Extending the FIP bias sample to magnetically active stars: Challenging the FIP bias paradigm?' (bibcode: 2022A&A...659A...3S)
DOI: 10.26093/cds/vizier.36600135
title: 62 Galactic open clusters abundances

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The Gaia-ESO Survey: Age-chemical-clock relations spatially resolved in the Galactic disc.' (bibcode: 2022A&A...660A.135V)
DOI: 10.26093/cds/vizier.36680126
title: Li-rich produced by element diffusion

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Li-rich and super Li-rich giants produced by element diffusion.' (bibcode: 2022A&A...668A.126G)
DOI: 10.26093/cds/vizier.36690115
title: Galactic Bulge GC stars CaT and RV

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Ca triplet metallicities and velocities for 12 globular clusters towards the Galactic Bulge.' (bibcode: 2023A&A...669A.115G)
DOI: 10.26093/cds/vizier.36690039
title: HARPS and HARPS-N solar radial velocities

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Stellar signal components seen in HARPS and HARPS-N solar radial velocities.' (bibcode: 2023A&A...669A..39A)
DOI: 10.26093/cds/vizier.36690060
title: List of Mira LSP candidates in LMC

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Do Miras show the long secondary periods?' (bibcode: 2023A&A...669A..60P)
DOI: 10.3886/rs0b-2825
title: Zambia Compact - Innovation Grant Facility: Final Analysis Report
DOI: 10.3886/jskv-7e59
title: Zambia Compact - Innovation Grant Facility: Final Analysis Report
DOI: 10.3886/4n6f-mr11
title: Zambia Compact - Innovation Grant Facility: Design Report
DOI: 10.3886/2kpb-g354
title: Zambia Compact - Innovation Grant Facility: Design Report
DOI: 10.5519/qd.90mwkp68
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (103 records)