cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bwzgp
title: CCDC 2171843: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwzjr
title: CCDC 2171845: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwzks
title: CCDC 2171846: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwzlt
title: CCDC 2171847: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwzmv
title: CCDC 2171848: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwznw
title: CCDC 2171849: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bwzpx
title: CCDC 2171850: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bxmxt
title: CCDC 2172477: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2bypnn
title: CCDC 2173492: Experimental Crystal Structure Determination

description: Related Article: Rinki Brahma, Jubaraj Bikash Baruah|2023|New J.Chem.|47|6211|doi:10.1039/D2NJ05412D
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.cc2fb0ng
title: CCDC 2243955: Experimental Crystal Structure Determination

description: Related Article: Irina A. Kolesnik, Vladimir I. Potkin, Mikhail S. Grigoriev, Anton P. Novikov, Rosa M. Gomila, Alexandra G. Podrezova, Vadim V. Brazhkin, Fedor I. Zubkov, Antonio Frontera|2023|CrystEngComm|25|1976|doi:10.1039/D3CE00112A
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.cc2fb0ph
title: CCDC 2243956: Experimental Crystal Structure Determination

description: Related Article: Irina A. Kolesnik, Vladimir I. Potkin, Mikhail S. Grigoriev, Anton P. Novikov, Rosa M. Gomila, Alexandra G. Podrezova, Vadim V. Brazhkin, Fedor I. Zubkov, Antonio Frontera|2023|CrystEngComm|25|1976|doi:10.1039/D3CE00112A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7698770
title: Datasets and R source code of manuscript "Chronic boat noise does not alter the fitness of Daphnia magna"

description: Datasets and R source code of manuscript "Chronic boat noise does not alter the fitness of <em>Daphnia magna</em>" Experiments : exposition of Daphnia magna to boatnoise or silence along all their life. Measure of survival and clonal reproduction.
DOI: 10.6084/m9.figshare.3761562.v2538
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6073/pasta/e2755d64416880fa06ff87e7f79f1773
title: Density-dependent demography of creosote bush (Larrea tridentata) along grass-shrub ecotones

description: The encroachment of woody plants into grasslands is a global phenomenon with implications for biodiversity and ecosystem function. Understanding and predicting the pace of expansion and the underlying processes that control it are key challenges in the study and management of woody encroachment. Theory from spatial population biology predicts that the occurrence and speed of population expansion should depend sensitively on the nature of conspecific density dependence. If fitness is maximized at the low-density encroachment edge then shrub expansion should be "pulled" forward. However, encroaching shrubs have been shown to exhibit positive feedbacks, whereby shrub establishment modifies the environment in ways that facilitate further shrub recruitment and survival. In this case there may be a fitness cost to shrubs at low density causing expansion to be "pushed" from behind the leading edge. We studied the spatial dynamics of creosotebush (Larrea tridentata), which has a history of encroachment into Chihuahuan Desert grasslands over the past century. We used demographic data from observational censuses and seedling transplant experiments to test the strength and direction of density dependence in shrub fitness along a gradient of shrub density at the grass-shrub ecotone. We also used seed-drop experiments and wind data to construct a mechanistic seed dispersal kernel, then connected demography and dispersal data within a spatial integral projection model (SIPM) to predict the dynamics of shrub expansion. The SIPM predicted that, contrary to expectations based on potential for positive feedbacks, the shrub encroachment wave is "pulled" by maximum fitness at the low-density front. However, the predicted pace of expansion was strikingly slow (ca. 8 cm/yr), and this prediction was supported by independent re-surveys of the ecotone showing little to no change in spatial extent of shrub cover over 12 years. Encroachment speed was acutely sensitive to seedling recruitment, suggesting that this population may be primed for pulses of expansion under conditions that are favorable for recruitment. Our integration of observations, experiments, and modeling reveals not only that this ecotone is effectively stalled under current conditions, but also why that is so and how that may change as the environment changes.
DOI: 10.6084/m9.figshare.22336600
title: Table_S5

description: Table S5 for Miller et al. <em>mSystems</em> Metaproteomics reveals functional partitioning and vegetational variation among permafrost-affected Arctic soil bacterial communities <br> <em>k</em>-means clustering of Φbin vectors
DOI: 10.6084/m9.figshare.22336597
title: Table_S4

description: Table S4 for Miller et al. <em>mSystems</em> Metaproteomics reveals functional partitioning and vegetational variation among permafrost-affected Arctic soil bacterial communities <br> Functional Group definitions from unique pairs of eggNOG predicted Gene Family name and eggNOG functional description string.
DOI: 10.21227/k2p3-7f64
title: Evapotranspiration

description: Reference Evapotranspiration (ETo) is the basic element of smart irrigation water management for sustainable developments in agriculture. Penman-Monteith (FAO-56 PM) is the standard method of ETo. The FAO-56 PM is complex in nature due to the requirements of many climatic conditions. Many existing machine learning-based solutions for simplification of ETo are limited to a specific area and not in accordance with the standard method FAO-56 PM.
DOI: 10.5066/p98wc5bb
title: Sapflow data from two separate but adjoining ecotones on Bannockburn Plantation near Georgetown, South Carolina, USA (2008 and 2009)

description: These data support a sap flow study, as represented by dual temperature differentials between heated and unheated probes inserted into trees. Data are from two separate field sites, with five tree species recorded every 30 minutes during the time periods of June 29 to August 24, 2008, and March 5 to June 1, 2009. Data were collected from a longleaf pine plantation (Pinus palustris) and a floodplain forest (Pinus taeda, Fraxinus sp., Quercus laurifolia) on Bannockburn Plantation located near Georgetown, South Carolina, USA.
DOI: 10.6084/m9.figshare.21702491
title: Supplementary Table S21

description: STRING database file to construct hub genes
DOI: 10.6084/m9.figshare.21702491.v1
title: Supplementary Table S21

description: STRING database file to construct hub genes
DOI: 10.6084/m9.figshare.21702485
title: Supplementary Table S12, S13, S14, S15, S16, S17, S18, S19 & S20

description: Cluster genes network analysis (cluster genes 1-8)
DOI: 10.6084/m9.figshare.21702485.v1
title: Supplementary Table S12, S13, S14, S15, S16, S17, S18, S19 & S20

description: Cluster genes network analysis (cluster genes 1-8)
DOI: 10.6084/m9.figshare.21702464
title: Supplementary Table S11

description: Summary of KEGGs pathways annotation statistics
DOI: 10.6084/m9.figshare.21702464.v1
title: Supplementary Table S11

description: Summary of KEGGs pathways annotation statistics
DOI: 10.6084/m9.figshare.21702455
title: Supplementary Table S9 & S10

description: List of genes in exclusive control group and List of genes in exclusive selenium-deficient group
DOI: 10.6084/m9.figshare.21702455.v1
title: Supplementary Table S9 & S10

description: List of genes in exclusive control group and List of genes in exclusive selenium-deficient group
DOI: 10.6084/m9.figshare.21702452
title: Supplementary Table S8

description: List of significant genes
DOI: 10.6084/m9.figshare.21702452.v1
title: Supplementary Table S8

description: List of significant genes
DOI: 10.6084/m9.figshare.21702302
title: Supplementary Table S6 & S7

description: Raw data of all genes and differentially expressed genes list
DOI: 10.6084/m9.figshare.21702302.v1
title: Supplementary Table S6 & S7

description: Raw data of all genes and differentially expressed genes list
DOI: 10.6084/m9.figshare.21702278
title: Supplementary Table S5

description: Differentially expressed genes summary
DOI: 10.6084/m9.figshare.21702278.v1
title: Supplementary Table S5

description: Differentially expressed genes summary
DOI: 10.6084/m9.figshare.21702227
title: Supplementary Table S3 & S4

description: List of up-and downregulated differentially expressed genes
DOI: 10.6084/m9.figshare.21702227.v1
title: Supplementary Table S3 & S4

description: List of up-and downregulated differentially expressed genes
DOI: 10.6084/m9.figshare.21702191
title: Supplementary Table S1 & S2

description: High-quality read statistics and mapping statistics of control and selenium-deficient groups
DOI: 10.6084/m9.figshare.21702191.v1
title: Supplementary Table S1 & S2

description: High-quality read statistics and mapping statistics of control and selenium-deficient groups
DOI: 10.25573/serc.13043054.v1
title: Dataset: Recent Acceleration of Coastal Wetland Accretion Along the U.S. East Coast

description: The long-term stability of coastal wetlands is determined by interactions among sea level, plant primary production, sediment supply, and wetland vertical accretion. Here, we examine rates of vertical accretion and carbon sequestration in nine tidal wetland systems along the U.S. East Coast from Maine to Georgia. We show that rates of vertical accretion have accelerated over the past century by between 0.010 and 0.083 mm yr-2, at roughly the same pace as the acceleration of global SLR. Wetland accretion has accelerated more rapidly in coastal systems with greater relative RSLR, higher watershed sediment availability, and lower temperatures. These findings suggest that the biogeomorphic feedback processes that control accretion in these tidal wetlands have responded to accelerating RSLR, and that changes to RSLR, watershed sediment supply, and temperature interact to determine wetland vulnerability across broad geographic scales. Acceleration in coastal wetland accretion provides further evidence of widespread response in Earth's biological systems to human-induced climate change.
DOI: 10.25573/serc.13043054.v2
title: Dataset: Recent Acceleration of Coastal Wetland Accretion Along the U.S. East Coast

description: This dataset includes salt marsh soil Pb-210, Cs-137, Bi-214, and Pb-214 radionuclide activities, bulk density, and loss on ignition measurements for soil cores collected at nine sites along the U.S. East Coast. Soil cores were collected in the following coastal salt marsh estuaries: Kennebec (ME), Plum Island (MA), Connecticut (CT), Delaware (NJ/DE), York (VA), James (VA), Cape Fear (NC), Edisto (SC), and Altamaha (GA). The data were used to determine rates of salt marsh vertical accretion and the change in accretion over time using the constant rate of supply model for Pb-210 activities.
DOI: 10.25573/serc.13043054
title: Dataset: Recent Acceleration of Coastal Wetland Accretion Along the U.S. East Coast

description: This dataset includes salt marsh soil Pb-210, Cs-137, Bi-214, and Pb-214 radionuclide activities, bulk density, and loss on ignition measurements for soil cores collected at nine sites along the U.S. East Coast. Soil cores were collected in the following coastal salt marsh estuaries: Kennebec (ME), Plum Island (MA), Connecticut (CT), Delaware (NJ/DE), York (VA), James (VA), Cape Fear (NC), Edisto (SC), and Altamaha (GA). The data were used to determine rates of salt marsh vertical accretion and the change in accretion over time using the constant rate of supply model for Pb-210 activities.
DOI: 10.5281/zenodo.7776013
title: Dataset for Optineurin antibody screening study

description: This project contains the following underlying data included in a study aiming at characterizing antibodies for the Optineurin protein. The study is available on Zenodo (https://doi.org/10.5281/zenodo.4730992).
DOI: 10.5281/zenodo.7776012
title: Dataset for Optineurin antibody screening study

description: This project contains the following underlying data included in a study aiming at characterizing antibodies for the Optineurin protein. The study is available on Zenodo (https://doi.org/10.5281/zenodo.4730992).
DOI: 10.5281/zenodo.7776055
title: Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output

description: Enriched data from Scopus used for the article: Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output
DOI: 10.5281/zenodo.7776054
title: Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output

description: Enriched data from Scopus used for the article: Open access and international co-authorship: a longitudinal study of the United Arab Emirates research output
DOI: 10.6073/pasta/b76253df86d025a61c21d1260dac77f0
title: Soil moisture, temperature, and electrical conductivity data from the black sand extended growing season length experiment, 2018 - ongoing, hourly.

description: As a result of climate change, the Rocky Mountain Front Range is experiencing warmer summers and earlier snowmelt. Due to the importance of snow for regulating soil temperature, growing season length, and available moisture in alpine ecosystems, even small shifts in the snow-free period could have large impacts. The focus of the Growing Season Length Experiment is to examine how terrain-related differences in climate exposure influence the way alpine habitats respond to climate change via earlier snowmelt. To simulate how changes in growing season length may affect biotic and abiotic components, NWT LTER researchers established 5 experimental sites each containing a pair 10 x 40m rectangular plots. These blocks include north and south facing aspects, subalpine and alpine tundra meadows in a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot of each block by adding chemically inert black sand, while keeping the second plot as an unmanipulated control (black sand was added to these plots after snow had naturally melted). This dataset includes measurements of soil temperature, moisture, and electrical conductivity.
DOI: 10.5281/zenodo.7742316
title: Working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians

description: This is a table version of a working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians that I developed during 2015-2023. It contains the most full synonymy on all (sub)endemics validly accepted as (sub)species.
DOI: 10.5281/zenodo.7776108
title: Working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians

description: This is a table version of a working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians that I developed during 2015-2023. It contains the most full synonymy on all (sub)endemics validly accepted as (sub)species.
DOI: 10.5281/zenodo.7742315
title: Working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians

description: This is a table version of a working synonymic checklist of endemic vascular plants occurring in the Ukrainian Carpathians that I developed during 2015-2023. It contains the most full synonymy on all (sub)endemics validly accepted as (sub)species.
DOI: 10.5281/zenodo.7776016
title: Additional Figures and Notes for Single-cell Transcriptional Uncertainty Landscape of Cell Differentiation

description: The dataset includes supporting figures and notes for the study titled "Single-cell Transcriptional Uncertainty Landscape of Cell Differentiation".
DOI: 10.6084/m9.figshare.19164383
title: Untitled ItemRNA-seq reveals beneficial effects of atorvastatin on endothelial cells in acute Kawasaki disease

description: RNA sequencing of human umbilical vein endothelial cells (HUVECs) incubated with pooled sera from acute Kawasaki disease patients pre-treatment or after treatment with IVIG and infliximab with or without atorvastatin.
DOI: 10.5281/zenodo.7688005
title: Widespread flood severity index time series for Germany

description: The dataset provides time series from 1951 to 2013 of monthly flood severity index and mean monthly precipitation derived for Germany (DE) and its three hydroclimatic regions (NW: North-Western region; NE: North-Eastern region; South: Southern region). The dataset also provides most frequent event type recorded in Germany for each months. The dataset was used to train and test a dilated Convolutional Neural Network for forecasting monthly flood severity in Germany (Tarasova et al., submitted to Earth's Future).
DOI: 10.5519/qd.kwfq0j46
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3213 records)
DOI: 10.6084/m9.figshare.22344571
title: Monolayer data for heterostructure

description: from jarvis.db.jsonutils import loadjson d=loadjson('monolayer_data.json') import pandas as pd df=pd.DataFrame(d) print (df) phi atoms jid 0 {'nelect': 48, 'phi': 4.73414095269429, 'scf_v... {'lattice_mat': [[3.353617811446221, 0.0, 0.0]... JVASP-677 1 {'nelect': 48, 'phi': 4.530152088053274, 'scf_... {'lattice_mat': [[3.4519950338496734, 0.0, 0.0... JVASP-675 2 {'nelect': 48, 'phi': 4.842575064739249, 'scf_... {'lattice_mat': [[3.4778329262343175, 0.0, 0.0... JVASP-676 3 {'nelect': 49, 'phi': 4.152692578895887, 'scf_... {'lattice_mat': [[4.389372163294263, 0.0, 0.0]... JVASP-6835 4 {'nelect': 38, 'phi': 4.8566275698291665, 'scf... {'lattice_mat': [[4.111785578032976, 0.0, 0.0]... JVASP-6838 ... ... ... ... 1100 {'nelect': 66, 'phi': 6.835065568894292, 'scf_... {'lattice_mat': [[5.048591416059411, 0.0, -0.0... JVASP-75420 1101 {'nelect': 114, 'phi': 5.9478129766546095, 'sc... {'lattice_mat': [[3.934471688974004, 0.0, 0.0]... JVASP-75426 1102 {'nelect': 116, 'phi': 5.39584804845677, 'scf_... {'lattice_mat': [[3.9528292753768177, 0.0, 0.0... JVASP-75427 1103 {'nelect': 66, 'phi': 5.454720049299169, 'scf_... {'lattice_mat': [[6.8978373665407995, 0.003250... JVASP-76195 1104 {'nelect': 72, 'phi': 6.019888082326117, 'scf_... {'lattice_mat': [[5.549373162856539, -3.478901... JVASP-68932 <br> [1105 rows x 3 columns]