cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/cbtb-z498
title: West Robinson Peatland testate amoebae surface sample dataset

description: Raw data for the West Robinson Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/td54-4f86
title: Green Bay FG10a/2 insect dataset

description: Raw data for the Green Bay FG10a/2 insect dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/25v8-bq27
title: Uncle Sam Peatland testate amoebae surface sample dataset

description: Raw data for the Uncle Sam Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zvy1-ff62
title: South Pulpit Shelter [26 HU 2472] vertebrate fauna dataset

description: Raw data for the South Pulpit Shelter [26 HU 2472] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cwjy-qy76
title: Spanish Fork Canyon [42UT009V] vertebrate fauna dataset

description: Raw data for the Spanish Fork Canyon [42UT009V] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bta6-ax60
title: 29Y47 [Donjek River] [JGVu-31] vertebrate fauna dataset

description: Raw data for the 29Y47 [Donjek River] [JGVu-31] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5517/ccdc.csd.cc1ztvd1
title: CCDC 1842094: Experimental Crystal Structure Determination

description: Related Article: Hong-Gang Zhang|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27dqzc
title: CCDC 2067823: Experimental Crystal Structure Determination

description: Related Article: Mengnan Li, Chengyu Gong, Guobin Ren, Xiaoyong Xu, Minghuang Hong, Zhong Li|2021|Cryst.Growth Des.|21|6697|doi:10.1021/acs.cgd.1c00556
DOI: 10.5517/ccdc.csd.cc27dr0f
title: CCDC 2067824: Experimental Crystal Structure Determination

description: Related Article: Mengnan Li, Chengyu Gong, Guobin Ren, Xiaoyong Xu, Minghuang Hong, Zhong Li|2021|Cryst.Growth Des.|21|6697|doi:10.1021/acs.cgd.1c00556
DOI: 10.5517/ccdc.csd.cc27dr3j
title: CCDC 2067827: Experimental Crystal Structure Determination

description: Related Article: Mengnan Li, Chengyu Gong, Guobin Ren, Xiaoyong Xu, Minghuang Hong, Zhong Li|2021|Cryst.Growth Des.|21|6697|doi:10.1021/acs.cgd.1c00556
DOI: 10.5517/ccdc.csd.cc27dr1g
title: CCDC 2067825: Experimental Crystal Structure Determination

description: Related Article: Mengnan Li, Chengyu Gong, Guobin Ren, Xiaoyong Xu, Minghuang Hong, Zhong Li|2021|Cryst.Growth Des.|21|6697|doi:10.1021/acs.cgd.1c00556
DOI: 10.5517/ccdc.csd.cc27dr2h
title: CCDC 2067826: Experimental Crystal Structure Determination

description: Related Article: Mengnan Li, Chengyu Gong, Guobin Ren, Xiaoyong Xu, Minghuang Hong, Zhong Li|2021|Cryst.Growth Des.|21|6697|doi:10.1021/acs.cgd.1c00556
DOI: 10.5517/ccdc.csd.cc27jr6r
title: CCDC 2071674: Experimental Crystal Structure Determination

description: Related Article: Pavel G. Sergeev, Roman A. Novikov, Yury V. Tomilov|2021|Adv.Synth.Catal.|363|5292|doi:10.1002/adsc.202100453
DOI: 10.5517/ccdc.csd.cc27jr7s
title: CCDC 2071675: Experimental Crystal Structure Determination

description: Related Article: Pavel G. Sergeev, Roman A. Novikov, Yury V. Tomilov|2021|Adv.Synth.Catal.|363|5292|doi:10.1002/adsc.202100453
DOI: 10.5517/ccdc.csd.cc27jr8t
title: CCDC 2071676: Experimental Crystal Structure Determination

description: Related Article: Pavel G. Sergeev, Roman A. Novikov, Yury V. Tomilov|2021|Adv.Synth.Catal.|363|5292|doi:10.1002/adsc.202100453
DOI: 10.5517/ccdc.csd.cc27jr9v
title: CCDC 2071677: Experimental Crystal Structure Determination

description: Related Article: Pavel G. Sergeev, Roman A. Novikov, Yury V. Tomilov|2021|Adv.Synth.Catal.|363|5292|doi:10.1002/adsc.202100453
DOI: 10.21233/s3sx-zs03
title: Eagle Creek testate amoebae surface sample dataset

description: Raw data for the Eagle Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2mcg-px69
title: Fish Creek testate amoebae surface sample dataset

description: Raw data for the Fish Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/scre-bt60
title: Fish Creek testate amoebae surface sample dataset

description: Raw data for the Fish Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5517/ccdc.csd.cc23zj2q
title: CCDC 1965743: Experimental Crystal Structure Determination

description: Related Article: Olivier Renier, Guillaume Bousrez, Glib V. Baryshnikov, Veronica Paterlini, Volodymyr Smetana, Hans Ågren, Robin D. Rogers, Anja-Verena Mudring|2021|J.Am.Chem.Soc.|143|20202|doi:10.1021/jacs.1c08590
DOI: 10.5517/ccdc.csd.cc2834wf
title: CCDC 2088404: Experimental Crystal Structure Determination

description: Related Article: Hong Li, Xiangjun Peng, Liang Nie, Lin Zhou, Ming Yang, Fan Li, Jian Hu, Zhiyang Yao, Liangxian Liu|2021|RSC Advances|11|38667|doi:10.1039/D1RA07014B
DOI: 10.21233/a1cg-r451
title: Tannersville Bog testate amoebae surface sample dataset

description: Raw data for the Tannersville Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17153000
title: The Comics Grid Number of Published Articles per Volume 2013-2021

description: Data collated and shared by Ernesto Priego, December 9 2021.<br><br>Source: https://www.comicsgrid.com/issues/ <br><br>Data includes one extra article not yet published in 2021 as it's pending completion and typesetting- this dataset has been deposited here so that it can be cited in that article.<br><br>Once the final article is published the data here will match that on the archive linked above and in the references. <br>
DOI: 10.6084/m9.figshare.17153000.v1
title: The Comics Grid Number of Published Articles per Volume 2013-2021

description: Data collated and shared by Ernesto Priego, December 9 2021.<br><br>Source: https://www.comicsgrid.com/issues/ <br><br>Data includes one extra article not yet published in 2021 as it's pending completion and typesetting- this dataset has been deposited here so that it can be cited in that article.<br><br>Once the final article is published the data here will match that on the archive linked above and in the references. <br>
DOI: 10.21233/dbfy-zy40
title: Belanger [AcHn-10] vertebrate fauna dataset

description: Raw data for the Belanger [AcHn-10] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5729974
title: Efficient Techniques for Formal Verification of C Programs: SV-COMP 2022 dataset

description: This dataset contains the data on the last set of pre-run benchmarks of the tool Theta on SV-COMP 2022. The benchmarks were executed by the SV-COMP 2022 organizers, but a short evaluation of these are added in the Bachelor's Thesis with the title Efficient Techniques for Formal Verification of C programs. This dataset archives these benchmark results so they are always available to the reader's of this thesis. The html and csv files are generated with the table-generator utility of Benchexec from the .xml.bz2 files. One contains the results of the Concurrency Safety category only, while the other contains all categories.
DOI: 10.5281/zenodo.5729973
title: Efficient Techniques for Formal Verification of C Programs: SV-COMP 2022 dataset

description: This dataset contains the data on the last set of pre-run benchmarks of the tool Theta on SV-COMP 2022. The benchmarks were executed by the SV-COMP 2022 organizers, but a short evaluation of these are added in the Bachelor's Thesis with the title Efficient Techniques for Formal Verification of C programs. This dataset archives these benchmark results so they are always available to the reader's of this thesis. The html and csv files are generated with the table-generator utility of Benchexec from the .xml.bz2 files. One contains the results of the Concurrency Safety category only, while the other contains all categories.
DOI: 10.21233/q7wa-8w23
title: Orange Springs 1 vertebrate fauna dataset

description: Raw data for the Orange Springs 1 vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qfap-3h95
title: Trout Peatland A testate amoebae surface sample dataset

description: Raw data for the Trout Peatland A testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/w8qd-4e93
title: Trout Peatland A testate amoebae surface sample dataset

description: Raw data for the Trout Peatland A testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5750623
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Antwerp Berchem, Belgium

description: Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
DOI: 10.5281/zenodo.5750622
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in future climate (2069-2098, RCP 8.5), Antwerp Berchem, Belgium

description: Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098, RCP 8.5 climate change scenario) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the future period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
DOI: 10.21233/tn2t-pt81
title: Big Red Pine Peatland testate amoebae surface sample dataset

description: Raw data for the Big Red Pine Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bd78-a671
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d5qk-5971
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17153009
title: seqFish toy dataset of Mouse Gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo1
DOI: 10.6084/m9.figshare.17153009.v1
title: seqFish toy dataset of Mouse Gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo1
DOI: 10.21233/vj6d-fy19
title: Catfish Pocosin testate amoebae surface sample dataset

description: Raw data for the Catfish Pocosin testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dvqq-qr67
title: Catfish Pocosin testate amoebae surface sample dataset

description: Raw data for the Catfish Pocosin testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25606/surf.lotss-dr2
title: The LOFAR Two-metre Sky Survey (LoTSS) V. Second data release

description: In this data release from the ongoing LOw-Frequency ARray (LOFAR) Two-metre Sky Survey (LoTSS) we present 120-168 MHz images covering 27% of the northern sky. Our coverage is split into two regions centred at approximately 12h45m +44◦30′ and 1h00m +28◦ 00′ and spanning 4178 and 1457 square degrees respectively. The images were derived from 3,451 hrs (7.6 PB) of LOFAR High Band Antenna data which were corrected for the direction-independent instrumental properties as well as direction-dependent ionospheric distortions during extensive, but fully automated, data processing. A catalogue of 4,396,228 radio sources is derived from our total intensity (Stokes I) maps, where the majority of these have never been detected at radio wavelengths before. At 6′′ resolution, our full bandwidth Stokes I continuum maps with a central frequency of 144 MHz have: a median rms sensitivity of 83 μ Jy/beam; a flux density scale accuracy of approximately 10%; an astrometric accuracy of 0.2′′; and we estimate the point-source completeness to be 90% at a peak brightness of 0.8 mJy/beam. By creating three 16 MHz bandwidth images across the band we are able to measure the in-band spectral index of many sources, albeit with an error on the derived spectral index of &gt; ±0.2 which is a consequence of our flux-density scale accuracy and small fractional bandwidth. Our circular polarisation (Stokes V) 20′′ resolution 120-168 MHz continuum images have a median rms sensitivity of 95 μ Jy/beam, and we estimate a Stokes I to Stokes V leakage of 0.056%. Our linear polarisation (Stokes Q and Stokes U) image cubes consist of 480 97.6 kHz wide planes and have a median rms sensitivity per plane of 10.8mJy/beam at 4′ and 2.2mJy/beam at 20′′; we estimate the Stokes I to Stokes Q/U leakage to be approximately 0.2%. Here we characterise and publicly release our Stokes I, Q, U and V images in addition to the calibrated uv-data to facilitate the thorough scientific exploitation of this unique dataset. The DICE project has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-2018-2020 under Grant Agreement no. 101017207.
DOI: 10.21233/0ej3-yw84
title: Hodgeman County Fishing Lake charcoal surface sample dataset

description: Raw data for the Hodgeman County Fishing Lake charcoal surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/w14w-yh78
title: St. Jacob's Tank pollen surface sample dataset

description: Raw data for the St. Jacob's Tank pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/seyb-ap69
title: Morson, Lake Agassiz [DgKo-VP] vertebrate fauna dataset

description: Raw data for the Morson, Lake Agassiz [DgKo-VP] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ws6s-8t94
title: Au Train Bay testate amoebae surface sample dataset

description: Raw data for the Au Train Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zc62-6365
title: Snake Pond charcoal surface sample dataset

description: Raw data for the Snake Pond charcoal surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h3kw-cx53
title: Horseshoe Lake charcoal surface sample dataset

description: Raw data for the Horseshoe Lake charcoal surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qdv6-hj63
title: Sticker Melon Pond charcoal surface sample dataset

description: Raw data for the Sticker Melon Pond charcoal surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xm2s-6n84
title: Half Boiled Pond pollen surface sample dataset

description: Raw data for the Half Boiled Pond pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25721/wqk3-s126
title: Polka chantée "Quand lo merle sauta al prat"
DOI: 10.6084/m9.figshare.17153033
title: seqFish toy dataset of Mouse Gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo2<br>
DOI: 10.6084/m9.figshare.17153033.v1
title: seqFish toy dataset of Mouse Gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo2<br>
DOI: 10.21233/wb0r-bb38
title: Seefelder See pollen dataset

description: Raw data for the Seefelder See pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.9901373
title: Circulating versus lipopolysaccharide-induced inflammatory markers as correlates of subthreshold depressive symptoms in older adults

description: <b>Objectives:</b> Circulating cytokines have been associated with depression, but their detection has limitations, which may be overcome by direct detection of intracellular cytokines (ICCs) after lipopolysaccharide (LPS) stimulation <i>in vitro</i>. This study compared circulating versus LPS-induced inflammatory markers as correlates of subthreshold depressive symptoms. <b>Methods:</b> Secondary data analysis of a cross-sectional insomnia study in healthy community-dwelling older adults was conducted. In 117 participants (≥55 years), plasma tumour necrosis factor-α (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP) and <i>in vitro</i> LPS-induced monocyte production of IL-6 and TNF-α were assayed. Depressive symptoms were assessed using the clinician-rated Inventory of Depressive Symptomatology (IDS-C). Multivariate linear regression was conducted to test the associations between inflammatory markers and subthreshold depressive symptoms in the entire sample as well as in subgroups stratified into higher and lower inflammation levels. <b>Results:</b> LPS-induced TNF-α (adjusted <i>β</i> = 0.28, <i>p = </i>.04), IL-6 (0.29, <i>p = </i>.03) and TNF-α + IL-6 (0.43, <i>p = </i>.001) significantly positively correlated with subthreshold depressive symptoms only in higher inflammation subgroups. No circulating biomarkers positively correlated in any subgroups. In the entire sample, no biomarkers were significantly associated with subthreshold depressive symptoms. <b>Conclusions:</b> LPS-induced cytokines may be more sensitive correlates of subthreshold depressive symptoms than circulating cytokines, particularly in older adults with higher systemic inflammation. <b>Clinical Trials Registry:</b> ClinicalTrials.gov NCT00280020.
DOI: 10.6084/m9.figshare.9901373.v2
title: Circulating versus lipopolysaccharide-induced inflammatory markers as correlates of subthreshold depressive symptoms in older adults

description: <b>Objectives:</b> Circulating cytokines have been associated with depression, but their detection has limitations, which may be overcome by direct detection of intracellular cytokines (ICCs) after lipopolysaccharide (LPS) stimulation <i>in vitro</i>. This study compared circulating versus LPS-induced inflammatory markers as correlates of subthreshold depressive symptoms. <b>Methods:</b> Secondary data analysis of a cross-sectional insomnia study in healthy community-dwelling older adults was conducted. In 117 participants (≥55 years), plasma tumour necrosis factor-α (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP) and <i>in vitro</i> LPS-induced monocyte production of IL-6 and TNF-α were assayed. Depressive symptoms were assessed using the clinician-rated Inventory of Depressive Symptomatology (IDS-C). Multivariate linear regression was conducted to test the associations between inflammatory markers and subthreshold depressive symptoms in the entire sample as well as in subgroups stratified into higher and lower inflammation levels. <b>Results:</b> LPS-induced TNF-α (adjusted <i>β</i> = 0.28, <i>p = </i>.04), IL-6 (0.29, <i>p = </i>.03) and TNF-α + IL-6 (0.43, <i>p = </i>.001) significantly positively correlated with subthreshold depressive symptoms only in higher inflammation subgroups. No circulating biomarkers positively correlated in any subgroups. In the entire sample, no biomarkers were significantly associated with subthreshold depressive symptoms. <b>Conclusions:</b> LPS-induced cytokines may be more sensitive correlates of subthreshold depressive symptoms than circulating cytokines, particularly in older adults with higher systemic inflammation. <b>Clinical Trials Registry:</b> ClinicalTrials.gov NCT00280020.