cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21m02s
title: CCDC 1895094: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m03t
title: CCDC 1895095: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m04v
title: CCDC 1895096: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m05w
title: CCDC 1895097: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m06x
title: CCDC 1895098: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m07y
title: CCDC 1895099: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21m08z
title: CCDC 1895100: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21mjs0
title: CCDC 1895612: Experimental Crystal Structure Determination

description: Related Article: Silvio Preusser,  Diana Kalden,  Damian Bevern,  Ansgar Oberheide,  Helmar Görls,  Wolfgang Imhof,  Matthias Westerhausen, Sven Krieck|2019|Eur.J.Inorg.Chem.|2019|1970|doi:10.1002/ejic.201900159
DOI: 10.5517/ccdc.csd.cc21rlfv
title: CCDC 1899507: Experimental Crystal Structure Determination

description: Related Article: James James Kaduk|2019|CSD Communication|||
DOI: 10.5281/zenodo.5481504
title: Intermediary artifact from GT method

description: File with the record of the texts considered relevant for the research, such as sustainability aspects, concepts, terms related to sustainable SE and promising elements on the subject as taxonomies and propositions extrated from GT method.
DOI: 10.5281/zenodo.5481503
title: Intermediary artifact from GT method

description: File with the record of the texts considered relevant for the research, such as sustainability aspects, concepts, terms related to sustainable SE and promising elements on the subject as taxonomies and propositions extrated from GT method.
DOI: 10.3886/e160881
title: Replication Data for: China and World Output Impact of the Hubei Lockdown During the Coronavirus Outbreak

description: <pre>Using a network approach, this project estimates the output loss due to the lockdown of the Hubei province triggered by the coronavirus disease (COVID-19). </pre>
DOI: 10.3886/e160881v1
title: Replication Data for: China and World Output Impact of the Hubei Lockdown During the Coronavirus Outbreak

description: <pre>Using a network approach, this project estimates the output loss due to the lockdown of the Hubei province triggered by the coronavirus disease (COVID-19). </pre>
DOI: 10.6073/pasta/da6012356d6f43ac10c15edd2e0a8d81
title: ANPP, NDVI and canopy height in black sand extended growing season experiment, 2019 - ongoing.

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 Black Sand Extended 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 climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites, each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows and a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot at each site by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to control plots after snow had naturally melted. This dataset includes measurements of aboveground net primary productivity, plant canopy height and NDVI.
DOI: 10.15784/601513
title: Landfast ice: a major driver of reproductive success in a polar seabird

description: In a fast-changing world, polar ecosystems are threatened by climate variability. Understanding the roles of fine-scale processes, and linear and nonlinear effects of climate factors on the demography of polar species is crucial for anticipating the future state of these fragile ecosystems. While the effects of sea ice on polar marine top predators are increasingly being studied, little is known about the impacts of landfast ice (LFI) on this species community. Based on a unique 39-year time series of satellite imagery and in situ meteorological conditions and on the world’s longest dataset of emperor penguin (Aptenodytes forsteri) breeding parameters, we studied the effects of fine-scale variability of LFI andweather conditions on this species’ reproductive success. We found that longer distances to the LFI edge (i.e. foraging areas) negatively affected the overall breeding success but also the fledging success. Climate window analyses suggested that chick mortality was particularly sensitive to LFI variability between August and November. Snowfall in May also affected hatching success. Given the sensitivity of LFI to storms and changes in wind direction, important future repercussions on the breeding habitat of emperor penguins are to be expected in the context of climate change. These files contain the code and data from this manuscript.
DOI: 10.6073/pasta/ac334b404f66e4b4a3b8a9b47af64ab6
title: Pond environmental data for Niwot Ridge and Green Lakes Valley, 2021.

description: This is a summary of basic environmental data from water in ponds in the vicinity of the Niwot Ridge LTER. Ponds were selected across a range of elevations, sizes, and positions relative to glacial, stream, and lake water sources. Ponds sampled occurred on Niwot Ridge and throughout the Green Lakes Valley.
DOI: 10.6073/pasta/2861fed3497e2b483839d5db6945a0dc
title: Plant species composition in ITEX subplots in black sand extended growing season experiment, 2018 - ongoing.

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 Black Sand Extended 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 climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites, each containing a pair 10 x 40m rectangular plots. These sites include north and south facing aspects, subalpine and alpine tundra meadows and a range of hydrological conditions (e.g. dry meadows, moist meadows, wet meadows). We accelerated snowmelt in one plot at each site by adding chemically inert black sand, while keeping the second plot as an unmanipulated control; black sand was added to control plots after snow had naturally melted. We used open top warming chambers (OTCs) to increase summer temperature in three subplots within each of the 10 x 40 m plots. This dataset includes measurements of plant species composition within all snow and warming treatments.
DOI: 10.34740/kaggle/dsv/3103299
title: Health Workforce Shortage Areas
DOI: 10.6073/pasta/9a3e3402f8a64588890a1b70258515c5
title: Plant species composition in black sand extended growing season experiment, 2018 - ongoing.

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 Black Sand Extended 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 climate exposure may affect plant communities, NWT LTER researchers established 5 experimental sites each containing a pair 10 x 40m rectangular plots. These sites 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 plant species composition.
DOI: 10.34740/kaggle/dsv/3106581
title: Mahanagar Yatayat Dataset
DOI: 10.5255/ukda-sn-855366
title: Pilot Study of a Student-led Peer Support Wellbeing Programme, 2021

description: Many students find the transition to university life difficult, and often struggle with their mental health and wellbeing during this time. Ulster University have developed several initiatives to help address this transition. For example, several Schools within Ulster University run a scheme called Peer Assisted Study Sessions (PASS) which is student led and aims to aid the first-year transition into higher education whereby higher year students (mentors) facilitate weekly study sessions with lower year students (mentees). The aim of the current study was to design, develop, implement and evaluate a 12-week student-led peer wellbeing programme for first year undergraduate students attending the PASS programme in the School of Psychology, Ulster University (mentees). These sessions focused on enhancing the wellbeing and resilience of students during semester two. Mentors and mentees were surveyed, and the top 12 wellbeing topics were included in the programme. Trained PASS mentors delivered the programme and sessions were evaluated each week by both mentors and mentees. At the end of the programme, focus groups were held with mentors and mentees to gain feedback on the wellbeing programme. Overall, all those involved reported that they had benefited from the programme and recommended that it should be continued. It is hoped that the findings from this pilot study will lead to the wellbeing sessions being rolled out within the university and other institutions.
DOI: 10.6084/m9.figshare.19087025
title: Dataset of the South China manuscript.xlsx

description: Dataset of the South China manuscript
DOI: 10.6084/m9.figshare.19074305.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br>
DOI: 10.6084/m9.figshare.19074299.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br><br>
DOI: 10.6084/m9.figshare.19074293.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br>
DOI: 10.6084/m9.figshare.19074290.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br><br>
DOI: 10.6084/m9.figshare.19074287.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br>
DOI: 10.5281/zenodo.5895145
title: Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"

description: This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows. 1. DNS flow field data Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit. 2. Particle-tracked subsurface flow paths and corresponding transit time distributions The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.
DOI: 10.5281/zenodo.5895144
title: Dataset for "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange"

description: This dataset contains the sediment models, DNS flow field data, subsurface path data, and calculated transit time distributions for both the regular- and random-interface cases used in the paper: "Quantifying the effects of bed roughness on transit time distributions via direct numerical simulations of turbulent hyporheic exchange" by Guangchen Shen, Junlin Yuan, and Mantha S. Phanikumar (Submitted to Water Resources Research). <br> Detailed introduction of each data file is as follows. 1. DNS flow field data Flowfield_Reg.h5 and Flowfield_Ran.h5 contains the following fields for the regular and random cases, respectively. 'ni', 'nj', 'nk' are the numbers of grid points along x, y, and z directions. 'xc', 'yc', 'zc' are the cell center locations. 'u3d','v3d','w3d' are the three-dimensional time-averaged velocities at each grid point. 'vof' is the volume-of-fluid field used by the immersed-boundary method to prescribe the fluid-solid interface (vof=1 in fluid and 0 in solid), at each grid point. 'vof' contains the information of sediment grain distribution and bed roughness geometry. Only the subsurface data (those below the sediment crest) are shared due to dataset size limit. 2. Particle-tracked subsurface flow paths and corresponding transit time distributions The mat files “xxx_pathline” store the (x,y,z) location of each point (saved as 'StrX', 'StrY, 'StrZ') along the subsurface paths, discretized by uniform steps of travel time (with time intervals of 0.1 for 'A' and 0.01 for 'MD' cases, normalized by channel height and friction velocity). The files “xxx_TT” store the array of transit times corresponding to the tracked paths, where the 1d array T is the transit time. 'A' denotes calculations based on time-mean advection only, while 'MD' denotes calculations accounting for additional molecular diffusion. 'Interface' and '3DiameterBelow' indicate that the particles were released at the interface and -3 D below the interface, respectively.
DOI: 10.6084/m9.figshare.19074275.v1
title: CSV data for Bernhardt et al. 2022 (PNAS)

description: One of six datasets required to reproduce the plots and analyses in Bernhardt et al. 2022: "Light and flow regimes regulate the metabolism of rivers". See "Code and RDS data for Bernhardt et al. 2022" for complete workflow. These CSV versions of the datasets are included separately, for those who wish to analyze outside of R.<br><br>
DOI: 10.17632/cfvcz98zc8.1
title: Data of the FFHS mode

description: With the market demands on quality and efficiency of industrial services increase, the service schemes of the traditional field and factory service modes have gradually been unable to meet user requirements. Therefore, this paper proposes a field-factory hybrid service (FFHS) mode, in which service providers are allowed to transport service resources to the user-specified places for providing field services, and they also can establish temporary factories at certain user sites to provide factory services. On this basis, the FFHS process is analyzed and a bi-objective resource scheduling model considering the emergence of cloud platform is established for it. A two-segment code is designed and an enhanced multi-objective jellyfish search (EMOJS) algorithm is developed for solving the above model. In EMOJS, the elitist preservation strategy, a parameter adaptive adjustment strategy and an opposition-based learning strategy are developed to improve the search performance. Comparison experiments with several state-of-the-art algorithms on some typical bi-objective instances are carried out and prove that EMOJS possesses better search performance
DOI: 10.17632/khkj29tsbr.1
title: TasteCultArt

description: Contains four taste variables (sweet, sour, umami, and bitter) for the expected taste of four fruits (guava, apple, pineapple, and grape). Subjects respond to each taste question on a continuous line that ranges from none to strong.
DOI: 10.17632/dd5gbtr2ds.1
title: Plasma steroids and immune measures vary with restraint duration in a toad (Rhinella icterica)

description: The full data for the paper: Plasma steroids and immune measures vary with restraint duration in a toad (Rhinella icterica), published in General and Comparative Endocrinology.
DOI: 10.17632/4mygjn3j4g.1
title: Artificial Intelligence in Academic Writing Teaching

description: The article aimed the scientific and theoretical justification, development, and  testing a method for teaching graduate students academic writing using the author’s  model of chatbots, which involve training a self-learning AI software for teaching a foreign  language.
DOI: 10.17632/kszst8ssd2.3
title: Panel data - European electric mobility paper - 2000-2020

description: This dataset contains a range of electric mobility variables used in this paper. The dataset contains data on 32 European countries from 2000 - 2020. The analysis in the paper uses the 11 year period between 2009 and 2019, with some robustness tests with 2020 included.
DOI: 10.17632/bz4pkc7thy.1
title: Supplemental material for JAAD publication titled - A Retrospective study of Nail Squamous Cell Carcinoma at a Single Tertiary Center: A Relationship between longitudinal melanonychia and depth of invasion

description: Supplemental materials for, 
Title: A Retrospective study of Nail Squamous Cell Carcinoma at a Single Tertiary Center: A Relationship between longitudinal melanonychia and depth of invasion
Authors:  Jongeun Lee, M.D., Dong Min Shin, M.D., Se Jin Oh, M.D., Ji-Hye Park, M.D., Ph.D., Dongyoun Lee, M.D.,Ph.D.

Supplementary figure 1. Clinical presentations of the 20 cases of NSCC.
Supplementary figure 2. Dermoscopic images of NSCC with melanonychia (case 1, 2, 3, and 4). The dotted line represents parallel line from the widest part of the melanonychia. 
Supplementary figure 3. Clinical images of case 10. (A) The patient complained of a non-healing ulcerative lesion on the fourth finger of the left hand that started five years earlier. (B,C) Seven months later, a hyperkeratotic lesion developed below the nail plate. 
Supplementary figure 4. Histopathologic features of NSCC in-situ with longitudinal melanonychia and invasive SCC. (A) Histopathology of case 3 revealed melanin granules with atypical squamous cells (hematoxylin & eosin [H&E], ×40; Inset: ×400). (B) Histopathology of case 17 showed marked acanthosis with atypical cells, and dermal invasion was present (H&E, ×40; Inset: ×400).
DOI: 10.17632/hd5j6p8kmm.1
title: Towards the saving of global rainforests: Oceania tropical rainforest terrestrial pollen records

description: The pollen records here were used to compute rates of change for Oceania tropical rainforest vegetation in Adeleye et al. (2022)-Towards the saving of global rainforests, and only include terrestrial pollen taxa. The article associated with this data is:
Adeleye MA, Connor SE, Herbert A and Haberle SG (2022). Towards the saving of global rainforests. Global Change Biology
DOI: 10.17632/5rzgwn8wv9.1
title: Revised raw data of ‘Circulating tumor DNA correlates with tumor burden and predicts outcome in pancreatic cancer irrespective of tumor stage’

description: The respective data article (data in brief article) subsumes the data acquiration process, analysis and results of ‘Circulating tumor DNA correlates with tumor burden and predicts outcome in pancreatic cancer irrespective of tumor stage’ published in European Journal of Surgical Oncology (Eur J Surg Oncol. 2021 Dec 1:S0748-7983(21)00947-1. doi: 10.1016/j.ejso.2021.11.138. PMID: 34876329).
Bilirubin and its association with conventional tumor markers (CEA and CA 19-9) and circulating tumor DNA (ctDNA) has been added in the revised raw data set. There was no association/bias to CEA, CA 19-9 or ctDNA.