cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1810
title: Replication data of B3 group for: "Hierarchical Silica Inverse Opals as a Catalyst Support for Asymmetric Molecular Heterogeneous Catalysis with Chiral Rh‐diene Complexes"

description: This dataset contains NMR and HPLC (high performance liquid chromotagraphy) data of all shown compounds. Data from collaborating groups can be found in a seperate data set. The data is structured according to figures and schemes in the research article.
DOI: 10.18419/darus-1810/25
title: Compound_5.zip
DOI: 10.18419/darus-3327/1
title: 3.ddm_anova.ipynb
DOI: 10.18419/darus-3327/10
title: 4.ddm_feature_vis.ipynb
DOI: 10.18419/darus-3327/11
title: acc.tab

description: The ./data/acc.csv provides the data frame of reaction accuracy scores.
DOI: 10.18419/darus-3327/4
title: fig3_rt_accuracy_pm.pdf
DOI: 10.18419/darus-3327/5
title: CHI23_Questionnaires.pdf

description: Questionnaires used in the study
DOI: 10.18419/darus-3327/9
title: 6.questionnaire_bayes_factor.ipynb
DOI: 10.18419/darus-3327/12
title: fig3_rt_accuracy_ld.pdf
DOI: 10.18419/darus-3327/2
title: fig4_accuracy.pdf
DOI: 10.18419/darus-3327/3
title: fig6_ddm_PM_tiktok_pre_42.pdf

description: All figures appeared in the paper are placed in ./figures and can be reproduced using *_vis.ipynb files.
DOI: 10.18419/darus-3327/6
title: fig6_ddm_PM_tiktok_post_42.pdf

description: All figures appeared in the paper are placed in ./figures and can be reproduced using *_vis.ipynb files.
DOI: 10.18419/darus-3327/7
title: requirements.txt
DOI: 10.18419/darus-3327/8
title: q.tab

description: The ./data/q.csv provides the data frame collected from questionnaires.
DOI: 10.18419/darus-3327/13
title: YT_interruption_Videos_list.txt
DOI: 10.18419/darus-3327/14
title: 1.2.response_accuracy_lmm.ipynb
DOI: 10.18419/darus-3327/15
title: rt.tab

description: The ./data/rt.csv provides the data frame of reaction times.
DOI: 10.18419/darus-3327/16
title: stats.R
DOI: 10.18419/darus-3327/17
title: appendix2_ddm_fitting.ipynb
DOI: 10.18419/darus-3327/18
title: fig5_ddm_pm.pdf
DOI: 10.18419/darus-3327/19
title: 5.ddm_tiktok_vis.ipynb
DOI: 10.18419/darus-3327/20
title: stats.py
DOI: 10.18419/darus-3327/21
title: 2.response_accuracy_vis.ipynb
DOI: 10.18419/darus-3327/22
title: 1.1.response_accuracy.ipynb
DOI: 10.18419/darus-3327/23
title: ddm.tab

description: The ./data/ddm.csv is the learned DDM features using ./appendix2_ddm_fitting.ipynb, which is then used in ./3.ddm_anova.ipynb.
DOI: 10.18419/darus-3327/24
title: appendix1_reaction_time_model_selection_glmm.ipynb
DOI: 10.18419/darus-3327
title: Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

description: &lt;p&gt;Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects experiment (𝑁 = 60) investigating the impact of engaging with TikTok, Twitter, and YouTube while performing a Prospective Memory task (i.e., executing a previously planned action). The study required participants to remember intentions over interruptions. We found that the TikTok condition significantly degraded the users’ performance in this task. As none of the other conditions (Twitter, YouTube, no activity) had a similar effect, our results indicate that the combination of short videos and rapid context-switching impairs intention recall and execution. We contribute a quantified understanding of the effect of social media feed format on Prospective Memory and outline consequences for media technology designers not to harm the users’ memory and wellbeing.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Description of the Dataset&lt;/b&gt;&lt;/p&gt;
Data frame:
&lt;ul&gt;
&lt;li&gt;The ./data/rt.csv provides the data frame of reaction times.&lt;/li&gt;
&lt;li&gt;The ./data/acc.csv provides the data frame of reaction accuracy scores.&lt;/li&gt;
&lt;li&gt;The ./data/q.csv provides the data frame collected from questionnaires.&lt;/li&gt;
&lt;li&gt;The ./data/ddm.csv is the learned DDM features using ./appendix2_ddm_fitting.ipynb, which is then used in ./3.ddm_anova.ipynb.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Figures: 
All figures appeared in the paper are placed in ./figures and can be reproduced using *_vis.ipynb files.&lt;/p&gt;
DOI: 10.18419/darus-3327/25
title: README.md
DOI: 10.5281/zenodo.14065340
title: Model and data files of TomoATT for regional tomography in central California near Parkfield

description: The model and data files of TomoATT for regional tomography in central California near Parkfield.
DOI: 10.5281/zenodo.14065341
title: Model and data files of TomoATT for regional tomography in central California near Parkfield

description: The model and data files of TomoATT for regional tomography in central California near Parkfield.
DOI: 10.18419/darus-3386/12
title: DNMT3C wt_R2_CN.tabular
DOI: 10.18419/darus-3386/2
title: DNMT3C wt_R3_CN.tabular
DOI: 10.18419/darus-3386/4
title: DNMT3C wt_R1_CN.tabular
DOI: 10.18419/darus-3386/5
title: DNMT3C wt_R2_CG.tabular
DOI: 10.18419/darus-3386/8
title: DNMT3C wt_R3_CG.tabular
DOI: 10.18419/darus-3386/9
title: DNMT3C wt_R1_CG.tabular
DOI: 10.18419/darus-3386/1
title: readme_random_flank_substrate.pdf
DOI: 10.18419/darus-3386/10
title: DNMT3C wt_R5_CN.tabular
DOI: 10.18419/darus-3386/11
title: DNMT3C wt_R4_CN.tabular
DOI: 10.18419/darus-3386/13
title: DNMT3C wt_R4_CG.tabular
DOI: 10.18419/darus-3386/3
title: DNMT3C wt_R6_CN.tabular
DOI: 10.18419/darus-3386/6
title: DNMT3C wt_R5_CG.tabular
DOI: 10.18419/darus-3386/7
title: DNMT3C wt_R7_CG.tabular
DOI: 10.15468/dl.8rfp29
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Macaca mulatta (Zimmermann, 1780), Trachypithecus phayrei (Blyth, 1847), Macaca arctoides (I.Geoffroy Saint-Hilaire, 1831), Macaca thibetana (A.Milne-Edwards, 1870), Rhinopithecus roxellana (A.Milne-Edwards, 1870), Nomascus hainanus (Thomas, 1892), Trachypithecus francoisi (de Pousargues, 1898), Macaca munzala Sinha, Datta, Madhusudan & Mishra, 2005, Nomascus concolor (Harlan, 1826), Nycticebus pygmaeus Bonhote, 1907, Trachypithecus leucocephalus Tan, 1957, Nomascus leucogenys (Ogilby, 1840), Rhinopithecus bieti A.Milne-Edwards, 1897, Trachypithecus crepusculus (Elliot, 1909), Hoolock tianxing Peng-Fei Fan, Kai He, Xing Chen et al., 2017, Trachypithecus shortridgei (Wroughton, 1915), Rhinopithecus brelichi Thomas, 1903, Macaca assamensis (McClelland, 1840), Nomascus nasutus (Kunkel d'Herculais, 1884), Hoolock hoolock (Harlan, 1834), Macaca leonina (Blyth, 1863), Macaca cyclopis (Swinhoe, 1863), Hylobates lar (Linnaeus, 1771), Trachypithecus pileatus (Blyth, 1843), Semnopithecus schistaceus Hodgson, 1840, Macaca leucogenys Li, Zhao & Fan, 2015, Nycticebus bengalensis (Lacépède, 1800))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 1980",
 "Country is one of (China, Chinese Taipei)",
 "Geometry POLYGON((73 4,135 4,135 53,73 53,73 4))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006856-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3386/14
title: DNMT3C C543N V547A_R2_CG.tabular
DOI: 10.18419/darus-3386/15
title: DNMT3C C543N V547A_R3_CG.tabular
DOI: 10.18419/darus-3386/16
title: DNMT3C C543N V547A_R2_CN.tabular
DOI: 10.18419/darus-3386/17
title: DNMT3C C543N V547A_R1_CN.tabular
DOI: 10.18419/darus-3386/18
title: DNMT3C C543N V547A_R3_CN.tabular
DOI: 10.18419/darus-3386/19
title: DNMT3C C543N V547A_R1_CG.tabular
DOI: 10.18419/darus-3386/20
title: DNMT3C wt_R6_CG.tabular
DOI: 10.18419/darus-3386/21
title: DNMT3C V547I_R2_CG.tabular
DOI: 10.18419/darus-3386/22
title: DNMT3C V547G_R1_CG.tabular
DOI: 10.18419/darus-3386/23
title: DNMT3C V547G_R2_CG.tabular
DOI: 10.18419/darus-3386/24
title: DNMT3C V547I_R1_CG.tabular
DOI: 10.18419/darus-3386/25
title: Compilation of data sets.pdf
DOI: 10.18419/darus-3695/1
title: ch6-R_Cm_C_C-rod_reference_frame.mp4
DOI: 10.18419/darus-3695/2
title: ch4-F_Cm_C_C.mp4
DOI: 10.6084/m9.figshare.27645879
title: River and species speciation rate data

description: The roles of environmental heterogeneity (topography, climate), glaciation, dispersal ability, colonisation time and time-since-speciation to large-scale variation in speciation rates of freshwater fish faunas in the Americas are assessed.
DOI: 10.6084/m9.figshare.27645879.v1
title: River and species speciation rate data

description: The roles of environmental heterogeneity (topography, climate), glaciation, dispersal ability, colonisation time and time-since-speciation to large-scale variation in speciation rates of freshwater fish faunas in the Americas are assessed.
DOI: 10.18419/darus-3695/3
title: ch7-I_Cg_C_F-2x2_gradient_lines.mp4
DOI: 10.18419/darus-3695/4
title: ch7-I_Cg_C_F-6rods.mp4
DOI: 10.18419/darus-3695/5
title: ch7-I_CgCm_C_aF-1x2_condition_regions.mp4
DOI: 10.18419/darus-3695/6
title: ch4-F_Cm_Rl_C.mp4
DOI: 10.18419/darus-3695/7
title: ch5-M_VQD_C_-na30.mp4
DOI: 10.18419/darus-3695/8
title: ch6-R_V_C_I-Run09_simulation.mp4
DOI: 10.18419/darus-3695/9
title: ch6-R_Cg_C_S-na25.mp4
DOI: 10.18419/darus-3695/10
title: ch6-R_V_C_I.mp4
DOI: 10.18419/darus-3695/11
title: ch7-I_CgCm_C_aF-1D_lattice_n16.mp4
DOI: 10.18419/darus-3695/12
title: ch6-R_Cm_C_C-lab_reference_frame.mp4
DOI: 10.18419/darus-3695/13
title: ch6-R_CmT_C_C-lab_reference_frame.mp4
DOI: 10.18419/darus-3695/14
title: ch5-M_VD_C_-na60.mp4
DOI: 10.18419/darus-3695/15
title: ch4-F_Cm_Rl_C_experiment.mp4
DOI: 10.18419/darus-3695/16
title: ch4-F_Cm_C_C_experiment.mp4
DOI: 10.18419/darus-3695/17
title: ch6-R_CmT_C_C-rod_reference_frame.mp4
DOI: 10.18419/darus-3695/18
title: ch7-I_CgCm_C_aF-2x2_condition_regions.mp4
DOI: 10.18419/darus-3695/19
title: ch7-I_Cg_C_F-1D_lattice_n16.mp4
DOI: 10.5281/zenodo.14053820
title: Data file for examples 1-3 of TomoATT

description: The traveltime data file for the examples 1-3 in TomoATT.
DOI: 10.5281/zenodo.14053821
title: Data file for examples 1-3 of TomoATT

description: The traveltime data file for the examples 1-3 in TomoATT.
DOI: 10.18419/darus-3695/20
title: ch5-M_VQD_C_A.mp4
DOI: 10.18419/darus-3695/21
title: ch4-F_Cm_C_Z.mp4
DOI: 10.18419/darus-3695/22
title: ch6-R_V_C_-Run09_simulation.mp4
DOI: 10.18419/darus-3695/23
title: ch6-R_Cg_C_S-na10.mp4
DOI: 10.18419/darus-3695/24
title: ch6-R_V_C_-Run09_experiment.mp4
DOI: 10.18419/darus-3695
title: Supplementary videos for "Task oriented algorithms for intelligent self propelled micro-agents"

description: The presented videos visualize chosen aspects of 2D simulations with controlled active propelled agents. Some simulations concern agents that find a point (in maze), rotate a rod, rotate rods arranged in a lattice
description: the name of each . mp4 file indicates to which chapter of the master thesis the video is related to. Also in the file name the is an identifier included of the form X_X_X_X with X being placeholders for different aspects of the underlying agent algorithm. Aspects are: addressed task, used sensor, algorithm type, characteristic behavior.
DOI: 10.18419/darus-3695/25
title: ch3-R_V_C_-Run09_experiment_raw.mp4
DOI: 10.18419/darus-1028/1
title: DSC02108.JPG
DOI: 10.18419/darus-1028/2
title: DSC02117.JPG
DOI: 10.18419/darus-1028/3
title: DSC02111.JPG
DOI: 10.18419/darus-1028/4
title: DSC02107.JPG
DOI: 10.18419/darus-1028/5
title: DSC02097.JPG
DOI: 10.18419/darus-3896
title: Code for Training and Testing CNVVE

description: &lt;p&gt;This dataset consists of files used for training and testing the &lt;a href="https://doi.org/10.18419/darus-3898"&gt;CNVVE Dataset&lt;/a&gt;. This dataset consists of 950 audio samples encompassing six distinct classes of voice expressions. These expressions were collected from 42 generous individuals who donated their voice recordings for the study. By making the dataset publicly accessible, we hope to facilitate further research and development of computational methods for non-verbal voice-based interactions.&lt;/p&gt;

&lt;p&gt;For more info, please check &lt;a href="https://doi.org/10.21437/Interspeech.2023-201"&gt;the paper&lt;/a&gt; or feel free to contact the authors for any inquiries.&lt;/p&gt;
description: Further information can be found in the README.md.
DOI: 10.18419/darus-1028/6
title: DSC02092.JPG
DOI: 10.18419/darus-1028/7
title: DSC02119.JPG
DOI: 10.18419/darus-1028/8
title: DSC02099.JPG
DOI: 10.48597/tpef-mmj8
title: Measurement of Aerosol light scattering at Steamboat Springs, Colorado (Storm Peak Laboratory)

description: Measurement of Aerosol light scattering at Steamboat Springs, Colorado (Storm Peak Laboratory)
DOI: 10.18419/darus-1028/9
title: DSC02106.JPG
DOI: 10.18419/darus-1028/10
title: DSC02115.JPG
DOI: 10.18419/darus-1028/11
title: DSC02113.JPG
DOI: 10.18419/darus-1028/12
title: DSC02104.JPG
DOI: 10.18419/darus-1028/13
title: DSC02109.JPG
DOI: 10.18419/darus-1028/14
title: DSC02098.JPG
DOI: 10.18419/darus-1028/15
title: DSC02114.JPG
DOI: 10.18419/darus-1028/16
title: DSC02094.JPG
DOI: 10.18419/darus-1028/17
title: DSC02116.JPG
DOI: 10.18419/darus-1028/18
title: DSC02118.JPG
DOI: 10.15468/dl.n2zunz
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Dicerorhinus sumatrensis (G.Fischer, 1814)"
 ]
}

 The dataset includes 101 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006857-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1028/19
title: DSC02096.JPG
DOI: 10.18419/darus-1028/20
title: DSC02101.JPG
DOI: 10.18419/darus-1028/21
title: DSC02112.JPG
DOI: 10.18419/darus-1028/22
title: DSC02103.JPG
DOI: 10.18419/darus-1028/23
title: DSC02105.JPG
DOI: 10.18419/darus-1028/24
title: DSC02102.JPG
DOI: 10.18419/darus-1028/25
title: DSC02120.JPG
DOI: 10.18419/darus-1028/26
title: DSC02093.JPG
DOI: 10.18419/darus-1028
title: 2D pictures of KK16-09

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: directional gyro
DOI: 10.18419/darus-1028/27
title: DSC02110.JPG
DOI: 10.18419/darus-3231/6
title: changelog.txt
DOI: 10.18419/darus-3231/7
title: P05_Recording.npy
DOI: 10.18419/darus-3231/10
title: P06_Recording.npy
DOI: 10.18419/darus-3231/3
title: P07_Recording.npy
DOI: 10.18419/darus-3231/5
title: P06_Recording.tab
DOI: 10.18419/darus-3231/8
title: P06_Annotation.npy
DOI: 10.18419/darus-3231/1
title: P08_Recording.npy
DOI: 10.18419/darus-3231/11
title: P09_Annotation.npy
DOI: 10.18419/darus-3231/12
title: P09_Recording.tab
DOI: 10.18419/darus-3231/13
title: P07_Annotation.npy
DOI: 10.18419/darus-3231/4
title: P09_Recording.npy
DOI: 10.18419/darus-3231/9
title: P09_Annotation.csv
DOI: 10.18419/darus-3231/14
title: P08_Annotation.npy
DOI: 10.18419/darus-3231/2
title: Readme.txt
DOI: 10.18419/darus-3231/15
title: P10_Annotation.npy
DOI: 10.18419/darus-3231/16
title: P07_Annotation.csv
DOI: 10.18419/darus-3231/17
title: P05_Recording.tab
DOI: 10.18419/darus-3231/18
title: P10_Recording.npy
DOI: 10.18419/darus-3231/19
title: P08_Recording.tab
DOI: 10.18419/darus-3231/20
title: P07_Recording.tab
DOI: 10.18419/darus-3231/21
title: P10_Annotation.tab
DOI: 10.18419/darus-3231/22
title: P06_Annotation.csv
DOI: 10.18419/darus-3231/23
title: P05_Annotation.csv
DOI: 10.18419/darus-3231/24
title: P10_Recording.tab
DOI: 10.18419/darus-3231/25
title: P08_Annotation.tab
DOI: 10.18419/darus-3231
title: Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

description: &lt;p&gt;We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of watching media, 7 hours of eating, and 11.4 hours of other (special) activities. Note that annotations are not mutually exclusive, i.e. these durations should be seen independently and sum up to more than the actual dataset size. Most of our participants were students and wore the eye tracker through one day of their normal university life. This is reflected in the overall predominant activities, namely focused work, reading, and computer work.&lt;/p&gt; 

&lt;p&gt;Otherwise, as can also be seen from the table, our dataset contains significant variability with respect to participants’ daily routines and consequently the number, type, and distribution of activities that they performed. For example, while P1 wore the eye tracker during a normal working day at the university, P7 and P9 recorded at a weekend and stayed at home all day mainly reading and working on the computer (P7) or watching movies (P9) with little or no social interactions.&lt;/p&gt;
description: The data is only to be used for non-commercial scientific purposes.
DOI: 10.18419/darus-3231/26
title: P05_Annotation.npy
DOI: 10.15468/dl.hm54gp
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Lavandula luisieri (Rozeira) Rivas Mart."
 ]
}

 The dataset includes 156 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006858-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3591/6
title: totalSC_2048_occupiedSC_500_bandwdth_160MHz_format_HELTF1X.tab

description: Sequence contains one OFDM symbol with 2048 total subcarriers, 500 occupied subcarriers. Format complies to 160 MHz 1xHE-LTF defined IEEE Std 802.11ax-2021, Eq. (27-50).
DOI: 10.18419/darus-1851/1
title: extract-all.awk
DOI: 10.18419/darus-1851/2
title: scaling.tab
DOI: 10.18419/darus-1851/3
title: simulation_script.tcl
DOI: 10.18419/darus-1851/4
title: calculate_heterogeneity.py
DOI: 10.18419/darus-1851/5
title: agglomerate-1954.txt

description: Positions of the particles constituting the agglomerate. One particle position as X, Y, Z coordinates per row.
Positions are measured in multiples of 20nm.
DOI: 10.6084/m9.figshare.27645927
title: Active layer thickness derived from ground-based soil temperature measurements in Lena River basin, 1957-2013

description: Time series of the departure of active layer thickness from its long-term mean across 25 stations in the Lena River basin from the mid-1950s through 2013. The maximum depth of the 0 ?C isotherm (i.e., active layer thickness) is determined by linear interpolation between two adjacent depths.Please cite: Wang, K.; Zhang, T.; Yang, D. Permafrost dynamics and their hydrologic impacts over the Russian Arctic drainage basin. <i>Adv. Clim. Chang. Res.</i> <b>2021</b>, <i>12</i>, 482–498. https://doi.org/10.1016/j.accre.2021.03.014
DOI: 10.18419/darus-1851/6
title: plot-results.py
DOI: 10.6084/m9.figshare.27645927.v1
title: Active layer thickness derived from ground-based soil temperature measurements in Lena River basin, 1957-2013

description: Time series of the departure of active layer thickness from its long-term mean across 25 stations in the Lena River basin from the mid-1950s through 2013. The maximum depth of the 0 ?C isotherm (i.e., active layer thickness) is determined by linear interpolation between two adjacent depths.Please cite: Wang, K.; Zhang, T.; Yang, D. Permafrost dynamics and their hydrologic impacts over the Russian Arctic drainage basin. <i>Adv. Clim. Chang. Res.</i> <b>2021</b>, <i>12</i>, 482–498. https://doi.org/10.1016/j.accre.2021.03.014
DOI: 10.5517/ccdc.csd.cc2c1gfb
title: CCDC 2176151: Experimental Crystal Structure Determination

description: Related Article: Matthias Pretzler, Annette Rompel|2024|ChemBioChem|25|e202400050|doi:10.1002/cbic.202400050
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: 10.18419/darus-1851/7
title: lj-default-1700ppp.dat

description: Average, minimum and maximum runtime as well as imbalance every 4000 time steps.
Data generated using the standard Cartesian domain decomposition of ESPResSo.
DOI: 10.5517/ccdc.csd.cc2dncr6
title: CCDC 2224118: Experimental Crystal Structure Determination

description: Related Article: Paul P. Sinclair, Richmond Sarpong|2024|Angew.Chem.,Int.Ed.|63|e202409139|doi:10.1002/anie.202409139
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: 10.15468/dl.e43wng
title: Occurrence Download

description: A dataset containing 357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((49.52228 -14.53438,49.96208 -14.53438,49.96208 -14.35853,49.52228 -14.35853,49.52228 -14.53438))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 357 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006859-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1851/8
title: lbm-md-coupled-sim.py