cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7295/w9cil54411
title: CIL:54411, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54412
title: CIL:54412, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54413
title: CIL:54413, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54414
title: CIL:54414, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54415
title: CIL:54415, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54416
title: CIL:54416, Drosophila melanogaster, Entire Organism
DOI: 10.18419/darus-1157/316
title: Ellipsoid_r100_r90.stp

description: CAD Konstruktion
DOI: 10.17608/k6.auckland.13166675
title: Data accompanying Anderson et al. IBIS

description: Pollination and seed dispersal data for Dysoxylum spectabile and Pittosporum crassifolium at reserve and non-reserve sites in New Zealand: 5-minute counts of bird mutualists,bird visitation rates to flowering and fruiting trees,fruit set and seed set under treatments with varying pollinator access to flowers,pollination success, seed removal, germination of bird-cleaned and intact P. crassifolium seeds,germination of fresh and 1-year old P. crassifolium seed,pre-dispersal seed predation (P. crassifolium).<br><br>
DOI: 10.17608/k6.auckland.13166675.v1
title: Data accompanying Anderson et al. IBIS

description: Pollination and seed dispersal data for Dysoxylum spectabile and Pittosporum crassifolium at reserve and non-reserve sites in New Zealand: 5-minute counts of bird mutualists,bird visitation rates to flowering and fruiting trees,fruit set and seed set under treatments with varying pollinator access to flowers,pollination success, seed removal, germination of bird-cleaned and intact P. crassifolium seeds,germination of fresh and 1-year old P. crassifolium seed,pre-dispersal seed predation (P. crassifolium).<br><br>
DOI: 10.18419/darus-1157/317
title: Ellipsoid_r100_r30.stp

description: CAD Konstruktion
DOI: 10.5517/ccdc.csd.cc26s5qx
title: CCDC 2049029: Experimental Crystal Structure Determination

description: Related Article: Haifa Alharbi, Mohamed Elsherbini, Jihan Qurban, Thomas Wirth|2021|Chem.-Eur.J.|27|4317|doi:10.1002/chem.202005253
DOI: 10.5517/ccdc.csd.cc26s5ry
title: CCDC 2049030: Experimental Crystal Structure Determination

description: Related Article: Haifa Alharbi, Mohamed Elsherbini, Jihan Qurban, Thomas Wirth|2021|Chem.-Eur.J.|27|4317|doi:10.1002/chem.202005253
DOI: 10.5517/ccdc.csd.cc26s5sz
title: CCDC 2049031: Experimental Crystal Structure Determination

description: Related Article: Haifa Alharbi, Mohamed Elsherbini, Jihan Qurban, Thomas Wirth|2021|Chem.-Eur.J.|27|4317|doi:10.1002/chem.202005253
DOI: 10.5517/ccdc.csd.cc26s5t0
title: CCDC 2049032: Experimental Crystal Structure Determination

description: Related Article: Haifa Alharbi, Mohamed Elsherbini, Jihan Qurban, Thomas Wirth|2021|Chem.-Eur.J.|27|4317|doi:10.1002/chem.202005253
DOI: 10.5517/ccdc.csd.cc26s5w2
title: CCDC 2049034: Experimental Crystal Structure Determination

description: Related Article: Haifa Alharbi, Mohamed Elsherbini, Jihan Qurban, Thomas Wirth|2021|Chem.-Eur.J.|27|4317|doi:10.1002/chem.202005253
DOI: 10.5517/ccdc.csd.cc26t7bm
title: CCDC 2050040: Experimental Crystal Structure Determination

description: Related Article: Jing Zhang, Yong Xu, Zhiming Wang, Rong Zhong, Yurong Wang|2021|J.Org.Chem.|86|4262|doi:10.1021/acs.joc.1c00163
DOI: 10.5517/ccdc.csd.cc26z4x8
title: CCDC 2054770: Experimental Crystal Structure Determination

description: Related Article: Dmitri Trubitsõn, Jevgenija Martõnova, Marina Kudrjašova, Kristin Erkman, Ivar Järving, Tõnis Kanger|2021|Org.Lett.|23|1820|doi:10.1021/acs.orglett.1c00222
DOI: 10.18419/darus-1157/318
title: Ellipsoid_r100_r80.stp

description: CAD Konstruktion
DOI: 10.5281/zenodo.1246836
title: Raw data for "Sparse periodicity-based auditory features explain human performance in a spatial multi-talker auditory scene analysis task"

description: Raw data for the simulation study " Sparse periodicity-based auditory features explain human performance in a spatial multi-talker auditory scene analysis task" [1]. [1] Josupeit, A., Schoenmaker, E., van de Par, S., & Hohmann, V. (2018). Sparse periodicity‐based auditory features explain human performance in a spatial multitalker auditory scene analysis task. <em>European Journal of Neuroscience</em>, https://doi.org/10.1111/ejn.13981.
description: {"references": ["Josupeit, A., Schoenmaker, E., van de Par, S., & Hohmann, V. (2018). Sparse periodicity\u2010based auditory features explain human performance in a spatial multitalker auditory scene analysis task. European Journal of Neuroscience."]}
DOI: 10.5281/zenodo.1246835
title: Raw data for "Sparse periodicity-based auditory features explain human performance in a spatial multi-talker auditory scene analysis task"

description: Raw data for the simulation study " Sparse periodicity-based auditory features explain human performance in a spatial multi-talker auditory scene analysis task" [1]. [1] Josupeit, A., Schoenmaker, E., van de Par, S., & Hohmann, V. (2018). Sparse periodicity‐based auditory features explain human performance in a spatial multitalker auditory scene analysis task. <em>European Journal of Neuroscience</em>, https://doi.org/10.1111/ejn.13981.
description: {"references": ["Josupeit, A., Schoenmaker, E., van de Par, S., & Hohmann, V. (2018). Sparse periodicity\u2010based auditory features explain human performance in a spatial multitalker auditory scene analysis task. European Journal of Neuroscience."]}
DOI: 10.7295/w9cil54417
title: CIL:54417, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54418
title: CIL:54418, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54419
title: CIL:54419, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54420
title: CIL:54420, Drosophila melanogaster, Entire Organism
DOI: 10.7295/w9cil54421
title: CIL:54421, Drosophila melanogaster, Entire Organism
DOI: 10.6084/m9.figshare.14204678.v2
title: dataset.xls

description: To assess the quantification tumor burden in multiple myeloma (MM) patients using whole-body MRI and to identify the correlation between MRI parameters and prognostic biomarkers
DOI: 10.6084/m9.figshare.14204678
title: dataset.xls

description: To assess the quantification tumor burden in multiple myeloma (MM) patients using whole-body MRI and to identify the correlation between MRI parameters and prognostic biomarkers
DOI: 10.6084/m9.figshare.14204678.v1
title: dataset.xls

description: 使用全身MRI评估多发性骨髓瘤（MM）患者的量化肿瘤负荷，并确定MRI参数与预后生物标志物之间的相关性
DOI: 10.18419/darus-1157/319
title: Box_r45.stp

description: CAD Konstruktion
DOI: 10.34740/kaggle/dsv/1897237
title: Contract Understanding Atticus Dataset (CUAD)
DOI: 10.6084/m9.figshare.11474709
title: Interannual dynamics, diversity and evolution of the virome in Sclerotinia sclerotiorum from a single crop field

description: Virus genome sequences (fasta), alignment (fasta), and phylogenetic trees (newick)
DOI: 10.6084/m9.figshare.11474709.v1
title: Interannual dynamics, diversity and evolution of the virome in Sclerotinia sclerotiorum from a single crop field

description: Virus genome sequences (fasta), alignment (fasta), and phylogenetic trees (newick)
DOI: 10.18419/darus-1157/320
title: Pyramidenstumpf_a60.stp

description: CAD Konstruktion
DOI: 10.18419/darus-1157/321
title: Pyramide_a45.stp

description: CAD Konstruktion
DOI: 10.34740/kaggle/dsv/2015428
title: Contract Understanding Atticus Dataset (CUAD)
DOI: 10.6084/m9.figshare.14204819
title: Dataset of article submitted to JGR-Oceans Coastal upwelling combines river plume to shape hypoxia in the Changjiang Estuary and adjacent inner East China Sea shelf

description: This dataset provides the shipboard hydrological and biochemical data obtained in the Changjiang Estuary and adjacent inner East China Sea shelf, and the cruise was conducted during August 4 to 21 in 2018 onboard the R/V <i>Haili</i>. There are thirteen sheets in the Data Table, including surface, 10 m, 20 m, 30 m, bottom, and sections from A to H. These high-resolution data collected using biochemical sensors of oxygen and Chl-a along with CTD (conductivity-temperature-depth) make it possible to investigate the spatial morphology of hypoxic zone and underlying dynamic mechanisms in the inner East China Sea shelf.
DOI: 10.18419/darus-1157/322
title: Pyramidenstumpf_a50.stp

description: CAD Konstruktion
DOI: 10.6084/m9.figshare.14183072
title: Idealized simulations with Antarctic meltwater

description: Idealized simulations result, which is used for the present research, was attached as netCDF files. <br>Idealized ensemble experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) model CM2.1 coupled with the biogeochemical (BGC) model Tracers of Phytoplankton with Allometric Zooplankton version 2 (TOPAZv2) (https://www.gfdl.noaa.gov/earth-system-model/, Dunne et al., 2013). The version of GFDL-CM2.1-TOPAZ used here is the same as that used in Lim et al. (2018, 2019), in which detailed descriptions of the model configuration and initial conditions are given.<br>Three different simulations were conducted. The first was a long-term control simulation over 2000 years (CTRL) applying a fixed carbon dioxide (CO2) concentration in 1990 of 353 parts per million (ppm). The CTRL experiment in the present study was analyzed only for the last 1000 years to avoid long-term drift. The other two experiments were global warming simulations that either included additional Antarctic meltwater forcing (GWMW) or excluded it (GW). These simulations were performed over 100 years with eight ensembles. The individual ensembles had different initial conditions taken from CTRL every 100 years. Both global warming simulations were prescribed by increasing atmospheric CO2 concentration at a rate of 1% year−1 until it doubled (706 ppm) from years 1 to 70 in the model, and then the CO2 concentration (706 ppm) was fixed until the end of the model integration.
DOI: 10.18419/darus-1157/323
title: Pyramidenstumpf_a40.stp

description: CAD Konstruktion
DOI: 10.18419/darus-1157/324
title: Ellipsoid_r100_r40.stp

description: CAD Konstruktion
DOI: 10.18419/darus-1157/325
title: Pyramide_a25.stp

description: CAD Konstruktion
DOI: 10.6084/m9.figshare.14204840
title: ewDavidWmhSegmentationSlicewiseWeights.h5

description: wmh segmentation weights.
DOI: 10.6084/m9.figshare.14204840.v1
title: ewDavidWmhSegmentationSlicewiseWeights.h5

description: wmh segmentation weights.
DOI: 10.18419/darus-1157/326
title: Ellipsoid_r100_r60.stp

description: CAD Konstruktion
DOI: 10.34740/kaggle/dsv/2015367
title: British Museum Egyptian Objects 700 330 BCE
DOI: 10.18419/darus-1157/327
title: Pyramidenstumpf_a65.stp

description: CAD Konstruktion
DOI: 10.18419/darus-1157/328
title: Unsymmetrisch_p1.stp

description: CAD Konstruktion, p1 = Part 1
DOI: 10.5281/zenodo.4572904
title: Companion for "Improving Workload Balance of a Marine CSEM Inversion Application"

description: This is the companion code/data repository for the paper entitled "Improving Workload Balance of a Marine CSEM Inversion Application" by Jessica Imlau Dagostini, Henrique Corrêa Pereira da Silva, Vinicius Garcia Pinto, Roberto Machado Velho, Eduardo S. L. Gastal, and Lucas Mello Schnorr. The manuscript has been accepted for publication in February 2021 in the 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2021) to be held in be held on May 2021 in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021).
DOI: 10.5281/zenodo.4599800
title: Single-crystal X-ray diffraction data for CoSO4*H2O at 15 K obtained using open-flow helium cryostat

description: This dataset is a single-crystal X-ray diffraction data for CoSO4*H2O at 15 K obtained using open-flow helium cryostat. Diffraction pattern also has powder diffraction rings arising from solid air components, N2 and O2. The data can be viewed and treated with CrysAlisPro software.
DOI: 10.5281/zenodo.4572903
title: Companion for "Improving Workload Balance of a Marine CSEM Inversion Application"

description: This is the companion code/data repository for the paper entitled "Improving Workload Balance of a Marine CSEM Inversion Application" by Jessica Imlau Dagostini, Henrique Corrêa Pereira da Silva, Vinicius Garcia Pinto, Roberto Machado Velho, Eduardo S. L. Gastal, and Lucas Mello Schnorr. The manuscript has been accepted for publication in February 2021 in the 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2021) to be held in be held on May 2021 in conjunction with the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2021).
DOI: 10.5281/zenodo.4599799
title: Single-crystal X-ray diffraction data for CoSO4*H2O at 15 K obtained using open-flow helium cryostat

description: This dataset is a single-crystal X-ray diffraction data for CoSO4*H2O at 15 K obtained using open-flow helium cryostat. Diffraction pattern also has powder diffraction rings arising from solid air components, N2 and O2. The data can be viewed and treated with CrysAlisPro software.
DOI: 10.6084/m9.figshare.14204858
title: self-reflection(time1-2).xls

description: Data on Reflective thinking levels and attitudes of medical students
DOI: 10.6084/m9.figshare.13646672
title: Nitrogen addition stimulates soil aggregation and enhances carbon storage in terrestrial ecosystems of China: A meta-analysis

description: China is experiencing a high level of atmospheric nitrogen (N) deposition, which greatly affects the soil carbon (C) dynamics in terrestrial ecosystems. Soil aggregation contributes to the stability of soil structure and to soil C sequestration. Although many studies have reported the effects of N enrichment on bulk soil C dynamics, the underlying mechanisms explaining how soil aggregates respond to N enrichment remain unclear. Here, we used a meta-analysis of data from 76 N manipulation experiments in terrestrial ecosystems in China to assess the effects of N enrichment on soil aggregation and its sequestration of C. On average, N enrichment significantly increased the mean weight diameter of soil aggregates by 10%. The proportion of macroaggregates and silt-clay fraction were significantly increased (6%) and decreased (9%) by N enrichment, respectively. A greater response of macroaggregate C (+15%) than of bulk soil C (+5%) to N enrichment was detected across all ecosystems. However, N enrichment had minor effects on microaggregate C and silt-clay C. Magnitude of N enrichment effect on soil aggregation varied with ecosystem type and fertilization regime. Additionally, soil pH declined consistently and was correlated with soil aggregate C. Overall, our meta-analysis suggests that N enrichment promotes particulate organic C accumulation via increasing macroaggregate C and acidifying soils. In contrast, increases in soil aggregation could inhibit microbially-mediated breakdown of soil organic matter, causing minimal change in mineral-associated organic C. Our findings highlight that atmospheric N deposition may enhance the formation of soil aggregates and their sequestration of C in terrestrial ecosystems in China.
DOI: 10.18419/darus-1157/329
title: Ellipsoidenstumpf_p2.stp

description: CAD Konstruktion, p2 = Part 2
DOI: 10.25919/wwtr-td78
title: Parkes observations for project PX500 semester 2020OCTS_09

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.18419/darus-1157/330
title: Freiform_p1.stp

description: CAD Konstruktion, p1 = Part 1
DOI: 10.18419/darus-1157/331
title: Ellipsoidenstumpf_p1.stp

description: CAD Konstruktion, p1 = Part 1
DOI: 10.18419/darus-1157/332
title: Unsymmetrisch_p2.stp

description: CAD Konstruktion, p2 = Part 2
DOI: 10.6084/m9.figshare.14205083
title: twodmatpd.json

description: 2DMatPedia in JARVIS format (https://www.nature.com/articles/s41597-019-0097-3)
DOI: 10.18419/darus-1157/333
title: Freiform_p2.stp

description: CAD Konstruktion, p2 = Part 2
DOI: 10.17632/vhnstcgc3d.1
title: Data for: Fundamental pricing laws and long memory effects in the day-ahead power market

description: See enclosed file
DOI: 10.18419/darus-1157/334
title: Globale_geometrische_Kennwerte_aller_Körperpaare_der_generischen_Koerperklassen.tab

description: Wie gleichnamiges PDF nur in tabellarischem Format.
DOI: 10.6084/m9.figshare.14205242
title: Additional file 2 of Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

description: Additional file 2 Worksheet Subnetwork genes 8 samples provides identifiers and gene symbols of 167 subnetwork genes, in how many and in which samples they were selected. Worksheet Gene module enrichment presents results of Fisher test calculations comparing subnetwork gene sets to gene modules and DE gene sets. Each row contains data for a DE gene set or a gene module consisting of the total group size and column tripletts with p-value, adjusted p-value as well as the number of hits, respectively, observed in comparisons to the union of genes from 8 subnetworks, the set of genes occurring in the majority, the set of genes found in all of the subnetworks and each of the 8 samples. Highlighted are rows corresponding to green and turquoise gene modules, which were most often significantly associated with subnetwork gene sets (grey), adjusted p-values below 0.05 (red) and between 0.05 and 0.1 (yellow).
DOI: 10.6084/m9.figshare.14205242.v1
title: Additional file 2 of Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

description: Additional file 2 Worksheet Subnetwork genes 8 samples provides identifiers and gene symbols of 167 subnetwork genes, in how many and in which samples they were selected. Worksheet Gene module enrichment presents results of Fisher test calculations comparing subnetwork gene sets to gene modules and DE gene sets. Each row contains data for a DE gene set or a gene module consisting of the total group size and column tripletts with p-value, adjusted p-value as well as the number of hits, respectively, observed in comparisons to the union of genes from 8 subnetworks, the set of genes occurring in the majority, the set of genes found in all of the subnetworks and each of the 8 samples. Highlighted are rows corresponding to green and turquoise gene modules, which were most often significantly associated with subnetwork gene sets (grey), adjusted p-values below 0.05 (red) and between 0.05 and 0.1 (yellow).
DOI: 10.6084/m9.figshare.14205246
title: Additional file 1 of Microbiological findings in early and late implant loss: an observational clinical case-controlled study

description: Additional file 1. Table of patient metadata.
DOI: 10.6084/m9.figshare.14205246.v1
title: Additional file 1 of Microbiological findings in early and late implant loss: an observational clinical case-controlled study

description: Additional file 1. Table of patient metadata.
DOI: 10.6084/m9.figshare.14205260
title: Additional file 1 of Serial interval and incubation period of COVID-19: a systematic review and meta-analysis

description: Additional file 1: Table S1. Assessing the risk of bias for the included studies to estimate the pooled avarage of serial interval of COVID-19, 2020.
DOI: 10.6084/m9.figshare.14205263
title: Additional file 2 of Serial interval and incubation period of COVID-19: a systematic review and meta-analysis

description: Additional file 2: Table S2. Assessing the risk of bias for the included studies to estimate the pooled avarage incubation period of COVID-19, 2020.
DOI: 10.6084/m9.figshare.14205260.v1
title: Additional file 1 of Serial interval and incubation period of COVID-19: a systematic review and meta-analysis

description: Additional file 1: Table S1. Assessing the risk of bias for the included studies to estimate the pooled avarage of serial interval of COVID-19, 2020.
DOI: 10.6084/m9.figshare.14205263.v1
title: Additional file 2 of Serial interval and incubation period of COVID-19: a systematic review and meta-analysis

description: Additional file 2: Table S2. Assessing the risk of bias for the included studies to estimate the pooled avarage incubation period of COVID-19, 2020.
DOI: 10.6084/m9.figshare.14205261
title: Additional file 10 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 10:. Unambiguous A calls: List of all A genes that were called once or were concordant between syntenic calls and painting calls.
DOI: 10.6084/m9.figshare.14205261.v1
title: Additional file 10 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 10:. Unambiguous A calls: List of all A genes that were called once or were concordant between syntenic calls and painting calls.
DOI: 10.6084/m9.figshare.14205264
title: Additional file 11 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 11:. Unambiguous B calls: List of all B genes that were called once or were concordant between syntenic calls and painting calls.
DOI: 10.6084/m9.figshare.14205264.v1
title: Additional file 11 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 11:. Unambiguous B calls: List of all B genes that were called once or were concordant between syntenic calls and painting calls.
DOI: 10.6084/m9.figshare.14205267
title: Additional file 12 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 12: Codeml Oropetium results: Synonymous substitution rates from codeml results between Eleusine coracana and Oropetium thomaeum.
DOI: 10.6084/m9.figshare.14205270
title: Additional file 13 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 13: Codeml Eleusine coracana results: Synonymous substitution rates from codeml results between Eleusine coracana and itself.
DOI: 10.6084/m9.figshare.14205270.v1
title: Additional file 13 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 13: Codeml Eleusine coracana results: Synonymous substitution rates from codeml results between Eleusine coracana and itself.
DOI: 10.6084/m9.figshare.14205273
title: Additional file 14 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 14: Codeml Eleusine indica results: Synonymous substitution rates from codeml results between Eleusine coracana and Eleusine indica. (TSV 5344 kb)
DOI: 10.6084/m9.figshare.14205273.v1
title: Additional file 14 of Detection of subgenome bias using an anchored syntenic approach in Eleusine coracana (finger millet)

description: Additional file 14: Codeml Eleusine indica results: Synonymous substitution rates from codeml results between Eleusine coracana and Eleusine indica. (TSV 5344 kb)