cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5445/ir/1000096833
title: PRESLHY Experiment series E3.1 (Cryogenic Hydrogen Blow-down/Discharge) results – part A "high pressure"

description: In the frame of the PRESLHY project more than 200 hydrogen blow-down experiments were made with the DisCha-facility at KIT and about half of the experiments were made at cryogenic temperatures (approx. 80 K). During the experimental campaign the facility was continuously improved and extended, since several problems with the facility and instrumentation were encountered. However, the tests showed very good reproducibility. Although the actual exploitation of the data is left for the further modelling work in the work packages WP3 and WP4, some interesting observations are: not a single test showed a spontaneous ignition, although the cold jets generated relative strong electrostatic fields. This static electricity seems to be generated by ice crystal which form on the release nozzle before the tests. The cold tests with large diameter and high pressure show strong temperature decay in the reservoir close to the boiling point of hydrogen and quite a huge fraction of “particles” entrained in the released jet were recorded. It is assumed that this is ice from ambient humidity and frozen on the nozzle before the actual test. However, there might be condensed hydrogen involved, as the acceleration of the gas through the nozzle might bring down the temperature below the boiling point. Only detailed multi-phase simulations accounting for non-equilibrium effects of the real gases’ behaviour might clarify this issue.
DOI: 10.5284/1055096
title: 10-12 Queensway, Southampton. Archaeological Evaluation. (SOU1639) (OASIS ID: wessexar1-164272)

description: Wessex Archaeology was commissioned by Hampshire and Regional Property Group Ltd on behalf of PMC Construction and Development Services Ltd to undertake a programme of archaeological trial trenching at 10-12 Queensway, Southampton, Hampshire, centred on National Grid Reference (NGR) 442210 111208. The works were required as a planning condition in advance of the demolition of the existing buildings and the development of residential accommodation. The evaluation consisted of three trenches, which all encountered modern and post-medieval deposits beneath the concrete floor of the warehouse building. Natural geology was found at a depth of 1.5m below the top of the concrete level. A very small quantity of finds was recovered from post-medieval layers overlying natural geology and consisted of undatable two small fragments of clay pipe stem and a single fragment of possibly residual medieval fine glazed ware. The remains of a backfilled brick cellar were also noted, confirming the previous existence of 19th century buildings within the site. The fieldwork was carried out between 24th and 25th of October 2013.
DOI: 10.5445/ir/1000096828
title: MIPAS temperature averaging kernels

description: This data set contains MIPAS averaging kernels used by König et al, (2019). N. König, P. Braesicke and T. von Clarmann, Tropopause altitude determination from temperature profile measurements of reduced vertical resolution, Atmos. Meas. Tech., accepted for publication, 2019
DOI: 10.25345/c5n941
title: MassIVE MSV000084157 - Proteomics-based screening of the endothelial heparan sulfate interactome
title: We report a novel proteomics workflow for the identification and characterization of membrane-anchored and extracellular proteins that bind to heparin. The technique is based on Limited Proteolysis of live cells in the absence of denaturation and fixation, Heparin-Affinity chromatography, and high-resolution LC-MS/MS, which we designate as LPHAMS. Application of LPHAMS to U937 monocytic and primary murine and human endothelial cells led to the identification of 64 plasma membrane, extracellular matrix, and soluble secreted proteins, including many previously unidentified heparin-binding proteins. The method also facilitates the mapping of the heparin-binding domains, making it possible to make predictions on the location of the heparin-binding site. To validate the discovery feature of LPHAMS, we characterized one of the newly discovered heparin-binding proteins, CLEC14A, a member of the C-type lectin family that modulates angiogenesis. The C-type lectin domain of CLEC14A binds to heparin with nanomolar affinity via a monovalent interaction and the heparin-binding site was mapped by molecular modeling and mutagenesis. CLEC14A can physically interact with other glycosaminoglycans including endothelial heparan sulfate and chondroitin sulfate E, but not with neutral or sialylated oligosaccharides. The combination of limited proteolysis and mass spectrometry led to the identification of previously undocumented glycosaminoglycan-binding proteins and mapping of their ligand binding sites. The technique should be applicable to other cells and glycans and provides a way to expand the repertoire glycan-binding proteins for further study.
DOI: 10.3886/e110961
title: Reading Motivation and Book Reading

description: In comparison with younger children, older students tend to be less motivated to read. A literature class that fails to motivate students is one aspect that has often been discussed in this regard. Using data from 405 German ninth graders, we examined how students’ book reading is related to intrinsic situational and intrinsic habitual reading motivation in and out of school. The books that students reported to have read were characterized by LIX readability and text type. Our results first showed that recreational reading motivation exceeded school reading motivation. Second, the reading of classic literature was a negative predictor of intrinsic situational reading motivation. Third, in the school context, students who read more difficult books were less motivated to read them. Fourth, analyses showed that individual book-reading experiences were linked to intrinsic habitual reading motivation. We discuss practical implications for book reading in and out of the literature class.<br>
DOI: 10.3886/e110961v1
title: biks_bookreading

description: The assessments of the second longitudinal section (BiKS-8-14) of the BiKS-Study took place in primary and secondary schools in the states of Bavaria and Hesse starting in the spring of 2006 in the 3rd grade of 155 primary schools. The children of the 2,395 participating families were surveyed on three measurement points at a six-month interval. The majority of these children moved on to a secondary school in summer 2007. Along with new classmates (approx. 900), these children and their parents were then monitored at annual intervals across five times of measurement until the end of 9th grade. Beside the regular assessment of the children’s competencies, the participating young people, their parents and their teachers were interviewed. The focus of the longitudinal section BiKS-8-14 was on the different development and decision patterns of children before and after the transition to different school types at secondary level (Hauptschule, Realschule, Gymnasium).<br>
DOI: 10.5519/qd.wst1614m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (152 records)
DOI: 10.5281/zenodo.3355385
title: Signal frequency dependence of ionospheric scintillations: An indicator of irregularity spectrum characteristics

description: The files contain the following data for 11 days in March 2015: 1) L-band S4 for the L1 signal from geostationary satellite GSAT-10 recorded at two stations: MUM and TRV. The data columns represent: Indian Standard Time (IST), signal path ELEVATION and AZIMUTH, S4 , S4_corrected , IPP_LATITUDE and IPP_LONGITUDE. The file name contains the day information. 2) VHF S4 for the 251 MHz signal from geostationary satellite UFO10 recorded at two stations: MUM and TIR. The data columns represent: Year Month Day IST S4.
DOI: 10.5281/zenodo.3355386
title: Signal frequency dependence of ionospheric scintillations: An indicator of irregularity spectrum characteristics

description: The files contain the following data for 11 days in March 2015: 1) L-band S4 for the L1 signal from geostationary satellite GSAT-10 recorded at two stations: MUM and TRV. The data columns represent: Indian Standard Time (IST), signal path ELEVATION and AZIMUTH, S4 , S4_corrected , IPP_LATITUDE and IPP_LONGITUDE. The file name contains the day information. 2) VHF S4 for the 251 MHz signal from geostationary satellite UFO10 recorded at two stations: MUM and TIR. The data columns represent: Year Month Day IST S4.
DOI: 10.17632/7nsphs4fjm.4
title: Transgenic rescue results with a null mutant of Drosophila Nkt

description: Figure. A genomic Nkt+ transgene rescues sleep in a null mutant whereas a UAS transgene expressing in only glia or neurons does not. A) Rescue of sleep in an Nkt null mutant (L2-11) by one copy of a fosmid transgene expressing NKT+-sGFP under control of the endogenous promoter. B-C) Lack of rescue of the null L2-11 mutant with glial (B) or neuronal (C) expression of a UAS-Nkt+ transgene. Sleep amount in null mutants expressing Nkt+ was not significantly different from that of mutant controls. The D. virilis U-Dv_Nkt+ transgene – which can rescue sleep in knockdown flies – was employed in these experiments. ***, p&lt;0.001.
DOI: 10.17632/tpt29br8cj.3
title: Reversible effects of glial or neuronal Nkt knockdown on adult locomotor activity

description: Figure . Reversibility of Nkt knockdown on adult locomotor activity. A) Flies have increased activity when temperature is raised from 23°C to 30°C, using the TARGET temperature-sensitive expression system. Flies were reared at 23°C. B) Knockdown flies expressing GAL80ts had high nocturnal activity at 30°C but activity in the normal range when transferred to 23°C. TR, tub-GAL80; repo-GAL4; TR&gt;U-Nkt.IR, tub-GAL80; repo-GAL4&gt;U-Nkt.IR; TS, tub-GAL80; nSyb-GAL4; TS&gt;U-Nkt.IR, tub-GAL80; nSyb-GAL4&gt;U-Nkt.IR; U-Nkt.IR, UAS-Nkt.IR. Error bars represent SEM. **p &lt; 0.01 compared to GAL4 or UAS controls.
DOI: 10.17632/d6jx953yjy.4
title: Astrocyte knockdown of Drosophila Nkt selectively decreases night sleep

description: Figure. Nkt knockdown in fly astrocytes decreases night sleep. A) Expression patterns of two different astrocyte GAL4 drivers: eaat1-GAL4 and GMR86E01-GAL4. Both have been described as astrocyte drivers, although eaat1-GAL4 expresses in some cortex glia and in a small number of optic lobe neurons. Elav-GAL80 (eG80) was included in the background of eaat1-GAL4 flies to inhibit expression of Nkt.IR in neurons. B-C) eaat1-GAL4&gt;Nkt.IR; eG80, GMR86E01-GAL4&gt;Nkt.IR, and control populations. n=16-23 for all genotypes. GMR86E01-GAL4 was recently described by Kremer et al. (2017) as a good reference line for astrocyte expression. OL, optic lobe; Pr, protocerebrum. Size bars in A are 20 um. **, p&lt;0.01 compared to controls.
DOI: 10.21227/06cd-8674
title: PCBs Laser Scans

description: This dataset contains laser scans of PCBs as explained in "Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans". On the left and right image, we have a closer look at one circuit module of a PCB , before and after die attachment. Notice the different types of glue annotated as A, B, C, D and E. On each circuit there are four glue deposits on each type where approximately the same quantity of glue has been placed. As explainedin our paper the top three deposits are used for training and the bottom one for testing. On top, we see a magnified view of glue regions before and after the attachment of dies.
DOI: 10.21227/dyms-r473
title: PCBs Laser Scans

description: This dataset contains laser scans of PCBs as explained in "Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans". On the left and right image, we have a closer look at one circuit module of a PCB , before and after die attachment. Notice the different types of glue annotated as A, B, C, D and E. On each circuit there are four glue deposits on each type where approximately the same quantity of glue has been placed. As explainedin our paper the top three deposits are used for training and the bottom one for testing. On top, we see a magnified view of glue regions before and after the attachment of dies.
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n/chmo0000498
title: high-resolution mass spectrometry (HRMS) (3-methyl-1H-quinoxalin-2-one)
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: dataset for high-resolution mass spectrometry (HRMS) HRMS (C9H8O1N2): calcd 160.0637, found 160.0637.
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (3-methyl-1H-quinoxalin-2-one)
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 418, 453, 469, 476, 561, 584, 599, 691, 725, 751, 779, 853, 888, 928, 945, 1007, 1122, 1156, 1188, 1208, 1276, 1285, 1344, 1380, 1422, 1432, 1485, 1502, 1567, 1601, 1659, 2707, 2769, 2836, 2881, 2958, 3003, 3098 cm–1.
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n.4
title: 3-methyl-1H-quinoxalin-2-one
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: This dataset contains experimental data from a sample (3-methyl-1H-quinoxalin-2-one, InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) high-resolution mass spectrometry (HRMS)
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (3-methyl-1H-quinoxalin-2-one)
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 100 °C): 161 (11) [M+H]+, 160 (94) [M]+, 132 (100), 131 (70).
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (3-methyl-1H-quinoxalin-2-one)
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 2.40 (s, 3H, CH3), 7.23–7.28 (m, 2H, C6H4), 7.44–7.48 (m, 1H, C6H4), 7.67–7.69 (m, 1H, C6H4), 12.29 (s, 1H, NH).
DOI: 10.14272/bmimnrpaepiydn-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (3-methyl-1H-quinoxalin-2-one)
title: InChI=1S/C9H8N2O/c1-6-9(12)11-8-5-3-2-4-7(8)10-6/h2-5H,1H3,(H,11,12)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (400 MHz, DMSO-d6, ppm) δ = 20.5 (1C, CH3), 115.2 (1C, C6H4), 123.0 (1C, C6H4), 127.8 (1C, C6H4), 129.2 (1C, C6H4), 131.6 (1C, C6H4), 131.9 (1C, C6H4), 154.9 (1C,CNCH3/CONH), 159.1 (1C, CNCH3/CONH).
DOI: 10.21227/ew0n-mp13
title: Malware API Call Dataset

description: Our public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers.Cite The DataSet If you find those results useful please cite them :@misc{ mal-api-2019, author = "Catak, FÖ. and Yazi, AF.", title = "A Benchmark API Call Dataset for Windows PE Malware Classification", year = "2019",
DOI: 10.5519/qd.yk9irfd3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (19271 records)
DOI: 10.5281/zenodo.3355523
title: Inferelator Example Data and Scripts

description: This archive contains example data associated with the Inferelator python package. Included is yeast microarray gene expression data initially used in Tchourine et al (2018). Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks (Cell Reports 23, 376–388). Also included is yeast single-cell gene expression data initially used in Jackson & Castro et al (2019). Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments (BioRxiv 581678). Also included is bacillus microarray gene expression data initially used in Arrieta‐Ortiz et al (2015). An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network (Molecular Systems Biology 11, 839). This archive also contains example scripts for basic network inference on all three of these data sets.
DOI: 10.5281/zenodo.3355524
title: Inferelator Example Data and Scripts

description: This archive contains example data associated with the Inferelator python package. Included is yeast microarray gene expression data initially used in Tchourine et al (2018). Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks (Cell Reports 23, 376–388). Also included is yeast single-cell gene expression data initially used in Jackson & Castro et al (2019). Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments (BioRxiv 581678). Also included is bacillus microarray gene expression data initially used in Arrieta‐Ortiz et al (2015). An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network (Molecular Systems Biology 11, 839). This archive also contains example scripts for basic network inference on all three of these data sets.
DOI: 10.7910/dvn/gerijb/vh53sj
title: PresCab_BASIC_Peru.xls

description: :unav
DOI: 10.5281/zenodo.3239242
title: Construction-Planning Models in Minecraft

description: Collection of benchmarks for the Minecraft House Construction scenario. Publication: Construction-Planning Models in Minecraft. Julia Wichlacz, Alvaro Torralba, Joerg Hoffmann, Hierarchical Planning Workshop at ICAPS 2019.
description: {"references": ["Construction-Planning Models in Minecraft.\u00a0Julia Wichlacz,\u00a0Alvaro Torralba, Joerg Hoffmann,\u00a0Hierarchical Planning Workshop at ICAPS 2019"]}
DOI: 10.5281/zenodo.3239243
title: Construction-Planning Models in Minecraft

description: Collection of benchmarks for the Minecraft House Construction scenario. Publication: Construction-Planning Models in Minecraft. Julia Wichlacz, Alvaro Torralba, Joerg Hoffmann, Hierarchical Planning Workshop at ICAPS 2019.
description: {"references": ["Construction-Planning Models in Minecraft.\u00a0Julia Wichlacz,\u00a0Alvaro Torralba, Joerg Hoffmann,\u00a0Hierarchical Planning Workshop at ICAPS 2019"]}
DOI: 10.5281/zenodo.3355535
title: Data - Medial gastrocnemius muscle remodeling correlates with reduced plantar flexor kinetics fourteen weeks following Achilles tendon rupture

description: ultrasound images and biodex data published used in analysis. study timeline: s1 - week 0 s2 - week 2 s3 - week 4 s4 - week 6 s5 - week 10 s6 - week 14
DOI: 10.5281/zenodo.3355536
title: Data - Medial gastrocnemius muscle remodeling correlates with reduced plantar flexor kinetics fourteen weeks following Achilles tendon rupture

description: ultrasound images and biodex data published used in analysis. study timeline: s1 - week 0 s2 - week 2 s3 - week 4 s4 - week 6 s5 - week 10 s6 - week 14
DOI: 10.5519/qd.n48lpbkv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4113 records)
DOI: 10.5281/zenodo.3355537
title: WasteApp data

description: This dataset was produced under URBAN-WASTES's WP5, which collected data to analyse the waste behaviour of the people using WasteApp. It did not collect any personal data but only statistical data. No e-mails, phone numbers or actual names were stored in the database. The users could use this aforementioned information as username, but the actual data stored in the database was a hashed version. Hashing is an injective transformation that cannot be reversed. Hence, if a hashed version of a full name were known, the actual input name could not be obtained. The WasteApp databases comprise the following information: <strong>City data</strong>. Each pilot city must input the following data in the database, regarding container information. Container ID GPS coordinates Type of container <strong>Sponsor data</strong>. The information provided by sponsor companies, processed and stored by cities. Business ID Prize-collecting location GPS coordinates Offered awards <strong>User data</strong>. Users were asked, after the installation of the App, to provide useful information to the project’s analysts. These data are the following: Gender Age range (segments to be defined) Type of visit (business, touristic, permanent or temporary resident) Date of the visit (automatically gathered) Duration of the visit (segments to be defined) Type of host (hotel, private house, collaborative hosting, other...) Nationality (from reduced list – European Union countries, USA, Canada, China, others) Education level (segments to be defined) Profession (segments to be defined) Technology usage level (automatically obtained by inference) Each time a user throws waste into a container; the App must store the following information: Container ID (this ID directly refers to the information stored in the Containers Table, which is location and type of waste) Timestamp Furthermore, the App asked the user to provide the following (if applicable): Container is in its predefined position? Hygienic conditions of the surroundings Is it in good state? Is it accessible? Each time a user sorts waste, an amount of points would be earned. The users could then exchange these points for awards. The sponsors should provide the following information about the offered awards. Name of the award Amount of points Time of prize Sponsor ID Each time a user retrieves a prize, the corresponding points would be extracted and an input in the dataset would be added, including the following information: Prize ID (this ID refers to the information introduced by the sponsor companies) Timestamp User ID