cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3247040
title: Meteorological drought lacunarity around the world and its classification

description: Drought duration strongly depends on the definition thereof. In meteorology, dryness is habitually measured by means of fixed thresholds (e.g. 0.1 or 1 mm usually define dry spells) or climatic mean values (as is the case of the Standardised Precipitation Index), but this also depends on the aggregation time interval considered. However, robust measurements of drought duration are required for analysing the statistical significance of possible changes. Herein we have climatically classified the drought duration around the world according to their similarity to the voids of the Cantor set. Dryness time structure can be concisely measured by the n-index (from the regular/irregular alternation of dry/wet spells), which is closely related to the Gini index and to a Cantor-based exponent. This enables the world’s climates to be classified into six large types based upon a new measure of drought duration. We performed the dry-spell analysis using the full global gridded daily Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset. The MSWEP combines gauge-, satellite-, and reanalysis-based data to provide reliable precipitation estimates. The study period comprises the years 1979-2016 (total of 45165 days), and a spatial resolution of 0.5º, with a total of 259,197 grid points. FILES 1. "drought_class" (geotiff) 2. "legend_drought_class" (csv): legend values for drought classification. 3. "rasterbrick_index_HurstCantorGini" (geotiff): raster with three layers (Hurst, Cantor and Gini Index applied to dry spells). 4. "rasterbrick_nindex_spells" (geotiff): raster with four layers (Dry Spell Spells n-index, maximum expected dry spell<em>Y</em><sub>1 </sub>, mean dry spell and mean wet spell). Projection: "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs" (EPSG.4326)
description: We wish to acknowledge the support received from the Spanish projects CGL2017-83866-C3-2-R and Climatology Group 2017 SGR 1362.
DOI: 10.18430/m36pfn
title: X-ray diffraction data for the succinyl-CoA synthase from Francisella tularensis (6PFN)
DOI: 10.5281/zenodo.3268008
title: Female Urinary Incontinence Classification Code

description: Code used to obtain the results of the paper on urinary incontinence from pelvic floor pressure data.
DOI: 10.5281/zenodo.3268009
title: Female Urinary Incontinence Classification Code

description: Code used to obtain the results of the paper on urinary incontinence from pelvic floor pressure data.
DOI: 10.25345/c5bd3w
title: MassIVE MSV000084057 - A reference map of the human proinsulin biosynthetic interaction network
title: A monoclonal antibody specific for human proinsulin (20G11) was generated and utilized for affinity purification mass spectrometry (AP-MS) for unbiased profiling of proinsulin protein:protein interactions in human islets. Half of each islet prep was treated with the cytokines IL1-beta and IFN-gamma. Immunoprecipitated proinsulin or control IgG immunoprecipitates from human islets were then subjected to state of the art mass spectrometry revealing a rich proinsulin biosynthetic network that is remarkably conserved across a diverse group of donors.
DOI: 10.25405/data.ncl.8429138
title: transient absorption spectroscopy of porphyrins 1-3

description: transient absorption spectroscopy of porphyrins 1-3 in the presence and in the absence of cheno, in solution and absorbed on NiO semiconductor.
DOI: 10.5281/zenodo.3267140
title: FT17 Jacoby Fils 5-key fagottino: measurements, photos, endoscopic video

description: Dataset of FT17 Jacoby Fils 5-key fagottino containing detailed external and internal measurements, photos, and an endoscopic video.
DOI: 10.5281/zenodo.3267145
title: Bazin fitting routine applied to PLAsTiCC transients

description: Bazin fitting routine applied to PLAsTiCC transients.
DOI: 10.5281/zenodo.3267146
title: Bazin fitting routine applied to PLAsTiCC transients

description: Bazin fitting routine applied to PLAsTiCC transients.
DOI: 10.5281/zenodo.3267972
title: anatomical measurement of cervical lateral mass for cervical pedicle screw and paravertebral foramen screw insertion

description: The anatomical pedicle transverse angle (PTA) and linear parameters of the lateral mass were measured, and the relationship between the calculated angles and the anatomical PTA was investigated. θp was defined as the convergence angle from the posterolateral edge of the lateral mass to the pedicle, and θc was defined as the convergence angle from the posterolateral edge of the lateral mass to the anterolateral corner of the vertebral foramen. The thickness of the cortical bone of the medial wall of the lateral mass (cT) and the medial (mT) and lateral (lT) walls of the pedicle at C3–7 were also measured.
DOI: 10.5281/zenodo.3267147
title: Metabolic response of yellow mealworm larvae to two alternative rearing substrates

description: The quantitative one-dimensional <sup>1</sup>H NMR representative spectra of lipid and polar metabolites fractions of Tenebrio molitor larvae fed two alternative dietary substrates described in the manuscript draft entiteld:

<strong>Metabolic response of yellow mealworm larvae to two alternative rearing substrates</strong>
description: This work has been funded by Sardinia Regional Government by means of Sardegna Ricerche (art. 9 L.R. 20/05)
DOI: 10.18430/m36cng
title: X-ray diffraction data for the the X-ray crystal structure of the Streptococcus pneumoniae Fatty Acid Kinase (Fak) B3 protein loaded with linoleic acid to 1.47 Angstrom resolution (6CNG)
DOI: 10.25387/g3.8325992
title: Supplemental Material for Hoffert and Strome, 2019

description: Table S1. Table of complete MAT locus LOH screen data. <br>Table S2. Top hits identified in MAT locus LOH screen. <br>Table S3. Sector counts of the 217 SCDChet gene deletions analyzed in secondary <i>MET15</i> screen. <br>Table S4. GO Slim Mapper results for the 217 identified genes in the MAT locus screen. <br>Table S5. GO Slim Mapper results for the 100 identified genes in the <i>MET15</i> secondary screen. <br>Table S6. GO Slim Mapper and GO Term Finder results for the 91 genes identified in two or more related independent studies. <br>Table S7. Positional Gene Enrichment analysis of the 217 MAT Top Hits, 100 MAT + MET15 Top hits, and 91 genes identified in 2+ independent studies. <br>Table S8. Human homologs and their associated cancer types for genes identified by the MAT locus screen. <br>Table S9. Human homologs and their associated cancer types for genes identified by multiple independent studies. <br>Table S10. Positional Gene Enrichment analysis of genes identified by similar independent studies. <br>Figure S1. Visual representation of Positional Gene Enrichment data for enriched region on chromosome II.
DOI: 10.25387/g3.8325992.v1
title: Supplemental Material for Hoffert and Strome, 2019

description: Table S1. Table of complete MAT locus LOH screen data. <br>Table S2. Top hits identified in MAT locus LOH screen. <br>Table S3. Sector counts of the 217 SCDChet gene deletions analyzed in secondary <i>MET15</i> screen. <br>Table S4. GO Slim Mapper results for the 217 identified genes in the MAT locus screen. <br>Table S5. GO Slim Mapper results for the 100 identified genes in the <i>MET15</i> secondary screen. <br>Table S6. GO Slim Mapper and GO Term Finder results for the 91 genes identified in two or more related independent studies. <br>Table S7. Positional Gene Enrichment analysis of the 217 MAT Top Hits, 100 MAT + MET15 Top hits, and 91 genes identified in 2+ independent studies. <br>Table S8. Human homologs and their associated cancer types for genes identified by the MAT locus screen. <br>Table S9. Human homologs and their associated cancer types for genes identified by multiple independent studies. <br>Table S10. Positional Gene Enrichment analysis of genes identified by similar independent studies. <br>Figure S1. Visual representation of Positional Gene Enrichment data for enriched region on chromosome II.
DOI: 10.17632/dzw8k9vj6k.1
title: Data for: Ancient roaches further exemplify 'no land return' in aquatic insects

description: Dataset with first and last occurences of aquatic insect families based on dataset of Nicholson et al., 2015. Aquatic stages of each family are mentioned in the first column. Additional data obtained from Sinitshenkova, 2002; Lancaster and Downes, 2013; Rasnitsyn and Strelnikova, 2018.
DOI: 10.17632/h466f963vx.1
title: Data for: Neoproterozoic hydrothermal activity in the West Australian Craton related to Rodinia assembly or breakup?

description: Supplementary dataset to Olierook et al., 2018, Gondwana Research, Rutile Capricorn Orogen
DOI: 10.5281/zenodo.3267128
title: ImageInLife20170922IP01_Sipka_Macrophage Recruitment to the Wound

description: A tail of 3dpf transgenic zebrafish larvae (<em>tg(mpeg1:Gal4/UAS:Kaede</em>)) was imaged from 1h to 6h after the tail fin amputation by ANDOR CSU-W1 confocal spinning disk on an inverted NIKON microscope (Ti Eclipse) with ANDOR Neo sCMOS camera (20x air/NA 0.75 objective, mosaic imaging 6x1 with 10% overlap between windows).  Laser excitation/emission wavelength:  488/521 nm. Time step is 4min (75 repeats). Z-stack is 132μm with  4μm step (33 steps). Maximum projection is shown as well. Pixel size is 0.326μm.

Macrophages expressing green fluorescent protein Kaede in the cytoplasm are moving toward the wound made at the tail fin.
DOI: 10.5281/zenodo.3267127
title: ImageInLife20170922IP01_Sipka_Macrophage Recruitment to the Wound

description: A tail of 3dpf transgenic zebrafish larvae (<em>tg(mpeg1:Gal4/UAS:Kaede</em>)) was imaged from 1h to 6h after the tail fin amputation by ANDOR CSU-W1 confocal spinning disk on an inverted NIKON microscope (Ti Eclipse) with ANDOR Neo sCMOS camera (20x air/NA 0.75 objective, mosaic imaging 6x1 with 10% overlap between windows).  Laser excitation/emission wavelength:  488/521 nm. Time step is 4min (75 repeats). Z-stack is 132μm with  4μm step (33 steps). Maximum projection is shown as well. Pixel size is 0.326μm.

Macrophages expressing green fluorescent protein Kaede in the cytoplasm are moving toward the wound made at the tail fin.
DOI: 10.5281/zenodo.3267160
title: FT23 Rottenburgh 4-key fagottino: basic information and photos

description: Dataset of FT23 Rottenburgh 4-key fagottino containing containing detailed external and internal measurements, photos.
DOI: 10.5281/zenodo.3268395
title: lexibank/diacl: Diachronic Atlas of Comparative Linguistics

description: Cite the source dataset as


Carling, Gerd (ed.) 2017. Diachronic Atlas of Comparative Linguistics Online. Lund: Lund University. (DOI/URL: https://diacl.ht.lu.se/. ). Accessed on: 2019-02-07.
DOI: 10.5281/zenodo.3267175
title: UBE2K Purification

description: As a result of a BioID experiment done to identify possible interaction partners of Huntingtin, UBE2K was flagged. This purification aims to provide a UBE2K sample for future experiments to confirm the possible interaction between these proteins.
description: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.3267176
title: UBE2K Purification

description: As a result of a BioID experiment done to identify possible interaction partners of Huntingtin, UBE2K was flagged. This purification aims to provide a UBE2K sample for future experiments to confirm the possible interaction between these proteins.
description: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.25919/5d1cb17e67cc9
title: Parkes observations for project P1011 semester 2019APRS_15

description: Pulsars with features in their radio spectra, such as curvature or breaks seem to be special cases among the known pulsar population, with only about 20 per cent exhibiting them. Unfortunately, reliable flux density measurements besides at 1.4 GHz are often unavailable, so that their spectral morphologies and features cannot be determined accurately. We propose to utilize the unique capabilities of the newly commissioned UWL receiver at the Parkes telescope, its extremely wide instantaneous frequency coverage from about 700 to 4000 MHz together with its high sensitivity, to determine the spectra of 26 radio pulsars. These have previously been identified to exhibit spectral features or show hints thereof. The new Parkes data are crucial to determine their spectral morphologies in that frequency range, to characterize their spectral features and to resolve these within the recorded bandwidth. Our aim is to understand the physical origin of the features, namely, whether these are perhaps intrinsic to the pulsar emission in these sources, are caused by absorption processes inside the pulsar's magnetosphere, or along the line of sight.
DOI: 10.25919/5d1cb23d46e5e
title: Parkes observations for project P456 semester 2019APRS_37

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.14469/hpc/5927
title: Bromoallene, Def2-SVPD 2AgOAc complex C-Br cleavage, TS acetic acid solvent (R ) Product after C-O formation G=-3633.238928

description: Gaussian Calculation
DOI: 10.5281/zenodo.3267181
title: Data of European University Association (EUA) Open Access Survey 2017-2018

description: This database refers to the data collected by the European University Association (EUA) for its Open Access Survey 2017-2018, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at https://eua.eu/resources/publications/826:2017-2018-eua-open-access-survey-results.html.

The data included in this database refers only to those universities and higher education institutions that accepted their data to be available in open access (n=266). All information that could lead to the identification of individual universities and higher education institutions was removed from the database. The following files are available:


	Questionnaire
	Database in the following formats: .sav (IBM SPSS Statistics), .xlsx (Microsoft Excel) and .csv
	Codebook: includes information on all the variables and their coding.
description: {"references": ["Rita Morais, Lidia Borrell-Dami\u00e1n (2018): 2017-2018 EUA Open Access Survey Results. https://eua.eu/resources/publications/826:2017-2018-eua-open-access-survey-results.html"]}
DOI: 10.5281/zenodo.3267182
title: Data of European University Association (EUA) Open Access Survey 2017-2018

description: This database refers to the data collected by the European University Association (EUA) for its Open Access Survey 2017-2018, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at https://eua.eu/resources/publications/826:2017-2018-eua-open-access-survey-results.html.

The data included in this database refers only to those universities and higher education institutions that accepted their data to be available in open access (n=266). All information that could lead to the identification of individual universities and higher education institutions was removed from the database. The following files are available:


	Questionnaire
	Database in the following formats: .sav (IBM SPSS Statistics), .xlsx (Microsoft Excel) and .csv
	Codebook: includes information on all the variables and their coding.
description: {"references": ["Rita Morais, Lidia Borrell-Dami\u00e1n (2018): 2017-2018 EUA Open Access Survey Results. https://eua.eu/resources/publications/826:2017-2018-eua-open-access-survey-results.html"]}
DOI: 10.5281/zenodo.3268233
title: Dataset for Understanding and Improving Regression Test Selection in Continuous Integration

description: This is the dataset for the paper "Understanding and Improving Regression Test Selection in Continuous Integration". The dataset consists of the logs collected from running RTS tools on Travis CI along with a CSV summary of those results.
DOI: 10.5281/zenodo.3268234
title: Dataset for Understanding and Improving Regression Test Selection in Continuous Integration

description: This is the dataset for the paper "Understanding and Improving Regression Test Selection in Continuous Integration". The dataset consists of the logs collected from running RTS tools on Travis CI along with a CSV summary of those results.
DOI: 10.17632/nxhzp2992s.1
title: Data for: Parturition detection in sows as test case for measuring activity behaviour in farm animals by means of radar sensors.

description: The data set contains raw activity data of individually housed sows in their late gestation and early lactation phase. The data is organised as trial runs and pens as it was recorded by stationary radar sensors. Metadata is available from Sauen.csv. The data is accompanied by an R-Script which produces the diagrams used for Figure 3 and 4 of the manuscript "Parturition detection in sows as test case for measuring activity behaviour in farm animals by means of radar sensors."
DOI: 10.5519/qd.mrf13j80
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (739235 records)
DOI: 10.21227/c6vr-e556
title: GSET Somi: A Game-Specific Eye Tracking Dataset for Somi

description: This is an eye tracking dataset of 84 computer game players who played the side-scrolling cloud game Somi. The game was streamed in the form of video from the cloud to the player. The dataset consists of 135 raw videos (YUV) at 720p with eye tracking data for both eyes (left and right). Male and female candidates were asked to play the game in front of a remote eye-tracking device. For each player, we recorded gaze points, video frames of the gameplay, and mouse and keyboard commands. For each video frame, a list of its game objects with their locations and sizes was also recorded. This data, synchronized with eye-tracking data, allows one to calculate the amount of attention that each object or group of objects draw from each player. This dataset can be used for designing and testing game-specific visual attention models.
DOI: 10.25387/g3.8479022
title: Supplemental Data for Wright et al, 2019

description: Supplemental Figures and Tables, with their Legends, are provided as a single PDF document: Supplemental Tables & Figures.  In addition, Supplemental Tables 8 and 9 are provided as Excel documents and contain SNP-by-SNP summary statistics from each presented GWAS for representative SNPs with genomic control adjusted p-values less than 3.0x10-3 in the AncestryDNA cohorts (Supplemental Table 8) or 2.5x10-3 in the AncestryDNA-UKB meta analyses (Supplemental Table 9).<br>
DOI: 10.25387/g3.8479022.v1
title: Supplemental Data for Wright et al, 2019

description: Supplemental Figures and Tables, with their Legends, are provided as a single PDF document: Supplemental Tables & Figures.  In addition, Supplemental Tables 8 and 9 are provided as Excel documents and contain SNP-by-SNP summary statistics from each presented GWAS for representative SNPs with genomic control adjusted p-values less than 3.0x10-3 in the AncestryDNA cohorts (Supplemental Table 8) or 2.5x10-3 in the AncestryDNA-UKB meta analyses (Supplemental Table 9).<br>
DOI: 10.5281/zenodo.3258830
title: Data for "Convergent temperature representations in artificial and biological neural networks"

description: Data for "Convergent Temperature Representations in Artificial and Biological<br> neural networks" by Haesemeyer M, Schier AF and Engert F, 2019 The corresponding python code is available at:<br> https://github.com/haesemeyer/GradientPrediction All zip files should be extracted in the same folder as the python files. This<br> will create a sub-folder structure for the model data.<br> ZIP File Contents (Note: These are used by the code and not necessarily useful<br> by themselves):<br> model_data.zip<br> Contains tensorflow checkpoints on all naive and fully trained models, test<br> errors during training as well as evolution weights where applicable.<br> model_cluster_assignments.zip<br> For the trained models in model_data.zip the response cluster assignment<br> for each individual unit.<br> zebrafish_data.zip<br> The zebrafish brain and behavior data used in the paper comparisons. This<br> archive also contains the temperature stimulus file stimFile.hdf5<br> training_data.zip<br> The generated training data used during predictive network training<br> test_data.zip<br> The generated test data used to evaluate predictive network training
description: Research was funded through NIH 1U19NS104653, 5R24NS086601 and 1DP1HD094764 as well as a Simons Collaboration on the Global Brain Research Award (542973)