cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8228797
title: GERDAT021-Dataset for "Development and testing of the Outcome Prioritization Tool adjusted to older patients with cancer: A pilot study"

description: This dataset shows the data underlying the publication "Development and testing of the Outcome Prioritization Tool adjusted to older patients with cancer: A pilot study published in JGO on 21 July 2023, which can be found at 10.1016/j.jgo.2023.101590."
DOI: 10.5281/zenodo.8228798
title: GERDAT021-Dataset for "Development and testing of the Outcome Prioritization Tool adjusted to older patients with cancer: A pilot study"

description: This dataset shows the data underlying the publication "Development and testing of the Outcome Prioritization Tool adjusted to older patients with cancer: A pilot study published in JGO on 21 July 2023, which can be found at 10.1016/j.jgo.2023.101590."
DOI: 10.5281/zenodo.8178942
title: GERDAT020-Dataset for- Challenges of caring for older patients with multimorbidity including cancer

description: This dataset shows the data underlying the publication Challenges of caring for older patients with multimorbidity including cancer, published in JGO on 14 July 2023, which can be found at https://doi.org/10.1016/j.jgo.2023.101588
DOI: 10.5281/zenodo.8178943
title: GERDAT020-Dataset for- Challenges of caring for older patients with multimorbidity including cancer

description: This dataset shows the data underlying the publication Challenges of caring for older patients with multimorbidity including cancer, published in JGO on 14 July 2023, which can be found at https://doi.org/10.1016/j.jgo.2023.101588
DOI: 10.48758/ufz.13601
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY060-DOY090, 2023

description: Eddy covariance-Rawdata 2023 Hordorf DoY060 - DoY090 (March 2023), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2023_Eddy-Data_DOY060-DOY090.zip
more files available in the same repository
DOI: 10.48758/ufz.13514
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY032-DOY059

description: Eddy covariance-Rawdata 2023 Hordorf DoY032 - DoY059 (February 2023), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2023_Eddy-Data_DOY032-DOY059.zip

more files available in the same repository
DOI: 10.34740/kaggle/dsv/6377042
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6377047
title: Health Workforce Shortage Areas
DOI: 10.6084/m9.figshare.22705612
title: Data S1.xls, Data S2.xls, Data S3.xls of Zhao et al., 2023

description: Raw data of zircon U-Pb, apatite fission-track, and trace element used in<em> "Early Cenozoic drainage evolution and surface uplift of the eastern Tibetan Plateau: Detrital zircon U-Pb insights from the Ninglang Basin".</em>
DOI: 10.6084/m9.figshare.24041850
title: Osmotic stress tolerance in seed germination by bacterial extracts raw data

description: Enhancement of osmotic stress tolerance in soybean seed germination by bacterial bioactive extracts research paper raw data.
DOI: 10.6084/m9.figshare.24041850.v1
title: Osmotic stress tolerance in seed germination by bacterial extracts raw data

description: Enhancement of osmotic stress tolerance in soybean seed germination by bacterial bioactive extracts research paper raw data.
DOI: 10.48758/ufz.13422
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY001-DOY031, 2023

description: Eddy covariance-Rawdata 2023 Hordorf DOY001-DOY031 (January 2023), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2023_Eddy-Data_DOY001-DOY031.zip
more files available in the same repository
DOI: 10.6084/m9.figshare.23284748
title: Supporting information for BE1 experiment.

description: ccle.xlsx: Cancer Cell Line Encyclopedia (CCLE) derived information for 6 of the 7 cell lines used in BE1 experiment. The following files were retrieved from CCLE (ccle folder): Cell_lines_annotations_20181226.txt, CCLE_Fusions_20181130.txt, CCLE_metabolomics_20190502.csv, OmicsExpressionProteinCodingGenesTPMLogp1.csv, OmicsSomaticMutations.csv. Using the command.R script, in ccle folder, we extract only the information referring to the following cell lines: PC9, A549, NCI-H596,NCI-H1395, DV90, HCC78.Excel sheets:celllines: cell lines annotationfusions: detected fusion genesmetabolomic: dataset of 225 metabolite levels, profiled using liquid chromatography–mass spectrometry (LC-MS)log2TPM: gene expression, TPM values of the protein coding genes. Values are inferred from RNA-seq data using the RSEM tool and are reported after log2 transformation, using a pseudo-count of 1; log2(TPM+1)).somatic: all the somatic point mutations and indels called using Mutect2.drivers_genes_relations.xlsx: IPA/TRRUST2 derived Information referring to tumor driver genes (EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1) expressed in the seven cell lines used in this experiment. The analysis was performed on IPA on June 2nd 2023 (this dataset folder ipa) and on TRRUST2 database (https://www.grnpedia.org/trrust/). For each driver gene (EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1) were detected the directly connected genes (upstream and downstream) using grow function in IPA. The genes information and the connections were retrieved.Excel sheets:<b>all</b> type of connection detected<b>drivers-connections</b> all types of connection depicted in IPA for EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1<b>activity</b> only functional connections, e.g. expression, activation. (IPA and TRRUST2)<b>activity 1st layer (v 2.0</b> only functional connections, e.g. expression, activation. (IPA and TRRUST2))<b>activity 2nd layer (v 2.0</b> only functional connections of the downstream genes from the 1st layer (e.g. 1st layer: ALK -&gt; MAPK3; 2nd layer MAPK3 -&gt; CDK4))<b>membership</b> expansion of the subset of IPA ids including multiple genes<b>modification</b> protein modification, e.g. phosphorylation<b>prot-prot</b> protein protein interaction<b>prot-DNA</b> protein-DNA interaction<b>XXX connected genes</b> description of the genes involved in the connections<br>
DOI: 10.6084/m9.figshare.23284748.v1
title: Supporting information for BE1 experiment.

description: ccle.xlsx: Cancer Cell Line Encyclopedia (CCLE) derived information for 6 of the 7 cell lines used in BE1 experiment. The following files were retrieved from CCLE (ccle folder): Cell_lines_annotations_20181226.txt, CCLE_Fusions_20181130.txt, CCLE_metabolomics_20190502.csv, OmicsExpressionProteinCodingGenesTPMLogp1.csv, OmicsSomaticMutations.csv. Using the command.R script, in ccle folder, we extract only the information referring to the following cell lines: PC9, A549, NCI-H596,NCI-H1395, DV90, HCC78.Excel sheets:celllines: cell lines annotationfusions: detected fusion genesmetabolomic: dataset of 225 metabolite levels, profiled using liquid chromatography–mass spectrometry (LC-MS)log2TPM: gene expression, TPM values of the protein coding genes. Values are inferred from RNA-seq data using the RSEM tool and are reported after log2 transformation, using a pseudo-count of 1; log2(TPM+1)).somatic: all the somatic point mutations and indels called using Mutect2.drivers_genes_relations.xlsx: IPA/TRRUST2 derived Information referring to tumor driver genes (EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1) expressed in the seven cell lines used in this experiment. The analysis was performed on IPA on June 2nd 2023 (this dataset folder ipa) and on TRRUST2 database (https://www.grnpedia.org/trrust/). For each driver gene (EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1) were detected the directly connected genes (upstream and downstream) using grow function in IPA. The genes information and the connections were retrieved.Excel sheets:<b>all</b> type of connection detected<b>drivers-connections</b> all types of connection depicted in IPA for EGFR, MET, KRAS, BRAF, ERBB2, ALK, ROS1<b>activity</b> only functional connections, e.g. expression, activation. (IPA and TRRUST2)<b>activity 1st layer (v 2.0</b> only functional connections, e.g. expression, activation. (IPA and TRRUST2))<b>activity 2nd layer (v 2.0</b> only functional connections of the downstream genes from the 1st layer (e.g. 1st layer: ALK -&gt; MAPK3; 2nd layer MAPK3 -&gt; CDK4))<b>membership</b> expansion of the subset of IPA ids including multiple genes<b>modification</b> protein modification, e.g. phosphorylation<b>prot-prot</b> protein protein interaction<b>prot-DNA</b> protein-DNA interaction<b>XXX connected genes</b> description of the genes involved in the connections<br>
DOI: 10.6084/m9.figshare.24041898
title: Data for Manuscript Yan et al. "Organic matter drives the depth-dependent distribution of prokaryotes in lake sediments"

description: 16S OTU table and representative DNA sequences for each OTU
DOI: 10.6084/m9.figshare.24041898.v1
title: Data for Manuscript Yan et al. "Organic matter drives the depth-dependent distribution of prokaryotes in lake sediments"

description: 16S OTU table and representative DNA sequences for each OTU
DOI: 10.17632/t4bw42htp2.1
title: Essential oil bioassay of three Artemisia species

description: Essential oils (EO) have been consistently reported as molecules with insecticidal activity and can be used to produce more environmentally friendly larvicides in the control of A. aegypti. In this study, the larvicidal effect of essential oils (EO) from the leaves of three Artemisia species was evaluated against A. aegypti. The oils were obtained from steam distillation and their chemical composition was determined by gas chromatography-mass spectrometry. The EO of Artemisia camphorata was the most active in the screening bioassay and presented LC50 and LC95 of 64.95 and 74.18 µg mL-1, respectively. In addition, we found that germacrene D-4-ol was the constituent responsible for the toxicity of this EO. A. camphorata EO and its major constituent, germacrene D-4-ol, are promising for the development of natural larvicides against A. aegypti.
Concentration-mortality data were submitted to Probit analysis (PROC PROBIT, SAS 9.2, http://support.sas.com/rnd/app/stat/9.2/stat92resources.html) to estimate the LC50 and LC95 (lethal concentration for 50% and 95% of the larvae, respectively).
DOI: 10.5281/zenodo.8288814
title: Job Shop Instances with Varying Job and Operation Entropy

description: This dataset contains multiple sets of job shop problem instances with varying characteristics. Instances have been generated for various target inter-instance job entropies, intra-instance job entropies, inter-instance operation entropies, and intra-instance operation entropies. For reference, the dataset also contains randomly generated job shop instances. More information about the data generation and the used terminology can be found in the accompanying data publication. Each problem instance contains the following information in json-format: id: a unique id for each generated problem instance opt_time: the optimal makespan for the problem instance determined by Google ORTools intra_instance_operation_entropy: the intra-instance operation entropy of the instance num_ops_per_job: the number of operations of each job max_op_time: the maximum processing time of all operations machine_types: the type of machine required for each operation in each job durations: the processing time of each operation in each job
DOI: 10.5441/002/edbt.2020.27
title: Ontology-Based RDF Integration of Heterogeneous Data
DOI: 10.5441/002/edbt.2021.91
title: Big Sequence Management: Scaling up and Out
DOI: 10.5281/zenodo.8288813
title: Job Shop Instances with Varying Job and Operation Entropy

description: This dataset contains multiple sets of job shop problem instances with varying characteristics. Instances have been generated for various target inter-instance job entropies, intra-instance job entropies, inter-instance operation entropies, and intra-instance operation entropies. For reference, the dataset also contains randomly generated job shop instances. More information about the data generation and the used terminology can be found in the accompanying data publication. Each problem instance contains the following information in json-format: id: a unique id for each generated problem instance opt_time: the optimal makespan for the problem instance determined by Google ORTools intra_instance_operation_entropy: the intra-instance operation entropy of the instance num_ops_per_job: the number of operations of each job max_op_time: the maximum processing time of all operations machine_types: the type of machine required for each operation in each job durations: the processing time of each operation in each job
DOI: 10.17632/3cz2dj3hzz.2
title: Complementary Prism Networks

description: Let G be a graph and Gc the complement graph of G. The complementary prism of G, denoted by GGc, is the network obtained from the disjoint union of G and Gc by adding edges between the corresponding vertices of G and Gc.
DOI: 10.18462/iir.nh3-co2.2017.0014
title: Energy consumption for salmon slaughtering processes.

description: Today’s slaughtering and processing method for Atlantic salmon (Salmo salar) using large refrigerated seawater (RSW) and buffer tanks before and during a stepwise processing regime has now reached its limits. To overcome this problem, the salmon industry must, like the poultry industry, move towards automated online production, where the animal is quickly processed so all the energy (cooling and transport) can be focused on the meat only and not the surrounding water/ice and carcass. It is of importance to quantify the total energy consumption related to chilling and transport of Atlantic salmon. This enables to foresee and compare the energy requirements, costs and environmental impacts related to existing and new chilling technologies. A modern large slaughter facility in Norway that slaughter up to 125 000 tonnes of Atlantic salmon per year uses RSW tanks for fish cooling with a typical volume of 200-280 m3. This results in a significant amount of energy consumption for refrigeration. The objective of this paper was to describe the current situation at three different salmon slaughterhouses. The energy consumption were estimated and compared. In 2015, the specific energy consumption for these facilities were 105.7, 103.1 and 85.1 kWh/tonne, respectively. The refrigeration systems use ammonia as refrigerant, which is common in food processing industry in Norway.
DOI: 10.5063/f1c827qp
title: Comparison of enemy damage and occurrence in introduced (Hawaii) and native red mangroves (Panama, Belize, Florida, USA)

description: When introduced to a new region, non-native species are thought to experience an ecological release from the enemies that control them (e.g., herbivores, parasites, pathogens). This release from enemies may explain why some non-native species thrive and spread in invaded habitats (Enemy Release Hypothesis). In this study, we used the invasion of red mangroves (Rhizophora mangle) in Hawaii as a model system to test the Enemy Release Hypothesis.We conducted replicated surveys and field experiments to compare marine and terrestrial enemy damage and occurrence in 8-10 sites in Hawaii (Oahu, Molokai, Hawaii Island, Kauai) where red mangroves are invasive to 8-10 sites where mangroves are native (Panama, Belize, Florida). In each site, we measured the occurrence of enemies using timed visual surveys, damage to mangrove structures (leaves, buds, dead twigs, aerial roots, propagules), and the rate of propagule herbivory using a propagule tethering experiment.The resulting datasets attached here provide information on these surveys, percentage of damage observed on different mangrove structures, and the results from a propagule tethering study (2014-2015).For additional information please see: Davidson, T.M., C.M. Smith, and M.E. Torchin. (Accepted) Introduced mangroves escape damage from marine and terrestrial enemies. Ecology.
DOI: 10.5281/zenodo.201147
title: Morphology Captures Diet And Locomotor Types In Rodents

description: R Code and supporting data for Verde Arregoitia et al. Royal Society Open Science
DOI: 10.5281/zenodo.8106655
title: High-time-resolution chemical composition and source apportionment of PM2.5 in northern Chinese cities: implications for policy

description: Three real-time measurement campaigns were conducted in Xi’an, Shijiazhuang, and Beijing to investigate the chemical characteristics and source contributions of PM<sub>2.5</sub> and explore the formation progress of heavy pollution for policy implications. Chemeical components of PM<sub>2.5</sub> including OA, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup>, NH<sub>4</sub><sup>+</sup>, Cl-, BC, and elements were monitored by Q-ACSM, AE33, and Xact, respectively. The results show that chemical compositions of PM<sub>2.5 </sub>in the three cities are all dominated by organic aerosol (OA) and nitrate (NO<sub>3</sub><sup>-</sup>). And results of source apportionment analyzed by the hybrid environmental receptor model (HERM) show that the secondary nitrate plus sulfate contributed higher to PM<sub>2.5</sub> compared to other primary sources. Morevoer, the potential formation mechanisms of secondary aerosol in three cities were further explored by establishing the correlations between secondary nitrate plus sulfate and aerosol liquid water content (ALWC), and O<em><sub>x</sub></em> (O<sub>3</sub> + NO<sub>2</sub>). The results show that photochemical oxidation and aqueous-phase reaction were two important pathways of secondary aerosol fromation. Additionally, this study compared the changes in chemical composition and source contributions of PM<sub>2.5</sub> in past decades, and suggested that not only the activities of clean energy replacements for the rural household is urgently enhanced to reduce the primary source emissions in northern China, but also collaborative control ozone and particulate matter need to be contiouslty promoted to weaken the atmosphere oxidation capacity for reducing secondary aerosol formation.
DOI: 10.5285/00fe090efc58446e8980992a617f632f
title: ESA Antarctic Ice Sheet Climate Change Initiative (Antarctic_Ice_Sheet_cci): Antarctic Ice Sheet monthly velocity from 2017 to 2020, derived from Sentinel-1, v1

description: This dataset contains monthly gridded ice velocity maps of the Antarctic Ice Sheet derived from Sentin el-1 data acquired between 2017-01-01 and 2020-08-31. It was generated by ENVEO, as part of the ESA Antarctic Ice Sheet Climate Change Initiative project (Antarctic_Ice_Sheet_cci). The surface velocity is derived by applying feature tracking techniques using Sentinel-1 synthetic aperture radar (SAR) data acquired in the Interferometric Wide (IW) swath mode. Ice velocity is provided at 200m grid spacing in Polar Stereographic projection (EPSG: 3031). The horizontal velocity components are provided in true meters per day, towards easting and northing direction of the grid. The vertical displacement is derived from a digital elevation model. Provided is a NetCDF file with the velocity components: vx, vy, vz, along with maps showing the magnitude of the horizontal components, the valid pixel count and uncertainty. The product combines all ice velocity maps, based on 6- and 12-day repeats, acquired within a single month in a monthly averaged product.
DOI: 10.5441/002/edbt.2018.54
title: Efficient SIMD Vectorization for Hashing in OpenCL
DOI: 10.6084/m9.figshare.1029169
title: Web Table 4. Free energy activation barriers for the formation of iodotriazoles via Mono- and bis Cu-catalysed cycloaddition pathways

description: Two complementary catalytic systems are reported for the 1,3-dipolar cycloaddition of azides and iodoalkynes. These are based on two commercially available/readily available copper complexes, [CuCl(IPr)] or [CuI(PPh3)3], which are active at low metal loadings (PPh3 system) or in the absence of any other additive (IPr system). These systems were used for the first reported mechanistic studies on this particular reaction. An experimental/computational-DFT approach allowed to establish that 1) some iodoalkynes might be prone to dehalogenation under copper catalysis conditions and, more importantly, 2) that two distinct mechanistic pathways are likely to be competitive with these catalysts: either through a copper(III) metallacycle or via direct p-activation of the starting iodoalkyne.
DOI: 10.6084/m9.figshare.11413038
title: Particle motions over plane-bed and bedform topography

description: Dataset and code related to the manuscript titled "Probability distributions of particle hop distance and travel time over equilibrium mobile bedforms" (Ashley et al., in revision)
DOI: 10.7799/1644189
title: 2020 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

description: Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This updated version of the workbook provides data for the 2020 ATB. In 2019 and 2020, NREL has also provided selected data in Tableau workbooks and structured summary csv files. A website documents this data at https://atb.nrel.gov.
DOI: 10.21227/4kx5-wc43
title: LUS: Mizo Monolingual Corpus

description: Mizo or Lushai language is the official language of Mizoram, a state in the north-eastern part of India. It is an under-resourced language that falls under the Tibeto-Burman language family and is highly tonal in nature. LUS dataset comprises monolingual corpus crawled from different Mizo news websites such as Zalen (https://zalen.in/) and Times of Mizoram (https://www.timesofmizoram.com/). The dataset consists of a total of 101827 Mizo language sentences for research and academic purposes.
DOI: 10.26179/zz6j-e834
title: RSV Nuyina Voyage 2 2021-22 Voyage Data, Southern Ocean, Antarctica
DOI: 10.6084/m9.figshare.14442761.v1
title: Castillo et al Journal of Ecology Data Set

description: Data for article published in Journal of Ecology<br>
DOI: 10.3886/icpsr22684
title: Forecasting Inflation and Output: Comparing Data-Rich Models with Simple Rules
title: Archival Version

description: There has been a resurgence of interest in dynamic factor models for use by policy advisors. Dynamic factor methods can be used to incorporate a wide range of economic information when forecasting or measuring economic shocks. This article introduces dynamic factor models that underlie the data-rich methods and also tests whether the data-rich models can help a benchmark autoregressive model forecast alternative measures of inflation and real economic activity at horizons of 3, 12, and 24 months ahead. The authors find that, over the past decade, the data-rich models significantly improve the forecasts for a variety of real output and inflation indicators. For all the series that they examine, the authors find that the data-rich models become more useful when forecasting over longer horizons. The exception is the unemployment rate, where the principal components provide significant forecasting information at all horizons.
description: Datasets: 
 
 DS1: Dataset
description: (1) A zipped package contains program files and a Microsoft Excel file, which contains data, tables, and corresponding figures. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.
DOI: 10.5066/f7jq0z5n
title: Principal facts of gravity data in the southern San Luis Basin, northern New Mexico

description: Gravity data were collected from 2006 through 2015 to assist in mapping subsurface geology in the southern San Luis Basin, northern New Mexico. This report gives principal facts for 567 new gravity stations that were acquired to fill in gaps in the public gravity data coverage.