cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/20b53aae-607a-48a7-b0ca-304de8dc0c86
title: Data for: "Pressure-induced polymorphism of caprolactam: a neutron diffraction study"

description: Data contained herein for characterization of the two new phases of caprolactam including single-crystal X-ray and neutron-powder diffraction.  The single crystal diffraction images are in their native format (.sfrm, Bruker format).  Neutron diffraction data files in readily accessible .DAT format that can be viewed using a text editor application. We have used TOPAS academic for refinement but GSAS or any other powder diffraction software should cope with the data. The refined peak shape parameters from Cerium oxide and Silicon have been used and their data is present in the dataset also.
DOI: 10.25345/c52k9d
title: MassIVE MSV000083882 - Data files for Various HMGB1 proteases
title: Raw data files of Glu-C+Arg-C and AspN for the sequence coverage of HMGB1.
DOI: 10.7910/dvn/fcdzbn/cyvn7o
title: network_sitc2_4digit.json
DOI: 10.7910/dvn/fcdzbn/ghseuc
title: hs92_proximities.tab
DOI: 10.7910/dvn/fcdzbn/k84cq7
title: sitc2_proximities.tab

description: :unav
DOI: 10.7910/dvn/fcdzbn/qseetd
title: network_hs92_4digit.json
DOI: 10.15468/9msrt5
title: Lestes tikalus, N. Sp. and other Odonata from Guatemala

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kormondy, E. J. (1959): Lestes tikalus, N. Sp. and other Odonata from Guatemala. The Ohio Journal of Science 59: 305-312, DOI: 10.5281/zenodo.3237708
DOI: 10.5281/zenodo.3237780
title: Database for Research Projects to Solve the Inverse Heat Conduction Problem

description: To achieve the optimal performance of an object to be heat treated, it is necessary to know the exact value of the Heat Transfer Coefficient (HTC) describing the amount of heat exchange between the work piece and the cooling medium. The prediction of the HTC is a typical Inverse Heat Transfer Problem (IHCP), which cannot be solved by direct numerical methods. There are numerous techniques used to solve the IHCP based on heuristic search algorithms having very high computational demand. As another approach, it would be possible to use machine-learning methods for the same purpose, which are capable of giving prompt estimations about the main characteristics of the HTC function. As known, a key requirement for all successful machine-learning projects is the availability of high quality training data. In this case, the amount of real-world measurements is far from satisfactory because of the high cost of these tests. As an alternative, it is possible to generate the necessary databases using simulations. This paper presents a novel model for random HTC function generation based on control points and advanced smoothing techniques. As an additional step, a GPU accelerated finite-element method was used to simulate the cooling process resulting in the required temporary data records. These datasets make it possible for researchers to develop and test their IHCP solver algorithms.
DOI: 10.5281/zenodo.3237781
title: Database for Research Projects to Solve the Inverse Heat Conduction Problem

description: To achieve the optimal performance of an object to be heat treated, it is necessary to know the exact value of the Heat Transfer Coefficient (HTC) describing the amount of heat exchange between the work piece and the cooling medium. The prediction of the HTC is a typical Inverse Heat Transfer Problem (IHCP), which cannot be solved by direct numerical methods. There are numerous techniques used to solve the IHCP based on heuristic search algorithms having very high computational demand. As another approach, it would be possible to use machine-learning methods for the same purpose, which are capable of giving prompt estimations about the main characteristics of the HTC function. As known, a key requirement for all successful machine-learning projects is the availability of high quality training data. In this case, the amount of real-world measurements is far from satisfactory because of the high cost of these tests. As an alternative, it is possible to generate the necessary databases using simulations. This paper presents a novel model for random HTC function generation based on control points and advanced smoothing techniques. As an additional step, a GPU accelerated finite-element method was used to simulate the cooling process resulting in the required temporary data records. These datasets make it possible for researchers to develop and test their IHCP solver algorithms.
DOI: 10.7910/dvn/xtaqmc/clnxxp
title: rankings.tab

description: :unav
DOI: 10.25345/c5xw7h
title: MassIVE MSV000083883 - Data files for Various HMGB1 proteases
title: HMGB1 from various vendors was digested using ArgC+GluC and Asp-N to improve the sequence coverage
DOI: 10.26133/nea9
title: SuperWASP Survey Light Curves

description: SuperWASP consists of two robotic observatories that operate continuously throughout the year, allowing coverage of both hemispheres of the sky. The first, SuperWASP-North, is located on the island of La Palma among the Isaac Newton Group (ING) of telescopes. The second, SuperWASP-South, is located at the site of the South African Astronomical Observatory (SAAO), just outside Sutherland, South Africa.  The NASA Exoplanet Archive hosts over 18 million light curves collected between 2004 and 2008.

This dataset or service is made available by the NASA Exoplanet Science Institute at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.5281/zenodo.3237689
title: Vertical variation in epiphytic cryptogam species richness and composition in a primeval Fagus sylvatica forest

description: "Data description.docx " contains the description of the data-file " Data_JVS_Vertical variation.xlsx" used for analyses.<br>
DOI: 10.5281/zenodo.3237690
title: Vertical variation in epiphytic cryptogam species richness and composition in a primeval Fagus sylvatica forest

description: "Data description.docx " contains the description of the data-file " Data_JVS_Vertical variation.xlsx" used for analyses.<br>
DOI: 10.17632/8mw8hnkf9y.1
title: Data for: Chemical Screen for Epigenetic Barriers to Single Allele Activation of Oct4

description: Raw data from Headley et al. 2019.
DOI: 10.25345/c5cw5s
title: MassIVE MSV000083885 - In vivo isotope tracing with 13C glucose and 13C glutamine in mouse primary hepatocytes with AT-1 overexpression and haploinsufficiency
title: Primary Mouse hepatocytes were introduced to U-13C glucose or U-13C glutamine for 30 min and then analyzed by GC-MS and LC-MS.
DOI: 10.7910/dvn/w3y5dg/wemy6c
title: usaid-led-upload.tab

description: household data as .csv file
DOI: 10.17632/2r3cjr23zt.1
title: Data for: Ownership structure and Profitability of listed firms in an Emerging market

description: Data set used to conduct the research. Data has been arranged and cleaned.
DOI: 10.17632/9n8559fshf.1
title: Salvianolic Acid B inhibits oxidative stress and microglia apoptosis through IKK/NF-κb pathway and alleviates spinal cord injury in rats

description: Our data show that salvianolic acid B is effective in relieving SCI through the IKK/ NF-kb pathway, which provides a new idea for the treatment of SCI.
DOI: 10.7910/dvn/w3y5dg/5d29o2
title: usaid-led-upload-1.tab

description: household data as stata .dta file
DOI: 10.7910/dvn/w3y5dg/l7yx7a
title: usaid-led-questionnaire.pdf

description: household questionnaire
DOI: 10.7910/dvn/w3y5dg/nttlkp
title: usaid-led-meta-data.pdf

description: meta data - for use with .csv file
DOI: 10.17632/sjsyw6cmfd.1
title: Predeformation of R260 rail steel

description: Predeformation of cylindrical test bars using an axial-torsion testing machine. Test bar dimensions given by drawing Material: Pearlitic R260 rail steel
DOI: 10.17632/7bjyfwzh7z.3
title: Air Quality, Solar radiation, Meteorological and OMI data Catalonia and northern Barcelona, 2005-2017

description: Applies to the manuscript: "2005-2017 ozone trends and potential benefits of local measures as deduced from air quality measurements in the north of the Barcelona metropolitan area" Air Quality (AQ) hourly data provided by AQ monitoring sites from local government, Generalitat de Catalunya. Same site abreviations as in the manuscript (units: microgram · m-3) Local time (UTC +1 winter, UTC +2 summer) Solar radiation (RS) daily data provided by UPC-ICAEN (units: MJ · day-1 · m-2) Meteorological data, different sampling frequency (UTC): -BCN data: provided by tha Faculty of Physics (Universitat de Barcelona) -PTS, TAG, GUR, NUR data provided by Meteocat (Generalitat de Catalunya) (units: wind speed (ws): m·s, wind direction (wd): degrees, temperature: degrees Celsius, relative humidity: % Please see all references in the manuscript Ozone Monitoring Data (OMI), Area-Averaged of NO2 Tropospheric Column (30% Cloud Screened) (molecules cm-2) daily 0.25 for the north of the Barcelona metropolitan area
DOI: 10.17632/nbrddh83w4.1
title: How To Choose A Blue Prism Training Institute?

description: In today's world when businesses are moving at a very fast pace, it has become inevitable for the organisations to think about something new to automate their business processes. RPA or the robotic process automation has become the new trend which is being adopted by most of the businesses these days. With the Online Blue Prism Training now you can easily become an expert and excel in your career in the long run. Read our blog https://articles.abilogic.com/363848/how-choose-blue-prism-training.html , for more details.
DOI: 10.17632/ycdr6yr3dx.1
title: Data for: A mechanistic understanding of repellent function against mammalian herbivores

description: Two-choice tests of individual captive fallow deer offered fodder varying in HaTe2 repellent concentration.
DOI: 10.7910/dvn/qg1dci/cnszn4
title: Replication Dofile Paper.do

description: Replication dofile (Stata 15)
DOI: 10.17632/bxtp2w96fj.1
title: Data for: Niacin Biological Challenge: A Paradigm to Evaluate Social Concerns

description: These data were used to compare participants receiving niacin compared to a placebo in a test of a biological correlate of anxiety sensitivity social concerns.
DOI: 10.7910/dvn/qg1dci/pbmabl
title: Replication data Italy paper.tab

description: Replication data (Stata 15)
DOI: 10.17632/99rkdj8ms7.2
title: Study 2 - Moral Foundations and Other-Regarding Behavior - Donations to Charity

description: Data used in Study 2 of the paper "On the Determinants of Other-Regarding Behavior: Field Tests of the Moral Foundations Questionnaire" by O'Grady, Vandegrift, Wolek and Burr. The dataset connects an individual's responses to the Moral Foundations Questionnaire with their decision to donate their bonus to charity in an economic game where any contributions to charity are matched. We hired 591 unique U.S. participants (workers) from Amazon Mechanical Turk (AMT) online labor market to complete the survey. Sixty-eight participants in the data set failed attention checks resulting in a 523 usable observations in Study 2. Study 2a includes 118 observations (Condition 1 n=36, Condition 2 n=40, Condition 3 n=42) with ages ranging from 22 to 71 (M=39.1, SD=11.0). Forty-three percent reported their gender as female and 81% reported their race as white. Study 2b includes 86 observations (Condition 4 n=43, Condition 5 n=43) aged 21 to 63 (M=37.8, SD=10.2), 40% female, and 84% white. Study 2c includes 319 observations (Condition 6 n=108, Condition 7 n=102, Condition 8 n=109) aged 24 to 70 (M=39.9, SD=10.4), 52% female, and 79% white.
DOI: 10.17632/99rkdj8ms7.1
title: Study 2 - Moral Foundations and Other-Regarding Behavior - Donations to Charity

description: Data used in Study 2 of the paper "On the Determinants of Other-Regarding Behavior: Field Tests of the Moral Foundations Questionnaire" by O'Grady, Vandegrift, Wolek and Burr. The dataset connects an individual's responses to the Moral Foundations Questionnaire with their decision to donate their bonus to charity in an economic game where any contributions to charity are matched. We hired 591 unique U.S. participants (workers) from Amazon Mechanical Turk (AMT) online labor market to complete the survey. Sixty-eight participants in the data set failed attention checks resulting in a 523 usable observations in Study 2. Study 2a includes 118 observations (Condition 1 n=36, Condition 2 n=40, Condition 3 n=42) with ages ranging from 22 to 71 (M=39.1, SD=11.0). Forty-three percent reported their gender as female and 81% reported their race as white. Study 2b includes 86 observations (Condition 4 n=43, Condition 5 n=43) aged 21 to 63 (M=37.8, SD=10.2), 40% female, and 84% white. Study 2c includes 319 observations (Condition 6 n=108, Condition 7 n=102, Condition 8 n=109) aged 24 to 70 (M=39.9, SD=10.4), 52% female, and 79% white.
DOI: 10.18716/nmrshiftdb2/30085947
title: NMR data for Sparteine monoperchlorate
DOI: 10.18716/nmrshiftdb2/30086700
title: NMR data for Multiflorine monoperchlorate
DOI: 10.21227/ryw5-pt57
title: Big Data Machine Learning Benchmark on Spark

description: We introduce a benchmark of distributed algorithms execution over big data. The datasets are composed of metrics about the computational impact (resource usage) of eleven well-known machine learning techniques on a real computational cluster regarding system resource agnostic indicators: CPU consumption, memory usage, operating system processes load, net traffic, and I/O operations.  The metrics were collected every five seconds for each algorithm on five different data volume scales, totaling 275 distinct datasets. The tested scenarios embraced problems of regression, clustering, classification, dimensionality reduction, and collaborative filtering. We performed experiments on 2.15 TB of synthetic data produced with Intel HiBench, in a cluster composed of 128 cores and 848 GB RAM managed by Apache Spark framework. We hope these datasets can be used by the scientific community to obtain insights about running algorithms on big data processing platforms.
DOI: 10.21227/t8bg-yc46
title: Big Data Machine Learning Benchmark on Spark

description: We introduce a benchmark of distributed algorithms execution over big data. The datasets are composed of metrics about the computational impact (resource usage) of eleven well-known machine learning techniques on a real computational cluster regarding system resource agnostic indicators: CPU consumption, memory usage, operating system processes load, net traffic, and I/O operations.  The metrics were collected every five seconds for each algorithm on five different data volume scales, totaling 275 distinct datasets. The tested scenarios embraced problems of regression, clustering, classification, dimensionality reduction, and collaborative filtering. We performed experiments on 2.15 TB of synthetic data produced with Intel HiBench, in a cluster composed of 128 cores and 848 GB RAM managed by Apache Spark framework. We hope these datasets can be used by the scientific community to obtain insights about running algorithms on big data processing platforms.
DOI: 10.18716/nmrshiftdb2/30086701
title: NMR data for 13-alpha-Hydroxymultiflorine monoperchlorate
DOI: 10.17632/gfvxdwgr7c.4
title: Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange.

description: An 8-month period was analyzed for the collection of public tweets, which were recorded from February 13 to October 18, in 2017. 138.070 pieces English language- tweets posted by users related to Dow Jones Index (DJI) on a daily basis. On the other hand, 34.632 pieces Turkish language-tweets were posted by users that are obtained relating to the Istanbul Stock Exchange Index (ISE) in the same period.
DOI: 10.17632/47fsw6j3cp.1
title: Data for: A Hybrid Random Forest Algorithm for Accurate Multi-Feature Point Cloud Classification of Rock Slopes
DOI: 10.17632/p5yyrjn7b6.1
title: 697 Nuclear Extract IP data

description: Multiple IP-Western data demonstrate the interaction between Mta2/NuRD and Aiolos and Ikaros
DOI: 10.21227/m9yw-xs04
title: RECOVERY-FA19

description: RECOVERY-FA19 dataset is established for development and evaulation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides ultra-widefield FA images acquired using Optos California P200DTx camera and labeled binary vessel maps.
DOI: 10.21227/xwa6-mn69
title: RECOVERY-FA19

description: RECOVERY-FA19 dataset is established for development and evaulation of retinal vessel detection algorithms in fluorescein angiography (FA). RECOVERY-FA19 provides ultra-widefield FA images acquired using Optos California P200DTx camera and labeled binary vessel maps.
DOI: 10.6073/pasta/d45dae73264c5e461ff0e3b747f8b9c4
title: MCR LTER: Coral Reef Resilience: North Shore Herbivorous Fish Counts, Habitat Associations, and Substrate, 2010

description: These data describe the species abundance, size distributions, and habitat associations of roving herbivorous fishes (fishes belonging to the families, Acanthuridae, Scaridae, and Siganidae) found in different habitats in the lagoon and forereef on the north shore of Moorea. Adult fishes and large juveniles were counted (and their size estimated) by a SCUBA diver or snorkeler on thirty-four 50 m by 5 m wide transects. After counting large fishes, the entire transect was swam a second time, with the diver looking exclusively for small juvenile fishes on a 1 m swath. In addition to recording the species identity and estimated size of each juvenile encountered, the diver also recorded the particular microhabitat each individual or group of individuals was associated with. Finally, to quantify the relative availability of different types of microhabitat, the diver conducted point contacts where the primary benthic substrate was identified at regular (1 m) intervals on the same transect.
       This material is based upon work supported by the U.S. National Science Foundation under
        Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
        Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
        Government (Délégation à la Recherche) and the Haut-commissariat de la République en
        Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
        contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6073/pasta/5a6798c5694d5a58362ab42e584b7b71
title: MCR LTER: Coral Reef Resilience: Herbivore Bite Rates on the North Shore Forereef July-August 2010

description: These data describe bite rates of two abundant species of roving herbivorous fishes found on the forereef, Chlorurus sordidus (Scaridae), and Ctenochaetus striatus (Acanthuridae). During several days in July and August 2010, a SCUBA diver followed individual focal fish for a period of up to 5 minutes and recorded the number of bites taken as well the types of substrates bitten. Upon randomly locating a focal individual, divers estimated the total length of that individual as well as their depth at the initiation (and termination) of the observation. Data are organized in two data tables. The first data table (Focal_Herbivore_Bite_Rates) contains individuals that were observed at two depths (~ 10 m and ~ 17 m) at LTER 1 as part of a balanced sampling design (see Sampling Protocol/Design). The second data table (Additional_Bite_Rate_Data) contains individuals that were observed opportunistically at LTER 1 and Resilience 2. To minimize the effect of time of day on fish behavior, all data were collected between 10:00 and 16:00, a period of time which corresponds with peak feeding rates for many herbivorous fishes.
       This material is based upon work supported by the U.S. National Science Foundation under
        Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
        Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
        Government (Délégation à la Recherche) and the Haut-commissariat de la République en
        Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
        contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6073/pasta/6ca8cc35c3e7e7942c05a752da2bc00f
title: MCR LTER: Coral Reef Resilience: Short-term Accumulation of Algal Biomass on Unglazed Ceramic Tiles from July 2010-August 2011

description: Caged tiles were placed at various sites to measure short-term algal accumulation in the absence of grazing by fishes or large invertebrates.
      These data document biomass of algae that accumulated on unglazed ceramic tiles (2.5 cm X 2.5 cm) placed inside cages (mesh size = 2.5 cm x 2.5 cm) at various sites around the island of Moorea for a period of 3 to 4 weeks. Three separate experiments were conducted (one during July-August 2010 and two in July-August 2011). In the first experiment (2010_Production), we measured the accumulation of algae after 24 days at two different depths on the forereef (10 and 17 m), and within the lagoon at four different distances from the reef crest (approximately 25, 100, 400, and 700 m). In the second experiment (2011_Production_Summary), we measured the accumulation of algae after 24 or 25 days at six forereef sites (LTER 1, Resilience 2, LTER 3, LTER 4, LTER 5, LTER 6). In this experiment, tiles were placed adjacent to the fish transects (see knb-lter-mcr.6) at a depth of 12 m. In the final experiment (Production_Time_Series), we measured the accumulation of algae on tiles at three day intervals over a period of 31 days. This experiment was conducted at Resilience 2.
       This material is based upon work supported by the U.S. National Science Foundation under
        Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
        Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
        Government (Délégation à la Recherche) and the Haut-commissariat de la République en
        Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
        contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6073/pasta/7454b739823676a400e55c2d30a2b158
title: MCR LTER: Coral Reef Resilience: Turbinaria Alternate State Experiment

description: These data describe the density of Turbinaria ornata stipes from experimentally manipulated 
        1 m X 1 m plots on the forereef and naturally occurring 1 m X 1 m patches on the fringing reefs. 
        In this pilot experiment Turbinaria were transplanted from the fringing reef to the forereef at 
        10 m depth to test whether it persists upon establishment.
       This material is based upon work supported by the U.S. National Science Foundation under
        Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
        Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
        Government (Délégation à la Recherche) and the Haut-commissariat de la République en
        Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
        contribution of the Moorea Coral Reef (MCR) LTER Site.