cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/a76dc79a592e3cecfd5844c6b256d058
title: Synoptic Sampling Program GIS data.

description: Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. The GIS data presented was used to both help in selecting the 58 sites.
DOI: 10.18739/a2q814s0s
title: Sediment trap data from Lake Peters and Lake Schrader, Arctic National Wildlife Refuge, Alaska, 2015-2017
DOI: 10.21227/vm0s-sz50
title: Alarm logs of industrial packaging machines

description: The advent of the Industrial Internet of Things (IIoT) has led to the availability of huge amounts of data, that can be used to train advanced Machine Learning algorithms to perform tasks such as Anomaly Detection, Fault Classification and Predictive Maintenance. Even though not all pieces of equipment are equipped with sensors yet, usually most of them are already capable of logging warnings and alarms occurring during operation. Turning this data, which is easy to collect, into meaningful information about the health state of machinery can have a disruptive impact on the improvement of efficiency and up-time. The provided dataset consists of a sequence of alarms logged by packaging equipment in an industrial environment. The collection includes data logged by 20 machines, deployed in different plants around the world, from 2019-02-21 to 2020-06-17. There are 154 distinct alarm codes, whose distribution is highly unbalanced. This data can be used to address the following tasks: 1. Next alarm forecasting: this problem can be framed as a supervised multi-class classification task, or a binary classification task when a specific alarm code is considered. 2. Predicting alarms occurring in a future time frame: here the goal is to forecast the occurrence of certain alarm types in a future time window. Since many alarms can occur, this is a supervised multi-label classification. 3. Future alarm sequence prediction: here the goal is predicting an ordered sequence of future alarms, in a sequence-to-sequence forecasting scenario. 4. Anomaly Detection: the task is to detect abnormal equipment conditions, based on the pattern of alarms sequence. This task can be either unsupervised, if only the input sequence is considered, or supervised if future alarms are taken into account to assess whether or not there is an anomaly. All of the above tasks can also be studied from a continual learning perspective. Indeed, information about the serial code of the specific piece of equipment can be used to train the model; however, a scalable model should also be easy to apply to new machines, without the need of a new training from scratch.
DOI: 10.5281/zenodo.2640909
title: ATOM: Model-Driven Autoscaling for Microservices

description: This dataset release supports the results presented in the paper<br>
"ATOM: Model-Driven Autoscaling for Microservices", by A. U. Gias, G. Casale and M. Woodside, accepted in IEEE International Conference on Distributed Computing Systems (ICDCS), 2019.  

When referring to the dataset please cite the paper above.
description: Grants:
European Commission
RADON - Rational Decomposition and Orchestration for Serverless Computing (825040)
DOI: 10.18739/a2kh0dz5j
title: Lake Peters water level, Arctic National Wildlife Refuge, Alaska, 2015-2017
DOI: 10.5281/zenodo.2640908
title: ATOM: Model-Driven Autoscaling for Microservices

description: This dataset release supports the results presented in the paper<br>
"ATOM: Model-Driven Autoscaling for Microservices", by A. U. Gias, G. Casale and M. Woodside, accepted in IEEE International Conference on Distributed Computing Systems (ICDCS), 2019.  

When referring to the dataset please cite the paper above.
description: Grants:
European Commission
RADON - Rational Decomposition and Orchestration for Serverless Computing (825040)
DOI: 10.18739/a2fq9q52r
title: Lake Peters water temperature and luminous flux, Alaska, 2015-2017
DOI: 10.25612/837.j989ndp96g6l
title: FEMA Individual Assistance Open Disaster Statistics - October 12, 2018 Aggregated Data

description: FEMA's IndividuaFEMA's Individual Assistance data for declaration dates between June 2, 2017 and September 29, 2018. Dataset date stamp: October 12, 2018. Includes Hurricane Harvey data. Data aggregated at the zip code level. No personally identifiable information provided.
DOI: 10.17632/xbpzcdbn58.1
title: Data for: Candidate quantitative trait loci and genes for fiber quality in Gossypium hirsutum L. detected using single- and multi-locus association mapping

description: Supplementary materials Table S1. Information on 196 upland cotton accessions Table S2. Summary of SNPs, PIC, gene diversity, and LD decay (Yuan et al., 2018) Table S3. The significant SNPs for fiber quality detected with the values of seven environments (including BLUP) and the six models Table S4. Annotation of genes related to fiber quality and their expression in different tissues Table S5. Candidate genes containing or nearby (&lt;5 kb) significant SNPs Table S6. The correlation between fiber quality and cottonseed nutritional traits Table S7. The shared genes between fiber quality and cottonseed nutritional traits Table S8. All the specific primers for the selected genes and the intro-reference gene UBQ7. Figure S1. LnP(K) and Ln(DK) values plotted from 1 to 20. (a) LnP(K) (mean +- SD) values plotted from 1 to 20. (b) Ln(DK) values plotted from 1 to 20. Figure S2. Population structure of the 196 accessions. (a) UPGMA tree based on Nei’s genetic distances. The color of the tree shows two subpopulations, whereas the elliptic curves with four colors show four subpopulations. (b) Heatmap for Kinship analysis of 196 accessions based on genotype. Figure S3. A heatmap of the expression levels of 245 candidate genes in root, stem, leaf, torus, petal, stamen, pistil, calycle, and ovules at 1, 3, 5, 10, 20, 25, and 35 days post anthesis (dpa), and the fibers at 5, 10, 20, and 25 dpa. The 89 candidate genes that are specifically expressed in fiber or ovule are denoted by “#.” Figure S4. The relative expression level of the 11 candidate genes in the different stages of ovule development (1, 3, 5, 10, 20, 25, 30, 35 days post anthesis).
DOI: 10.25345/c56g87
title: MassIVE MSV000083689 - GNPS - SEED - Cheetah diet / liver necrosis study -- data with LC RT shift
title: Metabolic analysis of cheetah fecal samples and environmental samples, standard methanol extraction. Data was acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.

Data have an identified retention time shift as compared to MassIVE MSV000082969.
DOI: 10.5281/zenodo.2641320
title: Binary black-hole simulation SXS:BBH:2039

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.7910/dvn/4x22qt
title: Financial Performance and Financial Capabilities Weights and Biase Values

description: Weights of Layers, Weight of Inputs, Biase Values
DOI: 10.5281/zenodo.2641331
title: R code for modeling indexical fields using MSTs

description: R code for modeling indexical fields using Minimum Spanning Trees
DOI: 10.25345/c52s7q
title: MassIVE MSV000083690 - Proteomic atlas of organ vasculopathies triggered by Staphylococcus aureus sepsis
title: Sepsis is a life-threatening condition triggered by a dysregulated host response to microbial infection resulting in vascular dysfunction, organ failure and death. Here we provide a semi-quantitative atlas of the murine vascular cell-surface proteome at the organ level, and how it changes during sepsis. Using in-vivo chemical labeling, multi-dimensional liquid chromatography, and high-resolution mass spectrometry, we demonstrate the presence of a vascular proteome that is perfusable and shared across multiple organs. This proteome was enriched in membrane-anchored proteins, including multiple regulators of endothelial barrier functions and the innate immunity. Further, we automated our workflows and applied them to a murine model of methicillin-resistant Staphylococcus aureus sepsis to unravel changes during systemic inflammatory responses. We provide an organ-specific atlas of both systemic and local changes of the vascular proteome triggered by sepsis. The data indicates that upon a septic challenge, the different organ vasculatures undergo unique and extensive remodeling.
DOI: 10.17632/nc4pf7n7z7.1
title: Data for: SURVIVAL AND RECOVERY OF THE FORAMINIFER AMPHISTEGINA GIBBOSA AND ASSOCIATED DIATOM ENDOSYMBIONTS FOLLOWING UP TO 20 MONTHS IN APHOTIC CONDITIONS

description: Data and analysis concerning recovery of foraminifera and diatom endosymbiont following extended periods in aphotic conditions
DOI: 10.5517/ccdc.csd.cc1zv8rv
title: CCDC 1842508: Experimental Crystal Structure Determination

description: Related Article: Qing Du, Lihua Guo, Xingxing Ge, Liping Zhao, Zhenzhen Tian, Xicheng Liu, Fanjun Zhang, Zhe Liu|2019|Inorg.Chem.|58|5956|doi:10.1021/acs.inorgchem.9b00282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zv98d
title: CCDC 1842524: Experimental Crystal Structure Determination

description: Related Article: Qing Du, Lihua Guo, Xingxing Ge, Liping Zhao, Zhenzhen Tian, Xicheng Liu, Fanjun Zhang, Zhe Liu|2019|Inorg.Chem.|58|5956|doi:10.1021/acs.inorgchem.9b00282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2064gv
title: CCDC 1852946: Experimental Crystal Structure Determination

description: Related Article: Mengna Zhi, Zhenjie Gan, Rong Ma, Hao Cui, Er-Qing Li, Zheng Duan, François Mathey|2019|Org.Lett.|21|3210|doi:10.1021/acs.orglett.9b00926
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21f3zl
title: CCDC 1889449: Experimental Crystal Structure Determination

description: Related Article: Vedran Vukovic, Krešimir Molcanov, Christian Jelsch, Emmanuel Wenger, Anna Krawczuk, Marijana Juric, Lidija Androš Dubraja, Biserka Kojic-Prodic|2019|Cryst.Growth Des.|19|2802|doi:10.1021/acs.cgd.9b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21f40n
title: CCDC 1889450: Experimental Crystal Structure Determination

description: Related Article: Vedran Vukovic, Krešimir Molcanov, Christian Jelsch, Emmanuel Wenger, Anna Krawczuk, Marijana Juric, Lidija Androš Dubraja, Biserka Kojic-Prodic|2019|Cryst.Growth Des.|19|2802|doi:10.1021/acs.cgd.9b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21f41p
title: CCDC 1889451: Experimental Crystal Structure Determination

description: Related Article: Vedran Vukovic, Krešimir Molcanov, Christian Jelsch, Emmanuel Wenger, Anna Krawczuk, Marijana Juric, Lidija Androš Dubraja, Biserka Kojic-Prodic|2019|Cryst.Growth Des.|19|2802|doi:10.1021/acs.cgd.9b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21f42q
title: CCDC 1889452: Experimental Crystal Structure Determination

description: Related Article: Vedran Vukovic, Krešimir Molcanov, Christian Jelsch, Emmanuel Wenger, Anna Krawczuk, Marijana Juric, Lidija Androš Dubraja, Biserka Kojic-Prodic|2019|Cryst.Growth Des.|19|2802|doi:10.1021/acs.cgd.9b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc20vr1p
title: CCDC 1872742: Experimental Crystal Structure Determination

description: Related Article: Qing Du, Lihua Guo, Xingxing Ge, Liping Zhao, Zhenzhen Tian, Xicheng Liu, Fanjun Zhang, Zhe Liu|2019|Inorg.Chem.|58|5956|doi:10.1021/acs.inorgchem.9b00282
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21sglx
title: CCDC 1900349: Experimental Crystal Structure Determination

description: Related Article: Leonard Homberg, Alexander Roller, Kai C. Hultzsch|2019|Org.Lett.|21|3142|doi:10.1021/acs.orglett.9b00832
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21sgmy
title: CCDC 1900350: Experimental Crystal Structure Determination

description: Related Article: Leonard Homberg, Alexander Roller, Kai C. Hultzsch|2019|Org.Lett.|21|3142|doi:10.1021/acs.orglett.9b00832
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5z03b
title: MassIVE MSV000083691 - GNPS massive dataset ER Hops 4/15/19
title: Bacteria interaction substrate with hops for X & IX 4/15/19 Bacteria interaction substrate with hops for X & IX 4/15/19
DOI: 10.25345/c5pg8k
title: MassIVE MSV000083693 - GNPS massive dataset Flavonifractor plautii 4/16/19
title: bacteria interaction substrate X & IX GNPS massive dataset Flavonifractor plautii 4/16/19
DOI: 10.25345/c5t92t
title: MassIVE MSV000083692 - GNPS massive dataset Clostridium sp 4/16/19
title: bacteria interaction substrate Clostridium sp 4/16/19 Clostridium sp 4/16/19 Clostridium sp 4/16/19
DOI: 10.5281/zenodo.2641221
title: Integrated force and position control dataset

description: The methods implemented for these experiments are described in the papers:

[1] A. Suarez, M. Perez, A. E. Jimenez-Cano, G. Heredia, A. Ollero: "Cartesian Aerial Manipulator with Compliant Joint Arm", submitted to Robotics and Automation Letters, February 2019.

[2] A. Suarez, P. Sanchez-Cuevas, M. Fernandez, M. Perez, G. Heredia and A. Ollero, "Lightweight and Compliant Long Reach Aerial Manipulator for Inspection Operations," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018, pp. 6746-6752.

These data files correspond to two different contact force control experiments conducted with the Cartesian aerial manipulator in outdoors, using a Leica Total Station to measure the position of the UAV, the estimator and the Cartesian manipulator with compliant joint arm described in the paper. The force/torque is estimated from the joint deflection signal measured by a magnetic encoder integrated in the compliant joint. The control rate is set to 50 Hz, taking into account the RAM-read update rate of the Herkulex servos.
DOI: 10.5281/zenodo.2641222
title: Integrated force and position control dataset

description: The methods implemented for these experiments are described in the papers:

[1] A. Suarez, M. Perez, A. E. Jimenez-Cano, G. Heredia, A. Ollero: "Cartesian Aerial Manipulator with Compliant Joint Arm", submitted to Robotics and Automation Letters, February 2019.

[2] A. Suarez, P. Sanchez-Cuevas, M. Fernandez, M. Perez, G. Heredia and A. Ollero, "Lightweight and Compliant Long Reach Aerial Manipulator for Inspection Operations," 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, 2018, pp. 6746-6752.

These data files correspond to two different contact force control experiments conducted with the Cartesian aerial manipulator in outdoors, using a Leica Total Station to measure the position of the UAV, the estimator and the Cartesian manipulator with compliant joint arm described in the paper. The force/torque is estimated from the joint deflection signal measured by a magnetic encoder integrated in the compliant joint. The control rate is set to 50 Hz, taking into account the RAM-read update rate of the Herkulex servos.
DOI: 10.5281/zenodo.2640355
title: Serial crystallography dataset - pb9

description: Serial crystallography dataset on protein pb9, obtained with the mesh and collect technique.
description: ANR Ln23 ANR-13-BS07-0007-01
DOI: 10.5281/zenodo.2640356
title: Serial crystallography dataset - pb9

description: Serial crystallography dataset on protein pb9, obtained with the mesh and collect technique.
description: ANR Ln23 ANR-13-BS07-0007-01
DOI: 10.7303/syn18500214.1
title: iii. Synthetic Spectra Based on RCC and Ovarian CA iii. Synthetic Spectra Based on RCC and Ovarian CA
DOI: 10.18141/1506664
title: CFD-Driven Optimization of a Bench-Scale Fluidized Bed Biomass Gasifier using MFiX-TFM and Nodeworks-OT

description: ARS TRS
DOI: 10.5281/zenodo.2640318
title: Serial crystallography dataset - PhP1

description: Data collected on protein PhP1 with the mesh and collect method at the ESRF.
description: Grant ANR Ln23 ANR-13-BS07-0007-01
DOI: 10.5281/zenodo.2640319
title: Serial crystallography dataset - PhP1

description: Data collected on protein PhP1 with the mesh and collect method at the ESRF.
description: Grant ANR Ln23 ANR-13-BS07-0007-01
DOI: 10.7303/syn18500215.1
title: Synthetic Spectra Based on SBS3, 5, 40
DOI: 10.17632/9vgx44p9vm.1
title: Data for: Computer-aided ionic liquid design for alkane/cycloalkane extractive distillation process

description: supplementary material
DOI: 10.5517/ccdc.csd.cc1pwpr0
title: CCDC 1575753: Experimental Crystal Structure Determination

description: Related Article: Jinzhen Lu, Ruchika Ojha, Alan M. Bond, Lisandra L. Martin|2019|Cryst.Growth Des.|19|2712|doi:10.1021/acs.cgd.8b01841
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pwpy6
title: CCDC 1575759: Experimental Crystal Structure Determination

description: Related Article: Jinzhen Lu, Ruchika Ojha, Alan M. Bond, Lisandra L. Martin|2019|Cryst.Growth Des.|19|2712|doi:10.1021/acs.cgd.8b01841
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q8yc9
title: CCDC 1587521: Experimental Crystal Structure Determination

description: Related Article: Stefan Weller, Simon H. Schlindwein, Christoph M. Feil, Zsolt Kelemen, Dániel Buzsáki, László Nyulászi, Stefan Isenberg, Rudolf Pietschnig, Martin Nieger, Dietrich Gudat|2019|Dalton Trans.|48|6236|doi:10.1039/C9DT00892F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q8ydb
title: CCDC 1587522: Experimental Crystal Structure Determination

description: Related Article: Stefan Weller, Simon H. Schlindwein, Christoph M. Feil, Zsolt Kelemen, Dániel Buzsáki, László Nyulászi, Stefan Isenberg, Rudolf Pietschnig, Martin Nieger, Dietrich Gudat|2019|Dalton Trans.|48|6236|doi:10.1039/C9DT00892F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q8yfc
title: CCDC 1587523: Experimental Crystal Structure Determination

description: Related Article: Stefan Weller, Simon H. Schlindwein, Christoph M. Feil, Zsolt Kelemen, Dániel Buzsáki, László Nyulászi, Stefan Isenberg, Rudolf Pietschnig, Martin Nieger, Dietrich Gudat|2019|Dalton Trans.|48|6236|doi:10.1039/C9DT00892F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.7303/syn18500216.1
title: vi. Synthetic Spectra Based on SBS2, 7a, 7b
DOI: 10.7303/syn18500217.1
title: v. Synthetic Spectra Based on Bladder CA and Melanoma