cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3237604
title: Impacts of Freight Consolidation and Truck Sharing on Freight Mobility

description: Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference: "The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The model was applied to several case studies using Transplace, Inc. (a third party logistics company) route data to identify optimized, consolidated routes. Emission impacts were also estimated for both the existing and consolidated routes using monetary equivalent cost (MEC) values. A linear regression model was developed to predict freight movement between metropolitan statistical areas (MSAs). Results of the case studies were then applied to estimate the operation and environment-related costs associated with freight movement from New Orleans MSA to Oklahoma City MSA for all commodities. Finally, the results of the case studies were applied at the national level and projected for future years, to estimate the potential cost savings in freight consolidation. Results indicate that it may be possible to consolidate cargo with only 67% of the currently used number of trucks, which may reduce the operation cost by 23% and MEC by 17%."
description: Tran-SET Project No. 17ITSOKS02
DOI: 10.5281/zenodo.3237605
title: Impacts of Freight Consolidation and Truck Sharing on Freight Mobility

description: Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference: "The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The model was applied to several case studies using Transplace, Inc. (a third party logistics company) route data to identify optimized, consolidated routes. Emission impacts were also estimated for both the existing and consolidated routes using monetary equivalent cost (MEC) values. A linear regression model was developed to predict freight movement between metropolitan statistical areas (MSAs). Results of the case studies were then applied to estimate the operation and environment-related costs associated with freight movement from New Orleans MSA to Oklahoma City MSA for all commodities. Finally, the results of the case studies were applied at the national level and projected for future years, to estimate the potential cost savings in freight consolidation. Results indicate that it may be possible to consolidate cargo with only 67% of the currently used number of trucks, which may reduce the operation cost by 23% and MEC by 17%."
description: Tran-SET Project No. 17ITSOKS02
DOI: 10.5258/soton/d0946
title: Dataset for "Ge-on-Si modulators operating at mid-infrared wavelengths up to 8 um"

description: Data supports the paper
Li, T., Nedeljkovic, M., Hattasan, N., Cao, W., Qu, Z., Littlejohns, C., Soler Penades, J., Mastronardi, L., Mittal, V., Benedikovic, D., Thomson, D., Gardes, F., Wu, H., Zhou, Z. & Mashanovich, G.,  (2019) Ge-on-Si modulators operating at mid-infrared wavelengths up to 8 μm  Photonics Research.
DOI: 10.15129/5b238091-c903-4506-9d62-7557a1db5cf8
title: Data for: "Searching for Mechanistic Truths in Complex Reaction Pathways"

description: Thesis supplementary Data. 

DFT XYZ Files for each chapter of the thesis.  XYZ files are plain text documents which contain the number of atoms, electronic energy and xyz coordinates of the optimised geometry of a system.  These files can be opened in any text editor to view the contents, or alternatively can be converted to an input file for any quantum chemical software package.
DOI: 10.5258/soton/d0462
title: Supporting data for "Far-field superoscillatory metamaterial superlens"

description: Data supporting the paper Yuan, Guanghui ; Rogers, Katrine ; Rogers, Edward ; Zheludev, Nikolai. / Far-field superoscillatory metamaterial superlens. In: Physical Review Applied. 2019
DOI: 10.7910/dvn/hvrl0s/bfrhqy
title: VERNBY_DANCYGIER_PLOS_ONE.tab

description: Stata 14 data.
DOI: 10.7910/dvn/hvrl0s/gw7h10
title: VERNBY_DANCYGIER_PLOS_ONE.do

description: Do-file for Stata 14.
DOI: 10.5281/zenodo.3237379
title: Word2Vec Models Dutch Newspapers

description: Word Embedding models trained on 6 national Dutch newspapers. 

We use the Gensim implementation of Word2Vec to train four embedding models per newspaper, each representing one decade between 1950 and 1990. The models were trained using C-BOW with hierarchical softmax, with a dimensionality of 300, a minimal word count and context of 5, and downsampling of 10<sup>-5</sup>

These models belong to the article: Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990
DOI: 10.5281/zenodo.3237380
title: Word2Vec Models Dutch Newspapers

description: Word Embedding models trained on 6 national Dutch newspapers. 

We use the Gensim implementation of Word2Vec to train four embedding models per newspaper, each representing one decade between 1950 and 1990. The models were trained using C-BOW with hierarchical softmax, with a dimensionality of 300, a minimal word count and context of 5, and downsampling of 10<sup>-5</sup>

These models belong to the article: Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990
DOI: 10.5281/zenodo.3237768
title: The China Drug, Crime and Detention Database

description: The China Drug, Crime and Detention Database Project is the first open access quantitative database focused on Chinese government drug policy and the country's justice system. It is an open access resource for researchers, advocates, journalists and organisations engaged in the study of drug policy, criminal justice, policing and detention in China.

Spanning 500+ categories and drawing on data from more than 200 publicly available sources, the database presents quantitative data on a range of topics, including: illicit drug use; drug harm reduction programs; criminal and administrative offenses; criminal and extrajudicial detention; judicial sentencing; and policing.

As an open access resource, the China Drug, Crime and Detention Database Project addresses a common issue faced by researchers: access to data. Today more quantitative data on drugs, crime and judicial sentencing in China are available than ever before. Unfortunately, government data are often scattered across numerous sources, with indicators appearing in earlier ministerial reports but disappearing from later editions. Other figures only appear in news reports or scholarly works. Although these sources are public, collating data drawn from them requires considerable time and effort. By providing a centralised repository for these data, the China Drug, Crime and Detention Database Project will address these problems.

<br>
中国毒品、犯罪和拘留数据库项目是第一个专注于中国政府毒品政策和国家司法系统的开放数值型数据库。作为开放数据资源,该数据库供研究中国毒品政策、刑事司法、治安和拘留问题的研究人员、倡议人士、记者和相关组织使用。

该数据库使用了200多个公开数据来源,涵盖500多个子类别,涉及议题包括:非法药物使用、减少危害干预措施、刑事和行政犯罪、司法审判和治安等。

作为开放数据资源,该项目解决了中国问题研究者面临的共同困境:如何获取数据。相较以往,中国现在公开了更多关于毒品、犯罪和司法审判的数据。但这些官方数据往往分散在难以计数的信息来源中,碎片化且不稳定。例如,一些早年国家政府报告中包含的数据类别在近年报告中消失了, 有些数据仅出现在新闻报道或学术著作中。虽然这些数据是公开的,但从中收集、整理信息需要大量的时间和精力。通过集中梳理这些分散的数据,该数据库为解决这些问题。

http://www.lse.ac.uk/united-states/international-drug-policy/IDPU-China-drug-database
DOI: 10.7910/dvn/arhzu4/0tnbls
title: apsa-leeper.bst

description: BibTeX style file used by manuscript.Rnw
DOI: 10.7910/dvn/arhzu4/hbev45
title: hainmueller-immigrant.tab

description: :unav
DOI: 10.7910/dvn/arhzu4/jbspyf
title: teele.tab

description: :unav
DOI: 10.7910/dvn/arhzu4/jzzgdo
title: references.bib

description: :unav
DOI: 10.7910/dvn/arhzu4/v54ipq
title: bechtel_scheve_pnas.tab

description: :unav
DOI: 10.7910/dvn/arhzu4/wivmmp
title: Makefile

description: :unav
DOI: 10.7910/dvn/arhzu4/xbmt2f
title: hainmueller-candidate.tab

description: :unav
DOI: 10.7910/dvn/arhzu4/zsc7qw
title: ballard-rosa.tab

description: :unav
DOI: 10.7910/dvn/arhzu4/2tpyu5
title: manuscript.Rnw

description: Main manuscript file (knitr format) containing all code for all analysis in article and SI
DOI: 10.7910/dvn/arhzu4/zhq0tb
title: README.md

description: README
DOI: 10.5281/zenodo.3237619
title: Data for the publication "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells"

description: This upload contains the data presented in the manuscript "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells", which reports the observation of a  high conductivity 2DHG in an epitaxially grown GaN/AlN heterostructure. This upload contains 4 files :


	1_tabulated_raw_data.xlsx : Both the raw experimental data along with the simulation results used in the Figures 1A, 2B, 3, 4, S2 in the paper. The data is encapsulated in a Excel file, with separate sheets used for each figure.
	2_nextnano_GaN_AlN_band_diagram.in :  Input file for nextnano software (https://www.nextnano.de/) for generating the band diagrams in the paper.
	3_README_XRD_sim.txt : Readme file with instructions for the XRD simulation for Fig 2
	4_XRD_sim_run.py : Python script for running the XRD simulation
DOI: 10.5281/zenodo.3237620
title: Data for the publication "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells"

description: This upload contains the data presented in the manuscript "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells", which reports the observation of a  high conductivity 2DHG in an epitaxially grown GaN/AlN heterostructure. This upload contains both the raw experimental data along with the simulation results used in the Figures 1A, 2B, 3, 4, S2 in the paper. The data is encapsulated in a Excel file, with separate sheets used for each figure.
DOI: 10.7910/dvn/t2zvkg/3dogwa
title: Codebook Pol Rep Racial Minority Sg.pdf

description: Codebook
DOI: 10.7910/dvn/t2zvkg/cozjkd
title: Question 10th Sg Parliament (by individual legislator) (Excl Speaker PM Ministers).tab

description: Replication10thparliament
DOI: 10.7910/dvn/t2zvkg/ek31es
title: Question 12th Sg Parliament (by individual legislator) (Excl Speaker PM Ministers).tab

description: Replication12thparliament
DOI: 10.7910/dvn/t2zvkg/lfa5o5
title: Question 11th Sg Parliament (by individual legislator) (Excl Speaker PM Ministers).tab

description: Replication11thparliament
DOI: 10.5255/ukda-sn-853658
title: Antibiotics and activity spaces: rural health behaviour survey in Northern Thailand and Southern Laos 2017-2018
DOI: 10.15151/esrf-es-186859800
title: Structural studies on transcriptional proof-reading
DOI: 10.21227/vv07-6e59
title: Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

description: Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper, departing from these methods, we propose a data-driven ensemble method to detect drug sites from remote sensing images. Our method comprises different Convolutional Neural Network architectures applied to distinct image representations, which are able to represent complementary characterizations of such crops. To validate the proposed approach, we considered in ourexperiments a dataset containing Cannabis Sativa crops, spottedby police operations in a Brazilian region called the Marijuana Polygon. Results in this dataset show that our ensemble approach outperforms other data-driven and feature-engineering methods in a real-world experimental setup, in which unbalanced samples are present and acquisitions from different places are used fortraining and testing the methods, highlighting the promising useof this solution to aid police operations in detecting and collectingevidence of such sensitive content properly.
DOI: 10.5281/zenodo.3237783
title: Regional model results (combined) for the six transition potentials (one for Africa, Australia, Asia, Europe, North America, and South America)

description: Results for the six regional models showing areas of high potential to transition from tree cover to tree cover loss to areas of low potential to transition.
description: "The data use terms for the input datasets are as follows:
-https://opendatacommons.org/licenses/odbl/1.0/
-CI's creative commons license (downscaled climate data)
1km Resolution Datasets of Global and Regional Risks of Tree Cover Loss
This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Use the following credit when these data are displayed:
Hewson, Jennifer, Stefano Crema, Mariano González-Roglich, Karyn Tabor, and Celia Harvey. "New 1 Km Resolution Datasets of Global and Regional Risks of Tree Cover Loss." Land 8, no. 1 (January 10, 2019): 14. https://doi.org/10.3390/land8010014."
DOI: 10.21227/wkfy-pb34
title: Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

description: Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper, departing from these methods, we propose a data-driven ensemble method to detect drug sites from remote sensing images. Our method comprises different Convolutional Neural Network architectures applied to distinct image representations, which are able to represent complementary characterizations of such crops. To validate the proposed approach, we considered in ourexperiments a dataset containing Cannabis Sativa crops, spottedby police operations in a Brazilian region called the Marijuana Polygon. Results in this dataset show that our ensemble approach outperforms other data-driven and feature-engineering methods in a real-world experimental setup, in which unbalanced samples are present and acquisitions from different places are used fortraining and testing the methods, highlighting the promising useof this solution to aid police operations in detecting and collectingevidence of such sensitive content properly.
DOI: 10.5281/zenodo.3237782
title: Regional model results (combined) for the six transition potentials (one for Africa, Australia, Asia, Europe, North America, and South America)

description: Results for the six regional models showing areas of high potential to transition from tree cover to tree cover loss to areas of low potential to transition.
description: "The data use terms for the input datasets are as follows:
-https://opendatacommons.org/licenses/odbl/1.0/
-CI's creative commons license (downscaled climate data)
1km Resolution Datasets of Global and Regional Risks of Tree Cover Loss
This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Use the following credit when these data are displayed:
Hewson, Jennifer, Stefano Crema, Mariano González-Roglich, Karyn Tabor, and Celia Harvey. "New 1 Km Resolution Datasets of Global and Regional Risks of Tree Cover Loss." Land 8, no. 1 (January 10, 2019): 14. https://doi.org/10.3390/land8010014."
DOI: 10.5281/zenodo.655320
title: POPC with 0, 10, 20, and 30 mol-% of cholesterol at 310 K. Charmm36 force field.

description: A POPC bilayer consisting of 200 lipids (100 per leaflet) is simulated in the presence of 0% (0 molecules), 10 % (22 molecules), 20 % (50 molecules), or 30 % (86 molecules) of cholesterol. The Charmm36 model [1] is employed for lipids and the Charmm-compatible variant of the tip3p model for water.

The Charmm36 force field parameters were obtained from CHARMM-GUI [2] at http://www.charmm-gui.org

*** IMPORTANT ***

This is a correction to an earlier dataset simulated with some missing dihedrals, see: DOI: 10.5281/zenodo.61649

––––––––––––––––––––––––––––––––––––––––––––––––––––––

The files are in GROMACS format. Trajectory (.xtc) is 100 ns long with data saved every 100 ps. Additionally, the initial structure (.gro), topology (.top), index file (.ndx), simulation paremeter file (.mdp), binary run input file for GROMACS v. 5.0–&gt; (.tpr) and the energy output file (.edr) are provided. 

UPDATE: Longer 500 ns trajectories are updated together with the checkpoint files.

––––––––––––––––––––––––––––––––––––––––––––––––––––––

[1] Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types

Jeffery B. Klauda, Richard M. Venable, J. Alfredo Freites,  Joseph W. O’Connor, Douglas J. Tobias, Carlos Mondragon-Ramirez, Igor Vorobyov, Alexander D. MacKerell, Jr., and Richard W. Pastor

The Journal of Physical Chemistry B 2010 114 (23), 7830-7843

DOI: 10.1021/jp101759q

 

[2] CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field

Jumin Lee, Xi Cheng, Jason M. Swails, Min Sun Yeom, Peter K. Eastman, Justin A. Lemkul, Shuai Wei, Joshua Buckner, Jong Cheol Jeong, Yifei Qi, Sunhwan Jo, Vijay S. Pande, David A. Case, Charles L. Brooks, III, Alexander D. MacKerell, Jr., Jeffery B. Klauda, and Wonpil Im

Journal of Chemical Theory and Computation 2016 12 (1), 405-413

DOI: 10.1021/acs.jctc.5b00935
DOI: 10.21227/h6q8-y165
title: HazeRD: An Outdoor Scene Dataset and Benchmark for Single Image Dehazing

description: We proposed a new dataset, HazeRD, for benchmarking dehazing algorithms under realistic haze conditions. As opposed to prior datasets that made use of synthetically generated images or indoor images with unrealistic parameters for haze simulation, our outdoor dataset allows for more realistic simulation of haze with parameters that are physically realistic and justified by scattering theory. HazeRD was proposed and described in the paper:Yanfu Zhang, Li Ding, and Gaurav Sharma, “Hazerd: an outdoor scene dataset and benchmark for Single image dehazing,” in IEEE Intl. Conf. Image Proc. (ICIP), Sept 2017, pp. 3205–3209.
DOI: 10.21227/jrgp-sr34
title: HazeRD: An Outdoor Scene Dataset and Benchmark for Single Image Dehazing

description: We proposed a new dataset, HazeRD, for benchmarking dehazing algorithms under realistic haze conditions. As opposed to prior datasets that made use of synthetically generated images or indoor images with unrealistic parameters for haze simulation, our outdoor dataset allows for more realistic simulation of haze with parameters that are physically realistic and justified by scattering theory. HazeRD was proposed and described in the paper:Yanfu Zhang, Li Ding, and Gaurav Sharma, “Hazerd: an outdoor scene dataset and benchmark for Single image dehazing,” in IEEE Intl. Conf. Image Proc. (ICIP), Sept 2017, pp. 3205–3209.
DOI: 10.21227/wy7n-4a71
title: Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

description: Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper, departing from these methods, we propose a data-driven ensemble method to detect drug sites from remote sensing images. Our method comprises different Convolutional Neural Network architectures applied to distinct image representations, which are able to represent complementary characterizations of such crops. To validate the proposed approach, we considered in ourexperiments a dataset containing Cannabis Sativa crops, spottedby police operations in a Brazilian region called the Marijuana Polygon. Results in this dataset show that our ensemble approach outperforms other data-driven and feature-engineering methods in a real-world experimental setup, in which unbalanced samples are present and acquisitions from different places are used fortraining and testing the methods, highlighting the promising useof this solution to aid police operations in detecting and collectingevidence of such sensitive content properly.
DOI: 10.5281/zenodo.3237613
title: Climate perception of pastoralists in Kunene Region, Namibia

description: The files include demographic data of all participants, as well as quantitative data used to create graphs and tables, provided in excel files.  All qualitative data were analysed with NVIVO software and the files attached are nodes containing different information from participants.  All the interview questions are also included as interview files.
DOI: 10.5281/zenodo.3237614
title: Climate perception of pastoralists in Kunene Region, Namibia

description: The files include demographic data of all participants, as well as quantitative data used to create graphs and tables, provided in excel files.  All qualitative data were analysed with NVIVO software and the files attached are nodes containing different information from participants.  All the interview questions are also included as interview files.