cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1410823
title: Rpsc Reference Database For Xander

description: Reference gene database (<em>rpsC</em>) for Xander (https://github.com/rdpstaff/Xander_assembler).
DOI: 10.5517/ccdc.csd.cc1z454f
title: CCDC 1821254: Experimental Crystal Structure Determination

description: Related Article: Guang-Hui Huang,  Zhu Hu,  Chun Lei,  Pei-Pei Wang,  Jing Yang,  Jing-Ya Li,  Jia Li,  and Ai-Jun Hou|2018|J.Nat.Prod.|81|1810|doi:10.1021/acs.jnatprod.8b00273
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.cc1z45dp
title: CCDC 1821262: Experimental Crystal Structure Determination

description: Related Article: Guang-Hui Huang,  Zhu Hu,  Chun Lei,  Pei-Pei Wang,  Jing Yang,  Jing-Ya Li,  Jia Li,  and Ai-Jun Hou|2018|J.Nat.Prod.|81|1810|doi:10.1021/acs.jnatprod.8b00273
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.cc1z5mrj
title: CCDC 1822668: Experimental Crystal Structure Determination

description: Related Article: Wei Bai,  Hong-Ying Yang,  Xing-Zhi Jiao,  Ke-Na Feng,  Jian-Jun Chen,  and Kun Gao|2018|J.Nat.Prod.|81|1777|doi:10.1021/acs.jnatprod.8b00208
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.cc1z66cr
title: CCDC 1823214: Experimental Crystal Structure Determination

description: Related Article: Junlong Chen, Penghao Jia, You Huang|2018|Org.Lett.|20|6715|doi:10.1021/acs.orglett.8b02810
description: Related Article: junlong chen|2018|CSD Communication|||
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.cc1z66ft
title: CCDC 1823216: Experimental Crystal Structure Determination

description: Related Article: Junlong Chen, Penghao Jia, You Huang|2018|Org.Lett.|20|6715|doi:10.1021/acs.orglett.8b02810
description: Related Article: junlong chen|2018|CSD Communication|||
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: 10.5287/bodleian:pzrro5krj
title: Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

description: Background. Clinically approved antidepressants modulate the brain’s emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that these modulations can be reliably detected.  Here, we apply a cross-validated predictive model to classify emotional valence and pharmacologic effect across eleven task-based fMRI datasets (n=306) exploring the effect of antidepressant administration on emotional face processing.  
Methods. We created subject-level contrast of parameter estimates of the emotional faces task and used the Shen whole-brain parcellation scheme to define 268 subject-level features that trained a cross-validated gradient-boosting machine protocol to classify emotional valence (fearful vs happy face visual conditions) and pharmacologic effect (drug vs placebo administration) within and across studies. 
Results. We found patterns of brain activity that classify emotional valence with a statistically significant level of accuracy (70% across-all-subjects; range from 50-87% across-study).  Our classifier failed to consistently discriminate drug from placebo.  Subject population (healthy or unhealthy), treatment group (drug or placebo), and drug administration protocol (dose and duration) affected this accuracy with similar populations better predicting one another.
Conclusions. We found limited evidence that antidepressants modulated brain response in a consistent manner, however found a consistent signature for emotional valence. Variable functional patterns across studies suggest that predictive modeling can inform biomarker development in mental health and in pharmacotherapy development.  Our results suggest that case-controlled designs and more standardized protocols are required for functional imaging to provide robust biomarkers for drug development.
DOI: 10.21220/rb78-k115
title: A Model Archive for a Coupled Hydrodynamic-Sediment Transport-Biogeochemistry Model for the Northern Gulf of Mexico, USA
DOI: 10.5281/zenodo.1410496
title: Datasets Of Vascular Networks Extracted From Retinal Images Of Hypertensive Retinopathy And Glaucoma Patients

description: This dataset contains high resolution images of blood vessels extracted  from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). It contains 110 blood vessels of individuals of which 23.1% are patients with chronic glaucoma while the remaining 76.9% are hypertensive retinopathy patients.
DOI: 10.5281/zenodo.1410497
title: Datasets Of Vascular Networks Extracted From Retinal Images Of Hypertensive Retinopathy And Glaucoma Patients

description: This dataset contains high resolution images of blood vessels extracted  from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). It contains 110 blood vessels of individuals of which 23.1% are patients with chronic glaucoma while the remaining 76.9% are hypertensive retinopathy patients.
DOI: 10.17909/t9-bspb-b780
title: Revised Kepler Stellar and Exoplanet Properties from GaiaDR2 ("KG-RADII")

description: KG-RADII provides revised stellar and exoplanet properties from the Kepler mission based on parallaxes from Gaia Data Release 2. These catalogs provide more precise stellar sizes and evolutionary states for 177,911 Kepler stars, as well as revised radii and incident fluxes for 2123 confirmed and 1922 candidate exoplanets.
DOI: 10.5281/zenodo.1410512
title: Data-driven brain network models differentiate variability across language tasks

description: Data and script associated with the manuscript titled "Data-driven brain network models differentiate variability<br>
across language tasks".
DOI: 10.5281/zenodo.1410513
title: Data-Driven Brain Network Models Differentiate Variability Across Language Tasks

description: Test
DOI: 10.13016/m2zc7rz0f
title: Data from: Transformation from auditory to linguistic representations across auditory cortex is rapid and attention dependent for continuous speech

description: Magnetoencephalography (MEG) research study dataset
description: Magnetoencephalography (MEG) data and predictor variables from the article titled: Transformation from auditory to linguistic representations across auditory cortex is rapid and attention dependent for continuous speech
DOI: 10.25549/sal-c78-23
title: Ruben Salazar with Robert Kennedy, Los Angeles, CA, 1960

description: Photograph of Ruben Salazar interviewing Robert Kennedy, campaign manager for his brother, John F. Kennedy's first presidential campaign, for the Los Angeles Times, at either the Los Angeles International Airport or at the Los Angeels Memorial Sports Arena, Los Angeles, California, 1960 July. Frank Sinatra can been seen wearing a hat in the background.
DOI: 10.5281/zenodo.1409748
title: Example Data For Absnf

description: Example data for abSNF: A boosted similarity network fusion (ab-SNF) method, adding feature-level association signal annotations as weights aiming to up-weight signal features and down-weight noise features when constructing subject similarity networks to improve the performance in disease subtyping. (https://github.com/pfruan/abSNF)
DOI: 10.5281/zenodo.1409749
title: Example Data For Absnf

description: Example data for abSNF: A boosted similarity network fusion (ab-SNF) method, adding feature-level association signal annotations as weights aiming to up-weight signal features and down-weight noise features when constructing subject similarity networks to improve the performance in disease subtyping. (https://github.com/pfruan/abSNF)
DOI: 10.25549/sal-c78-14
title: Ruben Salazar with former President Eisenhower, San Bernardino, CA, 1961

description: Photgoraph of Ruben Salazar (center), reporter for the LA Times, interviews former President Eisenhower (left), surrounded by other reporters at the train station in San Bernardino, California, 1961 April 15."Los Angeles Times, April 14, Ike Press Confab, Olender, Salazar, Eisenhower talks to newsmen at trainside press in San Bernardino tonight."--attached to back of photograph. "Ben Olender, Los Angeles Times Staff Photographer"-- Stamped note on back of photograph.
DOI: 10.25549/sal-c78-2
title: Ruben Salazar with mother and sister, El Paso, TX, 1929

description: Photograph of a young Ruben Salazar (nearly one year old) with Luz Salazar Chavez (his mother) and Luz Salazar (his sister), El Paso, Texas, 1929 February 15. This photograph was taken for their individual immigrant identification cards. "Kodak-names" -- on front of photograph.
DOI: 10.25549/sal-c78-20
title: Ruben Salazar, US Army Base, Saigon, Vietnam, 1965

description: Picture postcard of Ruben Salazar at the US Army Base located in Saigon, Vietnam, 1965.
DOI: 10.25549/sal-c78-26
title: Ruben Salazar, Los Angeles Times employee photograph, Los Angeles, CA, 1959

description: Photograph of Ruben Salazar used for press passes, Los Angeles, California, 1959. "… have more viewers than George Putnam or Tom Reddin and almost as many as KABC's Eyewitness News, it is not that well known except among Spanish-speaking Angelenos. The first time I heard of KMEX was some eight years aog when a man came to my home and installed a UHF converter on my TV set so I could write an occasional article about the station's programs in The Times. From time to time I wrote a piece and then lost interest. Ruben Salazar. Fri May 8 1970" -- clipping glued to back. "By Ruben Sa... Travel writer Stan Delaplane once cautioned Americans that the thing to remember about our neighbors to the south is that 'Mexico is not the United States.' Its a good thing to remember, especially if you're an American reporter in Mexico as I was for the past two years. Newsmen in..." -- clipping glued to back. "...George...City bureau...to the Buenos...cessor in Mexico...zar... , formerly as...news bureau. The Times...American bureauy in Rio...headed by Francis B. Kent. Natanson. 44 joined The Times." -- clipping glued to back.
DOI: 10.25549/sal-c78-29
title: Ruben Salazar with Vice President Richard Nixon and Ernest E. Debs, Los Angeles County Board of Supervisors, Los Angeles, CA, 1960

description: Photograph of Ruben Salazar, reporter for the Los Angeles Times (left) interviewing Vice President Richard Nixon (center), along with a third person who may be Ernest E. Debs, a member of the Los Angeles County Board of Supervisors at the Los Angeles International Airport, Los Angeles, California, 1960 August 2.
DOI: 10.25549/sal-c78-35
title: Ruben Salazar and Ernest E. Debs, Los Angeles Board of Supervisors, Los Angeles, CA, ca. 1963

description: Photograph of Ruben Salazar being presented with an award by Ernest E. Debs, Los Angeles Board of Supervisors. Salazar possibly received this award for his six-part series on the Mexican-American community in Los Angeles, which appeard in the Los Angeles Times in Spring, 1963. Los Angeles, California, ca. 1963.
DOI: 10.25549/sal-c78-38
title: Ruben Salazar with El Ángel (Angel of Independence) statue, Mexico City, 1966-1968

description: Color photograph of Ruben Salazar in Mexico City on the Paseo de la Reforma, a major thoroughfare in Mexico City. The statue officially known as Monumento a la Independencia (Monument to Independence) or more commonly referred to as El Ángel is a victory column found along this street. "Ruben Salazar Photo: 1-31: Salazar"-- printed on back of photograph.
DOI: 10.25549/sal-c78-5
title: Ruben Salazar at home, El Paso, TX, ca. 1950s

description: Photograph of Ruben Salazar in front of a Christmas tree at his home in El Paso, Texas around 1950.
DOI: 10.25549/sal-c78-11
title: Ruben Salazar, El Paso, TX, 1955

description: Photograph of Ruben Salazar seated at a typewriter working as a reporter at El Paso Herald-Post, El Paso, Texas, 1955 May 9. This was his first job after graduating from college in 1954. "1953" -- on back of photograph.
DOI: 10.25549/sal-c78-17
title: Ruben Salazar in Zocalo, the Plaza de la Constitucion (Constitution Square) in Mexico City, 1966-1968

description: Photograph of Ruben Salazar in the Zocalo, or the main square in Mexico City, formally named Plaza de la Constitucion (Constitution Square). Catedral Metropolitana de la Asuncion de la Santisima Virgen Maria a los cielos (Mexico City Cathedral) is pictured in the background, Mexico City, Mexico, sometime around 1966-1968." Ruben Salazar"--on back of photograph.
DOI: 10.25549/sal-c78-32
title: Ruben Salazar in Zocalo, the Plaza de la Constitucion (Constitution Square) in Mexico City, ca. 1967

description: Photograph of Ruben Salazar in the Zocalo, or the main square in Mexico City, formally named Plaza de la Constitucion (Constitution Square). Catedral Metropolitana de la Asuncion de la Santisima Virgen Maria a los cielos (Mexico City Cathedral) along with the Tabernacle to the right of the cathedral are pictured in the background, Mexico City, Mexico, ca. 1967.
DOI: 10.25549/sal-c78-41
title: Ruben Salazar and wife Sally greet Chandlers at Mexico City Airport, Mexico City, ca. 1968

description: Photograph of Ruben Salazar and wife Sally greeting the Chandlers. (Left to right) Otis Chandler, publisher of the Los Angeles Times 1960-1980, Sally Salazar (wife of Ruben Salazar), Ruben Salazar, Marilyn "Missy" Chandler (wife of Otis Chandler), Aeropuerto International Benito Jaurez (Benito Juarez International Airport), Mexico City, Mexico, ca. 1968.
DOI: 10.25549/sal-c78-44
title: Ruben Salazar and his family at the Los Angeles Zoo, Los Angeles, CA, ca. 1963

description: Photograph of Ruben Salazar, Sally Salazar (his wife), Lisa Salazar, and Stephanie Salazar (his daughters) on Press Day at the Los Angeles Zoo, Los Angeles, California, ca. 1963.
DOI: 10.25549/sal-c78-8
title: Ruben Salazar, Texas Western College (now University of Texas), El Paso, TX, 1954

description: Photograph of Ruben Salazar taken on the 39th annual commencement for Texas Western College (now the University of Texas at El Paso), 1054 May 30.
DOI: 10.5281/zenodo.1403170
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: pDSSAT wheat

description: This is model output from pDSSAT for wheat as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403175
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: pDSSAT sorghum

description: This is model output from pDSSAT for sorghum as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5517/ccdc.csd.cc1z7hf4
title: CCDC 1824456: Experimental Crystal Structure Determination

description: Related Article: Thao T. Tran, Michael A. Quintero, Kathryn E. Arpino, Zachary A. Kelly, Jessica R. Panella, Xiaoping Wang, Tyrel M. McQueen|2018|CrystEngComm|20|5929|doi:10.1039/C8CE00702K
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: 10.5281/zenodo.1403172
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: pDSSAT soy

description: This is model output from pDSSAT for soy as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8
DOI: 10.5281/zenodo.1403174
title: AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: pDSSAT sorghum

description: This is model output from pDSSAT for sorghum as part of AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set.

The data have been generated following the modeling protocol of Elliott et al. (2015) and has been used to evaluate the models (Müller et al., 2017). A data description paper has been published in Scientific Data (Müller et al. 2019).

References:

Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J. 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015

Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017

Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8