cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19350887
title: Snag Canyon (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Snag Canyon fire in Washington 2014.
DOI: 10.6084/m9.figshare.19350878
title: Johnson Bar (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Johnson Bar fire in Idaho 2014.
DOI: 10.6084/m9.figshare.19350878.v1
title: Johnson Bar (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Johnson Bar fire in Idaho 2014.
DOI: 10.6084/m9.figshare.19350872
title: Happy Camp Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Happy Camp Complex in California 2014.
DOI: 10.6084/m9.figshare.19350872.v1
title: Happy Camp Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Happy Camp Complex in California 2014.
DOI: 10.6084/m9.figshare.19350845.v1
title: French (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the French fire in California 2014.
DOI: 10.6084/m9.figshare.19350845
title: French (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the French fire in California 2014.
DOI: 10.6084/m9.figshare.19350812
title: Eiler (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Eiler fire in California 2014.
DOI: 10.6084/m9.figshare.19350812.v1
title: Eiler (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Eiler fire in California 2014.
DOI: 10.6084/m9.figshare.19350809
title: Devils Elbox Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Devils Elbow Complex in Washington 2014.
DOI: 10.6084/m9.figshare.19350809.v1
title: Devils Elbox Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Devils Elbow Complex in Washington 2014.
DOI: 10.15468/hjywex
title: Plasm bearing foraminifera counts of multinet POS231/3_MSN1332
DOI: 10.15468/33pqcf
title: Plasm bearing foraminifera counts of multinet POS231/3_MSN1333
DOI: 10.15468/xwefhv
title: Plasm bearing foraminifera counts of multinet M12/3_MSN536
DOI: 10.15468/yp42ye
title: Plasm bearing foraminifera counts of multinet POS231/3_MSN1334
DOI: 10.15468/6tfca3
title: Plasm bearing foraminifera counts of multinet M12/3_MSN545
DOI: 10.15468/x7k36t
title: Plasm bearing foraminifera counts of multinet M12/3_MSN543
DOI: 10.15468/zmztba
title: Plasm bearing foraminifera counts of multinet M12/3_MSN547
DOI: 10.15468/f6z69y
title: Plasm bearing foraminifera counts of multinet M12/3_MSN535
DOI: 10.15468/kea8kj
title: Plasm bearing foraminifera counts of multinet M12/3_MSN533
DOI: 10.15468/skywdu
title: Plasm bearing foraminifera counts of multinet M12/3_MSN541
DOI: 10.15468/9g4uuc
title: Plasm bearing foraminifera counts of multinet M12/3_MSN538
DOI: 10.15468/hnrjd3
title: Assemblage of living benthic foraminifera in sediment core SO129_MC-14, 30-63 µm fraction
DOI: 10.15468/v9gctv
title: Living benthic foraminifera at station M33/1_MC-25 (EAST), size fraction 30-63 µm
DOI: 10.6084/m9.figshare.19350806
title: Carlton Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Carlton Complex in Washington 2014.
DOI: 10.6084/m9.figshare.19350806.v1
title: Carlton Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Carlton Complex in Washington 2014.
DOI: 10.6084/m9.figshare.19350803.v1
title: Buzzard Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Buzzard Complex in Oregon 2014.
DOI: 10.6084/m9.figshare.19350803
title: Buzzard Complex (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Buzzard Complex in Oregon 2014.
DOI: 10.6084/m9.figshare.19350791
title: Big Cougar (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Big Cougar fire in Idaho 2014.
DOI: 10.6084/m9.figshare.19350791.v1
title: Big Cougar (2014) wildfire growth curve reconstruction using nonconstant growth model

description: See project description for general summary of data structure. The attached file is table reporting the estimates of the posterior daily wildfire size time series for the Big Cougar fire in Idaho 2014.
DOI: 10.3886/e113119v1-112140
title: Replication data for: The Market for Used Capital: Endogenous Irreversibility and Reallocation over the Business Cycle

description: This paper studies the business-cycle dynamics of secondary markets for physical capital and their effects on the macroeconomy. In the data, both capital reallocation and the price of used capital are procyclical. To rationalize these facts, I propose a model with endogenous partial irreversibility, where used investment goods are imperfect substitutes for new ones because of firm-level capital specificity. Equilibrium dynamics in the market for used capital induce countercyclical dispersion of marginal products of capital, propagate movements in aggregate TFP and provide a microfoundation for state-dependent non-convex capital adjustment costs.
DOI: 10.5517/ccdc.csd.cc29ktd3
title: CCDC 2132285: Experimental Crystal Structure Determination

description: Related Article: Koki Horii, Ryohei Kishi, Masayoshi Nakano, Daisuke Shiomi, Kazunobu Sato, Takeji Takui, Akihito Konishi, Makoto Yasuda|2022|J.Am.Chem.Soc.|144|3370|doi:10.1021/jacs.2c00476
DOI: 10.5517/ccdc.csd.cc29ktf4
title: CCDC 2132286: Experimental Crystal Structure Determination

description: Related Article: Koki Horii, Ryohei Kishi, Masayoshi Nakano, Daisuke Shiomi, Kazunobu Sato, Takeji Takui, Akihito Konishi, Makoto Yasuda|2022|J.Am.Chem.Soc.|144|3370|doi:10.1021/jacs.2c00476
DOI: 10.5517/ccdc.csd.cc29f12w
title: CCDC 2127687: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc29f13x
title: CCDC 2127688: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc287781
title: CCDC 2092322: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc29f14y
title: CCDC 2127689: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc29f160
title: CCDC 2127691: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc29f171
title: CCDC 2127692: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc29f15z
title: CCDC 2127690: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Olga A. Kushnerova, Roman V. Rumyantsev, Alexander S. Novikov, Vladimir K. Osmanov, Igor L. Fedushkin|2022|Dalton Trans.|51|4113|doi:10.1039/D1DT04366H
DOI: 10.5517/ccdc.csd.cc298qr2
title: CCDC 2123554: Experimental Crystal Structure Determination

description: Related Article: Yan-Ping Jiao, Hao-Yu Shi, Wen-Yan Zhou, Ai-Quan Jia, Hua-Tian Shi, Qian-Feng Zhang|2022|J.Mol.Struct.|1259|132695|doi:10.1016/j.molstruc.2022.132695
DOI: 10.5517/ccdc.csd.cc2b75kb
title: CCDC 2151851: Experimental Crystal Structure Determination

description: Related Article: Viktoria Gramakov, Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc1yscy1
title: CCDC 1810894: Experimental Crystal Structure Determination

description: Related Article: A. Peña Hueso, A. Esparza Ruiz, A. Flores Parra|2022|IUCrData|7|x220172|doi:10.1107/S2414314622001729
DOI: 10.5517/ccdc.csd.cc2b7jjn
title: CCDC 2152191: Experimental Crystal Structure Determination

description: Related Article: K.A. Asadov, V.N. Khrustalev, E.V. Dobrokhotova, M. Akkurt, A.T. Huseynova, A.A. Akobirshoeva, E.Z. Huseynov|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|330|doi:10.1107/S205698902200175X
DOI: 10.34740/kaggle/dsv/3290292
title: Vietnam Ops
DOI: 10.6084/m9.figshare.19350944
title: Experiment data of silty seabed liquefaction and its impact on sediment resuspension by random waves

description: Attached is the dataset of experiment data of a manuscript entitled “Experimental study on silty seabed liquefaction and its impact on sediment resuspension by random waves” submitted to Journal of Marine Science and Engineering.
DOI: 10.6084/m9.figshare.19350944.v1
title: Experiment data of silty seabed liquefaction and its impact on sediment resuspension by random waves

description: Attached is the dataset of experiment data of a manuscript entitled “Experimental study on silty seabed liquefaction and its impact on sediment resuspension by random waves” submitted to Journal of Marine Science and Engineering.
DOI: 10.34740/kaggle/dsv/3290663
title: NBA Players According To RAPTOR
DOI: 10.5281/zenodo.6349642
title: Iodosphaeria phyllophila decontam FSCR

description: .
DOI: 10.5281/zenodo.6349641
title: Iodosphaeria phyllophila decontam FSCR

description: .
DOI: 10.5517/ccdc.csd.cc2b7n9k
title: CCDC 2152308: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, J.A. McGinnety, M. Thornton-Pett|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b7nbl
title: CCDC 2152309: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, T.D. McGrath|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b7ncm
title: CCDC 2152310: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, T.D. McGrath|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b7ndn
title: CCDC 2152311: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, T.D. McGrath|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b7v1h
title: CCDC 2152486: Experimental Crystal Structure Determination

description: Related Article: Viktoria Gramakov, Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b7y4p
title: CCDC 2152582: Experimental Crystal Structure Determination

description: Related Article: C.J. Pintro, A.K. Long, A.J. Amonette, J.M. Lobue, C.W. Padgett|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|336|doi:10.1107/S2056989022001827
DOI: 10.5517/ccdc.csd.cc2b7y5q
title: CCDC 2152583: Experimental Crystal Structure Determination

description: Related Article: C.J. Pintro, A.K. Long, A.J. Amonette, J.M. Lobue, C.W. Padgett|2022|Acta Crystallogr.,Sect.E:Cryst.Commun.|78|336|doi:10.1107/S2056989022001827
DOI: 10.5517/ccdc.csd.cc2b04zh
title: CCDC 2145106: Experimental Crystal Structure Determination

description: Related Article: E. Chachlaki, D. Choquesillo-Lazarte, K.D. Demadis|2022|IUCrData|7|x220189|doi:10.1107/S2414314622001894
DOI: 10.5517/ccdc.csd.cc2b83xn
title: CCDC 2152761: Experimental Crystal Structure Determination

description: Related Article: Viktoria Gramakov, Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27s98m
title: CCDC 2078930: Experimental Crystal Structure Determination

description: Related Article: wen dai|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8d34
title: CCDC 2153015: Experimental Crystal Structure Determination

description: Related Article: Viktoria Gramakov, Michael Bolte|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8h59
title: CCDC 2153110: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8h6b
title: CCDC 2153111: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8h8d
title: CCDC 2153113: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8h9f
title: CCDC 2153114: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8hbg
title: CCDC 2153115: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.G.S. Londesborough|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc295nbh
title: CCDC 2120596: Experimental Crystal Structure Determination

description: Related Article: Xiaoming He|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28wnlf
title: CCDC 2111955: Experimental Crystal Structure Determination

description: Related Article: Sanjay  Kumar|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8rlz
title: CCDC 2153371: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, Z. Yuan|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b91rg
title: CCDC 2153655: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, Z. Yuan|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8rm0
title: CCDC 2153372: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, Z. Yuan|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2b8rn1
title: CCDC 2153373: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, Z. Yuan|2022|CSD Communication|||
DOI: 10.5063/f1zk5f42
title: Mapping the spatial distribution of global mariculture production

description: This dataset contains data to reproduce the results and figures published in Clawson et al. 2022, Mapping the spatial distribution of global mariculture production.article doi: https://doi.org/10.1016/j.aquaculture.2022.738066Publication abstract:Mariculture (marine and brackish water aquaculture) has grown rapidly over the past 20 years, yet publicly available information on the location of mariculture production is sparse. Identifying where mariculture production occurs remains a major challenge for understanding its environmental impacts and the sustainability of individual farms and the sector as a whole. We compiled known mariculture locations and applied a simple production-allocation approach to map remaining global mariculture locations across 73 countries using the key determinants of distance to shore and ports, and average productivity (tonnage) of known farms. Our map represents 96% of reported fish and invertebrate mariculture production for 2017, but excludes algae which constitutes half of global mariculture production. We provide, for the first time, a publicly available spatial database of known and estimated mariculture locations. We discuss the utility and limitations of the existing data and our modeling approach, and highlight the key data gaps and future challenges for mapping aquaculture. Our results provide a vital resource for mariculture and environmental researchers, but we emphasize the need for a standardized, ground-truthed global spatial database of aquaculture locations and farm-level attributes (e.g., species, production type) to better understand the distribution of production and adequately plan for future growth.
DOI: 10.6084/m9.figshare.19350977
title: database 1: Illumina rawdata of ITS

description: ITS sequences
DOI: 10.6084/m9.figshare.19350977.v2
title: database 1: Illumina rawdata of ITS

description: ITS sequences
DOI: 10.6084/m9.figshare.19350977.v1
title: Illumina rawdata of ITS

description: ITS sequences
DOI: 10.6084/m9.figshare.19351098
title: Additional file 2 of Tumorigenic circulating tumor cells from xenograft mouse models of non-metastatic NSCLC patients reveal distinct single cell heterogeneity and drug responses

description: Additional file 2. Differentially expressed genes and cell type canonical markers.
DOI: 10.6084/m9.figshare.19351104
title: Additional file 3 of Tumorigenic circulating tumor cells from xenograft mouse models of non-metastatic NSCLC patients reveal distinct single cell heterogeneity and drug responses

description: Additional file 3: Supplementary Table 1. Clinicopathological information and survival status of the NSCLC patients enrolled for ptPDX (N = 10) and CDX (N = 2) model development. Supplementary Table 2. Total counts of ptPDX individual CTCs and CTC clusters that were detected at the time of injection to naïve NSG mice to develop CDX models.
DOI: 10.6084/m9.figshare.19351098.v1
title: Additional file 2 of Tumorigenic circulating tumor cells from xenograft mouse models of non-metastatic NSCLC patients reveal distinct single cell heterogeneity and drug responses

description: Additional file 2. Differentially expressed genes and cell type canonical markers.
DOI: 10.6084/m9.figshare.19351104.v1
title: Additional file 3 of Tumorigenic circulating tumor cells from xenograft mouse models of non-metastatic NSCLC patients reveal distinct single cell heterogeneity and drug responses

description: Additional file 3: Supplementary Table 1. Clinicopathological information and survival status of the NSCLC patients enrolled for ptPDX (N = 10) and CDX (N = 2) model development. Supplementary Table 2. Total counts of ptPDX individual CTCs and CTC clusters that were detected at the time of injection to naïve NSG mice to develop CDX models.
DOI: 10.6084/m9.figshare.19351122
title: Additional file 2 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 2: Table S1. Homologous genes between M. Tuberculosis and E. Coli after homology search through BLAST.
DOI: 10.6084/m9.figshare.19351122.v1
title: Additional file 2 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 2: Table S1. Homologous genes between M. Tuberculosis and E. Coli after homology search through BLAST.
DOI: 10.6084/m9.figshare.19351125
title: Additional file 3 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 3: Table S2. Annotation of the M. Tuberculosis genes and clusters. M. tuberculosis genes are represented by gene symbols and the protein RefSeq ID and COG category eggNOG.
DOI: 10.6084/m9.figshare.19351125.v1
title: Additional file 3 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 3: Table S2. Annotation of the M. Tuberculosis genes and clusters. M. tuberculosis genes are represented by gene symbols and the protein RefSeq ID and COG category eggNOG.
DOI: 10.6084/m9.figshare.19351128
title: Additional file 4 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 4: Table S6. Ground truth and prediction of curated M. Tuberculosis inhibitors.
DOI: 10.6084/m9.figshare.19351128.v1
title: Additional file 4 of Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

description: Additional file 4: Table S6. Ground truth and prediction of curated M. Tuberculosis inhibitors.
DOI: 10.6084/m9.figshare.19351076
title: Additional file 10 of The expanded inhibitor of apoptosis gene family in oysters possesses novel domain architectures and may play diverse roles in apoptosis following immune challenge

description: Additional file 10: Supplementary Table 10: C. virginica and C. gigas transcriptome experiment DESeq2 analysis data. Metadata regarding experimental conditions for each transcriptome sample and how comparisons were designed during DESeq2 analysis to measure differential gene expression. (XLS 78 kb)
DOI: 10.6084/m9.figshare.19351076.v1
title: Additional file 10 of The expanded inhibitor of apoptosis gene family in oysters possesses novel domain architectures and may play diverse roles in apoptosis following immune challenge

description: Additional file 10: Supplementary Table 10: C. virginica and C. gigas transcriptome experiment DESeq2 analysis data. Metadata regarding experimental conditions for each transcriptome sample and how comparisons were designed during DESeq2 analysis to measure differential gene expression. (XLS 78 kb)