cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19887133.v7
title: Comprehensive investigation on marine-derived halocarbons in the coastal and open ocean of western Pacific Ocean: sources, emissions, and environmental effects

description: In order to discuss the differences in concentrations, production rates, emissions, and sources of volatile halocarbons (VHCs) in the ECS, SCS, and western Pacific Ocean are discussed, along with the differences in the contributions of coastal seas and open oceans to global halogen budgets. We made simultaneous measurements of seawater and atmospheric concentrations of VHCs during cruises in the East China Sea (ECS), South China Sea (SCS), and Western Pacific Ocean from 2017-2020. This dataset contains the original data of Chl-<em>a</em> and VHCs concentrations in the se<em>a</em>water and atmosphere of the ECS, SCS, and western Pacific Ocean during the period of 2017–2020.
DOI: 10.26186/147196
title: Exploring for the Future geomechanical testing program data release, NDI Carrara 1, Carrara Sub-basin, Australia

description: NDI Carrara 1 is a deep stratigraphic borehole that was drilled in 2020 under the MinEx CRC’s National Drilling Initiative (NDI) program in collaboration with Geoscience Australia and the Northern Territory Geological Survey. NDI Carrara 1 is the first stratigraphic test of the recently described Carrara Sub-basin, a Proterozoic aged depocentre located in the South Nicholson region of northwest Queensland and the Northern Territory. The borehole was drilled to a total depth of 1751 m and penetrated a succession of Cambrian aged Georgina Basin carbonate and siliciclastic rocks that unconformably overly a thick succession of Proterozoic age siliciclastic and carbonate-rich sediments. Although drilled on the western flank of the Carrara Sub-basin, NDI Carrara 1 did not penetrate to basement. Interpretation of the L210 deep-crustal seismic survey suggests that further Proterozoic sedimentary packages known from the northern Lawn Hill Platform in northwest Queensland are likely to be found underlying the succession intersected in NDI Carrara 1. The borehole was continuously cored from 283 m to total depth, and an extensive suite of wireline logs was acquired. Geoscience Australia and partners have undertaken an extensive analytical program to understand the depositional, structural, and diagenetic history of the sediments intersected in NDI Carrara 1. This program includes a targeted geomechanical study that aims to characterise the physical properties of these Proterozoic rocks through laboratory analysis of core samples, the results of which are summarised in this data release.<br>This data release provides data from new unconfined compressive strength (UCS), single-stage triaxial testing, and laboratory ultrasonic testing for 36 sample plugs from NDI Carrara 1. These tests were performed at the CSIRO Geomechanics and Geophysics Laboratory in Perth, during January to June 2022. The full results as provided by CSIRO to Geoscience Australia are provided as an attachment to this document.
DOI: 10.5281/zenodo.7187379
title: Data for "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation"

description: Data for the manuscript "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation" by Tao et al.
DOI: 10.5281/zenodo.7187378
title: Data for "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation"

description: Data for the manuscript "Kinetic limitations affect cloud condensation nuclei activity measurements under low supersaturation" by Tao et al.
DOI: 10.5281/zenodo.7187381
title: Dataset for paper "Solutions to global agricultural green water scarcity under climate change"

description: These are datasets used to generate figures of paper "Solutions to global agricultural green water scarcity under climate change". (1) fig1_GWS_Baseline, fig1_GWS_1.5C and fig1_GWS_1.5C are NetCDF files reporting agricultural green water scarcity (GWS) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warmer climates, respectively. (2) fig2_num_of_month_Baseline, fig2_num_of_month_1.5C and fig2_num_of_month_3C are NetCDF files reporting the number of months that each grid cell faces GWS (with threshold 0.2) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warming climates, respectively. fig2_data_Baseline, fig2_data_1.5C and fig2_data_3C are csv files reporting the countries with the highest exposure to GWS and number of months under Baseline, 1.5 °C and 3 °C warmer climates, respectively. (3) fig3_data_01, fig3_data_02 and fig3_data_03 are csv files reporting the area of rain-fed croplands facing agricultural GWS in each month under GWS thresholds 0.1, 0.2 and 0.3, respectively. (4) fig4_data is the csv file reporting the number of people impacted by crop production loss induced by GWS under Baseline, 1.5 °C and 3 °C warmer climates with GWS thresholds of 0.1, 0.2 and 0.3. (5) fig5_Baseline, fig5_1.5C and fig5_3C are csv files reporting the reduction of area facing GWS and increased people fed due to green water management solutions with different evapotranspiration reduction and infiltration increase levels, under Baseline, 1.5 °C and 3 °C warmer climates, respectively. (6) fig6_data_area and fig6_data_population are csv files reporting reduced rain-fed croplands facing GWS and additional people fed from decreased GWS, respectively, with evapotranspiration reduction and infiltration increase levels as 0.2. (7) irrigation_fraction is the NetCDF file reporting the percent of irrigated cropland in each grid cell. We use it as a mask to exclude croplands with larger than 5% irrigation. It is calculated based on "Mehta, P. <em>et al.</em> Majority of 21st century global irrigation expansion has been in water stressed regions. (2022)."
description: Please contact Liyin He (lhe@carnegiescience.edu) or Lorenzo Rosa (lrosa@carnegiescience.edu) for more details.
DOI: 10.5281/zenodo.7187380
title: Dataset for paper "Solutions to global agricultural green water scarcity under climate change"

description: These are datasets used to generate figures of paper "Solutions to global agricultural green water scarcity under climate change". (1) fig1_GWS_Baseline, fig1_GWS_1.5C and fig1_GWS_1.5C are NetCDF files reporting agricultural green water scarcity (GWS) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warmer climates, respectively. (2) fig2_num_of_month_Baseline, fig2_num_of_month_1.5C and fig2_num_of_month_3C are NetCDF files reporting the number of months that each grid cell faces GWS (with threshold 0.2) under Baseline climate conditions (1996-2005 period), 1.5°C and 3°C warming climates, respectively. fig2_data_Baseline, fig2_data_1.5C and fig2_data_3C are csv files reporting the countries with the highest exposure to GWS and number of months under Baseline, 1.5 °C and 3 °C warmer climates, respectively. (3) fig3_data_01, fig3_data_02 and fig3_data_03 are csv files reporting the area of rain-fed croplands facing agricultural GWS in each month under GWS thresholds 0.1, 0.2 and 0.3, respectively. (4) fig4_data is the csv file reporting the number of people impacted by crop production loss induced by GWS under Baseline, 1.5 °C and 3 °C warmer climates with GWS thresholds of 0.1, 0.2 and 0.3. (5) fig5_Baseline, fig5_1.5C and fig5_3C are csv files reporting the reduction of area facing GWS and increased people fed due to green water management solutions with different evapotranspiration reduction and infiltration increase levels, under Baseline, 1.5 °C and 3 °C warmer climates, respectively. (6) fig6_data_area and fig6_data_population are csv files reporting reduced rain-fed croplands facing GWS and additional people fed from decreased GWS, respectively, with evapotranspiration reduction and infiltration increase levels as 0.2. (7) irrigation_fraction is the NetCDF file reporting the percent of irrigated cropland in each grid cell. We use it as a mask to exclude croplands with larger than 5% irrigation. It is calculated based on "Mehta, P. <em>et al.</em> Majority of 21st century global irrigation expansion has been in water stressed regions. (2022)."
description: Please contact Liyin He (lhe@carnegiescience.edu) or Lorenzo Rosa (lrosa@carnegiescience.edu) for more details.
DOI: 10.6084/m9.figshare.21314022
title: Original data of sequence

description: Original data
DOI: 10.5439/1891608
title: cammawsgroundmovie (a1)

description: cammawsgroundmovie
DOI: 10.5439/1891610
title: camudsmovie (a1)

description: camudsmovie
DOI: 10.5439/1891611
title: camuds (a1)

description: camuds
DOI: 10.5439/1891612
title: camsrsmovie (a1)

description: camsrsmovie
DOI: 10.5439/1891613
title: camsrs (a1)

description: camsrs
DOI: 10.5439/1891614
title: camprecipmovie (a1)

description: camprecipmovie
DOI: 10.5439/1891615
title: camprecip (a1)

description: camprecip
DOI: 10.5439/1891616
title: camsonicwindspmf (a1)

description: camsonicwindspmf
DOI: 10.5439/1891617
title: camsonicwindspmfmovie (a1)

description: camsonicwindspmfmovie
DOI: 10.5281/zenodo.7187397
title: residue-residue distance data

description: data for pretraining PortalCG2.0
DOI: 10.5281/zenodo.7187396
title: residue-residue distance data

description: data for pretraining PortalCG2.0
DOI: 10.5281/zenodo.7187395
title: The dataset of Hong Kong Housing transaction records (1997-2018, after an incoming data quality processing)

description: These detailed housing transaction records of over 2 million property rights entries in Hong Kong's property markets over the past 23 years (1997 - 2018).
DOI: 10.5281/zenodo.7187394
title: The dataset of Hong Kong Housing transaction records (1997-2018, after an incoming data quality processing)

description: These detailed housing transaction records of over 2 million property rights entries in Hong Kong's property markets over the past 23 years (1997 - 2018).
DOI: 10.5517/ccdc.csd.cc2cly0y
title: CCDC 2192940: Experimental Crystal Structure Determination

description: Related Article: Guang-Lin Wang, Yue Lu, Run Wang, Devyani Srivastava, Abhinav Kumar, Hiroshi Sakiyama, Mohd. Muddassir, Jian Guo, Jun-Cheng Jin|2022|Polyhedron|227|116141|doi:10.1016/j.poly.2022.116141
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.cc2cwjph
title: CCDC 2201207: Experimental Crystal Structure Determination

description: Related Article: Dmitry A. Loginov, Fedor M. Dolgushin, Vitalii E. Konoplev, Maxim V. Tachaev|2022|Inorganics|10|158|doi:10.3390/inorganics10100158
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.cc2cwjqj
title: CCDC 2201208: Experimental Crystal Structure Determination

description: Related Article: Dmitry A. Loginov, Fedor M. Dolgushin, Vitalii E. Konoplev, Maxim V. Tachaev|2022|Inorganics|10|158|doi:10.3390/inorganics10100158
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.cc2clwnj
title: CCDC 2192898: Experimental Crystal Structure Determination

description: Related Article: Yuma Shigehiro, Karen Miya, Risa Shibai, Yasutaka Kataoka, Yasuyuki Ura|2022|Organometallics|41|2810|doi:10.1021/acs.organomet.2c00399
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.cc2cbg28
title: CCDC 2184789: Experimental Crystal Structure Determination

description: Related Article: Xiao-Feng Zhong, Guo-Jun Luo, Wen-Bin Li, Xiong-Hai Chen, Ying Wu, Yi-Hui Chen, Jia-Wen Ye, Jie Bai, Zong-Wen Mo, Xiao-Ming Chen|2022|Dalton Trans.|51|14852|doi:10.1039/D2DT02290G
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.cc2cbg17
title: CCDC 2184788: Experimental Crystal Structure Determination

description: Related Article: Xiao-Feng Zhong, Guo-Jun Luo, Wen-Bin Li, Xiong-Hai Chen, Ying Wu, Yi-Hui Chen, Jia-Wen Ye, Jie Bai, Zong-Wen Mo, Xiao-Ming Chen|2022|Dalton Trans.|51|14852|doi:10.1039/D2DT02290G
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.cc2cbg39
title: CCDC 2184790: Experimental Crystal Structure Determination

description: Related Article: Xiao-Feng Zhong, Guo-Jun Luo, Wen-Bin Li, Xiong-Hai Chen, Ying Wu, Yi-Hui Chen, Jia-Wen Ye, Jie Bai, Zong-Wen Mo, Xiao-Ming Chen|2022|Dalton Trans.|51|14852|doi:10.1039/D2DT02290G
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.cc2d67mh
title: CCDC 2210536: Experimental Crystal Structure Determination

description: Related Article: David Frank DUNCAN|2022|U.S.Patents|||
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: 10.6084/m9.figshare.20321571
title: Bulk affinity Manuscript supporting file

description: The excel file contains modeled distributions of <em>K</em>d values for progressive rounds of aptamer selection and proposed bulk affinity workflow. <br> The origin file includes the construction of gaussian distribution figure, theoretical bulk affinity workflow, experimental bulk affinity workflow and electropherograms.
DOI: 10.6084/m9.figshare.20321571.v2
title: Bulk affinity Manuscript supporting file

description: The excel file contains modeled distributions of <em>K</em>d values for progressive rounds of aptamer selection and proposed bulk affinity workflow. <br> The origin file includes the construction of gaussian distribution figure, theoretical bulk affinity workflow, experimental bulk affinity workflow and electropherograms.
DOI: 10.6084/m9.figshare.20321571.v1
title: Bulk affinity Manuscript supporting file

description: The excel file contains modeled distributions of <em>K</em>d values for progressive rounds of aptamer selection and proposed bulk affinity workflow. <br> The origin file includes the construction of gaussian distribution figure, theoretical bulk affinity workflow, experimental bulk affinity workflow and electropherograms.
DOI: 10.6084/m9.figshare.21314085
title: data.zip

description: The original dataset of my paper（A bibliometric analysis on climate change perception: hot spots, trends and improvements）.
DOI: 10.6084/m9.figshare.21313608
title: Overall Transcriptome & Annotation

description: Overall transcriptome and annotation for lake sturgeon
DOI: 10.6084/m9.figshare.21313608.v1
title: Overall Transcriptome & Annotation

description: Overall transcriptome and annotation for lake sturgeon
DOI: 10.18112/openneuro.ds004228.v1.0.1
title: Early stressful experiences are associated with reduced neural responses to naturalistic emotional and social content in children
DOI: 10.5281/zenodo.7187504
title: Dataset and results for "Comparing machine learning and deep learning models for probabilistic post-processing of satellite precipitation-driven streamflow simulation"

description: Dataset and results for "Comparing machine learning and deep learning models for probabilistic post-processing of satellite precipitation-driven streamflow simulation" Yuhang Zhang1, Aizhong Ye1*, Phu Nguyen2, Bita Analui2, Soroosh Sorooshian2, Kuolin Hsu2 1 State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China. 2 Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, California, CA 92697, USA. ## Dataset Streamflow simulations from one observed precipitation (CMA) and three satellite precipitation products (PDIR, IMERG-F, and GSMaP) for 522 sub-basins. - Q-CMA (streamflow reference)<br> - Q-PDIR (uncorrected)<br> - Q-IMERGF (uncorrected)<br> - Q-GSMAP (uncorrected) ### Data structure - Head section (row1-row5)<br> - SubNO: 522 <br> - BeginT: 2003-01-01 00:00 <br> - EndT: 2019-12-31 00:00 <br> - Interval: 1440s (daily)<br> - Revise: 10 (scaling factor to keep int datatype)<br> - Point1 Point2 ... (Subbasin No.)<br> - Data section<br> - 6209 rows, 522 cols ## Results Two post-processing model results for test period (2015-1-1 to 2018-12-31). ### Data structure - 1462 rows, every row denotes each day from 2015-1-1 to 2018-12-31 - 100 columns, every column denotes each quantile from 0.005 to 0.995, total 100 quantiles. ### qrf-output - pdir (single input)<br> - imergf (single input)<br> - gsmap (single input)<br> - all (multiple inputs) ### lstm-output - pdir (single input)<br> - imergf (single input)<br> - gsmap (single input)<br> - all (multiple inputs)
DOI: 10.6084/m9.figshare.21136361.v1
title: Cotard delusion, emotional experience and depersonalisation

description: Cotard delusion—the delusional belief “I am dead”—is named after the French psychiatrist who first described it: Jules Cotard. Ramachandran and Blakeslee proposed that the idea “I am dead” comes to mind when a neuropathological condition has resulted in complete abolition of emotional responsivity to the world. The idea would arise as a putative explanation: if “I am dead” were true, there would be no emotional responsivity to the world. We scrutinised the literature on people who expressed the delusional belief “I am dead”, looking for data on whether such patients are reported as entirely lacking in emotional responsivity. In numerous cases, patients with Cotard delusion are described as experiencing emotions including anxiety, fear, guilt, distress, euphoria and worry. We conclude that complete absence of emotional responsivity cannot be what prompts the delusional idea that one is dead. We propose that, in at least some cases, the idea “I am dead” comes to mind in response to symptoms of depersonalisation or derealisation, often present in cases of Cotard delusion, and give examples of Cotard patients with abnormalities in various neural areas that could be responsible for the presence of such symptoms.
DOI: 10.6084/m9.figshare.21136361
title: Cotard delusion, emotional experience and depersonalisation

description: Cotard delusion—the delusional belief “I am dead”—is named after the French psychiatrist who first described it: Jules Cotard. Ramachandran and Blakeslee proposed that the idea “I am dead” comes to mind when a neuropathological condition has resulted in complete abolition of emotional responsivity to the world. The idea would arise as a putative explanation: if “I am dead” were true, there would be no emotional responsivity to the world. We scrutinised the literature on people who expressed the delusional belief “I am dead”, looking for data on whether such patients are reported as entirely lacking in emotional responsivity. In numerous cases, patients with Cotard delusion are described as experiencing emotions including anxiety, fear, guilt, distress, euphoria and worry. We conclude that complete absence of emotional responsivity cannot be what prompts the delusional idea that one is dead. We propose that, in at least some cases, the idea “I am dead” comes to mind in response to symptoms of depersonalisation or derealisation, often present in cases of Cotard delusion, and give examples of Cotard patients with abnormalities in various neural areas that could be responsible for the presence of such symptoms.
DOI: 10.6084/m9.figshare.21314208
title: Additional file 1 of Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions

description: Additional file 1: Table of publications selected for review using “rhizosphere microbiome” search terms.
DOI: 10.6084/m9.figshare.21314208.v1
title: Additional file 1 of Functionally-explicit sampling can answer key questions about the specificity of plant–microbe interactions

description: Additional file 1: Table of publications selected for review using “rhizosphere microbiome” search terms.
DOI: 10.6084/m9.figshare.21314232
title: Additional file 10 of Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

description: Additional file 10: Dataset S3. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor colon tissue.
DOI: 10.6084/m9.figshare.21314232.v1
title: Additional file 10 of Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

description: Additional file 10: Dataset S3. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor colon tissue.
DOI: 10.6084/m9.figshare.21314235
title: Additional file 11 of Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

description: Additional file 11: Dataset S4. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor renal tissue.
DOI: 10.6084/m9.figshare.21314235.v1
title: Additional file 11 of Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

description: Additional file 11: Dataset S4. Dataset summarizing the analysis of the Recount2 RNAseq data analysis for differential RNA levels in healthy versus tumor renal tissue.
DOI: 10.6084/m9.figshare.21314262
title: Additional file 8 of Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy

description: Additional file 8: Dataset S2. Dataset including all mean fluorescence intensity values (MFIs] from all FACS screens done with the NCI-60 panel.