cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc27k13z
title: CCDC 2071950: Experimental Crystal Structure Determination

description: Related Article: Vinay Arora, Himani Narjinari, Akshai Kumar|2021|Organometallics|40|2870|doi:10.1021/acs.organomet.1c00328
DOI: 10.5517/ccdc.csd.cc27vwzz
title: CCDC 2081432: Experimental Crystal Structure Determination

description: Related Article: Wei Fan, Yi Han, Xuhui Wang, Xudong Hou, Jishan Wu|2021|J.Am.Chem.Soc.|143|13908|doi:10.1021/jacs.1c06757
DOI: 10.5517/ccdc.csd.cc27vx01
title: CCDC 2081433: Experimental Crystal Structure Determination

description: Related Article: Wei Fan, Yi Han, Xuhui Wang, Xudong Hou, Jishan Wu|2021|J.Am.Chem.Soc.|143|13908|doi:10.1021/jacs.1c06757
DOI: 10.5517/ccdc.csd.cc283ltt
title: CCDC 2088836: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283lww
title: CCDC 2088838: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283lxx
title: CCDC 2088839: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283lyy
title: CCDC 2088840: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283lzz
title: CCDC 2088841: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283m01
title: CCDC 2088842: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283m12
title: CCDC 2088843: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283m23
title: CCDC 2088844: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.6084/m9.figshare.14376197
title: Mylopharyngodon_piceus_genome_pep

description: Black carp (Mylopharyngodon piceus, family Cyprinidae) is among the Four Domesticated Fishes in China, which has been cultured more than one thousand years and is characterized with its fast growth and delicious taste. The Black Carp, native to eastern Asia, is a large (&gt;1.5 m long), commercially important fish. To date, previous studies on the black carp have mainly focused on the fields of artificial culture, nutrition and feed, and disease prevention and control . Although some findings on the black carp transcriptome analysis are contained , there is a lack of basic genomics research data.
DOI: 10.6084/m9.figshare.14376137
title: Mylopharyngodon_piceus_genome_cds

description: Black carp (Mylopharyngodon piceus, family Cyprinidae) is among the Four Domesticated Fishes in China, which has been cultured more than one thousand years and is characterized with its fast growth and delicious taste. The Black Carp, native to eastern Asia, is a large (&gt;1.5 m long), commercially important fish. To date, previous studies on the black carp have mainly focused on the fields of artificial culture, nutrition and feed, and disease prevention and control . Although some findings on the black carp transcriptome analysis are contained , there is a lack of basic genomics research data.
DOI: 10.6084/m9.figshare.14376365
title: Mylopharyngodon_piceus_genome

description: Black carp (Mylopharyngodon piceus, family Cyprinidae) is among the Four Domesticated Fishes in China, which has been cultured more than one thousand years and is characterized with its fast growth and delicious taste. The Black Carp, native to eastern Asia, is a large (&gt;1.5 m long), commercially important fish. To date, previous studies on the black carp have mainly focused on the fields of artificial culture, nutrition and feed, and disease prevention and control . Although some findings on the black carp transcriptome analysis are contained , there is a lack of basic genomics research data.
DOI: 10.6084/m9.figshare.16540209
title: Mylopharyngodon_piceus_genome_gff

description: Black carp (Mylopharyngodon piceus, family Cyprinidae) is among the Four Domesticated Fishes in China, which has been cultured more than one thousand years and is characterized with its fast growth and delicious taste. The Black Carp, native to eastern Asia, is a large (&gt;1.5 m long), commercially important fish. To date, previous studies on the black carp have mainly focused on the fields of artificial culture, nutrition and feed, and disease prevention and control . Although some findings on the black carp transcriptome analysis are contained , there is a lack of basic genomics research data.
DOI: 10.6084/m9.figshare.16571052
title: The behavior of the foreign currency market

description: The interaction between the real exchange rate and natural resources is a common phenomenon because these resources are usually used domestically and exported. These exports lead to changes in the real exchange rate that then influence macroeconomics factors. I examine whether announcements related to expected and actual natural gas discoveries off the coast of Israel affect the real exchange rate, and whether investors can utilize this information to make abnormal profits. To accomplish this goal, I use an intraday event study approach to analyze the fluctuations in the real intraday exchange rate between the Israeli shekel and the US dollar for 2009-2017 and media announcements related to the gas discoveries published during this period. The results reveal that announcements related to gas discoveries did affect the real exchange rate and caused the appreciation of the shekel. Investors who analyzed the announcements could achieve abnormal returns in the foreign exchange market.<br>
DOI: 10.6084/m9.figshare.16571052.v1
title: The behavior of the foreign currency market

description: The interaction between the real exchange rate and natural resources is a common phenomenon because these resources are usually used domestically and exported. These exports lead to changes in the real exchange rate that then influence macroeconomics factors. I examine whether announcements related to expected and actual natural gas discoveries off the coast of Israel affect the real exchange rate, and whether investors can utilize this information to make abnormal profits. To accomplish this goal, I use an intraday event study approach to analyze the fluctuations in the real intraday exchange rate between the Israeli shekel and the US dollar for 2009-2017 and media announcements related to the gas discoveries published during this period. The results reveal that announcements related to gas discoveries did affect the real exchange rate and caused the appreciation of the shekel. Investors who analyzed the announcements could achieve abnormal returns in the foreign exchange market.<br>
DOI: 10.5517/ccdc.csd.cc283m34
title: CCDC 2088845: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc283m45
title: CCDC 2088846: Experimental Crystal Structure Determination

description: Related Article: Wisam A. Al Isawi, Sarut Jianrattanasawat, Eleftherios Tripodianos, Konstantinos D. Demadis, Alexander M. Kirillov, Matthias Zeller, Gellert Mezei|2021|Cryst.Growth Des.|21|5421|doi:10.1021/acs.cgd.1c00683
DOI: 10.5517/ccdc.csd.cc27llbs
title: CCDC 2073445: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc27llct
title: CCDC 2073446: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc27lldv
title: CCDC 2073447: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc25l1b5
title: CCDC 2013336: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc25l1c6
title: CCDC 2013337: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc25l1d7
title: CCDC 2013338: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc27llfw
title: CCDC 2073448: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc25l1jc
title: CCDC 2013342: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc25l1hb
title: CCDC 2013341: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5517/ccdc.csd.cc27llgx
title: CCDC 2073449: Experimental Crystal Structure Determination

description: Related Article: Zhen Zhang, Jie Zhou, Han Xu Sun, Mei He, Wei Li, Lin Du, Mingjin Xie, Qi-Hua Zhao|2021|Cryst.Growth Des.|21|5086|doi:10.1021/acs.cgd.1c00491
DOI: 10.5281/zenodo.5167960
title: Données pour le mémoire "Analyse quantitative de métadonnées bibliographiques : apports de l'analyse de réseau"

description: Ce dépôt contient l'ensemble des scripts et notebooks utilisés dans le cadre du travail suivant ;<br> François Pichenot, <em>Analyse quantitative de métadonnées bibliographiques : apports de l’analyse de réseau</em>, mémoire de master 2 « Humanités numériques et computationnelles », dir. Christophe Gauthier et Étienne Cavalié,<br> Université Paris, Sciences & Lettres, 2021.
DOI: 10.5281/zenodo.5167959
title: Données pour le mémoire "Analyse quantitative de métadonnées bibliographiques : apports de l'analyse de réseau"

description: Ce dépôt contient l'ensemble des scripts et notebooks utilisés dans le cadre du travail suivant ;<br> François Pichenot, <em>Analyse quantitative de métadonnées bibliographiques : apports de l’analyse de réseau</em>, mémoire de master 2 « Humanités numériques et computationnelles », dir. Christophe Gauthier et Étienne Cavalié,<br> Université Paris, Sciences & Lettres, 2021.
DOI: 10.34740/kaggle/dsv/2587581
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.14602032
title: Data and Codes for Accessibility and Market Potential Analysis

description: Geodatabase FL_data.gdb contains two features (Hospitals and ZIP_Code_Area) and one table (flow_clean). The Python Scripts calculate various accessibility and market potential scores.
DOI: 10.6084/m9.figshare.14602032.v3
title: Data and Codes for Accessibility and Market Potential Analysis

description: Geodatabase FL_data.gdb contains two features (Hospitals and ZIP_Code_Area) and one table (flow_clean). The Python Scripts calculate various accessibility and market potential scores.
DOI: 10.3886/e116085v1-95620
title: Replication data for: Politically Connected Firms

description: Examination of firms in 47 countries shows a widespread overlap of controlling shareholders and top officers who are connected with national parliaments or governments, particularly in countries with higher levels of corruption, with barriers to foreign investment, and with more transparent systems. Connections are diminished when regulations set more limits on official behavior. Additionally, I show that the announcement of a new political connection results in a significant increase in value.
DOI: 10.5281/zenodo.5457098
title: Extreme precipitation increases the productivity of a desert ephemeral plant community in Central Asia, but there is no slope position effect

description: Extreme precipitation increases the productivity of a desert ephemeral plant community in Central Asia, but there is no slope position effect
DOI: 10.5281/zenodo.5457097
title: Extreme precipitation increases the productivity of a desert ephemeral plant community in Central Asia, but there is no slope position effect

description: Extreme precipitation increases the productivity of a desert ephemeral plant community in Central Asia, but there is no slope position effect
DOI: 10.5281/zenodo.3611360
title: Female manipulation of offspring sex ratio in a gregarious parasitoid from a two-generation approach

description: Supplementary_Material_Sex ratio of gregarious parasitoids
DOI: 10.5281/zenodo.3611359
title: Female manipulation of offspring sex ratio in a gregarious parasitoid from a two-generation approach

description: Supplementary_Material_Sex ratio of gregarious parasitoids
DOI: 10.6084/m9.figshare.16571100
title: data set within case analysis.docx

description: Within-case analysis of data gathered from 10 interviews
DOI: 10.6084/m9.figshare.16571100.v1
title: data set within case analysis.docx

description: Within-case analysis of data gathered from 10 interviews
DOI: 10.5281/zenodo.5457112
title: Learning-based landmark detection in pelvis X-Rays with attention mechanism: Data from the Osteoarthritis Initiative

description: We proposed a new landmark detection task based on the data from Osteoarthritis Initiative. We chose high-quality 544 images taken by the Swissray scanner from OAI bone image dataset. Images of the patients with hip replacement were excluded owing to the lack of anatomical structures that must be predicted, and some of the existing images that influenced the doctors labeling the landmarks were also excluded. In total, data of 524 subjects were collected to develop and validate a deep learning system to predict the landmarks in the pelvis images. According to our research problem, we invited professional doctors to label femoral head center, upper acetabulum rim, innermost point of subchondral sclerosis and teardrop in the pelvis X-Ray, as shown in the Figure 4. Total images were annotated by a radiologist with 7 years of working experience from the First Hospital of Jilin University, and the anatomical positions labeled were reviewed by orthopedic surgeon with 7 years of working experience from the Second Hospital of Jilin University. There are two files in this dataset. "Coordinates_information.xlsx" stored the coordinates of landmarks labeled by radiologist. "original_information.xlsx" was download from Osteoarthritis Initiative, which stored the basic information about X-rays.
DOI: 10.5281/zenodo.5457111
title: Learning-based landmark detection in pelvis X-Rays with attention mechanism: Data from the Osteoarthritis Initiative

description: We proposed a new landmark detection task based on the data from Osteoarthritis Initiative. We chose high-quality 544 images taken by the Swissray scanner from OAI bone image dataset. Images of the patients with hip replacement were excluded owing to the lack of anatomical structures that must be predicted, and some of the existing images that influenced the doctors labeling the landmarks were also excluded. In total, data of 524 subjects were collected to develop and validate a deep learning system to predict the landmarks in the pelvis images. According to our research problem, we invited professional doctors to label femoral head center, upper acetabulum rim, innermost point of subchondral sclerosis and teardrop in the pelvis X-Ray, as shown in the Figure 4. Total images were annotated by a radiologist with 7 years of working experience from the First Hospital of Jilin University, and the anatomical positions labeled were reviewed by orthopedic surgeon with 7 years of working experience from the Second Hospital of Jilin University. There are two files in this dataset. "Coordinates_information.xlsx" stored the coordinates of landmarks labeled by radiologist. "original_information.xlsx" was download from Osteoarthritis Initiative, which stored the basic information about X-rays.
DOI: 10.6084/m9.figshare.15200286.v2
title: Scoping review of systematic reviews and meta-analyses of interventions designed to improve vaccination uptake.

description: Vaccine uptake varies substantially and resources to promote uptake varies widely by country and income level, and immunization rates are often suboptimal. We, therefore conducted a scoping review of interventions designed to increase vaccination uptake and have steored the tables and appendices in Figshare for access.pendix<br><b>Appendices</b>Appendix 1. Protocol_Vaccine Uptake_V1_2021.docxAppendix 2. Excluded Discordant Review references Appendix 3. Included References for GRADE Assessment (n=107)Appendix 4. Glossary of Intervention definitions Appendix 5. Multiple Intervention components across 37 SRs Appendix 6. Excluded reviews from GRADE (on full-text assessment)Appendix 7. Vaccine Uptake Tracker <b>Figures </b>Figure 1. Vaccine Uptake Flow chart & InclusionFigure 2. Vaccine Uptake Flow chart by year <b>Tables</b>Table 1. Outcomes of Interest and Prioritization Table 2. Summary of Intervention coverage and populationsTable 3. AMSTAR Score Vaccine Uptake Reviews Table 4. GRADE Tables Vaccine Uptake Reviews Table 5. Study Characteristics Vaccine Uptake SRs
DOI: 10.5281/zenodo.5457270
title: Britain Breathing 2020 Air Quality and Meteorological Regional Estimates Dataset

description: This data set is a collection of estimated daily mean and maximum values for a range of air quality and meterological measurements and model forecasts for UK postcode districts (e.g. 'AB') for the year 2020. The data uses a 'concentric regions' method to estimate the measurement for all regions, as follows. If measurements exist within the region, the mean of those measurements is used, if not, then a ring of neighbouring postcode regions are selected, and the mean of their measurement values used. If no measurement sites/data are found in the first ring, the process continues, taking the next ring of postcode district regions, working outwards until one or more sensors are found in a ring. As well as the measurement estimations, the number of rings required to find site data and make the estimations is also published. <strong>As a result, please note that estimations with higher ring counts ('rings') are likely to be calculated from more distant sensors. This distance depends upon the size of the postcode regions surrounding the location being estimated. Please use the ring count ('rings') to limit/filter estimations based on your required level of confidence.</strong> The meteorological, pollen and air quality measurement data used to make the regional estimations can be found at this Zenodo archive. The data there contains Temperature, Relative Humidity, and Pressure data, downloaded from the Met Office MIDAS archives via the MEDMI server (https://www.data-mashup.org.uk/). Also downloaded from the MEDMI server are daily pollen measurements for the UK. PM10, PM2.5, NO2, NOx (as NO2), O3, and SO2 measurements from the DEFRA AURN network, and also model forecasts of the same made using the EMEP model. The code used to make the estimations is available at this Zenodo archive. The data-set is presented in CSV format, as two files: turing_regional_estimates_aq_daily_met_pollen_pollution_original_data.csv: uses original site data (timestamp, region_id, ...[measurement name, rings]) ('rings' is the number of rings required to make the estimation) turing_regional_estimates_aq_loc_type_daily_original_data.csv: uses original data. Air quality regional estimates are calculated using specific AQ site location types* separately. (To prevent, for example, 'Traffic Urban' type sites being used to estimate 'non-traffic' or rural regions.) * Air quality site types: Industrial: comprises 'urban industrial' (9 sites) and suburban industrial (2 sites) 'Rural background' (14 sites) 'Urban background' (48 sites) 'Urban traffic' (47 sites)
description: This release updates the column headers, removing 'extra_' from the ring count columns, for example 'extra_rings_pressure_mean' is changed to 'rings_pressure_mean'. All other data is the same as in version 0.2