cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14284/516
title: Microplastics In Fish Gastrointestinal Tracts sampled in 2020 in the North Sea (MICROFISH project)

description: In this work, a pilot study was performed to assess the feasibility of biomonitoring microplastics (MPs) in fish gastro-intestinal tract (GIT), to assess MP spatial contamination in the marine environment. The MPs identification protocol was based on Nile red staining and fluorescent microscopy observations. The confirmation of MPs identification and the analysis of the polymer composition of particles was done using micro-Fourier transform infrared (µFTIR) spectroscopy.
description: Fish gastro-intestinal tract (GIT) and fillet samples were dissected onboard scientific fisheries survey vessels, before lab digestion, density separation and analysis. Samples were processed individually or GIT contents from 3 fish were pooled prior to a two-step digestion. The size of each particle was measured along its maximum Feret diameter using the scale bar function of the Leica Application Suite (LAS) microscope software, while fibre length was measured as the shortest distance between the two fibre tips. Microplastics were classified by colour and shape according to MSFD Technical Subgroup on Marine Litter (2013). A micro-Fourier Transform Infrared Spectroscopy (µFTIR) analysis was performed using a Spotlight 200i FT-IR microscope (Perkin Elmer) to distinguish between synthetic (i.e., plastic) and natural (i.e., non-plastic) particles, and to further identify the polymers of selected 52 particles (size &gt; 50 µm), 36 potential plastic and 16 non-plastic particles. To identify the spectra, a search was performed in a spectra commercial library (Perkin Elmer), excluding the range 1,250 - 1,100 cm-1, and polymers identification was accepted when a match was over 60% (with one exception for a Fluorocarbon particle, where the match was 55%).
DOI: 10.6084/m9.figshare.16706428
title: Supplementary Material for: Safety and Effectiveness of Mycophenolate Mofetil in Interstitial Lung Diseases: Insights from a Machine Learning Radiographic Model

description: <b><i>Introduction:</i></b> Treatment of interstitial lung diseases (ILDs) other than idiopathic pulmonary fibrosis (IPF) often includes systemic corticosteroids. Use of steroid-sparing agents is amenable to avoid potential side effects. <b><i>Methods:</i></b> Functional indices and high-resolution computed tomography (HRCT) patterns of patients with non-IPF ILDs receiving mycophenolate mofetil (MMF) with a minimum follow-up of 1 year were analyzed. Two independent radiologists and a machine learning software system (Imbio 1.4.2.) evaluated HRCT patterns. <b><i>Results:</i></b> Fifty-five (<i>n</i> = 55) patients were included in the analysis (male: 30 [55%], median age: 65.0 [95% CI: 59.7–70.0], mean forced vital capacity %predicted [FVC %pred.] ± standard deviation [SD]: 69.4 ± 18.3, mean diffusing capacity of lung for carbon monoxide %pred. ± SD: 40.8 ± 14.3, hypersensitivity pneumonitis: 26, connective tissue disease-ILDs [CTD-ILDs]: 22, other ILDs: 7). There was no significant difference in mean FVC %pred. post-6 months (1.59 ± 2.04) and 1 year (−0.39 ± 2.49) of treatment compared to baseline. Radiographic evaluation showed no significant difference between baseline and post-1 year %ground glass opacities (20.0 [95% CI: 14.4–30.0] vs. 20.0 [95% CI: 14.4–25.6]) and %reticulation (5.0 [95% CI: 2.0–15.6] vs. 7.5 [95% CI: 2.0–17.5]). A similar performance between expert radiologists and Imbio software analysis was observed in assessing ground glass opacities (intraclass correlation coefficient [ICC] = 0.73) and reticulation (ICC = 0.88). Fourteen patients (25.5%) reported at least one side effect and 8 patients (14.5%) switched to antifibrotics due to disease progression. <b><i>Conclusion:</i></b> Our data suggest that MMF is a safe and effective steroid-sparing agent leading to disease stabilization in a proportion of patients with non-IPF ILDs. Machine learning software systems may exhibit similar performance to specialist radiologists and represent fruitful diagnostic and prognostic tools.
DOI: 10.6084/m9.figshare.16706428.v1
title: Supplementary Material for: Safety and Effectiveness of Mycophenolate Mofetil in Interstitial Lung Diseases: Insights from a Machine Learning Radiographic Model

description: <b><i>Introduction:</i></b> Treatment of interstitial lung diseases (ILDs) other than idiopathic pulmonary fibrosis (IPF) often includes systemic corticosteroids. Use of steroid-sparing agents is amenable to avoid potential side effects. <b><i>Methods:</i></b> Functional indices and high-resolution computed tomography (HRCT) patterns of patients with non-IPF ILDs receiving mycophenolate mofetil (MMF) with a minimum follow-up of 1 year were analyzed. Two independent radiologists and a machine learning software system (Imbio 1.4.2.) evaluated HRCT patterns. <b><i>Results:</i></b> Fifty-five (<i>n</i> = 55) patients were included in the analysis (male: 30 [55%], median age: 65.0 [95% CI: 59.7–70.0], mean forced vital capacity %predicted [FVC %pred.] ± standard deviation [SD]: 69.4 ± 18.3, mean diffusing capacity of lung for carbon monoxide %pred. ± SD: 40.8 ± 14.3, hypersensitivity pneumonitis: 26, connective tissue disease-ILDs [CTD-ILDs]: 22, other ILDs: 7). There was no significant difference in mean FVC %pred. post-6 months (1.59 ± 2.04) and 1 year (−0.39 ± 2.49) of treatment compared to baseline. Radiographic evaluation showed no significant difference between baseline and post-1 year %ground glass opacities (20.0 [95% CI: 14.4–30.0] vs. 20.0 [95% CI: 14.4–25.6]) and %reticulation (5.0 [95% CI: 2.0–15.6] vs. 7.5 [95% CI: 2.0–17.5]). A similar performance between expert radiologists and Imbio software analysis was observed in assessing ground glass opacities (intraclass correlation coefficient [ICC] = 0.73) and reticulation (ICC = 0.88). Fourteen patients (25.5%) reported at least one side effect and 8 patients (14.5%) switched to antifibrotics due to disease progression. <b><i>Conclusion:</i></b> Our data suggest that MMF is a safe and effective steroid-sparing agent leading to disease stabilization in a proportion of patients with non-IPF ILDs. Machine learning software systems may exhibit similar performance to specialist radiologists and represent fruitful diagnostic and prognostic tools.
DOI: 10.6084/m9.figshare.16706770
title: Supplementary Material for: Anti-NMDA Receptor Encephalitis in a Patient with Tuberous Sclerosis-Related Brain Tumor: A Case Report

description: Anti-NMDA receptor (NMDAR) encephalitis (NMDARE) is an important treatable cause of autoimmune psychosis in all age-groups, which is sometimes associated with tumors, especially ovarian teratomas. Tuberous sclerosis complex (TSC) is an autosomal dominant inherited neurocutaneous disease predisposing for development of benign tumors. We present a case of a 35-year-old woman with recurrent episodes of schizophrenia-like symptoms. Accidentally, MRI revealed TSC-related brain tumors. NMDAR antibody titers were strongly positive in serum and cerebrospinal fluid. This is the first case describing an overlap of NMDARE and TSC-related brain tumors. A review of brain tumors and NMDARE is given in the supplementary material. Although a causal link seems interesting from a pathophysiological point of view, we are in favor of a coincidence.
DOI: 10.6084/m9.figshare.16706770.v1
title: Supplementary Material for: Anti-NMDA Receptor Encephalitis in a Patient with Tuberous Sclerosis-Related Brain Tumor: A Case Report

description: Anti-NMDA receptor (NMDAR) encephalitis (NMDARE) is an important treatable cause of autoimmune psychosis in all age-groups, which is sometimes associated with tumors, especially ovarian teratomas. Tuberous sclerosis complex (TSC) is an autosomal dominant inherited neurocutaneous disease predisposing for development of benign tumors. We present a case of a 35-year-old woman with recurrent episodes of schizophrenia-like symptoms. Accidentally, MRI revealed TSC-related brain tumors. NMDAR antibody titers were strongly positive in serum and cerebrospinal fluid. This is the first case describing an overlap of NMDARE and TSC-related brain tumors. A review of brain tumors and NMDARE is given in the supplementary material. Although a causal link seems interesting from a pathophysiological point of view, we are in favor of a coincidence.
DOI: 10.5517/ccdc.csd.cc27lnxf
title: CCDC 2073525: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lnyg
title: CCDC 2073526: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lnzh
title: CCDC 2073527: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lp0k
title: CCDC 2073528: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lp1l
title: CCDC 2073529: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lp2m
title: CCDC 2073530: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27lp3n
title: CCDC 2073531: Experimental Crystal Structure Determination

description: Related Article: Maxime Tricoire, Luca Münzfeld, Jules Moutet, Nolwenn Mahieu, Léo La Droitte, Eufemio Moreno-Pineda, Frédéric Gendron, Jeremy D. Hilgar, Jeffrey D. Rinehart, Mario Ruben, Boris Le Guennic, Olivier Cador, Peter W. Roesky, Grégory Nocton|2021|Chem.-Eur.J.|27|13558|doi:10.1002/chem.202101599
DOI: 10.5517/ccdc.csd.cc27nx83
title: CCDC 2075675: Experimental Crystal Structure Determination

description: Related Article: Yumei Wang, Ziwu Zhang, Lichan Deng, Tianfeng Lao, Zhengquan Su, Yue Yu, Hua Cao|2021|Org.Lett.|23|7171|doi:10.1021/acs.orglett.1c02575
DOI: 10.5517/ccdc.csd.cc27sshb
title: CCDC 2079402: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc27ssmg
title: CCDC 2079406: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc27ssnh
title: CCDC 2079407: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc27tm2s
title: CCDC 2080195: Experimental Crystal Structure Determination

description: Related Article: Leonie J. Bole, Marina Uzelac, Alberto Hernán-Gómez, Alan R. Kennedy, Charles T. O’Hara, Eva Hevia|2021|Inorg.Chem.|60|13784|doi:10.1021/acs.inorgchem.1c01276
DOI: 10.5517/ccdc.csd.cc27tm4v
title: CCDC 2080197: Experimental Crystal Structure Determination

description: Related Article: Leonie J. Bole, Marina Uzelac, Alberto Hernán-Gómez, Alan R. Kennedy, Charles T. O’Hara, Eva Hevia|2021|Inorg.Chem.|60|13784|doi:10.1021/acs.inorgchem.1c01276
DOI: 10.5517/ccdc.csd.cc27tm5w
title: CCDC 2080198: Experimental Crystal Structure Determination

description: Related Article: Leonie J. Bole, Marina Uzelac, Alberto Hernán-Gómez, Alan R. Kennedy, Charles T. O’Hara, Eva Hevia|2021|Inorg.Chem.|60|13784|doi:10.1021/acs.inorgchem.1c01276
DOI: 10.5517/ccdc.csd.cc27tm6x
title: CCDC 2080199: Experimental Crystal Structure Determination

description: Related Article: Leonie J. Bole, Marina Uzelac, Alberto Hernán-Gómez, Alan R. Kennedy, Charles T. O’Hara, Eva Hevia|2021|Inorg.Chem.|60|13784|doi:10.1021/acs.inorgchem.1c01276
DOI: 10.5517/ccdc.csd.cc27tm7y
title: CCDC 2080200: Experimental Crystal Structure Determination

description: Related Article: Leonie J. Bole, Marina Uzelac, Alberto Hernán-Gómez, Alan R. Kennedy, Charles T. O’Hara, Eva Hevia|2021|Inorg.Chem.|60|13784|doi:10.1021/acs.inorgchem.1c01276
DOI: 10.5517/ccdc.csd.cc27ty45
title: CCDC 2080507: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27ty67
title: CCDC 2080509: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27tycd
title: CCDC 2080514: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27tydf
title: CCDC 2080515: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27tyfg
title: CCDC 2080516: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27tygh
title: CCDC 2080517: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27tyhj
title: CCDC 2080518: Experimental Crystal Structure Determination

description: Related Article: Alena Shlyaykher, Marvin Ehmann, Antti J. Karttunen, Frank Tambornino|2021|Chem.-Eur.J.|27|13552|doi:10.1002/chem.202102058
DOI: 10.5517/ccdc.csd.cc27ssf8
title: CCDC 2079400: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc27sspj
title: CCDC 2079408: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc27ssg9
title: CCDC 2079401: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5281/zenodo.5541239
title: Dataset of impacts of weather and climate services on farming in Burkina Faso 2019 and 2020

description: The dataset contains the results of two surveys realized in 2019 and 2020 in the Municipality of Tenado, Burkina Faso. The surveys were conducted in October 2019 and in November 2020 using structured questionnaires translated and administered in the local language by trained enumerators. Moreover, yield plots were placed in farmers’ fields and yield was measured on site. The sample at the Tenado site consisted for each survey in approximately 300 farmers (150 treated and 150 control) in 12 villages for each year. The treatment is the training in the use of Weather and Climate Services in agriculture. The control group is random and represents the entire population. The treatment group is also random, from the participants in training. Observed variables are: N. seedings Quantity of seeds (kg/ha) N. fertilizations Quantity fertilizers (kg/ha) Working days Yield (kg/ha) Costs (FCFA/ha) Seeds cost (FCFA/ha) Fertilizers cost (FCFA/ha) Labor cost (FCFA/ha) Income (FCFA/ha) Gross benefit (FCFA/ha) The market price of sorghum and the cost of seeds, fertilizer and labor were considered stable over the 2 years and in particular the sorghum price was 200 FCFA per kg, while the costs were 350 FCFA for 1 kg of seeds, and 450 FCFA for 1 kg of fertilizer. Labor cost is accounted as the opportunity costs of working time considering that 1,500 FCFA is the daily wage in agriculture. Income was computed multiplying yield by the price of sorghum and the gross benefit is the income minus the costs.
DOI: 10.5281/zenodo.5541238
title: Dataset of impacts of weather and climate services on farming in Burkina Faso 2019 and 2020

description: The dataset contains the results of two surveys realized in 2019 and 2020 in the Municipality of Tenado, Burkina Faso. The surveys were conducted in October 2019 and in November 2020 using structured questionnaires translated and administered in the local language by trained enumerators. Moreover, yield plots were placed in farmers’ fields and yield was measured on site. The sample at the Tenado site consisted for each survey in approximately 300 farmers (150 treated and 150 control) in 12 villages for each year. The treatment is the training in the use of Weather and Climate Services in agriculture. The control group is random and represents the entire population. The treatment group is also random, from the participants in training. Observed variables are: N. seedings Quantity of seeds (kg/ha) N. fertilizations Quantity fertilizers (kg/ha) Working days Yield (kg/ha) Costs (FCFA/ha) Seeds cost (FCFA/ha) Fertilizers cost (FCFA/ha) Labor cost (FCFA/ha) Income (FCFA/ha) Gross benefit (FCFA/ha) The market price of sorghum and the cost of seeds, fertilizer and labor were considered stable over the 2 years and in particular the sorghum price was 200 FCFA per kg, while the costs were 350 FCFA for 1 kg of seeds, and 450 FCFA for 1 kg of fertilizer. Labor cost is accounted as the opportunity costs of working time considering that 1,500 FCFA is the daily wage in agriculture. Income was computed multiplying yield by the price of sorghum and the gross benefit is the income minus the costs.
DOI: 10.6084/m9.figshare.16706827
title: Effect of oxoplasmosis on political beliefs - data set

description: Data set for the article "Le Petit Machiavellian Prince: effect of latent toxoplasmosis infection on political beliefs and values"<br> <br>
DOI: 10.6084/m9.figshare.16706827.v1
title: Effect of oxoplasmosis on political beliefs - data set

description: Data set for the article "Le Petit Machiavellian Prince: effect of latent toxoplasmosis infection on political beliefs and values"<br> <br>
DOI: 10.6084/m9.figshare.16706662
title: Post-disaster Housing Reconstruction in a Philippine Estuarine Island Case 1: Alma

description: This is part of a series of case write-ups developed from ethnographic data collection activities (using a combination of remote and in-situ methods due to Covid-19 restrictions) in Isla Sasa, a Philippine estuarine island, from 2020 to 2021 (ongoing as of writing). The data collection was conducted as part of the author’s doctoral research on design and citizenship citizenship practices within post-disaster housing reconstruction for the School of Architecture and Urban Design at RMIT University. Data collection focused on adult householders who suffered from either housing loss or damage after Super Typhoon Glenda in 2014 (international name: Rammasun), the most destructive storm on the island and one of the most destructive storms in the Philippines. Aside from exposure to typhoons, inhabitants of the four-hectare island also suffer from intense flooding that can be traced to land subsidence and sea level rise. Case 1 was conducted via a remote interview using a mobile phone and arranged through the assistance of a community health worker residing in the island. The interview was conducted in Tagalog. The interview was transcribed and this summary is based on the transcription.<br>
DOI: 10.6084/m9.figshare.16706662.v1
title: Post-disaster Housing Reconstruction in a Philippine Estuarine Island Case 1: Alma

description: This is part of a series of case write-ups developed from ethnographic data collection activities (using a combination of remote and in-situ methods due to Covid-19 restrictions) in Isla Sasa, a Philippine estuarine island, from 2020 to 2021 (ongoing as of writing). The data collection was conducted as part of the author’s doctoral research on design and citizenship citizenship practices within post-disaster housing reconstruction for the School of Architecture and Urban Design at RMIT University. Data collection focused on adult householders who suffered from either housing loss or damage after Super Typhoon Glenda in 2014 (international name: Rammasun), the most destructive storm on the island and one of the most destructive storms in the Philippines. Aside from exposure to typhoons, inhabitants of the four-hectare island also suffer from intense flooding that can be traced to land subsidence and sea level rise. Case 1 was conducted via a remote interview using a mobile phone and arranged through the assistance of a community health worker residing in the island. The interview was conducted in Tagalog. The interview was transcribed and this summary is based on the transcription.<br>
DOI: 10.17632/tsx4kypfz8.1
title: C-type lectin-(like) fold

description: Review on C-type lectin-(like) fold – protein-protein interaction patterns and utilization potential. The xls table shows PDB ids and basic characteristics of PDB structures containing at least one C-type lectin-(like) domain, 2021.
DOI: 10.17632/3dmbz5s6bt.1
title: LDHU3_05.0720

description: Ankyrin repeats-containing protein
Leishmania donovani (HU3 strain)
DOI: 10.17632/rrryv9kgfw.1
title: LDHU3_05.0640

description: hypothetical protein - conserved
Leishmania donovani (HU3 strain)
DOI: 10.17632/gs3bmcs747.1
title: LDHU3_05.0600

description: nuclear receptor binding factor-like protein
Leishmania donovani (HU3 strain)
DOI: 10.17632/zcc7zywv5b.1
title: LDHU3_05.0620

description: LSM domain containing protein
Leishmania donovani (HU3 strain)
DOI: 10.17632/gjg36rct2d.1
title: LDHU3_05.0590

description: ATP synthase F1 - alpha subunit
Leishmania donovani (HU3 strain)
DOI: 10.17632/7w9924r75h.1
title: Data Open abdomen Study

description: Data collection tables
DOI: 10.17632/btc46x82nv.1
title: LDHU3_05.0580

description: ATP synthase F1 - alpha subunit
Leishmania donovani (HU3 strain)
DOI: 10.17632/7g5932szmm.1
title: LDHU3_05.0570

description: ATP synthase F1 - alpha subunit
Leishmania donovani (HU3 strain)