cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3989043
title: 3x 5 µs all-atom MD trajectories; AMBER ff99SB*-ILDN & TIP4P/2005; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

description: Simulation data for "Fitting side-chain NMR relaxation data using molecular simulations" (https://doi.org/10.1101/2020.08.18.256024). 3 x 5 µs all-atom MD simulations of T4 Lysozyme Force field: AMBER ff99SB*-ILDN with modified methyl rotation barriers<sup>1</sup> Water model: TIP4P/2005 Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters Contains: 3 x GROMACS .xtc trajectory files for 3 independent simulations 3 x corresponding GROMACS .tpr topology files <sup>1</sup> Hoffmann, F., Mulder, F. A. A., & Schäfer, L. V. (2018). Accurate Methyl Group Dynamics in Protein Simulations with AMBER Force Fields. <em>The Journal of Physical Chemistry B</em>, <em>122</em>(19), 5038–5048. https://doi.org/10.1021/acs.jpcb.8b02769
DOI: 10.18716/nmrshiftdb2/76443
title: NMR data for 3-benzoyl-6-ethyl-4-methyl-1H-pyridin-2-one
DOI: 10.18716/nmrshiftdb2/76441
title: NMR data for 2,3-dibenzoyl-1,4-diphenylbut-2-ene-1,4-dione
DOI: 10.18716/nmrshiftdb2/76445
title: NMR data for 3-benzoyl-4-methyl-6-(2-phenylethyl)-1H-pyridin-2-one
DOI: 10.18716/nmrshiftdb2/76440
title: NMR data for 3-propan-2-ylidenepentane-2,4-dione
DOI: 10.18716/nmrshiftdb2/76442
title: NMR data for 3-benzoyl-4,6-dimethyl-1H-pyridin-2-one
DOI: 10.18716/nmrshiftdb2/76439
title: NMR data for 2-acetyl-3-ethyl-5,5-dimethylcyclohex-2-en-1-one
DOI: 10.18716/nmrshiftdb2/76448
title: NMR data for ethyl 6-ethyl-4-methyl-2-oxo-1H-pyridine-3-carboxylate
DOI: 10.18716/nmrshiftdb2/76449
title: NMR data for InChI=1S/C17H14O5/c1-4-5-11-6-10-7-13(19)17(3)15(12(10)8-21-11)14(9(2)18)16(20)22-17/h4-8H,1-3H3/b5-4+
DOI: 10.18716/nmrshiftdb2/76456
title: NMR data for 3-[(Z)-2-acetamido-1-carboxyprop-1-enyl]-1-hydroxyindole-2-carboxylic acid
DOI: 10.18716/nmrshiftdb2/76457
title: NMR data for ethyl 3-[2-(cyclohexylcarbamothioylamino)ethyl]-5-methyl-1H-indole-2-carboxylate
DOI: 10.18716/nmrshiftdb2/76459
title: NMR data for 2-(4-phenylpent-4-enyl)isoindole-1,3-dione
DOI: 10.18716/nmrshiftdb2/76433
title: NMR data for 4-methoxy-3-prop-2-enoxybenzaldehyde
DOI: 10.18716/nmrshiftdb2/76435
title: NMR data for InChI=1S/C10H17NO2S2/c1-13-10(12)11-4-2-3-8(11)7-9-14-5-6-15-9/h8-9H,2-7H2,1H3
DOI: 10.18716/nmrshiftdb2/76436
title: NMR data for InChI=1S/C12H21NO3/c1-5-10(14)9-7-6-8-13(9)11(15)16-12(2,3)4/h5,9-10,14H,1,6-8H2,2-4H3
DOI: 10.18716/nmrshiftdb2/76434
title: NMR data for InChI=1S/C12H14O3/c1-4-9(2)15-12-7-10(8-13)5-6-11(12)14-3/h4-9H,1H2,2-3H3
DOI: 10.14459/2020mp1554766
title: CREAM: CoffeemakeR Electrical Activity Measurements for Condition Monitoring

description: The CREAM dataset: continuous voltage and current measurements at high sampling rates of two different industry-grade coffeemaker, mimicking industrial processes. We provide the data sampled at 6.4 kSps and additional event information: 370600 expert-labeled component-level electrical events, 1734 machine-generated product events and 3646 machine-generated maintenance-related events.
DOI: 10.18716/nmrshiftdb2/76437
title: NMR data for InChI=1S/C14H23NO3/c1-6-14(17,7-2)11-9-8-10-15(11)12(16)18-13(3,4)5/h6-7,11,17H,1-2,8-10H2,3-5H3
DOI: 10.18716/nmrshiftdb2/76431
title: NMR data for 3-methylpyridine-2-carbonitrile
DOI: 10.18716/nmrshiftdb2/76444
title: NMR data for 3-benzoyl-4-methyl-6-propan-2-yl-1H-pyridin-2-one
DOI: 10.5517/ccdc.csd.cc23bsbl
title: CCDC 1946779: Experimental Crystal Structure Determination

description: Related Article: Chunxia Wen, Ronglin Zhong, Zengxin Qin, Mengfei Zhao, Jizhen Li|2020|Chem.Commun.|56|9529|doi:10.1039/D0CC00014K
DOI: 10.5517/ccdc.csd.cc238yq2
title: CCDC 1945024: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Dan Zheng, Qiang Liu, Tian-Cheng Wu, Cheng Luo, Liu-Cheng Gui, Jia Chen|2020|J.Lumin.|227|117530|doi:10.1016/j.jlumin.2020.117530
DOI: 10.5517/ccdc.csd.cc238yr3
title: CCDC 1945025: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Dan Zheng, Qiang Liu, Tian-Cheng Wu, Cheng Luo, Liu-Cheng Gui, Jia Chen|2020|J.Lumin.|227|117530|doi:10.1016/j.jlumin.2020.117530
DOI: 10.5517/ccdc.csd.cc238ys4
title: CCDC 1945026: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Dan Zheng, Qiang Liu, Tian-Cheng Wu, Cheng Luo, Liu-Cheng Gui, Jia Chen|2020|J.Lumin.|227|117530|doi:10.1016/j.jlumin.2020.117530
DOI: 10.5517/ccdc.csd.cc238yt5
title: CCDC 1945027: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Dan Zheng, Qiang Liu, Tian-Cheng Wu, Cheng Luo, Liu-Cheng Gui, Jia Chen|2020|J.Lumin.|227|117530|doi:10.1016/j.jlumin.2020.117530
DOI: 10.5517/ccdc.csd.cc238yn0
title: CCDC 1945022: Experimental Crystal Structure Determination

description: Related Article: Ting-Hong Huang, Qiao-Long Hu, Fang-Zheng Zhao, Dan Zheng, Qiang Liu, Tian-Cheng Wu, Cheng Luo, Liu-Cheng Gui, Jia Chen|2020|J.Lumin.|227|117530|doi:10.1016/j.jlumin.2020.117530
DOI: 10.5517/ccdc.csd.cc24m8ln
title: CCDC 1984731: Experimental Crystal Structure Determination

description: Related Article: Hilary D. Fokwa, Julia F. Vidlak, Sophie C. Weinberg, Isaiah D. Duplessis, Nathan D. Schley, Miles W. Johnson|2020|Dalton Trans.|49|9957|doi:10.1039/D0DT02063J
DOI: 10.5517/ccdc.csd.cc24m8nq
title: CCDC 1984733: Experimental Crystal Structure Determination

description: Related Article: Hilary D. Fokwa, Julia F. Vidlak, Sophie C. Weinberg, Isaiah D. Duplessis, Nathan D. Schley, Miles W. Johnson|2020|Dalton Trans.|49|9957|doi:10.1039/D0DT02063J
DOI: 10.5517/ccdc.csd.cc24m8qs
title: CCDC 1984735: Experimental Crystal Structure Determination

description: Related Article: Hilary D. Fokwa, Julia F. Vidlak, Sophie C. Weinberg, Isaiah D. Duplessis, Nathan D. Schley, Miles W. Johnson|2020|Dalton Trans.|49|9957|doi:10.1039/D0DT02063J
DOI: 10.5517/ccdc.csd.cc24mf5d
title: CCDC 1984873: Experimental Crystal Structure Determination

description: Related Article: Jonathan I. Short, Toby J. Blundell, Sara J. Krivickas, Songjie Yang, John D. Wallis, Hiroki Akutsu, Yasuhiro Nakazawa, Lee Martin|2020|Chem.Commun.|56|9497|doi:10.1039/D0CC04094K
DOI: 10.5517/ccdc.csd.cc24nlp3
title: CCDC 1986005: Experimental Crystal Structure Determination

description: Related Article: Mikhail Krasavin, Alexander Safrygin, Olga Bakulina, Dmitry Dar’in|2020|Synthesis|52|2190|doi:10.1055/s-0040-1708017
DOI: 10.5517/ccdc.csd.cc2551zd
title: CCDC 2000863: Experimental Crystal Structure Determination

description: Related Article: Chunyan Zhang, Haowen Zhao, Zehua Li, Zuyu Liang, Shuo Qi, Mingyu Cai, Sheng Zhang, Xiaofei Jia, Guoying Zhang, Mao-Lin Hu|2020|Chem.Commun.|56|9521|doi:10.1039/D0CC03789C
DOI: 10.5517/ccdc.csd.cc25bzj1
title: CCDC 2006553: Experimental Crystal Structure Determination

description: Related Article: Matilde Fondo, Julio Corredoira-Vázquez, Ana M. García-Deibe, Jesús Sanmartín-Matalobos, Martín Amoza, Alexandre M. P. Botas, Rute A. S. Ferreira, Luís D. Carlos, Enrique Colacio|2020|Inorg.Chem.Front.|7|3019|doi:10.1039/D0QI00637H
DOI: 10.5517/ccdc.csd.cc25c8xr
title: CCDC 2006844: Experimental Crystal Structure Determination

description: Related Article: Emma V. Puttock, Amit Sil, Dmitry S. Yufit, J. A. Gareth Williams|2020|Dalton Trans.|49|10463|doi:10.1039/D0DT01964J
DOI: 10.5517/ccdc.csd.cc25c8ys
title: CCDC 2006845: Experimental Crystal Structure Determination

description: Related Article: Emma V. Puttock, Amit Sil, Dmitry S. Yufit, J. A. Gareth Williams|2020|Dalton Trans.|49|10463|doi:10.1039/D0DT01964J
DOI: 10.5517/ccdc.csd.cc25c8zt
title: CCDC 2006846: Experimental Crystal Structure Determination

description: Related Article: Emma V. Puttock, Amit Sil, Dmitry S. Yufit, J. A. Gareth Williams|2020|Dalton Trans.|49|10463|doi:10.1039/D0DT01964J
DOI: 10.5517/ccdc.csd.cc25c90w
title: CCDC 2006847: Experimental Crystal Structure Determination

description: Related Article: Emma V. Puttock, Amit Sil, Dmitry S. Yufit, J. A. Gareth Williams|2020|Dalton Trans.|49|10463|doi:10.1039/D0DT01964J
DOI: 10.5281/zenodo.3989057
title: 5x 1 µs all-atom MD trajectories; AMBER ff99SB*-ILDN & TIP4P/2005; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

description: Simulation data for "Fitting side-chain NMR relaxation data using molecular simulations" (https://doi.org/10.1101/2020.08.18.256024). 5 x 1 µs all-atom MD simulations of T4 Lysozyme Force field: AMBER ff99SB*-ILDN with modified methyl rotation barriers<sup>1</sup> Water model: TIP4P/2005 Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters Contains: 5 x GROMACS .xtc trajectory files for 5 independent simulations 5 x corresponding GROMACS .tpr topology files <sup>1</sup> Hoffmann, F., Mulder, F. A. A., & Schäfer, L. V. (2018). Accurate Methyl Group Dynamics in Protein Simulations with AMBER Force Fields. <em>The Journal of Physical Chemistry B</em>, <em>122</em>(19), 5038–5048. https://doi.org/10.1021/acs.jpcb.8b02769
DOI: 10.5281/zenodo.3989056
title: 5x 1 µs all-atom MD trajectories; AMBER ff99SB*-ILDN & TIP4P/2005; T4 Lysozyme; 'Fitting side-chain NMR relaxation data using molecular simulations'

description: Simulation data for "Fitting side-chain NMR relaxation data using molecular simulations" (https://doi.org/10.1101/2020.08.18.256024). 5 x 1 µs all-atom MD simulations of T4 Lysozyme Force field: AMBER ff99SB*-ILDN with modified methyl rotation barriers<sup>1</sup> Water model: TIP4P/2005 Compressed protein coordinates saved every 1 ps to enable calculation of side-chain NMR relaxation parameters Contains: 5 x GROMACS .xtc trajectory files for 5 independent simulations 5 x corresponding GROMACS .tpr topology files <sup>1</sup> Hoffmann, F., Mulder, F. A. A., & Schäfer, L. V. (2018). Accurate Methyl Group Dynamics in Protein Simulations with AMBER Force Fields. <em>The Journal of Physical Chemistry B</em>, <em>122</em>(19), 5038–5048. https://doi.org/10.1021/acs.jpcb.8b02769
DOI: 10.5281/zenodo.3992615
title: Novel Coronavirus (COVID-19) Cases in The Netherlands

description: On 27 February 2020, the first case of COVID-19 disease was confirmed in The Netherlands by RIVM (National Institute for Public Health and the Environment). In the weeks after, thousands of people were diagnosed with the infectious disease. Data on COVID-19 case counts are important for research and applications on various topics like epidemiology and statistics. This dataset contains reported case counts derived from official sources like RIVM (National Institute for Public Health and the Environment), LCPS (National Coordination Center for Patient Distribution), and NICE (National Intensive Care Evaluation). Data from these sources are collected, standardized, and published in various formats on a daily basis. The README document in this repository provides an overview of the available datasets, their file location(s), and codebooks. Copies of the original data are stored in the folder named 'raw_data'. Scripts to process the raw data into standardized files can be found in the folder workflows.
DOI: 10.15454/otkid3/jcggrp
title: FUNC_PSP.xlsx

description: Raw func enrichment analysis for PPN-specific M. incognita putative secreted proteins (PSP) (Excel format with significant enrichment sorted).
DOI: 10.15454/otkid3/k86sjb
title: FUNC_PPN-spec.xlsx

description: Raw func enrichment analysis for PPN-specific M. incognita proteins. (Excel format with significant enrichment sorted).
DOI: 10.15454/otkid3/6blp1k
title: Bubble-Plot-PPN_PSP_Effectors.pdf

description: Bubble chart of enriched GO terms from PPN specific genes. Three different informations were plotted: significance (FDR), number of genes in each GO Term and fold-enrichment (FE) in relation to the expected frequency observed in the M. incognita predicted proteome.
DOI: 10.15454/otkid3/nmwjso
title: Heatmaps_Supp_Figure.pdf

description: Heatmaps of eight GO enrichment terms categories.
DOI: 10.15454/otkid3/daf0qc
title: Bubble_Plot_HGT.tiff

description: Bubble chart of enriched GO terms from possible (AI&gt;0) and candidate (AI&gt;14) Horizontal gene transfers (HGT). Three different informations were plotted: significance (FDR), number of genes in each GO Term and fold-enrichment (FE) in relation to the expected frequency observed in the M. incognita predicted proteome. Figure in 300dpi.
DOI: 10.15454/otkid3/gzxfmp
title: Bubble_Plot_HGT.pdf

description: Bubble chart of enriched GO terms from possible (AI&gt;0) and candidate (AI&gt;14) Horizontal gene transfers (HGT). Three different informations were plotted: significance (FDR), number of genes in each GO Term and fold-enrichment (FE) in relation to the expected frequency observed in the M. incognita predicted proteome.
DOI: 10.15454/otkid3/6m7zvr
title: Bubble-Plot-PPN_PSP_Effectors.tiff

description: Bubble chart of enriched GO terms from PPN specific genes. Three different informations were plotted: significance (FDR), number of genes in each GO Term and fold-enrichment (FE) in relation to the expected frequency observed in the M. incognita predicted proteome. Figure in 300dpi.
DOI: 10.15454/otkid3/eiubpy
title: FUNC_effectors.xlsx

description: Raw func enrichment analysis for PPN-specific M. incognita candidate effectors. (Excel format with significant enrichment sorted).
DOI: 10.15454/otkid3/xqvcnr
title: FUNC_effectors.txt

description: Raw func enrichment analysis for PPN-specific M. incognita candidate effectors.
DOI: 10.15454/otkid3/wcprc4
title: FUNC_PPN-spec.txt

description: Raw func enrichment analysis for PPN-specific M. incognita proteins.
DOI: 10.15454/otkid3/eazvau
title: FUNC_PSP.txt

description: Raw func enrichment analysis for PPN-specific M. incognita putative secreted proteins (PSP)
DOI: 10.15454/otkid3/rbeqhi
title: FUNC_HGT0.xlsx

description: Raw func enrichment analysis for possible HGT - (AI&gt;0). (Excel format with significant enrichment sorted).
DOI: 10.15454/otkid3/slqfki
title: FUNC_HGT14.txt

description: Raw func enrichment analysis for candidate HGT - (AI&gt;14).
DOI: 10.15454/otkid3/ga29zo
title: FUNC_HGT0.txt

description: Raw func enrichment analysis for possible HGT - (AI&gt;0)
DOI: 10.15454/otkid3/0tstox
title: FUNC_HGT14.xlsx

description: Raw func enrichment analysis for candidate HGT - (AI&gt;14). (Excel format with significant enrichment sorted).
DOI: 10.15454/otkid3/c6e1kf
title: Supp_table_GOterms.tab

description: Supplementary table with the results of the FUNC hypergeometric analysis listing the significantly enriched GO terms in the PPN specific genes and their clustering in different groups as represented in the bubble plots.
DOI: 10.15454/otkid3
title: Gene Ontology enrichment in PPN-specific and horizontally acquired proteins

description: We used a hypergeometric test within the FUNC program (Prüfer et al., 2007) to determine whether certain GO terms assigned via InterproScan annotation were significantly enriched in M. incognita : - PPN-specific proteins - PPN-specific putative secreted proteins (PSP) - PPN-specific Candidate effectors - Possible horizontal gene transfers (Alien Index &gt;0) - Candidate horizontal gene transfers (Alien index &gt;14) compared to the rest of the proteins in this species. We used a false discovery rate (FDR) threshold value of 0.05 to consider a term as significantly enriched.
DOI: 10.17632/v43xdpcg99.1
title: Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability?

description: This file includes the time series of the multiproxy ENSO reconstructions generated in Loope et al. 2020 (Is there a low-frequency bias in multiproxy reconstructions of tropical pacific SST variability?)
DOI: 10.17632/hsn6g3dbsk.1
title: Investigating Sentences Features for Subjectivity and Polarity Classification in Brazilian Portuguese

description: O dataset consiste de uma coleta que nós fizemos de 350 comentários de usuários sobre restaurantes no Brasil no site TripAdvisor[1], no período de janeiro a março de 2020. Os comentários foram divididos em 1.049 sentenças e cada sentença foi manualmente anotada pelos autores. Inicialmente, nós classificamos as sentenças em objetivas e subjetivas. Nós pudemos observar que existe um equilíbrio no número de sentenças em cada uma dessas classes. Em seguida, nós classificamos manualmente as sentenças subjetivas em positivas e negativas. As sentenças que eram subjetivas, mas com polaridade neutra, foram desconsideradas. Na prática, nós observamos que existem poucas sentenças que são subjetivas e neutras. Também foi possível observar que há uma quantidade bastante superior de sentenças positivas do que sentenças negativas. [1] https://www.tripadvisor.com.br
DOI: 10.17632/8fs2z7gvgd.1
title: Air quality data - Comunitat Valenciana

description: PM2.5 maps are a central component of air quality monitoring and epidemiological studies. Modelling of air pollutants using remote sensing data relies heavily on the development of multiple layers of information to train the prediction models. This paper proposes a workflow for mapping PM2.5 based on open data. With a data science approach, the input data were AOD (MODIS), atmospheric variables (MERRA-2), land use (CORINE), terrain elevation (DEM) and ground measurements of PM2.5.
DOI: 10.17632/mk7z7st438.1
title: ATR restrains DNA synthesis and mitotic catastrophe in response to CDC7 inhibition. Rainey et al
DOI: 10.17632/hjcpd6j8rn.1
title: Active-genetic neutralizing elements for halting or deleting gene-drives

description: Raw data for article of the following title: Active-genetic neutralizing elements for halting or deleting gene-drives
DOI: 10.17632/vf6jmvz83b.2
title: Pre-trained Flair and BERT weights (Spanish biomedical literature, SciELO) and corpus

description: This zipped folder includes pre-trained weights of BERT and Flair models. Both models were trained from scratch on Spanish biomedical literature texts obtained from SciELO website. The corpus on which the models were trained is also included. It consists of over 86B tokens. More details on the corpus and training process could be found in our paper "Testing Contextualized Word Embeddings to Improve NER in Spanish Clinical Case Narratives", doi: 10.21203/rs.2.22697/v2
DOI: 10.17632/fp27n5n88v.4
title: A high throughput tensile ice adhesion measurement system

description: The accretion of ice to engineering and everyday surfaces can damage the iced structure or threaten safety. Designing materials with low adhesion to ice first requires the ability to accurately measure the strength of the adhesion between the surface and ice. The majority of studies in this field have focused on manipulating and measuring the adhesion strength of different materials under an imposed shear stress. From these studies, elastomers have emerged as a promising class of low ice adhesion materials due to interfacial cavitation, a tension-driven surfaces instability. However, no commercially available or readily buildable instrumentation exists to measure ice adhesion in tension. We design a high throughput, low cost device that can measure the tensile ice adhesion strength of different surfaces. The design, construction, and operation of the tensile ice adhesion measurement system are delineated. The performance of the setup is validated experimentally by varying the temperature, tensile pull-off speed, thickness of the substrate, and ice/substrate interfacial area for several metals and plastics. Ice adhesion measurements follow known laws of fracture mechanics, exemplifying the accuracy and precision of the instrument.
DOI: 10.17632/kgvvszxshb.1
title: E. Villegas et al., 2020

description: XRD and optical transmitance of ZnO and Al-doped ZnO films
DOI: 10.17632/b6gwttpcv5.1
title: Inflation, inflation volatility and terrorism in Africa

description: The dataset is employed to provide an answer to this question: can inflation or inflation volatility incites terrorism? This question is salient as there is a latent belief that both can actually produce hardships for people, making them to be economically deprived and aggrieved, thereby reducing their opportunity costs of rebellion against the incumbent government. This study answers the above raised question using a negative binomial regression on 38 African economies over the period 1980-2012, in which the following findings are established. Inflation volatility and not inflation per se constitutes a significant predictor of terrorism, particularly, for the domestic terrorist activity over the period of coverage. The prevailing impacts of other confounding variables such as surface areas, ethnicity, physical integrity rights, as well as the lagged value of terrorism are consistently notable across the model specifications. Thus, the paper argues that the non-statistical significance of inflation does not render it less important as it provides an enabling environment for which inflation volatility thrives.
DOI: 10.17632/zrd74wtvpx.1
title: Heat Transfer in Unfrozen and Frozen Porous Media: Experimental Measurement and Pore-Scale Modelling (Measured and Predicted ETC Values)

description: The Experimental Data and Model Predictions
DOI: 10.17632/j4rnpjkk3j.2
title: Island-arc crustal growth rates along the Izu-Bonin-Mariana subduction system and their potential relation to subduction zone temperatures

description: Accreted magmatic thickness with unit of km, arc boundaries and flow lines for the paper by Bai Yongliang, et al. (2020), “Island-arc crustal growth rates along the Izu-Bonin-Mariana subduction system and their potential relation to subduction zone temperatures
DOI: 10.17632/6w49x86k6y.1
title: When Pits Fill Up: Supply and Demand for Safe Pit-Emptying Services in Kisumu, Kenya

description: Household survey data associated with the paper, "When Pits Fill Up: Supply and Demand for Safe Pit-Emptying Services in Kisumu, Kenya" which sought to determine the degree to which market forces can promote safe fecal sludge removal in low-income neighborhoods of Kisumu, Kenya by comparing household willingness-to-pay for formal pit emptying with the prices charged by service providers.
DOI: 10.17632/5d2kp25h4s.1
title: MicroinvasiveDataBank

description: Microinvasive Cervical Squamous Carcinoma (FIGO-Stage IA1) - Diagnosis, treatment and recurrence - 1985-2013
DOI: 10.17632/rjxfxzsh5m.1
title: DATA for C67 represses DNA repair
DOI: 10.17632/y6kxmmz9x9.1
title: Melanomas and stress patterns on the foot: a systematic review and meta-analysis supplement

description: Melanomas and stress patterns on the foot: a systematic review and meta-analysis supplement
DOI: 10.17632/vfxf4trtcg.2
title: rust (Hemileia vastatrix) and leaf miner (Leucoptera coffeella) in coffee crop (Coffea arabica).