cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bby9y
title: CCDC 2155470: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bbybz
title: CCDC 2155471: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bbyd1
title: CCDC 2155473: Experimental Crystal Structure Determination

description: Related Article: F. W. Heinemann, R. Meier|2022|CSD Communication|||
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.cc2bc2wp
title: CCDC 2155612: Experimental Crystal Structure Determination

description: Related Article: Junaid Ur Rahim|2022|CSD Communication|||
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.17430691
title: Community and environmental data-driven monitoring of waste management

description: Environmental operators perform their activities in accordance with the relevant legal provisions; however, this does not mean that they operate at their technological optima using the operational information available. The possible negative effects (odor, noise, etc.) of a sub-optimal operation can be felt first and foremost by those living in the immediate vicinity of the given object. It would be important to make effective use of these citizens feedback (quickly to revealing the root causes) thus minimize negative environmental impact of operations. The solution proposed in this paper is a portal called EnviroMind, which allows citizens feedback to be recorded in an easy, immediate, and structured way via a form and on the other hand, it provides a real-time graphical odor transmission model output in a dashboard to operators. Using this portal as a monitoring system the magnitude of the odor effect could be reduced and a smaller area around the industrial object could be affected. In a landfill monitoring pilot project where this monitoring system was used the decrease in the number of indicated odor observations was 85% and the decrease in maximal distance from landfill to odor detection positions was 45%. It is proposed to use EnviroMind monitoring system for all industrial objects which have a significant odor effect on the environment, because by using it we can make the odor effect visible to operators in real time, thus, the reaction time for solving the problem can be minimized. <i>Implications</i>: monitoring is available online to the surrounding community, the affected population, so that quick responses and interventions are available; in the knowledge of the current technological activity carried out on the site its expected odor effect in the area can be determined, whether a protected area can be reached and what odor concentration is expected; in every 15 minutes model results to accurately track expected odor emission values; possibility of intervention, stopping or modification of the technology steps. Experience and main achievements of portal operation in a landfill monitoring pilot project from recent 3 years: the decreasing number of odor perceptions (the decrease in the number of indicated observations was 85%) and the cessation of odor effects in certain areas (and the decrease in maximal distance from landfill to odor detection positions was 45%).
DOI: 10.6084/m9.figshare.17430691.v2
title: Community and environmental data-driven monitoring of waste management

description: Environmental operators perform their activities in accordance with the relevant legal provisions; however, this does not mean that they operate at their technological optima using the operational information available. The possible negative effects (odor, noise, etc.) of a sub-optimal operation can be felt first and foremost by those living in the immediate vicinity of the given object. It would be important to make effective use of these citizens feedback (quickly to revealing the root causes) thus minimize negative environmental impact of operations. The solution proposed in this paper is a portal called EnviroMind, which allows citizens feedback to be recorded in an easy, immediate, and structured way via a form and on the other hand, it provides a real-time graphical odor transmission model output in a dashboard to operators. Using this portal as a monitoring system the magnitude of the odor effect could be reduced and a smaller area around the industrial object could be affected. In a landfill monitoring pilot project where this monitoring system was used the decrease in the number of indicated odor observations was 85% and the decrease in maximal distance from landfill to odor detection positions was 45%. It is proposed to use EnviroMind monitoring system for all industrial objects which have a significant odor effect on the environment, because by using it we can make the odor effect visible to operators in real time, thus, the reaction time for solving the problem can be minimized. <i>Implications</i>: monitoring is available online to the surrounding community, the affected population, so that quick responses and interventions are available; in the knowledge of the current technological activity carried out on the site its expected odor effect in the area can be determined, whether a protected area can be reached and what odor concentration is expected; in every 15 minutes model results to accurately track expected odor emission values; possibility of intervention, stopping or modification of the technology steps. Experience and main achievements of portal operation in a landfill monitoring pilot project from recent 3 years: the decreasing number of odor perceptions (the decrease in the number of indicated observations was 85%) and the cessation of odor effects in certain areas (and the decrease in maximal distance from landfill to odor detection positions was 45%).
DOI: 10.6084/m9.figshare.20052116
title: A critical review of the circular economy for lithium-ion batteries and photovoltaic modules – status, challenges, and opportunities

description: To meet net-zero emissions and cost targets for power production, recent analysis indicates that photovoltaic (PV) capacity in the United States could exceed 1 TW by 2050 alongside comparable levels of energy storage capacity, mostly from batteries. For comparison, the total U.S. utility-scale power capacity from all energy sources in 2020 was 1.2 TW, of which solar satisfied approximately 3%. With such massive scales of deployment, questions have arisen regarding issues of material supply for manufacturing, end-of-life management of technologies, environmental impacts across the life cycle, and economic costs to both individual consumers and society at large. A set of solutions to address these issues center on the development of a circular economy – shifting from a take-make-waste linear economic model to one that retains the value of materials and products as long as possible, recovering materials at end of life to recirculate back into the economy. With limited global experience, scholars and practitioners have begun to investigate circular economy pathways, focusing on applying novel technologies and analytical methods to fast-growing sectors like renewable energy. This critical review aims to synthesize the growing literature to identify key insights, gaps, and opportunities for research and implementation of a circular economy for two of the leading technologies that enable the transition to a renewable energy economy: solar PV and lithium-ion batteries (LIBs). We apply state-of-the-science systematic literature review procedures to critically analyze over 3,000 publications on the circular economy of solar PV and LIBs, categorizing those that pass a series of objective screens in ways that can illuminate the current state of the art, highlight existing impediments to a circular economy, and recommend future technological and analytical research. We conclude that while neither PV nor LIB industries have reached a circular economy, they are both on a path towards increased circularity. Based on our assessment of the state of current literature and scientific understanding, we recommend research move beyond its prior emphasis on recycling technology development to more comprehensively investigate other CE strategies, more holistically consider economic, environmental and policy aspects of CE strategies, increase leveraging of digital information systems that can support acceleration towards a CE, and to continue to study CE-related aspects of LIB and PV markets.
DOI: 10.6084/m9.figshare.20052116.v1
title: A critical review of the circular economy for lithium-ion batteries and photovoltaic modules – status, challenges, and opportunities

description: To meet net-zero emissions and cost targets for power production, recent analysis indicates that photovoltaic (PV) capacity in the United States could exceed 1 TW by 2050 alongside comparable levels of energy storage capacity, mostly from batteries. For comparison, the total U.S. utility-scale power capacity from all energy sources in 2020 was 1.2 TW, of which solar satisfied approximately 3%. With such massive scales of deployment, questions have arisen regarding issues of material supply for manufacturing, end-of-life management of technologies, environmental impacts across the life cycle, and economic costs to both individual consumers and society at large. A set of solutions to address these issues center on the development of a circular economy – shifting from a take-make-waste linear economic model to one that retains the value of materials and products as long as possible, recovering materials at end of life to recirculate back into the economy. With limited global experience, scholars and practitioners have begun to investigate circular economy pathways, focusing on applying novel technologies and analytical methods to fast-growing sectors like renewable energy. This critical review aims to synthesize the growing literature to identify key insights, gaps, and opportunities for research and implementation of a circular economy for two of the leading technologies that enable the transition to a renewable energy economy: solar PV and lithium-ion batteries (LIBs). We apply state-of-the-science systematic literature review procedures to critically analyze over 3,000 publications on the circular economy of solar PV and LIBs, categorizing those that pass a series of objective screens in ways that can illuminate the current state of the art, highlight existing impediments to a circular economy, and recommend future technological and analytical research. We conclude that while neither PV nor LIB industries have reached a circular economy, they are both on a path towards increased circularity. Based on our assessment of the state of current literature and scientific understanding, we recommend research move beyond its prior emphasis on recycling technology development to more comprehensively investigate other CE strategies, more holistically consider economic, environmental and policy aspects of CE strategies, increase leveraging of digital information systems that can support acceleration towards a CE, and to continue to study CE-related aspects of LIB and PV markets.
DOI: 10.7284/145869
title: Fluorometer data collected during research cruise LMG0806 using a WET Labs ECO-FL instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145870
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0806 using a Ashtech ADU2 instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145871
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0806 using a Garmin GPS-17HVS instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145872
title: GNSS (Global Navigation Satellite System) data collected during research cruise LMG0806 using a Trimble Centurion P(Y) instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145873
title: Gyrocompass data collected during research cruise LMG0806 using a SGB Meridian instrument system onboard the platform RV Laurence M. Gould

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.6632059
title: Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks

description: Supplementary Tables
DOI: 10.5281/zenodo.5823609
title: Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks

description: Supplementary Tables
DOI: 10.25612/837.gaxzmbjk0em1
title: Ozone (44201_O3) readings

description: Hourly readings of ozone (O3 - parameter code 44201) from air quality/meteorology monitoring sites in the 13 counties of the Houston-Galveston Area Council.
DOI: 10.5287/bodleian:o5pmwnve0
title: Data and analysis scripts for: Statistical signature of electroburning in graphene nano-junctions
DOI: 10.17632/j6g7j6vndk.1
title: LINF_280035900

description: heat shock protein 70 | HSP70 | HSP70-type I
Leishmania infantum (strain JPCM5)
DOI: 10.17632/bsvxh88ypz.1
title: Effects of climate change on the emergence, survival and performance of oak seedlings: a field experiment approach

description: This study experimentally assesses effects of climate change (higher temperature and reduced rainfall) on the emergence, survival and performance of seedlings of two native oak species (Quercus crassifolia and Quercus eduardii) in a temperate forest from Mexico. Climate change conditions in the field were simulated with open-top chambers and rainout shelters, while controls were exposed to the current climate. Microclimatic and soil conditions measured in controls and climate change simulation plots (CCS) are provided in the Excel file “Data 01 Climate and soil variables”. In this dataset, values of air temperature, relative humidity of the air and soil temperature are weekly averages measured with dataloggers in three randomly selected plots of each climate treatment. Volumetric soil water contents at 3.6 and 12.0 cm depth were weekly measured with a time-domain reflectometer in five experimental units of each climate treatment. Soil contents of nitrate and ammonium were measured at the beginning (before climate manipulation) and at the end (after climate manipulation) of the experiment in five experimental units of each climate treatment. The proportion of emerged and surviving seedlings, as well as their age and shoot growth rates, in controls and climate change simulation plots (CCS) are provided for each oak species in the Excel file “Data 02 Oak seedling responses”. This latter file also provides the variables measured on leaves of three seedlings from each experimental unit, including the age of leaves, percent water content of leaves, PFFD on leaves, leaf temperature, effective quantum yield, and foliar contents of nitrogen and carbon.
DOI: 10.17632/rrrmb39nr7.1
title: Delays in melanoma presentation during the COVID-19 pandemic: a nationwide multi-institutional cohort study

description: Delays in melanoma presentation during the COVID-19 pandemic: a nationwide multi-institutional cohort study
DOI: 10.17632/28322w73ts.2
title: Data Science for Business and Decision Making - Luiz Paulo Fávero and Patrícia Belfiore

description: Datasets fo the book "Data Science for Business and Decision Making" (Luiz Paulo Fávero and Patrícia Belfiore, Academic Press Elsevier, 2019 - English and Korean Editions).
DOI: 10.17632/vb5gzh9c82.2
title: Supplementary Data File - DAVID 7 Functional Category Full Gene List

description: For PG manuscript
DOI: 10.17632/55623jkwrp.2
title: Data Science, Analytics and Machine Learning with R

description: Datasets of the book.
DOI: 10.17632/7wpn37vc2b.2
title: Supplementary Data File 1 - DAVID Comprehensive Functional Category Annotation Chart Results

description: For PG manuscript
DOI: 10.17632/dbt8mshdk2.1
title: The interplay between androgens and low density lipoprotein-cholesterol in modulating prostate cancer cell fate and metabolism

description: Background: Androgens, the known drivers of prostate cancer (PCa) growth, have been indicated as important metabolic regulators with a relevant role in stimulating lipid metabolism. Also, the relationship between obesity and the aggressiveness of PCa has been established. However, it is unknown if the hormonal environment may alter the response of PCa cells to lipid availability. The present study evaluated the effect of 5α-dihydrotestosterone (DHT) in regulating lipid metabolism, and the interplay between this hormone and low-density lipoprotein (LDL)-cholesterol in modulating PCa cells fate. Materials and methods: Non-neoplastic, and androgen-sensitive and castration-resistant PCa cells were treated with 10 nM DHT, and the expression of fatty acids transporter, fatty acid synthase (FASN), and carnitine palmitoyltransferase 1A (CPT1A) evaluated. PCa cells were also exposed to LDL (100 μg/ml) in the presence or absence of DHT. 
Results: Treatment with DHT upregulated the expression of FASN and CPT1A in androgen-sensitive PCa cells. In contrast, LDL supplementation suppressed FASN expression regardless of the presence of DHT, whereas augmenting CPT1A levels. Our results also showed that LDL-cholesterol increased PCa cells viability, proliferation, and migration dependently on the presence of DHT. Moreover, LDL and DHT synergistically enhanced the accumulation of lipid droplets in PCa cells. 
Conclusions: Overall, the obtained results show that androgens deregulate lipid metabolism and enhance the effects of LDL increasing PCa cells viability, proliferation and migration. The present findings support clinical data linking obesity with PCa and first implicate androgens in this relationship. The present study sustains the application of pharmacological approaches targeting cholesterol availability and androgens signaling simultaneously.
DOI: 10.17632/nwj8yx9c92.1
title: Supplementary Data File 2 - DAVID 7 Functional categories genes 

description: For PG manuscript
DOI: 10.17632/jk4dt6wprv.4
title: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

description: Details will be published in an accompanying article (9. June 2022):
Thrun, M. C., Hoffman, J., Röhnert, M., Von Bonin, M., Oelschlägel, U., Brendel, C., & Ultsch, A.: Flow Cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods, Data in Brief, in press, 2022.

Data measured by flow cytometers with the feautres forward and side light scatter (FS and SS) and use the same panel of fluorescent antibody clones against the same antigens:, CD34 FITC (Fluoresceinisothiocyanate) (8G12),  CD13 PE (Phycoerythrin) (L138), CD7 PerCP-Cy5.5 (Peridinin chlorophyll protein-Cyanine5.5) (M-T701), CD56 APC (Allophycocyanin) (NCAM16.2), CD33 PE-Cy7 (Phycoerythrin Cyanine7) (D3HL60.251), CD117 AlexaFluor750〖^TM〗  (104D2D1), HLA-DR Pacific blue〖^TM〗 (Immu357), CD45 Krome Orange〖^TM〗  (J33).
Data were acquired with the following two flow cytometers:
•	Dresden: (N=44): BD FACSCanto II™, BD Biosciences (Heidelberg)
•	Marburg: (N=14 and N=50): Navios™, Beckman Coulter (Krefeld)
DOI: 10.17632/hdzptzz8r5.2
title: Scripts and tutorials for indirect structural disconnection-symptom mapping by Sperber, Griffis & Kasties

description: For more information, see in the Readme files in each folder