cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tftycyf7ws.1
title: Research data for "Photocatalysis using Zinc Oxide-Zinc Phthalocyanine Composite for Effective Mineralization of Organic Pollutants"

description: The dataset is in tables and shows the various experimental tests performed to ascertain the effectiveness of Zinc oxide-Zinc Phthalocyanine composite for the degradation of organic pollutants such as dyes under photocatalysis. Table 1 shows UV-Vis absorbance spectra data of synthesized unsubstituted zinc phthalocyanine sample. Peaks obtained from data indicates a characteristic ZnPc absorbance per literature. Table 2 is an XRD data for ZnO at a range of 20°-70°. Diffraction peaks obtained from data matched that of ZnO. Table 3 shows XRD data for Synthesized unsubstituted ZnPc obtained at 2.5°-40°. Data shows sharp peaks which relate to literature. An XRD data of various synthesized ZnO-ZnPc composites with varying amount of ZnPc is captured in Table 4. Data was obtained between 20°-80°. The obtained data had peaks corresponding to some peaks obtained for ZnO and ZnPc. Table 5 shows UV-Vis spectra data obtained from the singlet oxygen generation test to ascertain the stability of ZnPc.The data obtained suggested that the phthalocyanine was not degraded. Data on various scavengers effect on degradation of the pollutant in the presence of ZnO at 20 min irradiation time interval to identify which reactive species plays a major role in the mineralization process is shown in Table 6. Data obtained for isopropanol (OH• scavenger) shows the least dye degradation. This indicated that the hydroxyl radical (OH•) is the main reactive species during the photocatalytic degradation of the dye. Table 7 is a UV-Vis spectra data showing degradation of the dye luminescence peak at 600 nm for the sample containing ZnO and terephthalic acid (TPA) under irradiation to ascertain the formation of OH• free radicals. This data confirms the formation of OH•. Data on percentage degradation of C. I. Reactive Blue 194 with time under various irradiation conditions with a dye concentration of 40 mg/L and ZnO-ZnPc composite loading of 0.005 g/L at a Solution pH = 7.2 is seen in Table 8. Data on the Solar/ZnO-ZnPc composite condition showed the highest degradation efficiency values. Table 9 shows data on the Effect of ZnO-ZnPc composites with varying amount of ZnPc on mineralization of C. I. Reactive Blue 194. Data shows that increasing the ZnPc amount for composite formation increases photocatalytic activity. Table 10 is data on the effect of C. I. Reactive Blue 194 concentration on degradation percentage with ZnO-ZnPc Loading of 0.005 g/L at pH of 7.2. data shows that high dye concentrations will demand higher catalytic dosage.
DOI: 10.17632/t8rtzcgwxm.1
title: Automatic Pain Assessment in Horses

description: Dataset used to develop a machine learning algorithm for automatic pain assessment on horses. These images were acquired by extracting frames from videos of several days from horses that underwent castration. These frames were selected and evaluated through the process of labeling in order to be used on the training of a Convolutional Neural Network (CNN).
DOI: 10.17632/snzyh2s72m.1
title: Effect of components on surface roughness

description: It contains the atomic% composition of the tested minerals and the surface roughness associated with the data
DOI: 10.17632/n4534vcjkh.1
title: N-PRS and Reward Processing_469

description: Brain activations related to PRS for neuroticism and reward processing
DOI: 10.5517/ccdc.csd.cc24cx1h
title: CCDC 1977646: Experimental Crystal Structure Determination

description: Related Article: Xin Xu, Lin Zhang, Haoqiang Zhao, Yixiao Pan, Jiajie Li, Zhenli Luo, Jiahong Han, Lijin Xu, Ming Lei|2021|Org.Lett.|23|4624|doi:10.1021/acs.orglett.1c01368
DOI: 10.5517/ccdc.csd.cc24cx9r
title: CCDC 1977654: Experimental Crystal Structure Determination

description: Related Article: Xin Xu, Lin Zhang, Haoqiang Zhao, Yixiao Pan, Jiajie Li, Zhenli Luo, Jiahong Han, Lijin Xu, Ming Lei|2021|Org.Lett.|23|4624|doi:10.1021/acs.orglett.1c01368
DOI: 10.5517/ccdc.csd.cc24cxbs
title: CCDC 1977655: Experimental Crystal Structure Determination

description: Related Article: Xin Xu, Lin Zhang, Haoqiang Zhao, Yixiao Pan, Jiajie Li, Zhenli Luo, Jiahong Han, Lijin Xu, Ming Lei|2021|Org.Lett.|23|4624|doi:10.1021/acs.orglett.1c01368
DOI: 10.5517/ccdc.csd.cc26v148
title: CCDC 2050809: Experimental Crystal Structure Determination

description: Related Article: Thaige P. Gompa, Samuel M. Greer, Natalie T. Rice, Ningxin Jiang, Joshua Telser, Andrew Ozarowski, Benjamin W. Stein, Henry S. La Pierre|2021|Inorg.Chem.|60|9064|doi:10.1021/acs.inorgchem.1c01062
DOI: 10.5517/ccdc.csd.cc26v159
title: CCDC 2050810: Experimental Crystal Structure Determination

description: Related Article: Thaige P. Gompa, Samuel M. Greer, Natalie T. Rice, Ningxin Jiang, Joshua Telser, Andrew Ozarowski, Benjamin W. Stein, Henry S. La Pierre|2021|Inorg.Chem.|60|9064|doi:10.1021/acs.inorgchem.1c01062
DOI: 10.5517/ccdc.csd.cc26v16b
title: CCDC 2050811: Experimental Crystal Structure Determination

description: Related Article: Thaige P. Gompa, Samuel M. Greer, Natalie T. Rice, Ningxin Jiang, Joshua Telser, Andrew Ozarowski, Benjamin W. Stein, Henry S. La Pierre|2021|Inorg.Chem.|60|9064|doi:10.1021/acs.inorgchem.1c01062
DOI: 10.5517/ccdc.csd.cc26ycl4
title: CCDC 2054016: Experimental Crystal Structure Determination

description: Related Article: Meng-Meng Xu, Xin-Yu You, Yu-Zhen Zhang, Yang Lu, Kui Tan, Limin Yang, Quan Cai|2021|J.Am.Chem.Soc.|143|8993|doi:10.1021/jacs.1c04759
DOI: 10.5517/ccdc.csd.cc270s24
title: CCDC 2056325: Experimental Crystal Structure Determination

description: Related Article: Xiao-Xiao Yu, Peng Zhao, You Zhou, Chun Huang, Li-Sheng Wang, Yan-Dong Wu, An-Xin Wu|2021|J.Org.Chem.|86|8381|doi:10.1021/acs.joc.1c00793
DOI: 10.5517/ccdc.csd.cc276khj
title: CCDC 2061887: Experimental Crystal Structure Determination

description: Related Article: Yifan Guo, Zongsu Han, Hui Min, Zhonghang Chen, Tiankai Sun, Liang Wang, Wei Shi, Peng Cheng|2021|Inorg.Chem.|60|9192|doi:10.1021/acs.inorgchem.1c01251
DOI: 10.5517/ccdc.csd.cc276kjk
title: CCDC 2061888: Experimental Crystal Structure Determination

description: Related Article: Yifan Guo, Zongsu Han, Hui Min, Zhonghang Chen, Tiankai Sun, Liang Wang, Wei Shi, Peng Cheng|2021|Inorg.Chem.|60|9192|doi:10.1021/acs.inorgchem.1c01251
DOI: 10.5517/ccdc.csd.cc279tyb
title: CCDC 2065032: Experimental Crystal Structure Determination

description: Related Article: Tian-Yu Liu, Xiang-Long Qu, Yu Zhang, Bing Yan|2021|Inorg.Chem.|60|8613|doi:10.1021/acs.inorgchem.1c00589
DOI: 10.5517/ccdc.csd.cc27dr7n
title: CCDC 2067831: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.5517/ccdc.csd.cc27dr8p
title: CCDC 2067832: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.5517/ccdc.csd.cc27dr9q
title: CCDC 2067833: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.5517/ccdc.csd.cc27drbr
title: CCDC 2067834: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.5517/ccdc.csd.cc27drcs
title: CCDC 2067835: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.5517/ccdc.csd.cc27drdt
title: CCDC 2067836: Experimental Crystal Structure Determination

description: Related Article: Timo Rabe, Erik Svensson Grape, Hauke Rohr, Helge Reinsch, Stephan Wöhlbrandt, Alexandra Lieb, A. Ken Inge, Norbert Stock|2021|Inorg.Chem.|60|8861|doi:10.1021/acs.inorgchem.1c00767
DOI: 10.25646/8703
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6073/pasta/ca5a3f75de9032438a0098fde11b06a4
title: Impacts of Land Use on Japanese Barberry Invasion in Central Massachusetts 2005

description: Despite the recognized importance of historical factors in controlling many native species distributions, few studies have incorporated historical landscape changes into models of invasive species distribution and abundance. We explore the possibility that the current distribution of invasive species may reflect legacies of historical land use despite nearly a century of forest succession and subsequent disturbances. We evaluated the modern distribution and abundance of Berberis thunbergii DC. (Japanese barberry), a problematic non-native shrub in forests of the northeastern U.S., relative to two distinct periods of historical land use, modern forest harvesting activity, and environmental and edaphic characteristics. Species questions addressed in this study include: (1) Do patterns of historical land use influence modern barberry distribution and abundance? (2) What is the influence of disturbance type and timing relative to the timing of introduction on current barberry distribution and abundance? (3) Which disturbance, environmental and edaphic variables best predict modern barberry distribution and abundance? Japanese barberry occurred more frequently and was more abundant in sites historically cleared for agriculture than in historically wooded sites. This relationship was strongest for areas in agriculture in the early 20th century after barberry was introduced to the region. The strong relationship between modern distribution patterns and prior land use suggests historical colonization of abandoned agricultural lands and persistence through subsequent reforestation. Contrary to our expectations, recent forest harvesting did not influence the occurrence or abundance of barberry. Our results indicate that interpretations of both native community composition and modern plant invasions must consider the importance of historical landscape changes and the timing of species introduction along with current environmental and edaphic conditions.
DOI: 10.5281/zenodo.4747428
title: Rapid formation of an ice doline on Amery Ice Shelf, East Antarctica

description: Data and code for: <em>Warner, R., Fricker, H., Adusumilli, S., Arndt, P., Kingslake, J., & Spergel, J. (2021). Rapid formation of an ice doline on Amery Ice Shelf, East Antarctica. </em>
description: Funders: National Aeronautics and Space Administration Grant Number: NASA ICESat-2 ST Award No. 80NSSC20K0977 Recipient: Helen A. Fricker / National Aeronautics and Space Administration Grant Number: NASA Earth and Space Science Fellowship (NESSF) Award No. 80NSSC18K1424 Recipient: Susheel Adusumilli / National Aeronautics and Space Administration Grant Number: Future Investigators in NASA Earth and Space Science and Technology (FINESST) Award No. 80NSSC20K1666 Recipient: Philipp Sebastian Arndt / National Science Foundation Grant Number: National Science Foundation Grant No. OPP-1743310 Recipient: Julian Jacob Spergel / National Science Foundation Grant Number: National Science Foundation Grant No. OPP-1743310 Recipient: Jonathan Kingslake
DOI: 10.5281/zenodo.4747427
title: Rapid formation of an ice doline on Amery Ice Shelf, East Antarctica

description: Data and code for: <em>Warner, R., Fricker, H., Adusumilli, S., Arndt, P., Kingslake, J., & Spergel, J. (2021). Rapid formation of an ice doline on Amery Ice Shelf, East Antarctica. </em>
description: Funders: National Aeronautics and Space Administration Grant Number: NASA ICESat-2 ST Award No. 80NSSC20K0977 Recipient: Helen A. Fricker / National Aeronautics and Space Administration Grant Number: NASA Earth and Space Science Fellowship (NESSF) Award No. 80NSSC18K1424 Recipient: Susheel Adusumilli / National Aeronautics and Space Administration Grant Number: Future Investigators in NASA Earth and Space Science and Technology (FINESST) Award No. 80NSSC20K1666 Recipient: Philipp Sebastian Arndt / National Science Foundation Grant Number: National Science Foundation Grant No. OPP-1743310 Recipient: Julian Jacob Spergel / National Science Foundation Grant Number: National Science Foundation Grant No. OPP-1743310 Recipient: Jonathan Kingslake
DOI: 10.6084/m9.figshare.14847729.v1
title: Anderson herbicide damage 1985

description: Student paper evaluating Anderson Prairie one year after it was sprayed with herbicides.<br>
DOI: 10.6084/m9.figshare.14847729
title: Anderson herbicide damage 1985

description: Student paper evaluating Anderson Prairie one year after it was sprayed with herbicides.<br>
DOI: 10.6073/pasta/d336ec548611a073dd51afd58ce0d763
title: CO2 Profile at Harvard Forest HEM and LPH Towers since 2009

description: Carbon dioxide profile measurements are designed to supplement eddy flux measurements in calculating the carbon exchange of a forest. In the case of the Harvard Forest flux towers, the change in CO2 storage between the ground and the height of the eddy flux system during each half hour must be added to the eddy flux measured above the forest to determine the total carbon exchange. The profile measurements are also necessary in order to calculate CO2 movement by advection, or horizontal air transport. The amount of CO2 removed from a particular site by advection is the product of the total CO2 within the air a given range of height above the ground, and the average velocity of airflow parallel to the ground surface within that height range.
DOI: 10.25790/bml0cm.74
title: Google
DOI: 10.6084/m9.figshare.14847726.v1
title: Schwegel et al. Fruiting scores

description: Monthly ripe and unripe fruiting scores for trees at Lake Nabugabo, Uganda, for June 2011 to January 2020.
DOI: 10.6084/m9.figshare.14847726
title: Schwegel et al. Fruiting scores

description: Monthly ripe and unripe fruiting scores for trees at Lake Nabugabo, Uganda, for June 2011 to January 2020.
DOI: 10.25790/bml0cm.75
title: Google
DOI: 10.6073/pasta/b8808562c5d2ab783c26b13e58ac2797
title: Simulating Intrastand Movement of Hemlock Woolly Adelgid at Harvard Forest 2009

description: The hemlock woolly adelgid (HWA), Adelges tsugae Annand (Hemiptera: Adelgidae), has spread rapidly across the eastern USA since its introduction from Japan 60 years ago, causing widespread mortality of both eastern hemlock [Tsuga canadensis (L.) Carriere] and Carolina hemlock [Tsuga caroliniana Engelm. (Pinaceae)]. Although HWA spread patterns have been repeatedly analyzed at regional scales, comparatively little is known about its dispersal potential within and between hemlock stands. As the small size and clonal nature of HWA make it nearly impossible to identify the source populations of dispersing individuals, we simulated intrastand HWA movement in the field by monitoring the movement of clumps of fluorescent powder that are slightly larger than HWA, but much easier to detect in the forest understory. Using three hemlock trees with three colors of fluorescent powder as source populations, we detected dispersal events at the farthest distances within our trapping array (400 m). However, more than 90% of dispersal events were less than 25 m. Dispersal patterns were similar from all three source trees and the distribution of dispersal distances in all cases could be described by lognormal probability density functions with mean dispersal distance of 12-14 m, suggesting that dispersal was relatively independent of location of source trees. In general, we documented tens of thousands of passive dispersal events in the forest understory despite the presence of a dense forest canopy. Thus, even under relatively light-wind conditions, particles of similar dimensions to HWA are capable of intra-stand movement, suggesting that a large population of HWA could rapidly infest other trees within several hundred meter radius, or beyond.
DOI: 10.6084/m9.figshare.14847750
title: Schwegel et al. Weather data

description: Extrapolated weather data from June 2011-2020 from World Weather Online (https://www.worldweatheronline.com/) based on two weather stations nearest Lake Nabugabo, including Entebbe International Airport (0°03’ N, 32°28’ E; 80 km northeast of Nabugabo) and Mbarara (0°36’ S, 30°40’ E; 137 km southwest of Nabugabo). We used the inverse distance weighting (IDW) method to estimate weather parameters at Lake Nabugabo by interpolating weather conditions at the field site (Teegavarapu and Chandramouli 2005).
DOI: 10.6084/m9.figshare.14847750.v1
title: Schwegel et al. Weather data

description: Extrapolated weather data from June 2011-2020 from World Weather Online (https://www.worldweatheronline.com/) based on two weather stations nearest Lake Nabugabo, including Entebbe International Airport (0°03’ N, 32°28’ E; 80 km northeast of Nabugabo) and Mbarara (0°36’ S, 30°40’ E; 137 km southwest of Nabugabo). We used the inverse distance weighting (IDW) method to estimate weather parameters at Lake Nabugabo by interpolating weather conditions at the field site (Teegavarapu and Chandramouli 2005).
DOI: 10.25790/bml0cm.77
title: Google
DOI: 10.5281/zenodo.5032431
title: NNk_DTI

description: These are the code and datasets to reproduce all findings from the following paper: Playe, B., Stoven, V. Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity. <em>J Cheminform</em> <strong>12, </strong>11 (2020). https://doi.org/10.1186/s13321-020-0413-0
DOI: 10.5281/zenodo.5032430
title: NNk_DTI

description: These are the code and datasets to reproduce all findings from the following paper: Playe, B., Stoven, V. Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity. <em>J Cheminform</em> <strong>12, </strong>11 (2020). https://doi.org/10.1186/s13321-020-0413-0
DOI: 10.5281/zenodo.4963847
title: Raw data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes"

description: Raw NMR, MS and IR data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes" published in Organic Letters, DOI: https://pubs.acs.org/doi/10.1021/acs.orglett.1c01775 The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.
DOI: 10.5281/zenodo.4963846
title: Raw data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes"

description: Raw NMR, MS and IR data for the article "Synthesis of Quinolines via the Metal-Free Visible-Light-Mediated Radical Azidation of Cyclopropenes" published in Organic Letters, DOI: https://pubs.acs.org/doi/10.1021/acs.orglett.1c01775 The number of the folders correspond to compounds numbers in the article. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.
DOI: 10.6084/m9.figshare.14847840
title: Topographic study of Kettlehole vegetation 2018

description: Student project examining the vegetation and soil moisture of the east-facing and west-facing slopes at the Freda Haffner Kettlehole in Dickinson county. Data set (with metadata) and methods description included<br>
DOI: 10.6084/m9.figshare.14847840.v2
title: Topographic study of Kettlehole vegetation 2018

description: Student project examining the vegetation and soil moisture of the east-facing and west-facing slopes at the Freda Haffner Kettlehole in Dickinson county. Data set (with metadata) and methods description included<br>
DOI: 10.6084/m9.figshare.14847840.v1
title: Topographic study of Kettle hole 2018

description: Student project examining the vegetation and soil moisture of the east-facing and west-facing slopes at the Freda Haffner Kettlehole in Dickinson county. Data set (with metadata) and methods description included<br>
DOI: 10.48329/yd1q-y282
title: CPRD Aurum Small Area data (practice) March 2021

description: The general practice postcode linkages are available for all practices in CPRD GOLD and CPRD Aurum and use the general practice postcode which is linked via LSOA, SOA in Northern Ireland and datazone (DZ) in Scotland. The general practice postcode linkage includes several well-known area-based measures of deprivation, of which two (Index of Multiple Deprivation and Carstairs Index) are available at the LSOA level for linkage to CPRD primary care data through the practice postcode. Access is provided by CPRD subject to protocol approval. Further information is available at https://www.cprd.com/linked-data.
DOI: 10.17632/y4zz26pdzk.1
title: Dataset on the environmental and social footprint of the University of the Basque Country UPV/EHU

description: The organisational life cycle assessment (OLCA) and the social life cycle assessment (S-LCA) of the University of the Basque Country UPV/EHU were conducted. Bueno et al. (2021) used this dataset for the calculation of the environmental and social footprint of the University of the Basque Country UPV/EHU for year 2016. This dataset provides detailed information on the UPV/EHU and the boundaries considered; on the compilation and quantification of the life cycle inventory (LCI), which included a transport survey conducted in summer 2018; and on the modelling process followed for the calculation of the environmental and social footprints, based on the Ecoinvent 3.3 database and PSILCA-based Soca v1 add-on, and carried out with the openLCA free software. The dataset also includes the life cycle impact assessment (LCIA) results provided by the CML (baseline, 2015) and ReCiPe (endpoint (H), 2008) LCIA methods and post-processed social impacts provided by the Social Impacts Weighting Method, disaggregated by subprocesses and impact locations. Data is provided for the reference year (2016), and some aggregated data is also provided for alternative scenarios that were explored in order to check pathways to reduce social and environmental impacts of the academic activity of the UPV/EHU. This dataset may be used as a reference for future calculations of the environmental and social footprint of higher education institutions and other organisations. G. Bueno, M. de Blas, E. Pérez-Iribarren, I. Zuazo, E. Torre-Pascual, A. Erauskin, I. Etxano, U. Tamayo, M. García, O. Akizu-Gardoki, I. León, C. Marieta, G. Zulueta, I. Barrio, The environmental and social footprint of the University of the Basque Country (UPV/EHU), J. Clean. Prod. (2021).