cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.988754.v1
title: Austrian Science Fund (FWF) Publication Cost Data 2013

description: Following the Wellcome Trust, the Austrian Science Fund (FWF) makes its publication costs spent in 2013 (esp. for Open Access) publically available. An aggregated version of this dataset is already published in FWF's annual report 2013 (p. 86), http://www.fwf.ac.at/de/public_relations/publikationen/jahresberichte/fwf-jahresbericht-2013.pdf The dataset includes payments for journal articles of authors funded by the Austrian Science Fund (FWF) via the program ‘Peer Reviewed Publications’, http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html The dataset distinguishes between three publication cost categories: (1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html (3) ‘Other publication costs’ are defined as additional costs to subscription prices charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges). Based on this data and the data of Web of Science (WoS), we roughly estimate for 2013 a share for Gold and Hybrid OA of around 33% of all articles (incl. reviews) that result from projects supported by the FWF and which are listed in Web of Science. The analysis of this dataset together with the report “Developing an Effective Market for Open Access Article Processing Charges” (http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Open-access/Guides/WTP054773.htm) will lead to an adaption of the FWF’s Open Access policy within the next months. One model, for example, for a cost-neutral Hybrid Open Access is already in place: http://ioppublishing.org/newsDetails/Austria-open-access
DOI: 10.6084/m9.figshare.988754.v2
title: Austrian Science Fund (FWF) Publication Cost Data 2013

description: Following the Wellcome Trust, the Austrian Science Fund (FWF) makes its publication costs spent in 2013 (esp. for Open Access) publically available. An aggregated version of this dataset is already published in FWF's annual report 2013 (p. 86), http://www.fwf.ac.at/de/public_relations/publikationen/jahresberichte/fwf-jahresbericht-2013.pdf The dataset includes payments for journal articles of authors funded by the Austrian Science Fund (FWF) via the program ‘Peer Reviewed Publications’, http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html The dataset distinguishes between three publication cost categories: (1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html (3) ‘Other publication costs’ are defined as additional costs to subscription prices charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges). Based on this data and the data of Web of Science (WoS), we roughly estimate for 2013 a share for Gold and Hybrid OA of around 33% of all articles (incl. reviews) that result from projects supported by the FWF and which are listed in Web of Science. The analysis of this dataset together with the report “Developing an Effective Market for Open Access Article Processing Charges” (http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Open-access/Guides/WTP054773.htm) will lead to an adaption of the FWF’s Open Access policy within the next months. One model, for example, for a cost-neutral Hybrid Open Access is already in place: http://ioppublishing.org/newsDetails/Austria-open-access
DOI: 10.6084/m9.figshare.988754.v4
title: Austrian Science Fund (FWF) Publication Cost Data 2013

description: Following the Wellcome Trust, the Austrian Science Fund (FWF) makes its publication costs spent in 2013 (esp. for Open Access) publically available. An aggregated version of this dataset is already published in FWF's annual report 2013 (p. 86), http://www.fwf.ac.at/de/public_relations/publikationen/jahresberichte/fwf-jahresbericht-2013.pdf The dataset includes payments for journal articles of authors funded by the Austrian Science Fund (FWF) via the program ‘Peer Reviewed Publications’, http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html The dataset distinguishes between three publication cost categories: (1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html (3) ‘Other publication costs’ are defined as additional costs to subscription prices charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges). Based on this data and the data of Web of Science (WoS), we roughly estimate for 2013 a share for Gold and Hybrid OA of around 33% of all articles (incl. reviews) that result from projects supported by the FWF and which are listed in Web of Science. The analysis of this dataset together with the report “Developing an Effective Market for Open Access Article Processing Charges” (http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Open-access/Guides/WTP054773.htm) will lead to an adaption of the FWF’s Open Access policy within the next months. One model, for example, for a cost-neutral Hybrid Open Access is already in place: http://ioppublishing.org/newsDetails/Austria-open-access
DOI: 10.6084/m9.figshare.988754.v3
title: Austrian Science Fund (FWF) Publication Cost Data 2013

description: Following the Wellcome Trust, the Austrian Science Fund (FWF) makes its publication costs spent in 2013 (esp. for Open Access) publically available. An aggregated version of this dataset is already published in FWF's annual report 2013 (p. 86), http://www.fwf.ac.at/de/public_relations/publikationen/jahresberichte/fwf-jahresbericht-2013.pdf The dataset includes payments for journal articles of authors funded by the Austrian Science Fund (FWF) via the program ‘Peer Reviewed Publications’, http://www.fwf.ac.at/en/projects/peer-reviewed_publications.html The dataset distinguishes between three publication cost categories: (1) Gold Open Access and (2) Hybrid Open Access are defined by FWF's Open Access Policy, see: http://www.fwf.ac.at/en/public_relations/oai/index.html (3) ‘Other publication costs’ are defined as additional costs to subscription prices charged by subscription journals (i.e. submission fees, colour charges, page charges, figure charges, table charges, supplemental charges). Based on this data and the data of Web of Science (WoS), we roughly estimate for 2013 a share for Gold and Hybrid OA of around 33% of all articles (incl. reviews) that result from projects supported by the FWF and which are listed in Web of Science. The analysis of this dataset together with the report “Developing an Effective Market for Open Access Article Processing Charges” (http://www.wellcome.ac.uk/About-us/Policy/Spotlight-issues/Open-access/Guides/WTP054773.htm) will lead to an adaption of the FWF’s Open Access policy within the next months. One model, for example, for a cost-neutral Hybrid Open Access is already in place: http://ioppublishing.org/newsDetails/Austria-open-access
DOI: 10.6084/m9.figshare.12470030
title: Retrospective profile of 286 men with penile cancer in Maranhão (2004 - 2014)

description: Databank of the profile of 286 men with penile cancer in Maranhão – Northeast Brazil (2004 - 2014)<br>
DOI: 10.6084/m9.figshare.988732
title: A selective supramolecular photochemical sensor for dopamine

description: Dopamine (DA) is an important biomarker for diseases and biological disorders. Existing techniques for DA detection suffer from drawbacks including low sensitivity and selectivity as well as interfering signals from non-target molecules. A simple and selective photochemical sensor for the determination of DA in a supramolecular manner is presented. This approach utilises the complexation properties of a highly fluorescent water-soluble complex of perylene bis(diimide) dye with the macrocyclic host cucurbit[8]uril. The method can be used for the determination of DA in aqueous media, with detection limits below 2 × 10<sup>− 5</sup> M, even in the presence of known interferents including ascorbic acid and the catecholamines epinephrine and norepinepherine.
DOI: 10.6084/m9.figshare.12470030.v3
title: Retrospective profile of 286 men with penile cancer in Maranhão (2004 - 2014)

description: Databank of the profile of 286 men with penile cancer in Maranhão – Northeast Brazil (2004 - 2014)<br>
DOI: 10.6084/m9.figshare.988732.v1
title: A selective supramolecular photochemical sensor for dopamine

description: Dopamine (DA) is an important biomarker for diseases and biological disorders. Existing techniques for DA detection suffer from drawbacks including low sensitivity and selectivity as well as interfering signals from non-target molecules. A simple and selective photochemical sensor for the determination of DA in a supramolecular manner is presented. This approach utilises the complexation properties of a highly fluorescent water-soluble complex of perylene bis(diimide) dye with the macrocyclic host cucurbit[8]uril. The method can be used for the determination of DA in aqueous media, with detection limits below 2 × 10<sup>− 5</sup> M, even in the presence of known interferents including ascorbic acid and the catecholamines epinephrine and norepinepherine.
DOI: 10.6084/m9.figshare.988732.v2
title: A selective supramolecular photochemical sensor for dopamine

description: Dopamine (DA) is an important biomarker for diseases and biological disorders. Existing techniques for DA detection suffer from drawbacks including low sensitivity and selectivity as well as interfering signals from non-target molecules. A simple and selective photochemical sensor for the determination of DA in a supramolecular manner is presented. This approach utilises the complexation properties of a highly fluorescent water-soluble complex of perylene bis(diimide) dye with the macrocyclic host cucurbit[8]uril. The method can be used for the determination of DA in aqueous media, with detection limits below 2 × 10<sup>− 5</sup> M, even in the presence of known interferents including ascorbic acid and the catecholamines epinephrine and norepinepherine.
DOI: 10.6084/m9.figshare.988732.v4
title: A selective supramolecular photochemical sensor for dopamine

description: Dopamine (DA) is an important biomarker for diseases and biological disorders. Existing techniques for DA detection suffer from drawbacks including low sensitivity and selectivity as well as interfering signals from non-target molecules. A simple and selective photochemical sensor for the determination of DA in a supramolecular manner is presented. This approach utilises the complexation properties of a highly fluorescent water-soluble complex of perylene bis(diimide) dye with the macrocyclic host cucurbit[8]uril. The method can be used for the determination of DA in aqueous media, with detection limits below 2 × 10<sup>− 5</sup> M, even in the presence of known interferents including ascorbic acid and the catecholamines epinephrine and norepinepherine.
DOI: 10.6084/m9.figshare.988732.v3
title: A selective supramolecular photochemical sensor for dopamine

description: Dopamine (DA) is an important biomarker for diseases and biological disorders. Existing techniques for DA detection suffer from drawbacks including low sensitivity and selectivity as well as interfering signals from non-target molecules. A simple and selective photochemical sensor for the determination of DA in a supramolecular manner is presented. This approach utilises the complexation properties of a highly fluorescent water-soluble complex of perylene bis(diimide) dye with the macrocyclic host cucurbit[8]uril. The method can be used for the determination of DA in aqueous media, with detection limits below 2 × 10<sup>− 5</sup> M, even in the presence of known interferents including ascorbic acid and the catecholamines epinephrine and norepinepherine.
DOI: 10.6084/m9.figshare.988699
title: L-SR nanojunction study data

description: Figure_1_ms_suppl.csv<br>Calcium fluorescence<br>Fura-2-AM calcium fluorescence imaging data set used to produce the graphs in Figure 1 of the manuscript as well as Figure 1 in the supplement file to the main manuscript. Data are in a csv file with columns headers for indicating the data in each column. Figure_2_B-D.csv<br>L-SR characterization<br>Data for image analysis statistics shown in Figure 2B-D and gathered from transmission electron micrographs. Data are in comma-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_6A.txt<br>TPC2 open probability vs lysosomal luminal [Ca2+]<br>Data used for plot in Figure 6A and obtained from analysis of experimental results in Pitt S et al 2010 (see manuscript references). Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_6B.txt<br>TPC2 Ca2+ release rate vs time<br>Data used for plot in Figure 6B and obtained as described in section “L-SR junctional Ca2+ signal”. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7A_20_nm.txt, Figure_7A_50_nm.txt, Figure_7A_100_nm.txt<br>Nanojunctional [Ca2+] vs time<br>Data for plot in Figure 7A and obtained as average over 100 simulations each started with a different random number generator seed (as described in section “L-SR junctional Ca2+ signal”). The files contain data from simulations with L-SR junctional separations of 20, 50 and 100 nm, respectively. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7B.txt<br>Nanojunctional [Ca2+] vs L-SR separation distance<br>Data for plot in Figure 7B, solid circles, obtained by temporal average of data in figure 7A over entire time interval. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7B_short_t_avg.txt<br>Nanojunctional [Ca2+] vs L-SR separation distance<br>Data for plot in Figure 7B, empty circles, obtained by temporal average of data in figure 7A over a shorter time interval, as described in section “Reconciling the temporal scales in simulation and experimental results”. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column.
DOI: 10.6084/m9.figshare.988687
title: Data, code, and figures from Dunnette et al. 2014, Biogeochemical impacts of wildfires over four millennia in a Rocky Mountain subalpine watershed. New Phytologist. 203: 900-912 (doi: 10.1111/nph.12828)

description: SEE README.pdf OR README.md This archive includes data and scripts needed to reproduce the analyses in Dunnette et al. 2014; it includes 49 files and is 23 MB when downloaded as a .zip archive. After extracting the .zip archive, sort by file type. Most data files are in .csv format, while some are in .xls format. Scripts and functions are written for MATLAB software (*.m file type; www.mathworks.com), and each file is fully commented, including dependencies. For some scripts or functions, the MATLAB statistics or curve fitting toolbox is required; all other functions required are provided in this archive. Dunnette, P.V., P.E. Higuera, K.K. McLauchlan, K.M. Derr, C.E. Briles, and M.H. Keefe. 2014. Biogeochemical impacts of wildfires over four millennia in a Rocky Mountain<br>subalpine watershed. New Phytologist In Press doi: 10.1111/nph.12828
DOI: 10.6084/m9.figshare.988696
title: Mammalian Trophic Level and Body Size

description: Appendix S1 Database of body size, trophic level and predator-prey ratios including sources from Tucker, M.A. & Rogers, T.L. Predictors of predator-prey body size, trophic level and body mass in mammals
DOI: 10.6084/m9.figshare.988671
title: Pollen data from Ruppert Lake, south-central Brooks Range, Alaska

description: Data from:<br>Higuera, P. E., L. B. Brubaker, P. M. Anderson, F. S. Hu, and T. A. Brown. 2009.<br>Vegetation mediated the impacts of postglacial climate change on fire regimes<br>in the south-central Brooks Range, Alaska. Ecological Monographs 79:201-219. For each site, Code (CO), Ruppert (RP), Wild Tussock (WK), and Xindi (XI), there<br>are the six files: 1. xx_age_depth_data.txt – Depth (cm) and age (cal yr BP) from the published<br>age-depth model. 2. xx_age_depth_fig.pdf – Figure of the age-depth model, ¼ of Fig. 2 in Higuera<br>et al. (2009) 3. xx_charData.csv – Charcoal data in a CharAnalysis input file. Units are in the<br>column headers: See https://sites.google.com/site/charanalysis/ for more details. 4. xx_charParams.csv – Parameter file CharAnalysis, with parameters as used in the<br>original publication. See https://sites.google.com/site/charanalysis/ for more details. 5. xx_charResults.csv – CharAnalysis results file. Units are in the<br>column headers: See https://sites.google.com/site/charanalysis/ for more details. 6. xx_pollen.xls – Pollen counts for each sample. The tab “pollen_counts” and<br>“pollen_cm” contains raw the same data as in the tab “data” but in a raw format<br>used for plotting. Ages associated with each pollen sample have to be obtained<br>from the “xx_age_depth_data.txt” file, or from the appropriate column in the<br>“charData” file in the “xx_char.xls” file. Radiocarbon dates from each site are in the file “Higuera_et_al_2009_Table_B1”<br>in the folder titled “C14_dates” as published here:<br>http://www.esapubs.org/archive/mono/M079/007/ CONTACT:<br>Philip Higuera<br>phiguera@uidaho.edu<br>pehiguera@gmail.com Key words: Arctic, boreal forest, climate change, pollen analysis, tundra, shrub tundra,<br>paleoecology, Gates of the Arctic National Park Taxa: Alnus, Artemisia, Cyperaceae, Betula, Picea mariana, Picea glauca, Populus, Poaceae,<br>Salix, Sphagnum, Pediastrum
DOI: 10.6084/m9.figshare.988652
title: Data from Higuera et al. 2009. Vegetation mediated the impacts of postglacial climate change on fire regimes in the south-central Brooks Range, Alaska. Ecological Monographs. 79: 201-219.

description: Data from:<br>Higuera, P. E., L. B. Brubaker, P. M. Anderson, F. S. Hu, and T. A. Brown. 2009.<br>Vegetation mediated the impacts of postglacial climate change on fire regimes<br>in the south-central Brooks Range, Alaska. Ecological Monographs 79:201-219. For each site, Code (CO), Ruppert (RP), Wild Tussock (WK), and Xindi (XI), there<br>are the six files: 1. xx_age_depth_data.txt – Depth (cm) and age (cal yr BP) from the published<br>age-depth model. 2. xx_age_depth_fig.pdf – Figure of the age-depth model, ¼ of Fig. 2 in Higuera<br>et al. (2009) 3. xx_charData.csv – Charcoal data in a CharAnalysis input file. Units are in the<br>column headers: See https://sites.google.com/site/charanalysis/ for more details. 4. xx_charParams.csv – Parameter file CharAnalysis, with parameters as used in the<br>original publication. See https://sites.google.com/site/charanalysis/ for more details. 5. xx_charResults.csv – CharAnalysis results file. Units are in the<br>column headers: See https://sites.google.com/site/charanalysis/ for more details. 6. xx_pollen.xls – Pollen counts for each sample. The tab “pollen_counts” and<br>“pollen_cm” contains raw the same data as in the tab “data” but in a raw format<br>used for plotting. Ages associated with each pollen sample have to be obtained<br>from the “xx_age_depth_data.txt” file, or from the appropriate column in the<br>“charData” file in the “xx_char.xls” file. Radiocarbon dates from each site are in the file “Higuera_et_al_2009_Table_B1”<br>in the folder titled “C14_dates” as published here:<br>http://www.esapubs.org/archive/mono/M079/007/ CONTACT:<br>Philip Higuera<br>phiguera@uidaho.edu<br>pehiguera@gmail.com Key words: Arctic, boreal forest, climate change, pollen analysis, tundra, shrub tundra,<br>paleoecology, Gates of the Arctic National Park Taxa: Alnus, Artemisia, Cyperaceae, Betula, Picea mariana, Picea glauca, Populus, Poaceae,<br>Salix, Sphagnum, Pediastrum
DOI: 10.6084/m9.figshare.988699.v1
title: L-SR nanojunction study data

description: Figure_1_ms_suppl.csv<br>Calcium fluorescence<br>Fura-2-AM calcium fluorescence imaging data set used to produce the graphs in Figure 1 of the manuscript as well as Figure 1 in the supplement file to the main manuscript. Data are in a csv file with columns headers for indicating the data in each column. Figure_2_B-D.csv<br>L-SR characterization<br>Data for image analysis statistics shown in Figure 2B-D and gathered from transmission electron micrographs. Data are in comma-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_6A.txt<br>TPC2 open probability vs lysosomal luminal [Ca2+]<br>Data used for plot in Figure 6A and obtained from analysis of experimental results in Pitt S et al 2010 (see manuscript references). Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_6B.txt<br>TPC2 Ca2+ release rate vs time<br>Data used for plot in Figure 6B and obtained as described in section “L-SR junctional Ca2+ signal”. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7A_20_nm.txt, Figure_7A_50_nm.txt, Figure_7A_100_nm.txt<br>Nanojunctional [Ca2+] vs time<br>Data for plot in Figure 7A and obtained as average over 100 simulations each started with a different random number generator seed (as described in section “L-SR junctional Ca2+ signal”). The files contain data from simulations with L-SR junctional separations of 20, 50 and 100 nm, respectively. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7B.txt<br>Nanojunctional [Ca2+] vs L-SR separation distance<br>Data for plot in Figure 7B, solid circles, obtained by temporal average of data in figure 7A over entire time interval. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column. Figure_7B_short_t_avg.txt<br>Nanojunctional [Ca2+] vs L-SR separation distance<br>Data for plot in Figure 7B, empty circles, obtained by temporal average of data in figure 7A over a shorter time interval, as described in section “Reconciling the temporal scales in simulation and experimental results”. Data are in space/tab-separated columns in a simple text file. Column headers indicate the quantity and units listed in each column.
DOI: 10.6084/m9.figshare.988624
title: Slides and images for talks and posters

description: This file set contains slides and figures commonly used in talks or posters present by myself, colleagues, or others in the PaleoEcology and Fire Ecology Lab.