cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4007496
title: Collaborative mapping of emerging cities in developing countries: the <i>León Emergente</i> project

description: In the expanding constellation of collaborative map-making initiatives, a growing number of small local projects coexist along with more ambitious and global ones. In developing countries, their existence is not only compatible and complementary, but also necessary, since they meet different needs and pursue diverse and essential objectives, in addition to collecting and sharing geo-located data. In this context, this paper describes the <i>León Emergente</i> initiative, a collaborative living atlas for the city of León in Nicaragua. The results are presented through two main maps that illustrate, for the first time, the formal and informal economic activity of the city as well as the health facilities in relation to the distribution of population across the city. The paper also describes the <i>Leon Emergente</i> online platform and presents a number of online maps that not only represent, but also collect data on different urban aspects and dynamics.
DOI: 10.6084/m9.figshare.4007496.v1
title: Collaborative mapping of emerging cities in developing countries: the <i>León Emergente</i> project

description: In the expanding constellation of collaborative map-making initiatives, a growing number of small local projects coexist along with more ambitious and global ones. In developing countries, their existence is not only compatible and complementary, but also necessary, since they meet different needs and pursue diverse and essential objectives, in addition to collecting and sharing geo-located data. In this context, this paper describes the <i>León Emergente</i> initiative, a collaborative living atlas for the city of León in Nicaragua. The results are presented through two main maps that illustrate, for the first time, the formal and informal economic activity of the city as well as the health facilities in relation to the distribution of population across the city. The paper also describes the <i>Leon Emergente</i> online platform and presents a number of online maps that not only represent, but also collect data on different urban aspects and dynamics.
DOI: 10.6084/m9.figshare.4007520.v1
title: MicroMesoForecast

description: Data and code associated with Tredennick et al. (2016), "Do we need demographic data to forecast plant population dynamics?", to appear in <i>Methods in Ecology and Evolution. </i>Most simulation and modeling result files are not included due to file size constraints. Likewise, some data files will need to be moved around for the code to work in the current directory structure. Therefore, if you are really interested in running specific analyses, please visit the GitHub repository for this work: https://github.com/atredennick/MicroMesoForecast.<br>Code is uploaded in two filesets: analysis and figure_table_scripts. See readme files therein for descriptions.<br><br>
DOI: 10.7910/dvn/v1rjpf/zzwwq2
title: ykc20161108_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007484
title: Osteology and affinities of Dollo's goniopholidid (Mesoeucrocodylia) from the Early Cretaceous of Bernissart, Belgium

description: Two specimens originally referred by Louis Dollo to <i>Goniopholis simus</i> from the Lower Cretaceous of Bernissart, Belgium, are described. They consist of fully articulated skeletons, one missing the skull and mandible. Comparison of these specimens with recently revised specimens from the Wealden of England allows confirmation that the Belgian specimens are referable to the goniopholidid <i>Anteophthalmosuchus hooleyi</i>. The Belgian specimens are the most completely known representatives not only of this species but also of any Goniopholididae. Study of the postcranial skeletons from Bernissart reveals that the appendicular skeleton closely resembles that of derived neosuchians. The dorsal and ventral shields present a morphology directly comparable to other goniopholidids and pholidosaurids. Such observations stress the necessity to gather an osteological database of postcranial elements to test relationships of the various neosuchian lineages. Goniopholididae were relatively diverse during the Early Cretaceous of Europe, and depending on taxonomic opinion, three to five genera are recognized: <i>Anteophthalmosuchus, Goniopholis, Hulkepholis</i>, and possibly <i>Vectisuchus</i> and <i>Nannosuchus</i>. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Martin, J. E., M. Delfino, and T. Smith. 2016. Osteology and affinities of Dollo's goniopholidid (Mesoeucrocodylia) from the Early Cretaceous of Bernissart, Belgium. Journal of Vertebrate Paleontology. DOI: 10.1080/02724634.2016.1222534.
DOI: 10.6084/m9.figshare.4007484.v1
title: Osteology and affinities of Dollo's goniopholidid (Mesoeucrocodylia) from the Early Cretaceous of Bernissart, Belgium

description: Two specimens originally referred by Louis Dollo to <i>Goniopholis simus</i> from the Lower Cretaceous of Bernissart, Belgium, are described. They consist of fully articulated skeletons, one missing the skull and mandible. Comparison of these specimens with recently revised specimens from the Wealden of England allows confirmation that the Belgian specimens are referable to the goniopholidid <i>Anteophthalmosuchus hooleyi</i>. The Belgian specimens are the most completely known representatives not only of this species but also of any Goniopholididae. Study of the postcranial skeletons from Bernissart reveals that the appendicular skeleton closely resembles that of derived neosuchians. The dorsal and ventral shields present a morphology directly comparable to other goniopholidids and pholidosaurids. Such observations stress the necessity to gather an osteological database of postcranial elements to test relationships of the various neosuchian lineages. Goniopholididae were relatively diverse during the Early Cretaceous of Europe, and depending on taxonomic opinion, three to five genera are recognized: <i>Anteophthalmosuchus, Goniopholis, Hulkepholis</i>, and possibly <i>Vectisuchus</i> and <i>Nannosuchus</i>. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Martin, J. E., M. Delfino, and T. Smith. 2016. Osteology and affinities of Dollo's goniopholidid (Mesoeucrocodylia) from the Early Cretaceous of Bernissart, Belgium. Journal of Vertebrate Paleontology. DOI: 10.1080/02724634.2016.1222534.
DOI: 10.7910/dvn/v1rjpf/9sffvd
title: ykc20170228_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007469
title: New cranial material of <i>Gilmoremys lancensis</i> (Testudines, Trionychidae) from the Hell Creek Formation of southeastern Montana, U.S.A.

description: Plastomenidae is a speciose clade of soft-shelled turtles (Trionychidae) known from Campanian to Eocene deposits throughout western North America. We here describe two large skulls from the Upper Cretaceous (Maastrichtian) Hell Creek Formation of Carter County, Montana, that document the adult morphology of the plastomenid <i>Gilmoremys lancensis</i>. Whereas juveniles of this species, as previously documented by five subadult skulls, have narrow skulls, a narrow processus trochlearis oticum, a deep and narrow median palatal groove, low accessory ridges, and a secondary palate fully formed by the maxilla, skeletally mature individuals have notably broad skulls, a broad processus trochlearis oticum, a shallow but broad median palatal groove, high accessory ridges, and a substantial contribution of the vomer to the secondary palate. An expanded phylogenetic analysis reveals that the Campanian <i>Aspideretoides foveatus</i> and the Paleocene <i>Aspideretoides superstes</i>, nov. comb., are situated within Plastomenidae as sister to all previously identified plastomenid turtles, despite their general resemblance to trionychine soft-shelled turtles. The name <i>Aspideretoides</i> should therefore not be used as a taxonomic wastebasket for fossil trionychids with unclear phylogenetic relationships. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Joyce, W. G., T. R. Lyson, and S. Williams. 2016. New cranial material of <i>Gilmoremys lancensis</i> (Testudines, Trionychidae) from the Hell Creek Formation of southeastern Montana, U.S.A. Journal of Vertebrate Paleontology, e1225748. DOI: 10.1080/02724634.2016.1225748.
DOI: 10.7910/dvn/v1rjpf/0nau37
title: ykc20160803_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007469.v1
title: New cranial material of <i>Gilmoremys lancensis</i> (Testudines, Trionychidae) from the Hell Creek Formation of southeastern Montana, U.S.A.

description: Plastomenidae is a speciose clade of soft-shelled turtles (Trionychidae) known from Campanian to Eocene deposits throughout western North America. We here describe two large skulls from the Upper Cretaceous (Maastrichtian) Hell Creek Formation of Carter County, Montana, that document the adult morphology of the plastomenid <i>Gilmoremys lancensis</i>. Whereas juveniles of this species, as previously documented by five subadult skulls, have narrow skulls, a narrow processus trochlearis oticum, a deep and narrow median palatal groove, low accessory ridges, and a secondary palate fully formed by the maxilla, skeletally mature individuals have notably broad skulls, a broad processus trochlearis oticum, a shallow but broad median palatal groove, high accessory ridges, and a substantial contribution of the vomer to the secondary palate. An expanded phylogenetic analysis reveals that the Campanian <i>Aspideretoides foveatus</i> and the Paleocene <i>Aspideretoides superstes</i>, nov. comb., are situated within Plastomenidae as sister to all previously identified plastomenid turtles, despite their general resemblance to trionychine soft-shelled turtles. The name <i>Aspideretoides</i> should therefore not be used as a taxonomic wastebasket for fossil trionychids with unclear phylogenetic relationships. SUPPLEMENTAL DATA—Supplemental materials are available for this article for free at www.tandfonline.com/UJVP Citation for this article: Joyce, W. G., T. R. Lyson, and S. Williams. 2016. New cranial material of <i>Gilmoremys lancensis</i> (Testudines, Trionychidae) from the Hell Creek Formation of southeastern Montana, U.S.A. Journal of Vertebrate Paleontology, e1225748. DOI: 10.1080/02724634.2016.1225748.
DOI: 10.7910/dvn/v1rjpf/gadiib
title: ykc20170708_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007451
title: The Carbon Holdings of Northern Ecuador's Mangrove Forests

description: Within a geographic information systems environment, we combine field measures of mangrove tree diameter, mangrove species distribution, and mangrove tree density with remotely sensed measures of mangrove location and mangrove canopy cover to estimate the mangrove carbon holdings of northern Ecuador. We find that the four northern estuaries of Ecuador contain approximately 7,742,999 t (±15.47 percent) of standing carbon. Of particularly high carbon holdings are the <i>Rhizophora mangle</i>–dominated mangrove stands found in and around the Cayapas-Mataje Ecological Reserve in northern Esmeraldas Province, Ecuador, and certain stands of <i>Rhizophora mangle</i> in and around the Isla Corazón y Fragata Wildlife Refuge in central Manabí Province, Ecuador. Our field-driven mangrove carbon estimate is higher than all but one of the comparison models evaluated. We find that basic latitudinal mangrove carbon models performed at least as well, if not better, than the more complex species-based allometric models in predicting standing carbon levels. In addition, we find that improved results occur when multiple models are combined as opposed to relying on any one single model for mangrove carbon estimates. The high level of carbon contained in these mangrove forests, combined with the future atmospheric carbon sequestration potential they offer, makes it a necessity that they are included in any future payment for ecosystem services strategy aimed at using forest systems to offset CO<sub>2</sub> emissions and mitigate predicted CO<sub>2</sub>-driven temperature increases.
DOI: 10.7910/dvn/v1rjpf/otzm8a
title: ykc20170508_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007427
title: H2 Partially Stirred Reactor Database

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for the Burke H2 Model (http://onlinelibrary.wiley.com/doi/10.1002/kin.20603/abstract).<br>The data is saved in the numpy .npz format, and is organized as follows:<br>The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc.<br>The files correspond to the following inlet conditions:<br>0, 1, 2: 400, 600, 800 K at 1 atm3, 4, 5: 400, 600, 800 K at 10 atm6, 7, 8: 400, 600, 800 K at 25 atm<br>all with an equivalence ratio of one.<br>The individual file arrays are of size:<br>(1001, 100, 16)<br>The first column corresponds to the PaSR simulation time, the second to the particle number inside the PaSR, and the third column contains the themochemical state vectors, are ordered containing:<br>[time, temperature, pressure, mass fractions]<br><br>This database has been used in several works (See references for more information) for error validation and performance testing.<br><br>
DOI: 10.6084/m9.figshare.4007451.v1
title: The Carbon Holdings of Northern Ecuador's Mangrove Forests

description: Within a geographic information systems environment, we combine field measures of mangrove tree diameter, mangrove species distribution, and mangrove tree density with remotely sensed measures of mangrove location and mangrove canopy cover to estimate the mangrove carbon holdings of northern Ecuador. We find that the four northern estuaries of Ecuador contain approximately 7,742,999 t (±15.47 percent) of standing carbon. Of particularly high carbon holdings are the <i>Rhizophora mangle</i>–dominated mangrove stands found in and around the Cayapas-Mataje Ecological Reserve in northern Esmeraldas Province, Ecuador, and certain stands of <i>Rhizophora mangle</i> in and around the Isla Corazón y Fragata Wildlife Refuge in central Manabí Province, Ecuador. Our field-driven mangrove carbon estimate is higher than all but one of the comparison models evaluated. We find that basic latitudinal mangrove carbon models performed at least as well, if not better, than the more complex species-based allometric models in predicting standing carbon levels. In addition, we find that improved results occur when multiple models are combined as opposed to relying on any one single model for mangrove carbon estimates. The high level of carbon contained in these mangrove forests, combined with the future atmospheric carbon sequestration potential they offer, makes it a necessity that they are included in any future payment for ecosystem services strategy aimed at using forest systems to offset CO<sub>2</sub> emissions and mitigate predicted CO<sub>2</sub>-driven temperature increases.
DOI: 10.7910/dvn/v1rjpf/rpnfxb
title: ykc20170806_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/oapwrv
title: ykc20171030_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007427.v1
title: h2_pasr_data.bin

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0.<br>Used in several works for error validation and performance testing
DOI: 10.7910/dvn/v1rjpf/tyz474
title: ykc20160916_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007427.v2
title: H2 Partially Stirred Reactor Database

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for the Burke H2 Model (http://onlinelibrary.wiley.com/doi/10.1002/kin.20603/abstract).<br>The data is saved in the numpy .npz format, and is organized as follows:<br>The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc.<br>The files correspond to the following inlet conditions:<br>0, 1, 2: 400, 600, 800 K at 1 atm3, 4, 5: 400, 600, 800 K at 10 atm6, 7, 8: 400, 600, 800 K at 25 atm<br>all with an equivalence ratio of one.<br>The individual file arrays are of size:<br>(1001, 100, 16)<br>The first column corresponds to the PaSR simulation time, the second to the particle number inside the PaSR, and the third column contains the themochemical state vectors, are ordered containing:<br>[time, temperature, pressure, mass fractions]<br><br>This database has been used in several works (See references for more information) for error validation and performance testing.<br><br>
DOI: 10.7910/dvn/v1rjpf/b1d6be
title: ykc20171121_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007418
title: CH4 Partially Stirred Reactor Database

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0 (http://combustion.berkeley.edu/gri-mech/version30/text30.html).<br>The data is saved in the numpy .npz format, and is organized as follows:<br>The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc.<br>The files correspond to the following inlet conditions:<br>0, 1, 2: 400, 600, 800 K at 1 atm3, 4, 5: 400, 600, 800 K at 10 atm6, 7, 8: 400, 600, 800 K at 25 atm<br>all with an equivalence ratio of one.<br>The individual file arrays are of size:<br>(501, 100, 56)<br>The first column corresponds to the PaSR simulation time, the second to the particle number inside the PaSR, and the third column contains the themochemical state vectors, are ordered containing:<br>[time, temperature, pressure, mass fractions]<br><br>This database has been used in several works (See references for more information) for error validation and performance testing.
DOI: 10.7910/dvn/v1rjpf/jeo4xn
title: ykc20171229_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4007418.v1
title: ch4_pasr_data.bin

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0.<br>Used in several works for error validation and performance testing
DOI: 10.6084/m9.figshare.4007418.v2
title: CH4 Partially Stirred Reactor Database

description: A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0 (http://combustion.berkeley.edu/gri-mech/version30/text30.html).<br>The data is saved in the numpy .npz format, and is organized as follows:<br>The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc.<br>The files correspond to the following inlet conditions:<br>0, 1, 2: 400, 600, 800 K at 1 atm3, 4, 5: 400, 600, 800 K at 10 atm6, 7, 8: 400, 600, 800 K at 25 atm<br>all with an equivalence ratio of one.<br>The individual file arrays are of size:<br>(501, 100, 56)<br>The first column corresponds to the PaSR simulation time, the second to the particle number inside the PaSR, and the third column contains the themochemical state vectors, are ordered containing:<br>[time, temperature, pressure, mass fractions]<br><br>This database has been used in several works (See references for more information) for error validation and performance testing.
DOI: 10.7910/dvn/v1rjpf/78etfq
title: ykc20170718_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/wkyurq
title: ykc20170403_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/rqpuql
title: ykc20170801_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4005258
title: A Critical Review of Discrete Soil Sample Data Reliability: Part 1—Field Study Results

description: Part 1 of this study summarizes data for a field investigation of contaminant concentration variability within individual, discrete soil samples (<i>intra-sample</i> variability) and between closely spaced, “co-located” samples (<i>inter-sample</i> variability). Hundreds of discrete samples were collected from three sites known respectively to be contaminated with arsenic, lead, and polychlorinated biphenyls. <i>Intra-sample</i> variability was assessed by testing soil from ten points within a minimally disturbed sample collected at each of 24 grid points. <i>Inter-sample</i> variability was assessed by testing five co-located samples collected within a 0.5-m diameter of each grid point. <i>Multi Increment</i> soil samples (triplicates) were collected at each study site for comparison. The study data demonstrate that the concentration of a contaminant reported for a given discrete soil sample is largely random within a relatively narrow (max:min &lt;2X) to a very wide (max:min &gt;100X) range of possibilities at any given sample collection point. The magnitude of variability depends in part on the contaminant type and the nature of the release. The study highlights the unavoidable randomness of contaminant concentrations reported in discrete soil samples and the unavoidable error and inefficiency associated with the use of discrete soil sample data for decision making in environmental investigations.
DOI: 10.7910/dvn/v1rjpf/ckrprj
title: ykc20160426_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/q92tlp
title: ykc20170416_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4005258.v1
title: A Critical Review of Discrete Soil Sample Data Reliability: Part 1 – Field Study Results

description: Part 1 of this study summarizes data for a field investigation of contaminant concentration variability within individual, discrete soil samples (<i>intra-sample</i> variability) and between closely spaced, “co-located” samples (<i>inter-sample</i> variability). Hundreds of discrete samples were collected from three sites known respectively to be contaminated with arsenic, lead, and polychlorinated biphenyls. <i>Intra-sample</i> variability was assessed by testing soil from ten points within a minimally disturbed sample collected at each of 24 grid points. <i>Inter-sample</i> variability was assessed by testing five co-located samples collected within a 0.5 m diameter of each grid point. <i>Multi Increment</i> soil samples (triplicates) were collected at each study site for comparison. The study data demonstrate that the concentration of a contaminant reported for a given discrete soil sample is largely random within a relatively narrow (max:min &lt;2X) to a very wide (max:min &gt;100X) range of possibilities at any given sample collection point. The magnitude of variability depends in part on the contaminant type and the nature of the release. The study highlights the unavoidable randomness of contaminant concentrations reported discrete soil samples and the unavoidable error and inefficiency associated with the use of discrete soil sample data for decision making in environmental investigations.