cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3872349
title: Rangeland Analysis Platform - vegetation cover 1987

description: Rangeland Analysis Platform vegetation cover 1987 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872394
title: Rangeland Analysis Platform - vegetation cover 1986

description: Rangeland Analysis Platform vegetation cover 1986 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872393
title: Rangeland Analysis Platform - vegetation cover 1986

description: Rangeland Analysis Platform vegetation cover 1986 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872426
title: Rangeland Analysis Platform - vegetation cover 1985

description: Rangeland Analysis Platform vegetation cover 1985 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872425
title: Rangeland Analysis Platform - vegetation cover 1985

description: Rangeland Analysis Platform vegetation cover 1985 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872530
title: Rangeland Analysis Platform - vegetation cover 1984

description: Rangeland Analysis Platform vegetation cover 1984 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.5281/zenodo.3872529
title: Rangeland Analysis Platform - vegetation cover 1984

description: Rangeland Analysis Platform vegetation cover 1984 These data represent rangeland cover estimates determined by Jones et al. (2018)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are percent aerial cover of the following rangeland functional groups: Band 1 - annual forbs and grasses<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forbs and grasses<br> Band 5 - shrubs<br> Band 6 - trees<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Jones, M. O., B. W. Allred, D. E. Naugle, J. D. Maestas, P. Donnelly, L. J.<br> Metz, J. Karl, R. Smith, B. Bestelmeyer, C. Boyd, J. D. Kerby, and J. D. McIver.<br> 2018. Innovation in rangeland monitoring: annual, 30 m, plant functional type<br> percent cover maps for U.S. rangelands, 1984-2017. Ecosphere 9:e02430.<br> http://dx.doi.org/10.1002/ecs2.2430
DOI: 10.3886/e115971
title: Interview guide for article, "What the Hell is This, Who the Hell are You?" AERA Open

description: Interview guide
DOI: 10.15468/j9gawp
title: Distribution of the dentary groove of theropod dinosaurs: Implications for theropod phylogeny and the validity of the genus Nanotyrannus Bakker et al., 1988

description: This dataset contains the digitized treatments in Plazi based on the original journal article Joshua D. Schmerge, Bruce M. Rothschild (2016): Distribution of the dentary groove of theropod dinosaurs: Implications for theropod phylogeny and the validity of the genus Nanotyrannus Bakker et al., 1988. Cretaceous Research 61: 26-33, DOI: 10.1016/j.cretres.2015.12.016
DOI: 10.6084/m9.figshare.3761562.v1514
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18112/openneuro.ds002872.v1.0.1
title: Aging
DOI: 10.18112/openneuro.ds002872.v1.1.0
title: Aging
DOI: 10.18112/openneuro.ds002872.v1.2.0
title: Aging
DOI: 10.5281/zenodo.3890557
title: Dataset for ``Valley formation on early Mars by subglacial and fluvial erosion´´

description: These datasets contain: -Morphometrical data for 66 Martian valley networks, as described in the study ``Valley formation on early Mars by subglacial and <br> fluvial erosion´´. - Shape files and raw data text files with MOLA altimetry data extracted from high resolution valley streamlines, for the purpose of longitudinal profile analysis. - Longitudinal profile observations, including the presence and interpretation of undulating sections. You are free to use and modify this data. If you do so, please cite the study Grau Galofre et al., 2020, ``Valley formation on early Mars by subglacial and fluvial erosion´´
DOI: 10.5281/zenodo.3890556
title: Dataset for ``Valley formation on early Mars by subglacial and fluvial erosion´´

description: These datasets contain: -Morphometrical data for 66 Martian valley networks, as described in the study ``Valley formation on early Mars by subglacial and <br> fluvial erosion´´. - Shape files and raw data text files with MOLA altimetry data extracted from high resolution valley streamlines, for the purpose of longitudinal profile analysis. - Longitudinal profile observations, including the presence and interpretation of undulating sections. You are free to use and modify this data. If you do so, please cite the study Grau Galofre et al., 2020, ``Valley formation on early Mars by subglacial and fluvial erosion´´
DOI: 10.3886/e119841v1
title: How the 1906 San Francisco Earthquake Shaped Economic Activity in the American West

description: Replication package for "How the 1906 San Francisco Earthquake Shaped<br>Economic Activity in the American West" by Philipp Ager, Katherine A. Eriksson, Casper Worm Hansen and Lars Lønstrup. We refer to the paper, and its Online Appendix, for further details on data sources and how results are obtained. Please see the "read me.rtf" for further instructions. The software STATA is required to run programs (.do) and data files (.dta).<br><br>Abstract:<br>This paper examines the long-run effects of the 1906 San Francisco Earthquake on the spatial distribution of economic activity in the American West. Using variation in the potential damage intensity of the earthquake, we show that more severely affected cities experienced lower population increases relative to less affected cities until the late 20th century. The earthquake left a long-lasting mark mainly because it interrupted existing migrant networks. Less affected areas became more attractive migrant destinations in the immediate aftermath of the earthquake, which permanently changed relative city sizes in the American West.
description: Census/enumeration data
description: The database includes the population size of cities covering the states of California, Oregon, and Nevada for every decade from 1870-1970<br><br>.
DOI: 10.3886/e119841
title: How the 1906 San Francisco Earthquake Shaped Economic Activity in the American West

description: Replication package for "How the 1906 San Francisco Earthquake Shaped<br>Economic Activity in the American West" by Philipp Ager, Katherine A. Eriksson, Casper Worm Hansen and Lars Lønstrup. We refer to the paper, and its Online Appendix, for further details on data sources and how results are obtained. Please see the "read me.rtf" for further instructions. The software STATA is required to run programs (.do) and data files (.dta).<br><br>Abstract:<br>This paper examines the long-run effects of the 1906 San Francisco Earthquake on the spatial distribution of economic activity in the American West. Using variation in the potential damage intensity of the earthquake, we show that more severely affected cities experienced lower population increases relative to less affected cities until the late 20th century. The earthquake left a long-lasting mark mainly because it interrupted existing migrant networks. Less affected areas became more attractive migrant destinations in the immediate aftermath of the earthquake, which permanently changed relative city sizes in the American West.
description: Census/enumeration data
description: The database includes the population size of cities covering the states of California, Oregon, and Nevada for every decade from 1870-1970<br><br>.
DOI: 10.3886/e119843
title: What Explains Cross-City Variation in Mortality during the 1918 Influenza Pandemic? Evidence from 440 U.S. Cities

description: Replication Data for:<br><br>"What explains cross-city variation in mortality during the 1918 influenza pandemic? Evidence from 438 U.S. cities" Economics and Human Biology, Vol. 35 (2019): 42-50<br><br>
DOI: 10.3886/e119843v1
title: What Explains Cross-City Variation in Mortality during the 1918 Influenza Pandemic? Evidence from 440 U.S. Cities

description: Replication Data for:<br><br>"What explains cross-city variation in mortality during the 1918 influenza pandemic? Evidence from 438 U.S. cities" Economics and Human Biology, Vol. 35 (2019): 42-50<br><br>
DOI: 10.3886/e115971v3
title: Interview guide for article, "What the Hell is This, Who the Hell are You?" AERA Open

description: Interview guide
DOI: 10.3886/e115971v2
title: Interview guide for article, "What the Hell is This, Who the Hell are You?" AERA Open

description: Interview guide
DOI: 10.3886/e119847v1
title: The Association between Student Reports of Classmates’ Disruptive Behavior and Student Achievement

description: Classroom disciplinary climate and its correlation to students’ performance is a widely debated issue. Policy reports tend toassume that classroom disruptions interfere with the learning experience. Empirical evidence for this assumption, however,which carefully distinguishes classroom climate from the school climate in general, is still wanting. This study examines therelation between student reports regarding disciplinary infractions to student achievement, with a special focus on classroomdisruptions. Multilevel regressions were used to estimate the contribution of classroom and school disciplinary infractions oneighth-grade students’ test scores. Reports of disruptive behavior proved to correlate negatively with test scores, whereas theeffect of other school and classroom characteristics, including teachers’ attitudes and school disciplinary policy, were insignificant(controlling for students’ prior achievements). We conclude that a disruptive classroom climate can hinder the learningprocess and lower the achievement of the entire class, regardless of the conduct of any particular student. Therefore, aspecial focus on disruptions in the classroom, in contradistinction with school disciplinary climate in general—which islacking in most studies—emerges as instrumental to the understanding of how school climate relates to student achievement.
DOI: 10.3886/e119847
title: The Association between Student Reports of Classmates’ Disruptive Behavior and Student Achievement

description: Classroom disciplinary climate and its correlation to students’ performance is a widely debated issue. Policy reports tend toassume that classroom disruptions interfere with the learning experience. Empirical evidence for this assumption, however,which carefully distinguishes classroom climate from the school climate in general, is still wanting. This study examines therelation between student reports regarding disciplinary infractions to student achievement, with a special focus on classroomdisruptions. Multilevel regressions were used to estimate the contribution of classroom and school disciplinary infractions oneighth-grade students’ test scores. Reports of disruptive behavior proved to correlate negatively with test scores, whereas theeffect of other school and classroom characteristics, including teachers’ attitudes and school disciplinary policy, were insignificant(controlling for students’ prior achievements). We conclude that a disruptive classroom climate can hinder the learningprocess and lower the achievement of the entire class, regardless of the conduct of any particular student. Therefore, aspecial focus on disruptions in the classroom, in contradistinction with school disciplinary climate in general—which islacking in most studies—emerges as instrumental to the understanding of how school climate relates to student achievement.
DOI: 10.21227/kcth-jf74
title: Experimental data of mid-air imaging simulation using ray tracing

description: To improve reproductivity of our papar, we would upload experimental data and resources of evaluations.
DOI: 10.7295/w9cil721
title: CIL_721, Chlorocebus sabaeus
DOI: 10.17614/q4pn8z058
title: [(1s,2s)-2,7-diamino-1-hydroxy-6-methyl-5,8-dioxo-2,3,5,8-tetrahydro-1h-pyrrolo[1,2-a]indol-9-yl]methyl carbamate
DOI: 10.13145/bacdive127305.20180622.3
title: Kitasatospora aureofaciens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.14457/swu.the.1988.1
title: แบบผู้นำของผู้บริหารโรงเรียนประถมศึกษา ตามความคิดเห็นของผู้บริหารโรงเรียนและครู สังกัดสำนักงานการประถมศึกษาจังหวัดร้อยเอ็ด /
DOI: 10.15151/esrf-es-193916644
title: Molecular determinants of arginine decarboxylase polymerisation during bacterial acid stress response
DOI: 10.25625/3dvvvn/bfaksp
title: BE-Vie_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.26304/361-u1474e-msloop
title: Expedition 361 Hole U1474E Magnetic susceptibility (whole round) data file

description: Hole U1474E MSLOOP - Magnetic susceptibility (whole round) for Expedition 361 Hole U1474E
DOI: 10.18112/openneuro.ds000113.v1.1.0
title: Forrest Gump
DOI: 10.20375/0000-000c-b40d-b
title: لمن هذا الزر

description: Diese Sammlung beinhaltet Kindergeschichten, die vom Englischen ins Arabische übersetzt und unter zwei CC-Lizensen veröffentlicht worden sind, gemäß der Anforderungen des ursprünglichen Werkes. 1. CC BY-SA Link zur Lizenz: https://creativecommons.org/licenses/by-sa/4.0/ 2. CC BY-NC-SA Link zur Lizenz: https://creativecommons.org/licenses/by-nc-sa/4.0/ هذه مجموعة من القصص المترجمة للعربية وهي نتاج مشروع قامت به مبادرة ض في ألمانيا (DADD-INITIATIVE e.V.) كل القصص مدرجة ضمن تصنيف المشاع الإبداعي وفقاً للأصل ولما تم التوافق حوله مع المؤلفين. تصنيف القصص لرخصتين هما: 1. CC BY-SA رابط للرخصة: https://creativecommons.org/licenses/by-sa/4.0/ 2. CC BY-NC-SA رابط للرخصة https://creativecommons.org/licenses/by-nc-sa/4.0/
DOI: 10.5525/gla.researchdata.719
title: Superferromagnetism and Domain-Wall Topologies in Artificial 'Pinwheel' Spin Ice

description: Source Fresnel videos for the field driven reversal of pinwheel ASI arrays with applied fields of -13, -6, 0 and 30 degrees with respect to the array edge.
DOI: 10.15121/1150326
title: Validation of Innovative Exploration Technologies for Newberry Volcano: Drill Site Location Map

description: Newberry seeks to explore "blind" (no surface evidence) convective hydrothermal systems associated with a young silicic pluton on the flanks of Newberry Volcano. This project will employ a combination of innovative and conventional techniques to identify the location of subsurface geothermal fluids associated with the hot pluton. Newberry project drill site location map 2010. This submission contains a topographic drill site location map.
DOI: 10.21223/km16bh/eqbzli
title: 1026926.FASTQ.gz

description: :unav
DOI: 10.34724/casd.41.297.v1
title: Enquête annuelle d'entreprise dans l'industrie - 1984

description: L'objectif de l'enquête annuelle d'entreprise (EAE) est d'établir des statistiques sur la structure des entreprises, la diversité et l'évolution des activités, les facteurs de production mis en oeuvre, leurs performances économiques et leur compétitivité au niveau de l'investissement et de l'emploi.
DOI: 10.7483/opendata.cms.6zy4.ehoh
title: /Commissioning/Run2010A-Apr21ReReco-v1/AOD
DOI: 10.5285/418a769b-2a35-4e06-bd02-9cd6d222558f
title: Seismic refraction data, Antarctic Peninsula, Larsen C Ice Shelf, Joerg Peninsula Suture Zone / Solberg Inlet Ice Shelf Unit, November-December 2008

description: Walk-away seismic reflection surveys were conducted in two locations on and to the south of (i.e. on the Solberg Inlet derived meteoric ice shelf unit) the suture zone emanating from the Joerg Peninsula on the Larsen C Ice Shelf, approximately 95 km downflow of the peninsula's tip. The data were collected as part of NERC Project SOLIS. Funding was provided by NERC Standard Grant 'Present and future stability of Larsen C Ice Shelf', 2008-2011, NERC Reference NE/E012914/1.
description: The seismic reflection data were collected using Pentolite explosive charges deployed in shallow holes drilled with a snow auger, to create 'walk-away' shot gathers. The suture zone gather ('JP-Seis') is aligned perpendicular to ice flow (i.e. south-north) while the Solberg gather ('SI-Seis') is aligned along-flow (i.e. west-east). The Joerg Peninsula location is -62.623506 S, -67.953555 E, 53 m elevation. The Solberg Inlet location is -62.641592 S, -68.004942 E, 55 m elevation.
description: 2 x Geometrics Geode seismographs with 100 Hz vertical geophones, acquired using Geometrics proprietary software MGEOS, recording raw data files in .sg2 format.
description: Raw data are provided and data quality can therefore be readily assessed. Selected bad traces have been removed in assembling the .sgy files, caused by faulty take-outs in the seismic cable used.
DOI: 10.5519/qd.gk9b30zs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4358950 records)
DOI: 10.18716/nmrshiftdb2/3409
title: NMR data for 10-(4-Hydroxybenzyl)-isorhapontigenin; Gnetupendin A
DOI: 10.25917/5e8406adc8ab2
title: monazite sample (Sample 6911 m03+m04 / IGSN XXAB001A5) from the Neal McNaughton Legacy Collection SHRIMP mount 04-02 (IGSN XXAB001A4)