cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/1176da5a864365d81079a7af349158e7
title: Landscape and Regional Impacts of Hurricanes in Puerto Rico 1508-1997

description: This project used a combination of historical research and computer modeling to study the impacts of hurricanes in Puerto Rico since 1508. For details on methods and results, please see the published paper (Boose, E. R., M. I. Serrano and D. R. Foster. 2004. Landscape and regional impacts of hurricanes in Puerto Rico. Ecological Monographs 74: 335-352). The Abstract from the paper is reproduced below. "Puerto Rico is subject to frequent and severe impacts from hurricanes, whose long-term ecological role must be assessed on a scale of centuries. In this study we applied a method for reconstructing hurricane disturbance regimes developed in an earlier study of hurricanes in New England. Patterns of actual wind damage from historical records were analyzed for 85 hurricanes since European settlement in 1508. A simple meteorological model (HURRECON) was used to reconstruct the impacts of 43 hurricanes since 1851. Long-term effects of topography on a landscape scale in the Luquillo Experimental Forest (LEF) were simulated with a simple topographic exposure model (EXPOS). "Average return intervals across Puerto Rico for F0 damage (loss of leaves and branches) and F1 damage (scattered blowdowns, small gaps) on the Fujita scale were 4 and 6 years, respectively. At higher damage levels a gradient was created by the direction of the storm tracks and the weakening of hurricanes over the interior mountains. Average return intervals for F2 damage (extensive blowdowns) and F3 damage (forests leveled) ranged from 15 to 33 years and 50 to 150 years, respectively, from east to west. In the LEF, the combination of steep topography and constrained peak wind directions created a complex mosaic of topographic exposure and protection, with average return intervals for F3 damage ranging from 50 years to more than 150 years. Actual forest damage was strongly dependent on land-use history and the effects of recent hurricanes. Annual and decadal timing of hurricanes varied widely. There was no clear centennial-scale trend in the number of major hurricanes over the historical period."
DOI: 10.5517/ccdc.csd.cc27rlp9
title: CCDC 2078261: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.5517/ccdc.csd.cc27rlqb
title: CCDC 2078262: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.5517/ccdc.csd.cc27rlrc
title: CCDC 2078263: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.5517/ccdc.csd.cc27rlsd
title: CCDC 2078264: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.6073/pasta/5faa1790c8e46184353f6ba6b95b1fbe
title: Massachusetts Historical Landcover and Census Data 1640-1999

description: An appreciation of historical landuse and its effects is crucial when interpreting the structure, composition, and spatial characteristics of modern forests. The Harvard Forest has compiled many different historical data sources in an ongoing effort to understand how anthropogenic disturbances have shaped our modern landscapes. Estimates of town land use and land cover were gathered from a variety of sources, including tax valuations (1801-1860) and state agricultural census records (1865-1905). Data prior to 1801 rarely cover the entire state and are excluded from these datasets. Data on forest structure are available for several time periods, including 1885 and 1895 (Agricultural Censuses) and 1916-1920s (State Forester’s reports).
DOI: 10.6073/pasta/6b3d2b01a2df80f31e74ec9d74c68b29
title: Land Use and Forest Dynamics at Harvard Forest 1937-2013

description: Modern vegetation patterns have developed as a result of species response to environmental gradients, disturbance history, and biotic interactions. However, the relative importance of environmental versus historical factors in determining modern species distributions may differ from site to site and may change with increasing time since disturbance. In addition, life-forms may differ in their response to environmental versus historical disturbance gradients. In the current study, we relate vegetation patterns across the Prospect Hill Tract of Harvard Forest to variability in edaphic factors and disturbance histories. Modern species distribution patterns are related to both edaphic and disturbance gradients. Although species respond individualistically to edaphic and disturbance gradients, land-use history, soil drainage, and C:N ratio are good predictors of the distribution of many species. In contrast, 1938 hurricane damage is less important. Vascular species richness is related to historical land-use, with fewer species in historical woodlots than on former agricultural sites. This is contrary to what has been reported from several other studies, and may reflect the dominance of historical woodlots in the study area by hemlock, a species that creates environmental (i.e. light and soil) conditions that are unsuitable for many species. Historical land-use does not appear to influence bryophyte species richness, although the distributions of several species do follow patterns of land-use. Species richness also varies according to soil drainage, with higher bryophyte, herb, and shrub richness and lower overstory and understory tree richness on wetter sites.
DOI: 10.34740/kaggle/dsv/2477388
title: Internet Speed Dataset
DOI: 10.25345/c55v7b
title: MassIVE MSV000087912 - test upload for Lundquist - Roberto Espinosa
title: Test upload of lundquist - Roberto espinosa data set from 20201006. Involved the expression of target protein from arabidopsis, purification of this protein followed by 1D gel analysis. Protein band was excised from the gel and digested using trypsin followed by LC/MS/MS identification using a Q-Exactive to confirm the presence of the expressed product.
DOI: 10.6073/pasta/324d4fe715d904dcb168eb6612fb400b
title: INTERPNT Software for Mapping Trees Using Distance Measurements

description: The INTERPNT method can be used to produce accurate maps of trees based solely on tree diameter and tree-to-tree distance measurements. For additional details on the technique please see the published paper (Boose, E. R., E. F. Boose and A. L. Lezberg. 1998. A practical method for mapping trees using distance measurements. Ecology 79: 819-827). Additional information is contained in the documentation that accompanies the program. The Abstract from the paper is reproduced below. "Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1,000 trees and after 10,000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available."
DOI: 10.6073/pasta/b3b62a833070f274cf634121dbef2597
title: EXPOS Model for Estimating Topographic Exposure to Wind

description: EXPOS is a simple model of topographic exposure to wind that utilizes digital elevation data to predict which points on a landscape are exposed to or protected from a given wind direction. The model was developed to approximate the effects of topography on hurricane wind flow at a landscape scale (~ 10 km). The model requires an accurate digital elevation map and a specified wind direction. Each point on the elevation map is then classified as protected or exposed, depending on whether or not it falls within the wind shadow cast by points upwind. The wind shadow is estimated by assuming that the wind bends downward no more than a fixed inflection angle from the horizontal as it passes over a height of land. The effects of topographic features beyond the margins of the input elevation map are of course not predicted by the model. For a given landscape and wind direction, predicted protected areas decrease in size as the inflection angle increases. Application of the model in studies of two recent hurricanes suggests that the probability of wind damage in protected areas also decreases as the inflection angle increases. An inflection angle of about 5 to 10 degrees was found to give good results. For more information on the EXPOS model, please see the published paper (Boose, E. R., D. R. Foster, and M. Fluet. 1994. Hurricane impacts to tropical and temperate forest landscapes. Ecological Monographs 64: 369-400). Additional information is contained in the documentation that accompanies the program.
DOI: 10.6073/pasta/4801e897ce49b98a2483d4a322f26bcf
title: HURRECON Model for Estimating Hurricane Wind Speed, Direction and Damage

description: HURRECON is a simple meteorological model that estimates hurricane surface wind speed and direction based on the track, size, and intensity of a hurricane and the surface type (land or water). The model also estimates Fujita-scale wind damage as a function of peak 1/4 mile wind speed and wind gust factor. Estimates can be generated for a single site or a rectangular region. The model is based on published empirical studies of many hurricanes. HURRECON can be used to study the impacts of individual hurricanes or to reconstruct the hurricane disturbance regime for a particular region. For more information on the most recent version of the model please see the published paper (Boose, E. R., K. E. Chamberlin and D. R. Foster. 2001. Landscape and regional impacts of hurricanes in New England. Ecological Monographs 71: 27-48). Additional information is contained in the documentation that accompanies the program.
DOI: 10.6073/pasta/fecc4cf5e4e650a78085d2d9e33f07be
title: Descriptive data file for information regarding microbial genetic research in the environs of Plum Island Sound watersheds, PIE LTER, Massachusetts.

description: This is a descriptive, tabular dataset of publications related to microbial or genomic research conducted within PIE. Assession numbers for genetic sequences generated from PIE samples are provided where available, followed by a very brief description of analysis type and study objectives. Sampling locations within PIE, sampling dates, and habitat type (sea water, fresh water, sediment, marsh) are also given. Environmental data are included in some publications and are listed here (if brief) or availability is described. Links to sequence archives are given in Methods.
DOI: 10.5281/zenodo.5091809
title: R code and dataset to "Monetizing Spillover Effects in the Creative Industries: the Impact of Live Music Performances on Youtube Searches"

description: Content: The script<strong> main_script.R</strong> includes code to run a regression discontinuity (RD) design and validation and falsification of estimated results The folder <strong>data</strong> contains two files: bands_2016_2019.csv: a dataset of performers with additional information for each one. festivals_2016_2019.csv: a dataset of video search activity (as retrieved from Google Trends) for performers in file bands_2016_2019.csv The folder <strong>source</strong> contains two additional R scripts: data_preparation.R: generates the long dataset used to estimate RD effects status_simulation.R: randomly assigns treattment status to performers and estimates RD effects. Note this may take a long time to run. Parallel code is used: the number of cores has been set to 4. The folder simulation_results contains simulated data after running the script status_simulation.R.
description: R libraries required: doParallel foreach lubridate rdrobust rddensity rdlocrand stringr tidyverse
DOI: 10.5281/zenodo.5091808
title: R code and dataset to "Monetizing Spillover Effects in the Creative Industries: the Impact of Live Music Performances on Youtube Searches"

description: Content: The script<strong> main_script.R</strong> includes code to run a regression discontinuity (RD) design and validation and falsification of estimated results The folder <strong>data</strong> contains two files: bands_2016_2019.csv: a dataset of performers with additional information for each one. festivals_2016_2019.csv: a dataset of video search activity (as retrieved from Google Trends) for performers in file bands_2016_2019.csv The folder <strong>source</strong> contains two additional R scripts: data_preparation.R: generates the long dataset used to estimate RD effects status_simulation.R: randomly assigns treattment status to performers and estimates RD effects. Note this may take a long time to run. Parallel code is used: the number of cores has been set to 4. The folder simulation_results contains simulated data after running the script status_simulation.R.
description: R libraries required: doParallel foreach lubridate rdrobust rddensity rdlocrand stringr tidyverse
DOI: 10.6084/m9.figshare.15075246
title: Sawyer Mill Dam Removal Bellamy River Reservoir Response Classified Vegetation Structure Maps

description: These are the unclipped classified vegetation structure maps from the Evans et al. Bellamy River Reservoir (Dover, New Hampshire, USA) response manuscript. They show areas of other, herb, shrub, and tree cover throughout the upper impoundment study areas pre-/post-dam removal, as classified via the SfM/ML classification approach described in the manuscript. The study area and sample date (written mddyyyy) are noted in the file name. The maps are provided here as georeferenced TIFFs in WGS 1984.<br>These materials were made using resources from an NSF EPSCoR funded project “RII Track-2 FEC: Strengthening the scientific basis for decision-making about dams: Multi-scale, coupled-systems research on ecological, social, and economic trade-offs” (a.k.a. "Future of Dams"). Support for this project is provided by the National Science Foundation’s Research Infrastructure Improvement NSF #IIA-1539071. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.<br>
DOI: 10.6073/pasta/ced9e4c9767a7727adbf89ba2a8bd143
title: Vegetation Patterns in Northeastern North America 1500-2000

description: Over the last few centuries, human activities have changed the landscape of northeastern North America from mostly forested to a patchwork of forest, farmland and logged areas, back in many areas to mostly forested. Meanwhile, there have been many rapid changes in the composition of the remaining forests, for example, the amounts of hemlock (Tsuga canadensis) and beech (Fagus grandifolia) have decreased while the amount of birch (Betula spp.) has increased. How stable have been the basic vegetational patterns under the onslaught of these landscape and compositional changes? In preliminary analyses, the assemblages of major tree taxa have been zoned for every other century, using optimal splitting by information content and other techniques, to study changes in vegetation groupings over the last 500 years. Several patterns seem to be emerging on a centennial scale: First, vegetation patterns were changing in the centuries before European colonization of the area. Second, the number of zones (vegetation types, based on pollen), was greater in 1700 and 1900 than in 1500 or now. Third, the zone boundaries have moved north from 1500 to the present. Further analyses, including several more data sets will be used to refine these conclusions and to suggest explanations for the changes.
DOI: 10.6073/pasta/065007a8fec30723e1e3b8bef35b4895
title: Long-term Dynamics of Vegetation and Environment in Central Massachusetts 1000-2000

description: Historical and ecological data from north-central Massachusetts suggest that widespread and intensive human disturbance after European settlement led to a shift in forest composition and obscured regional patterns of species abundance. A paleoecological approach was required to place recent forest dynamics in a long-term context. Pollen and charcoal data from 11 small lakes in north-central Massachusetts were used to reconstruct local vegetation dynamics and fire histories across the region over the past 1000 years. The sites are located across an environmental gradient. Paleoecological data indicate that prior to European settlement, there was regional variation in forest composition corresponding to differences in climate, substrate, and fire regime. Oak, chestnut and hickory were abundant at low elevations, whereas hemlock, beech, sugar maple, and yellow birch were common at high elevations. Fire appears to have been more frequent and/or intense at lower elevations, maintaining high abundances of oak, and archaeological data suggest Native American populations were greater in these areas. A change in forest composition at higher elevations, around 550 years before present, may be related to the Little Ice Age (a period of variable climate), fire, and/or activity by Native Americans, and led to regional convergence in forest composition. After European settlement, forest composition changed markedly in response to human disturbance and there was a sharp increase in rates of vegetation change. Regional patterns were obscured further, leading to homogenization of broad-scale forest composition. There is no indication from the pollen data that forests are returning to pre-European settlement forest composition, and rates of vegetation change remain high, reflecting continuing disturbance to the landscape, despite regional reforestation.
DOI: 10.5517/ccdc.csd.cc25wnpf
title: CCDC 2022585: Experimental Crystal Structure Determination

description: Related Article: Guigui Ye, Yigang Wang, Liming Hong, Fuqing Yu, Guomin Xia, Hongming Wang|2021|J.Mater.Chem.C|9|9142|doi:10.1039/D1TC01792F
DOI: 10.5517/ccdc.csd.cc26mdt2
title: CCDC 2044444: Experimental Crystal Structure Determination

description: Related Article: Jin-Mei Peng, Hai-Ling Wang, Zhong-Hong Zhu, Zi-Yuan Liu, Hua-Hong Zou, Fu-Pei Liang|2021|J.Mater.Chem.C|9|9319|doi:10.1039/D1TC01672E
DOI: 10.5517/ccdc.csd.cc26mdv3
title: CCDC 2044445: Experimental Crystal Structure Determination

description: Related Article: Jin-Mei Peng, Hai-Ling Wang, Zhong-Hong Zhu, Zi-Yuan Liu, Hua-Hong Zou, Fu-Pei Liang|2021|J.Mater.Chem.C|9|9319|doi:10.1039/D1TC01672E
DOI: 10.5517/ccdc.csd.cc26mdw4
title: CCDC 2044446: Experimental Crystal Structure Determination

description: Related Article: Jin-Mei Peng, Hai-Ling Wang, Zhong-Hong Zhu, Zi-Yuan Liu, Hua-Hong Zou, Fu-Pei Liang|2021|J.Mater.Chem.C|9|9319|doi:10.1039/D1TC01672E
DOI: 10.5517/ccdc.csd.cc26mdx5
title: CCDC 2044447: Experimental Crystal Structure Determination

description: Related Article: Jin-Mei Peng, Hai-Ling Wang, Zhong-Hong Zhu, Zi-Yuan Liu, Hua-Hong Zou, Fu-Pei Liang|2021|J.Mater.Chem.C|9|9319|doi:10.1039/D1TC01672E
DOI: 10.5517/ccdc.csd.cc26mdy6
title: CCDC 2044448: Experimental Crystal Structure Determination

description: Related Article: Jin-Mei Peng, Hai-Ling Wang, Zhong-Hong Zhu, Zi-Yuan Liu, Hua-Hong Zou, Fu-Pei Liang|2021|J.Mater.Chem.C|9|9319|doi:10.1039/D1TC01672E
DOI: 10.5517/ccdc.csd.cc26z51f
title: CCDC 2054774: Experimental Crystal Structure Determination

description: Related Article: Guigui Ye, Yigang Wang, Liming Hong, Fuqing Yu, Guomin Xia, Hongming Wang|2021|J.Mater.Chem.C|9|9142|doi:10.1039/D1TC01792F
DOI: 10.5517/ccdc.csd.cc26z52g
title: CCDC 2054775: Experimental Crystal Structure Determination

description: Related Article: Guigui Ye, Yigang Wang, Liming Hong, Fuqing Yu, Guomin Xia, Hongming Wang|2021|J.Mater.Chem.C|9|9142|doi:10.1039/D1TC01792F
DOI: 10.5517/ccdc.csd.cc26z86p
title: CCDC 2054872: Experimental Crystal Structure Determination

description: Related Article: Guigui Ye, Yigang Wang, Liming Hong, Fuqing Yu, Guomin Xia, Hongming Wang|2021|J.Mater.Chem.C|9|9142|doi:10.1039/D1TC01792F
DOI: 10.5517/ccdc.csd.cc279c20
title: CCDC 2064571: Experimental Crystal Structure Determination

description: Related Article: Manash Protim Gogoi, Rajeshwer Vanjari, B. Prabagar, Shengwen Yang, Shubham Dutta, Rajendra K. Mallick, Vincent Gandon, Akhila K. Sahoo|2021|Chem.Commun.|57|7521|doi:10.1039/D1CC02611A
DOI: 10.5517/ccdc.csd.cc27pcz9
title: CCDC 2076131: Experimental Crystal Structure Determination

description: Related Article: Yuna Wang, Zaojuan Qi, Yanning Niu, Hua Feng, Enrico Benassi, Bo Qian|2021|Chem.Commun.|57|7533|doi:10.1039/D1CC02517A
DOI: 10.5517/ccdc.csd.cc27rltf
title: CCDC 2078265: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.5517/ccdc.csd.cc27rlvg
title: CCDC 2078266: Experimental Crystal Structure Determination

description: Related Article: Alejandra Caballero-Muñoz, José Manuel Guevara-Vela, Alberto Fernández-Alarcón, Mónica A. Valentín-Rodríguez, Marcos Flores-Álamo, Tomás Rocha-Rinza, Hugo Torrens, Guillermo Moreno-Alcántar|2021|Eur.J.Inorg.Chem.|2021|2702|doi:10.1002/ejic.202100336
DOI: 10.5517/ccdc.csd.cc27tjg2
title: CCDC 2080114: Experimental Crystal Structure Determination

description: Related Article: Mannar R. Maurya, Shailendra K. Maurya, Naveen Kumar, Puneet Gupta|2021|Eur.J.Inorg.Chem.|2021|2724|doi:10.1002/ejic.202100357
DOI: 10.5517/ccdc.csd.cc27tjh3
title: CCDC 2080115: Experimental Crystal Structure Determination

description: Related Article: Mannar R. Maurya, Shailendra K. Maurya, Naveen Kumar, Puneet Gupta|2021|Eur.J.Inorg.Chem.|2021|2724|doi:10.1002/ejic.202100357
DOI: 10.5519/qd.kxsqfur2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4886752 records)