cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2815fy
title: CCDC 2086499: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815gz
title: CCDC 2086500: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815h0
title: CCDC 2086501: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815j1
title: CCDC 2086502: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815k2
title: CCDC 2086503: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815l3
title: CCDC 2086504: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815m4
title: CCDC 2086505: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.5517/ccdc.csd.cc2815n5
title: CCDC 2086506: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Christian Hering-Junghans|2021|Chemical Science|12|10279|doi:10.1039/D1SC02947A
DOI: 10.6073/pasta/3cc3cc7c0fcbb71e00cc8406b1a7a8f2
title: Historical and Ecological GIS Data from Manuel F. Correllus State Forest on Martha’s Vineyard 1830-1994

description: Sand-plain ecosystems are a priority for conservation because they are uncommon, support numerous rare or uncommon plant and animal species, serve as groundwater recharge areas, and are threatened by land development. The 5,200-acre Manuel F. Correllus State Forest, in the central part of Martha’s Vineyard, is part of one of the larger sand-plain ecosystems in New England. This GIS data package was created as part of a study on the history and ecology of Martha’s Vineyard and the state forest as part of an effort to understand sandplain landscapes and make management recommendations for their maintenance.
DOI: 10.6084/m9.figshare.14779376.v2
title: Adaptive-to-Model Hybrid of Tests for Regressions

description: In model checking for regressions, nonparametric estimation-based tests usually have tractable limiting null distributions and are sensitive to oscillating alternative models, but suffer from the curse of dimensionality. In contrast, empirical process-based tests can, at the fastest possible rate, detect local alternatives distinct from the null model, yet are less sensitive to oscillating alternatives and rely on Monte Carlo approximation for critical value determination, which is costly in computation. We propose an adaptive-to-model hybrid of moment and conditional moment-based tests to fully inherit the merits of these two types of tests and avoid the shortcomings. Further, such a hybrid makes nonparametric estimation-based tests, under the alternatives, also share the merits of existing empirical process-based tests. The methodology can be readily applied to other kinds of data and construction of other hybrids. As a by-product in sufficient dimension reduction field, a study on residual-related central mean subspace and central subspace for model adaptation is devoted to showing when alternative models can be indicated and when cannot. Numerical studies are conducted to verify the powerfulness of the proposed test.
DOI: 10.6084/m9.figshare.14779376
title: Adaptive-to-Model Hybrid of Tests for Regressions

description: In model checking for regressions, nonparametric estimation-based tests usually have tractable limiting null distributions and are sensitive to oscillating alternative models, but suffer from the curse of dimensionality. In contrast, empirical process-based tests can, at the fastest possible rate, detect local alternatives distinct from the null model, yet are less sensitive to oscillating alternatives and rely on Monte Carlo approximation for critical value determination, which is costly in computation. We propose an adaptive-to-model hybrid of moment and conditional moment-based tests to fully inherit the merits of these two types of tests and avoid the shortcomings. Further, such a hybrid makes nonparametric estimation-based tests, under the alternatives, also share the merits of existing empirical process-based tests. The methodology can be readily applied to other kinds of data and construction of other hybrids. As a by-product in sufficient dimension reduction field, a study on residual-related central mean subspace and central subspace for model adaptation is devoted to showing when alternative models can be indicated and when cannot. Numerical studies are conducted to verify the powerfulness of the proposed test.
DOI: 10.6084/m9.figshare.14779376.v1
title: Adaptive-to-model hybrid of tests for regressions

description: In model checking for regressions, nonparametric estimation-based tests usually have tractable limiting null distributions and are sensitive to oscillating alternative models, but suffer from the curse of dimensionality. In contrast, empirical process-based tests can, at the fastest possible rate, detect local alternatives distinct from the null model, yet are less sensitive to oscillating alternatives and rely on Monte Carlo approximation for critical value determination, which is costly in computation. We propose an adaptive-to-model hybrid of moment and conditional moment-based tests to fully inherit the merits of these two types of tests and avoid the shortcomings. Further, such a hybrid makes nonparametric estimation-based tests, under the alternatives, also share the merits of existing empirical process-based tests. The methodology can be readily applied to other kinds of data and construction of other hybrids. As a by-product in sufficient dimension reduction field, a study on residual-related central mean subspace and central subspace for model adaptation is devoted to showing when alternative models can be indicated and when cannot. Numerical studies are conducted to verify the powerfulness of the proposed test.
DOI: 10.6073/pasta/106ac402ded8dc72cf922c5437d9cacb
title: Historical and Ecological GIS Data from Manuel F. Correllus State Forest on Martha’s Vineyard 1830-1994

description: Sand-plain ecosystems are a priority for conservation because they are uncommon, support numerous rare or uncommon plant and animal species, serve as groundwater recharge areas, and are threatened by land development. The 5,200-acre Manuel F. Correllus State Forest, in the central part of Martha’s Vineyard, is part of one of the larger sand-plain ecosystems in New England. This GIS data package was created as part of a study on the history and ecology of Martha’s Vineyard and the state forest as part of an effort to understand sandplain landscapes and make management recommendations for their maintenance.
DOI: 10.6073/pasta/30062e50561f1ddbda7464eb942ee162
title: Forest Type Maps for New England from Historical Studies 1912-1956

description: This data package contains 3 GIS layers showing generalized forest types across New England as delineated in older forestry publications. These were digitized so that they can be used to illustrate broad vegetation patterns across the region in modern publications. These GIS layers include maps drawn by Hawley and Hawes (1912), RT Fisher (1933), and Westveld and the Committee on Silviculture, New England Section, Society of American Foresters (1956).
DOI: 10.6073/pasta/dbb23debd68395637916c50588707b88
title: Mid-19th Century Land Use on the Southern New England and New York Coasts 1832-1886

description: The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This data package includes GIS layers digitized by Harvard Forest researchers from copies of the US Coastal Survey “T-Sheet” maps available from the National Archives in College Park, Maryland. The US Coastal Survey, and then the US Coast and Geodetic Survey mapped the region, or specific parts of it, several times between 1832 and the 1960s. In this project we digitized the earliest T-Sheet available for each location. The original maps were surveyed between 1832 and 1886, with most of them made between 1835 to 1855. The original maps showed features such as roads, farm walls, railroads, buildings, some industrial buildings, saltworks, wharfs, and land cover including woodlands, sandplains, grasslands, open agricultural fields, cultivated areas, fruit tree orchards, wetlands, etc. Many sheets had symbols which differentiated conifer trees from hardwoods. There were some inconsistencies in what features were mapped or how they were drawn between the original T-Sheets. Since we digitized the maps over the course of several different research projects, we did not always digitize all of the same features in each geographic area, therefore users of this data are encouraged to look at scans of the original T-Sheets for their specific areas of interest (links below). We always digitized land cover and roads and occasionally buildings and fences as mentioned in the datasets below.
DOI: 10.5281/zenodo.5160338
title: Structured noise Convallaria dataset for structured noise removal benchmark as used in StructN2V paper

description: Structured Convallaria dataset for structured noise removal benchmark as used in StructN2V paper (https://www.frontiersin.org/articles/10.3389/fcomp.2020.00005/full)
DOI: 10.5281/zenodo.5160337
title: Structured noise Convallaria dataset for structured noise removal benchmark as used in StructN2V paper

description: Structured Convallaria dataset for structured noise removal benchmark as used in StructN2V paper (https://www.frontiersin.org/articles/10.3389/fcomp.2020.00005/full)
DOI: 10.5281/zenodo.5156913
title: Convallaria dataset for microscopy image denoising benchmark as used in Probabilistic Noise2Void paper

description: Convallaria dataset for microscopy image denoising benchmark as used in Probabilistic Noise2Void paper (https://ieeexplore.ieee.org/document/9098336)
DOI: 10.5281/zenodo.5156912
title: Convallaria dataset for microscopy image denoising benchmark as used in Probabilistic Noise2Void paper

description: Convallaria dataset for microscopy image denoising benchmark as used in Probabilistic Noise2Void paper (https://ieeexplore.ieee.org/document/9098336)
DOI: 10.6073/pasta/fc95eff5cbfb76b0d713541984908cc9
title: Land Cover on the Elizabeth Islands, Martha's Vineyard, and Nantucket 1938

description: The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This dataset includes a land cover GIS layer created from aerial photographs from 1938. Janice Stone interpreted the photos onto acetates which were then redrawn onto USGS topographic maps using a zoom transfer scope to reduce edge distortion from the photographs. The landcover polygons were then digitized into a GIS. As 1938 is near the midpoint between the peak of 19th century agricultural land clearance and the modern plant communities of the region, this data provides valuable information on changing landscape characteristics and vegetation successional patterns which shape the modern landscape.
DOI: 10.6073/pasta/aa31e5144f7e532dcde742c1c238ba94
title: Hemlock Hospice Sculpture Installation at Harvard Forest 2018-2019

description: Hemlock Hospice was an art-science collaboration between David Buckley Borden, 2016-2017 artist and designer-in-residence at the Harvard Forest, and Harvard Forest Senior Ecologist Aaron Ellison. It featured innovative art installed in the Fisher Museum and along a temporary interpretative walking trail on Prospect Hill, focused on eastern hemlock, a foundation tree in eastern forests that is slowly vanishing from North America as it is weakened and killed by a small insect, the hemlock woolly adelgid. Hemlock Hospice blended science, art, and design in respecting hemlock and its ecological role as a foundation forest species; promoting an understanding of the adelgid; and encouraging empathetic conversations among all the sustainers of and caregivers for our forests—ecologists and artists, foresters and journalists, naturalists and citizens—while fostering social cohesion around ecological issues.
DOI: 10.6073/pasta/411cd0446088796308c9d4426301b2bc
title: Harmonic Baseline Experiments for Landsat-Based Forest Condition Monitoring in Southern New England 2017

description: This dataset was developed as part of a study of harmonic baseline model parameterization for forest condition monitoring using Landsat time series. We implemented a previously published harmonic modeling approach for forest condition monitoring in Google Earth Engine and systematically assessed the relative ability of condition change products generated using various model parameterizations for predicting pest abundances and defoliation during the 2016-2018 gypsy moth (Lymantria dispar) outbreak in southern New England. We ran a series of 32 experiments that considered a variety of parameter choices for establishing multi-year “baseline” models representing relatively stable forest conditions for each Landsat pixel in our study area. We tested a full set of factors including (a) spectral vegetation index used for model fitting, (b) baseline-modeling period, (c) frequencies of harmonic regression terms, and (d) differences in Landsat time series input imagery. We generated average condition score estimates for each of these 32 baseline parameterizations for a May 1 to September 30, 2017 monitoring period, then used Generalized Linear Mixed Models to test the relationships between ground-based observations of defoliation and defoliator abundance (larva and egg masses). This archived dataset includes the full set of experimental raster results, as well as a “reanalysis” product from a previous implementation of our condition monitoring workflow. More information on model parameterization rankings can be found in the associated publication (Pasquarella et al. 2021).
DOI: 10.6073/pasta/c379d9b6d31c34f5af89215c10d63993
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: 10.5281/zenodo.5160346
title: UWEC and Purdue M210 Data for WiscoDISCO21

description: This dataset includes data from the M210 multirotor UAS as a part of the WiscoDISCO21 field campaign from May 21-26, 2021 conducted at the Chiwaukee Prairie State Natural Area in southeastern Wisconsin. Onboard instruments measured temperature, humidity, pressure and ozone. Data is presented with aircraft altitude and position. The UAS flew up to 120 m AGL for vertical profiles at a coastal site with as many as 6 flights per day with a total of 6 hours total flight time for the campaign.
description: Funding for this project has been provided by the National Science Foundation grant #1918850 "Collaborative Research Grant: RUI: Lake Breeze Influence of Ozone Transport as Captured by an Unmanned Aircraft System"
DOI: 10.5281/zenodo.5146246
title: UWEC and Purdue M210 Data for WiscoDISCO21

description: This dataset includes data from the M210 multirotor UAS as a part of the WiscoDISCO21 field campaign from May 21-26, 2021 conducted at the Chiwaukee Prairie State Natural Area in southeastern Wisconsin. Onboard instruments measured temperature, humidity, pressure and ozone. Data is presented with aircraft altitude and position. The UAS flew up to 120 m AGL for vertical profiles at a coastal site with as many as 6 flights per day with a total of 6 hours total flight time for the campaign.
description: Funding for this project has been provided by the National Science Foundation grant #1918850 "Collaborative Research Grant: RUI: Lake Breeze Influence of Ozone Transport as Captured by an Unmanned Aircraft System"
DOI: 10.6073/pasta/2a63358c67252c603d8808a93905fe1d
title: Mid-19th Century Land Use on the Southern New England and New York Coasts 1832-1886

description: The widespread influence of land use and natural disturbance on population, community, and landscape dynamics and the long-term legacy of disturbance on modern ecosystems requires that a historical, broad-scale perspective become an integral part of modern ecological studies and conservation assessment and planning. In previous studies, the Harvard Forest Long Term Ecological Research (LTER) program has developed an integrated approach of paleoecological and historical reconstruction, meteorological modeling, air photo interpretation, GIS analyses, and field studies of vegetation and soils, to address fundamental ecological questions concerning the rates, direction, and causes of vegetation change, to evaluate controls over modern species and community distributions and landscape patterns, and to provide critical background for conservation and restoration planning. In the current study, we extend this approach to investigate the link between landscape history and the abundance, distribution, and dynamics of species, communities and landscapes of the Cape Cod to Long Island coastal region, including the islands of Martha's Vineyard, Nantucket, and Block Island. The study region includes many areas of high conservation priority that are linked geographically, historically, and ecologically. This data package includes GIS layers digitized by Harvard Forest researchers from copies of the US Coastal Survey “T-Sheet” maps available from the National Archives in College Park, Maryland. The US Coastal Survey, and then the US Coast and Geodetic Survey mapped the region, or specific parts of it, several times between 1832 and the 1960s. In this project we digitized the earliest T-Sheet available for each location. The original maps were surveyed between 1832 and 1886, with most of them made between 1835 to 1855. The original maps showed features such as roads, farm walls, railroads, buildings, some industrial buildings, saltworks, wharfs, and land cover including woodlands, sandplains, grasslands, open agricultural fields, cultivated areas, fruit tree orchards, wetlands, etc. Many sheets had symbols which differentiated conifer trees from hardwoods. There were some inconsistencies in what features were mapped or how they were drawn between the original T-Sheets. Since we digitized the maps over the course of several different research projects, we did not always digitize all of the same features in each geographic area, therefore users of this data are encouraged to look at scans of the original T-Sheets for their specific areas of interest (links below). We always digitized land cover and roads and occasionally buildings and fences as mentioned in the datasets below.