cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/299c2e85eef1ab360a469e85188c61a6
title: Foliar and Soil Chemistry at Harvard Forest Chronic Nitrogen Amendment Experiment 1995-2009

description: The aim of the chronic N study at Harvard Forest is to increase our understanding of ecosystem nitrogen dynamics in response to elevated nitrogen inputs. In recent, nitrogen deposition in the Northeastern United States has been 10 to 20 times above historic background levels which could possibly saturate the retention capacity of a forest ecosystem. Long-term elevated N deposition typically leads to an increase in the concentration of total foliar N, with or without similar changes in the important base elements such as Ca, Mg and K. This increase in leaf N content also leads to significant shifts in the internal partitioning of N within the leaf. For example, in conifers, N deposition has been shown to significantly increase leaf N present in the form of free amino acids such as arginine. Little is known about N partitioning for hardwoods under these conditions. These changes in N partitioning are possibly connected to leaf function. The present study was conducted to experimentally test whether the alterations in N partitioning do occur due to long-term N deposition and if so do they have a positive or a negative effect on photosynthetic capacity and biomass production. A possible decoupling of the relationship between foliar N and photosynthetic rate may occurs under these conditions.
 The treatment plots used in this study are part of the Chronic Nitrogen Amendment Study at the Harvard Forest LTER site (42.5°N, 72°W). The site has a temperate climate with monthly temperatures ranging from -7°C in January to 20°C in July. Average annual precipitation is 110 cm (http://harvardforest.fas.harvard.edu). The site averages approximately 8 kg ha-1 year-1 of total N deposition. As reported earlier, the land-use history of the pine and hardwood stands used in this study is very different. Two adjacent stands were chosen for the study: an even-aged red pine (Pinus resinosa Ait.) stand and a 50-year-old mixed hardwood stand that had regenerated naturally after clearcutting in approximately 1945. The hardwood stand is dominated by black and red oak (Quercus velutina Lam.; Q. rubra L.) with significant amounts of black birch (Betula lenta L.), red maple (Acer rubrum L.) and American beech (Fagus grandifolia Ehrh.). The pine site was pastured until 1920, and a red pine (Pinus resinosa Ait.) plantation was established on this site in 1926. Fire destroyed some of the trees in 1957. The hardwood stand has no agricultural land-use history but was substantially damaged by a hurricane in 1938, and was harvested for firewood during 1942-44. In 1988, 30 m x 30 m plots were established in each of the two adjacent stands, red pine and a mixed deciduous each. Starting in 1989, while one plot served as control, six equal doses of NH4NO3 were applied to Low N (50 kg N ha-1 year-1) and High N (150 kg N ha-1 year-1) plots of each stand from May through September each year.
DOI: 10.6073/pasta/3b772bb84370f126c4ecc809a44ea284
title: Ants of the CTFS-ForestGEO Plot at Harvard Forest 2018

description: Foundation species in forests are hypothesized to control the diversity of associated organisms and modulate core ecosystem processes. At Harvard Forest, eastern hemlock (Tsuga canadensis) is a foundation species, but its relationship to local biodiversity has not been explored in detail. This project examined co-occurrence relationships (using codispersion statistics) between forest trees and ants in the 35-hectare Forest Dynamics Plot in the Prospect Hill tract at Harvard Forest ("megaplot"), in which more than 100,000 woody stems have been identified, mapped, and measured.
DOI: 10.5281/zenodo.5573622
title: Data for Cost Optimization of Shedding Mechanisms as a Product Family

description: This the data from the numerical examples presented in "Accelerating Cost Optimization of Existing Product Family Designs<br> Using Sensitivity Analysis on Component Commonalities" article. It contains the data of the results for the cost optimization of a shedding mechanism as a product family from two types of optimization: (i) brute-force and (ii) guided optimization: proposed method which uses sensitivity analysis on component commonalities. Each datum (.mat file) contains design variables (length of the four-bar mechanisms and motor locations) of a specific commonality matrix.
DOI: 10.5281/zenodo.10305584
title: Data for Cost Optimization of Shedding Mechanisms as a Product Family

description: This the data from the numerical examples presented in "Accelerating Cost Optimization of Existing Product Family Designs Using Sensitivity Analysis on Component Commonalities" article. It contains the data of the results for the cost optimization of a shedding mechanism as a product family from two types of optimization: (i) brute-force and (ii) guided optimization: proposed method which uses sensitivity analysis on component commonalities. Each datum (.mat file) contains design variables (length of the four-bar mechanisms and motor locations) of a specific commonality matrix.
DOI: 10.6073/pasta/f54733ad85e8037fffc14820ef6f4bf6
title: R Code and Images for Developing a Spatial Concordance Coefficient at Harvard Forest 2010

description: Concordance correlation coefficients have been developed in a variety of different contexts. This problem has been widely addressed in a non-spatial context, but here we consider a coefficient that for a fixed spatial lag allows the comparison of two spatial sequences (e.g., images). We define a spatial concordance coefficient for second-order stationary processes.
DOI: 10.6073/pasta/8b839deba298e910c5dc551f3e0f27a3
title: Northern Range Limit of Aphaenogaster picea in Maine 2015

description: Low temperatures at poleward range margins of terrestrial species tend to match cold tolerance limits, suggesting that range boundaries may be set by evolutionary constraints on cold physiology. The northeastern woodland ant, Aphaenogaster picea, occurs up to approximately 45 °N in central Maine. We combined presence-absence surveys with regression-tree analysis to characterize its northern range limit, and assayed two measures of cold tolerance operating on different time-scales to determine whether and how marginal populations adapt to environmental extremes. The boundary was predicted primarily by temperature, but low winter temperatures did not emerge as the primary correlate of species occurrence. Low summer temperatures and high seasonal variability predicted absence above the boundary, whereas high mean annual temperature (MAT) predicted presence in southern Maine. Locations between these zones formed an east-west band where presence was conditional on precipitation. In contrast, assays of cold tolerance across multiple sites indicated substantial local adaptation of cold tolerance at the range edge, with a 4-minute reduction in chill-coma recovery time across a 2-degree reduction in MAT. Baseline tolerance and capacity for additional plastic cold-hardening shifted in opposite directions, with hardening capacity approaching zero at the coldest sites. This trade-off suggests that populations at range edges may adapt to colder temperatures through genetic assimilation of plastic responses, potentially constraining further adaptation and range expansion.
DOI: 10.6073/pasta/af85078378dc3f0b4e82d4630a78d393
title: Species Distribution Modeling of Carnivorous Plants Worldwide

description: Forecasting how carnivorous plant species will respond to climatic change is a key issue in their conservation and management but presents a number of challenges. These challenges derive from interactions between the relatively simplistic statistical methods typically used to forecast species responses to climatic change, which to date have been limited mainly to species distribution models (“SDMs) and particular aspects of the ecology of carnivorous plants, including their rarity, habitat specialization, and limited dispersal ability. The small ranges and oftentimes low local abundance of carnivorous plants provide few occurrence records, which increase the potential for poorly or over-fitted SDMs and misspecification of relationships with their “optimal” environments. The unique habitats in which carnivorous plants often grow also are difficult to characterize using the basic temperature and precipitation data that often undergird SDMs. Rather, habitats in which carnivorous plants are common often are decoupled from broader climatic patterns (e.g., many retain high soil moisture even during seasonal drought) and may be associated with frequent disturbance. Last, dispersal limitation also may constrain range shifts of carnivorous plants as the climate changes. These three issues raise two related questions that are critical for understanding and forecasting the future of carnivorous plants. First, to what extent are current carnivorous plants distributions constrained by climate; and second, how readily, if at all, might carnivorous plants disperse to colonize new habitat as it becomes climatically suitable?
 
 
 
 We estimated the vulnerability of carnivorous plants to climatic change in light of challenges identified with SDMs in general and their particular application to these unique species. We combined two approaches: “ensembles of small models”, which attempt to deal with the challenges of fitting SDMs for data-limited species; and “bioclimatic velocity”, which is an estimate of how fast a species would have to migrate to track its climatic niche, to provide initial assessments of the vulnerability of carnivorous plants to climatic change. We also explored, for one carnivorous plant (Sarracenia purpurea) how to additionally incorporate demographic complexity into its SDM.
DOI: 10.5281/zenodo.10302573
title: Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1

description: Data to plot figures in Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1 - Wells et al., 2023
DOI: 10.5281/zenodo.10302574
title: Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1

description: Data to plot figures in Identifying climate impacts from different stratospheric aerosol injection strategies in UKESM1 - Wells et al., 2023
DOI: 10.6084/m9.figshare.24769677.v1
title: Data and code for Figures 3 and 4

description: Unzip each zip file and refer to the README.md file in each subdirectory for further instructions.
DOI: 10.6084/m9.figshare.24774459
title: SUCB80~1.PDF

description: Medical education
DOI: 10.6084/m9.figshare.24774459.v1
title: SUCB80~1.PDF

description: Medical education
DOI: 10.5281/zenodo.7992426
title: PatentChem - USPTO granted chemistry patents 2001-2023

description: USPTO granted patents 2001-2023 with CDX/MOL files present
DOI: 10.6084/m9.figshare.24769668
title: Brain tissue Biogenic Amines 10.9.22.xlsx This work is licensed under CC BY-NC-ND 4.0. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

description: GBM metabolomics
DOI: 10.6084/m9.figshare.24769668.v1
title: Brain tissue Biogenic Amines 10.9.22.xlsx

description: GBM metabolomics
DOI: 10.5517/ccdc.csd.cc285jww
title: CCDC 2090698: Experimental Crystal Structure Determination

description: Related Article: Ghazala Khanum, Aysha Fatima, Nazia Siddiqui, R. J. Butcher, Norah Salem Alsaiari, Sanjay Kumar Srivastava, Saleem Javed|2023|Polycyclic Aromat.Compd.|43|7127|doi:10.1080/10406638.2022.2130372
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc13vkvc
title: CCDC 1038433: Experimental Crystal Structure Determination

description: Related Article: Maryam Mohamadi, S. Yousef Ebrahimipour, Jesus Castro, Sabine Foro|2023|J.Mol.Struct.|1299|137057|doi:10.1016/j.molstruc.2023.137057
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc295ftr
title: CCDC 2120394: Experimental Crystal Structure Determination

description: Related Article: Rabindra Nath Pradhan, Suvam Kumar Panda, Julia Torres, Carlos Kremer, Shrutika Kavali, Neelima Dubey, Suprava Naik, Akhilesh Kumar Singh|2024|Inorg.Chim.Acta|561|121845|doi:10.1016/j.ica.2023.121845
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29j286
title: CCDC 2130607: Experimental Crystal Structure Determination

description: Related Article: Liuzeng Chen, Ke Wang, Lingyun Wang, Wei Wang, Lifan Wang, Wei Wang, Jia Li, Xiaohan Liu, Mengya Wang, Banfeng Ruan|2024|Eur.J.Med.Chem.|263|115949|doi:10.1016/j.ejmech.2023.115949
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc29zkvq
title: CCDC 2144544: Experimental Crystal Structure Determination

description: Related Article: Gui-Yuan Wu, Hui-Min Zhu, Hao Li, Kai Zhang, Xianyi Zhang, Dong Yan, Xiu-Du Zhang, Lili Lin, Zhou Lu|2023|RSC Advances|13|33911|doi:10.1039/D3RA06359C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28xk2v
title: CCDC 2112807: Experimental Crystal Structure Determination

description: Related Article: Rishabh Ujjval, Hilal Ahmad Khan, Chinnappan Sivasankar, Natesan Thirupathi|2023|Polyhedron|247|116735|doi:10.1016/j.poly.2023.116735
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gqgnb
title: CCDC 2285712: Experimental Crystal Structure Determination

description: Related Article: Megha, Paramjit Kaur, Kamaljit Singh|2024|Spectrochim.Acta,Part A|307|123649|doi:10.1016/j.saa.2023.123649
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gytv3
title: CCDC 2292786: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Gavrikov, Andrey B. Ilyukhin, Ilya V. Taydakov, Mikhail T. Metlin, Nikolay P. Datskevich, Mikhail E. Buzoverov, Konstantin A. Babeshkin, Nikolay N. Efimov|2023|Dalton Trans.|52|17911|doi:10.1039/D3DT03253A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gytw4
title: CCDC 2292787: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Gavrikov, Andrey B. Ilyukhin, Ilya V. Taydakov, Mikhail T. Metlin, Nikolay P. Datskevich, Mikhail E. Buzoverov, Konstantin A. Babeshkin, Nikolay N. Efimov|2023|Dalton Trans.|52|17911|doi:10.1039/D3DT03253A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gytx5
title: CCDC 2292788: Experimental Crystal Structure Determination

description: Related Article: Andrey V. Gavrikov, Andrey B. Ilyukhin, Ilya V. Taydakov, Mikhail T. Metlin, Nikolay P. Datskevich, Mikhail E. Buzoverov, Konstantin A. Babeshkin, Nikolay N. Efimov|2023|Dalton Trans.|52|17911|doi:10.1039/D3DT03253A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10305922
title: Global Transcriptomic Analysis of Placenta from Women with Gestational SARS-CoV-2 Infection during the 3rd Trimester  of Pregnancy

description: Supplementary data for Global Transcriptomic Analysis of Placenta from Women with Gestational SARS-CoV-2 Infection during the 3rd Trimester of Pregnancy
DOI: 10.5281/zenodo.10305921
title: Global Transcriptomic Analysis of Placenta from Women with Gestational SARS-CoV-2 Infection during the 3rd Trimester  of Pregnancy

description: Supplementary data for Global Transcriptomic Analysis of Placenta from Women with Gestational SARS-CoV-2 Infection during the 3rd Trimester of Pregnancy
DOI: 10.6084/m9.figshare.24774597
title: Yellow Soybean Spectrum.docx

description: Raman Spectroscopy
DOI: 10.5066/p9ng986y
title: Post-fire burn severity metrics from 2020 Glass fire in northern California from UAS surveys

description: Two UAS surveys were flown within the 2020 Glass fire extent designated as Glass 1 with 338 images and Glass 3 with 352. Both sites were flown at 50m AGL using a 3DR Solo with a Ricoh GR II in a nadir position. The imagery was processed in WebODM with the following parameters: mesh-octree-depth=13, orthophoto-resolution=1,pc-filter=0,pc-quality=ultra. An orthomosiac and height-above-ground (HAG) raster were derived from both photogrammetry projects. The raster data released herein is a selected area of interest from both study sites. The point clouds are the full, raw dense-clouds; the centroids point file is a collection of hand digitized locations of the in-situ�plots from each study site; and the csv is the observed class percent cover within the plots.

von Nonn, J., Villarreal, M. L., Blesius, L., Davis, J., & Corbett, S. (2023). An open-source workflow for scaling burn severity metrics from drone to satellite to support post-fire watershed management.�Environmental Modelling & Software, 105903.
DOI: 10.5519/qd.d9o6dzsx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (69 records)
DOI: 10.6073/pasta/714fcf73dd3c8bcdbe976113775833bb
title: Continuous Measurement of Canopy Fluorescence at Harvard Forest 2013-2014

description: Vegetation fluorescence, a very small amount of radiation emitted as a byproduct of photosynthesis, is a direct indicator of plant physiology. Monitoring the solar-induced plant fluorescence provides a powerful tool to understand how the plant photosynthesis responds to environmental factors such as solar radiation, temperature and precipitation as well as to stress and disturbance. We installed the ground-based fluorescence observation system to explore the Franhofer lines in the solar spectrum to monitor the canopy fluorescence. Fluorescence data could also be used to link with eddy covariance data in flux towers, the digital camera data and solar radiation data, providing a good supplementary to numerous data collected at Harvard Forest.
DOI: 10.6084/m9.figshare.24774591
title: Green Soybean Spectrum.docx

description: Raman Spectroscopy
DOI: 10.6084/m9.figshare.24774591.v1
title: Green Soybean Spectrum.docx

description: Raman Spectroscopy
DOI: 10.6073/pasta/76f56ccb5856b31245945449894cbabf
title: Partitioning the Components of Soil Respiration in a Trenching Experiment at Harvard Forest 2011

description: Total soil respiration (Rt) is a combination of autotrophic (Ra) and heterotrophic respiration (Rh). We used a trenching method to sever the rooting system surrounding a plot to remove the Ra component within the plot. We used a custom-made automated chamber system to measure soil respiration within the trenched plot and the control in an oak dominated forest with the footprint of the LPH tower. This method has some potential limitations. Reduced water uptake in trenched plots could change soil water content, which is one of the environmental controllers of Rt in many ecosystems. Eliminating root inputs could reduce heterotrophic decomposition of SOM via lack of priming.
DOI: 10.25345/c51z4242k
title: MassIVE MSV000093608 - Decrypting lysine deacetylase inhibitor action and protein modifications by dose-resolved proteomics
title: Lysine deacetylase inhibitors (KDACis) are approved for cutaneous T-cell lymphoma (CTCL) and multiple myeloma. Nevertheless, their mechanisms of action (MoA) remain elusive. To characterize the MoA of these drugs in more detail, we systematically measured dose-dependent changes in protein expression, acetylation, and phosphorylation in response to 21 clinical and pre-clinical KDACis. MV4-11 cells were treated for 6 h with vehicle control and 10 increasing doses of the respective drug (from 100 pM to 30 mM). PTM-carrying and unmodified peptides were analyzed separately by liquid chromatography tandem mass spectrometry (LC-MS/MS) for peptide and protein identification and quantification. Furthermore, time-dependent experiments were carried out for Vorinostat and Panobinostat at their respective pEC50 concentrations from the cell viability data. In an independent experiment, the subcellular proteomes of Panobinostat-treated cells were measured.
DOI: 10.6084/m9.figshare.24774588
title: YellowSoybean_5s_4 _532 nm_3_2__400_x10Vis_600 gr_mm_duo200_01(nm).txt

description: Raman Spectroscopy
DOI: 10.6084/m9.figshare.24774588.v1
title: YellowSoybean_5s_4 _532 nm_3_2__400_x10Vis_600 gr_mm_duo200_01(nm).txt

description: Raman Spectroscopy