cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6030785.v2
title: Does access to natural environments explain differences in the use of wild plants between rural and urban populations?

description: Original dataset from: Cordero et al. 2020, Does access to natural environments explain differences in the use of wild plants between rural and urban populations? <br><br>https://doi.org/10.17129/botsci.2622<br>
DOI: 10.6073/pasta/2830ca3780dc751e7e85057497480383
title: Aboveground biomass from control sites in a Spartina patens-dominated salt marsh at Stackyard Rd, Nelson Island Parker River NWR, Plum Island Ecosystem LTER, Rowley, MA.

description: Aboveground biomass is determined via clippings at permanent, high marsh control (non-fertilized) plots in a Spartina patens-dominated salt marsh on Nelson Island near Stackyard Rd in the Parker River NWR within the Plum Island Ecosystem (PIE) LTER site, MA.
DOI: 10.5517/ccdc.csd.cc25dx3m
title: CCDC 2008400: Experimental Crystal Structure Determination

description: Related Article: Qiong Yu, Fengsheng Li, Ping Yin, Siping Pang, Richard J. Staples, Jean'ne M. Shreeve|2021|J.Mater.Chem.A|9|24903|doi:10.1039/D1TA07520A
DOI: 10.5517/ccdc.csd.cc26j856
title: CCDC 2041417: Experimental Crystal Structure Determination

description: Related Article: Qiong Yu, Fengsheng Li, Ping Yin, Siping Pang, Richard J. Staples, Jean'ne M. Shreeve|2021|J.Mater.Chem.A|9|24903|doi:10.1039/D1TA07520A
DOI: 10.5517/ccdc.csd.cc25dx2l
title: CCDC 2008399: Experimental Crystal Structure Determination

description: Related Article: Qiong Yu, Fengsheng Li, Ping Yin, Siping Pang, Richard J. Staples, Jean'ne M. Shreeve|2021|J.Mater.Chem.A|9|24903|doi:10.1039/D1TA07520A
DOI: 10.5517/ccdc.csd.cc286dlh
title: CCDC 2091526: Experimental Crystal Structure Determination

description: Related Article: Noemi N. Monni, Eduardo Andres-Garcia, Katia Caamaño, Víctor García-López, Juan Modesto Clemente Juan, Mónica Giménez-Marqués, Mariangela M. Oggianu, enzo cadoni, Guillermo Minguez Espallargas, Miguel Clemente Leon, Maria Laura Mercuri, Eugenio Coronado|2021|J.Mater.Chem.A|9|25189|doi:10.1039/D1TA07436A
DOI: 10.5517/ccdc.csd.cc28kxxp
title: CCDC 2102603: Experimental Crystal Structure Determination

description: Related Article: Jing Tan, Yu Tao, Xiangyu Zhang, Qing Wang, Tengwu Zeng, Zhaolin Shi, Kyle E. Cordova, Yongjin Lee, Haiming Liu, Yue-Biao Zhang|2021|J.Mater.Chem.A|9|24857|doi:10.1039/D1TA06828H
DOI: 10.5517/ccdc.csd.cc28kxyq
title: CCDC 2102604: Experimental Crystal Structure Determination

description: Related Article: Jing Tan, Yu Tao, Xiangyu Zhang, Qing Wang, Tengwu Zeng, Zhaolin Shi, Kyle E. Cordova, Yongjin Lee, Haiming Liu, Yue-Biao Zhang|2021|J.Mater.Chem.A|9|24857|doi:10.1039/D1TA06828H
DOI: 10.5517/ccdc.csd.cc28q809
title: CCDC 2106760: Experimental Crystal Structure Determination

description: Related Article: Hao Cheng, Fu-Qiang Song, Na-Na Zhao, Xue-Qin Song|2021|Dalton Trans.|50|16110|doi:10.1039/D1DT03022A
DOI: 10.5517/ccdc.csd.cc28ss73
title: CCDC 2109185: Experimental Crystal Structure Determination

description: Related Article: Wen-Di Xu, Jia-Jun Yan, Meng-Yao Feng, Hai-Yan Li, David James Young, Zhi-Gang Ren|2021|Dalton Trans.|50|16395|doi:10.1039/D1DT03189A
DOI: 10.5517/ccdc.csd.cc28d887
title: CCDC 2097158: Experimental Crystal Structure Determination

description: Related Article: Naokazu Kano, Nathan J. O'Brien, Kosuke Aoki, Yui Matsuda, Tatsuya Morofuji|2021|Dalton Trans.|50|16003|doi:10.1039/D1DT02646A
DOI: 10.5517/ccdc.csd.cc27zwrw
title: CCDC 2085269: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
DOI: 10.5517/ccdc.csd.cc27zwns
title: CCDC 2085266: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
DOI: 10.5517/ccdc.csd.cc27zwkp
title: CCDC 2085263: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
DOI: 10.5517/ccdc.csd.cc27zwlq
title: CCDC 2085264: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
DOI: 10.5517/ccdc.csd.cc27zwpt
title: CCDC 2085267: Experimental Crystal Structure Determination

description: Related Article: Srividya Swaminathan, Jebiti Haribabu, Mohamed Kasim Mohamed Subarkhan, Dasararaju Gayathri, Nithya Balakrishnan, Nattamai Bhuvanesh, Cesar Echeverria, Ramasamy Karvembu|2021|Dalton Trans.|50|16311|doi:10.1039/D1DT02611A
DOI: 10.5281/zenodo.5044781
title: Chloroform fluxes measured at the tundra on King George Island, Antarctica

description: In this study, the first <em>in situ</em> static-chamber measurements were conducted at coastal Antarctica tundra for CHCl<sub>3</sub> fluxes, which showed that CHCl<sub>3</sub> was naturally emitted from the Antarctic tundra. This dataset includes the chloroform fluxes measured from the tundra at the Fildes Peninsula and Ardley Island based upon static-chamber measurements and lab-based incubations under different manipulated conditions. Chloroform concentrations were analyzed by gas chromatography coupled with a mass spectrometry (GC/MS; Agilent 6890N/5973, Agilent Technologies, Santa Clara, CA).
DOI: 10.5281/zenodo.5044780
title: Chloroform fluxes measured at the tundra on King George Island, Antarctica

description: In this study, the first <em>in situ</em> static-chamber measurements were conducted at coastal Antarctica tundra for CHCl<sub>3</sub> fluxes, which showed that CHCl<sub>3</sub> was naturally emitted from the Antarctic tundra. This dataset includes the chloroform fluxes measured from the tundra at the Fildes Peninsula and Ardley Island based upon static-chamber measurements and lab-based incubations under different manipulated conditions. Chloroform concentrations were analyzed by gas chromatography coupled with a mass spectrometry (GC/MS; Agilent 6890N/5973, Agilent Technologies, Santa Clara, CA).
DOI: 10.6084/m9.figshare.17029637.v1
title: Seasonal Antarctic Sea Ice Extent Reconstruction Metadata

description: Reconstruction details for the seasonal Antarctica sea ice reconstructions
DOI: 10.5281/zenodo.4116383
title: WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research

description: The WIDEFT data corpus has been created to provide bursts from wireless devices in the spectrum of Bluetooth, WiFi, and other RF signals to further research of the acquisition and usage of wireless device fingerprints. WIDEFT was developed through the efforts of the Physical Science Laboratories (PSL) at New Mexico State University (NMSU). Data collection was recorded at PSL and at NMSU main campus and cataloged, maintained, and prepared for release at PSL. Please cite the following article: A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, “WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,” <em>IEEE Int. Symp. Technol. Homel. Secur. (HST)</em>, 2021.
description: {"references": ["A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, \"WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,\" IEEE Int. Symp. Technol. Homel. Secur. (HST), 2021."]}
DOI: 10.5281/zenodo.4110980
title: WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research

description: The WIDEFT data corpus has been created to provide bursts from wireless devices in the spectrum of Bluetooth, WiFi, and other RF signals to further research of the acquisition and usage of wireless device fingerprints. WIDEFT was developed through the efforts of the Physical Science Laboratories (PSL) at New Mexico State University (NMSU). Data collection was recorded at PSL and at NMSU main campus and cataloged, maintained, and prepared for release at PSL. Please cite the following article: A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, “WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,” <em>IEEE Int. Symp. Technol. Homel. Secur. (HST)</em>, 2021.
description: {"references": ["A. Bucker Siddik, D. Drake, T. Wilkinson, P. L. De Leon, S. Sandoval, and M. Campos, \"WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device Fingerprint Research,\" IEEE Int. Symp. Technol. Homel. Secur. (HST), 2021."]}
DOI: 10.6084/m9.figshare.16955596
title: DRM dataset

description: data from the control group and the experimental group
DOI: 10.6084/m9.figshare.17029547
title: Table S2

description: Table S2. Summary of carbohydrate-active enzymes (CAZyme), peptidase (PEP), and transporter (TP) transcription at the superkingdom level.
DOI: 10.6084/m9.figshare.17029547.v1
title: Table S2

description: Table S2. Summary of carbohydrate-active enzymes (CAZyme), peptidase (PEP), and transporter (TP) transcription at the superkingdom level.
DOI: 10.6084/m9.figshare.17029679
title: Sea Ice Observations

description: Observations of Antarctic Sea Ice used for the sea ice reconstructions in this project.
DOI: 10.6073/pasta/40de7b5f145c57c5ce6a7a1ac968876a
title: Aboveground biomass from control sites in a Spartina alterniflora-dominated salt marsh at Stackyard Rd, Nelson Island Parker River NWR, Plum Island Ecosystem LTER, Rowley, MA.

description: Aboveground biomass is determined non-destructively at permanent, high marsh control (non-fertilized) plots in a Spartina alterniflora-dominated salt marsh on Nelson Island near Stackyard Rd in the Parker River NWR within the Plum Island Ecosystem (PIE) LTER site, MA.
DOI: 10.18434/mds2-2436
title: Modeling MCPTT and User Behavior in ns-3
DOI: 10.18434/mds2-2465
title: Deterministic Move Lists for Federal Incumbent Protection in the CBRS Band
DOI: 10.18434/mds2-2467
title: A SEM/EDS hyperspectral data set from a deep sea Mn nodule
DOI: 10.6084/m9.figshare.17029592
title: Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling: Constant tropospheric aerosols.

description: This diffuse fraction dataset offers 6-hourly distributions of the diffuse fraction of surface shortwave fluxes over the period 1901-2017. Radiative transfer calculations are based on monthly-averaged distributions of tropospheric and stratospheric aerosol optical depth, and 6-hourly distributions of cloud fraction. Methods follow those described in the Methods section of Mercado et al. (doi:10.1038/nature07949, 2009), but with updated input datasets.<br><br>The time series of speciated tropospheric aerosol optical depth is taken from the historical and RCP8.5 simulations by the HadGEM2-ES climate model (Bellouin et al., doi:10.1029/2011JD016074, 2011). To correct for biases in HadGEM2-ES, tropospheric aerosol optical depths are scaled over the whole period to match the global and monthly averages obtained over the period 2003-2017 by the CAMS Reanalysis of atmospheric composition (Inness et al., doi:10.5194/acp-19-3515-2019, 2019), which assimilates satellite retrievals of aerosol optical depth. In this version of the dataset, monthly distributions of sulfate and carbonaceous optical depth are then averaged over the 1901-1920 period, and those multi-annual monthly averages are used for the whole 1901-2017 period. The only interannual changes in tropospheric aerosols therefore come from mineral dust and seasalt.<br><br>The time series of stratospheric aerosol optical depth is taken from the climatology by Sato et al. (doi:10.1029/93JD02553, 1993), which has been updated to 2012. Years 2013-2017 are assumed to be background years so replicate background year 2010. That assumption is supported by the Global Space-based Stratospheric Aerosol Climatology time series (1979-2016; Thomason et al., doi:10.5194/essd-10-469-2018, 2018).<br><br>The time series of cloud fraction is obtained by scaling the 6-hourly distributions simulated in the Japanese Reanalysis (JRA; Kobayashi et al., doi:10.2151/jmsj.2015-001, 2015) to match the monthly-averaged cloud cover in the CRU TS v4.03 dataset (Harris et al. doi:10.1038/s41597-020-0453-3, 2020).<br><br>Surface radiative fluxes account for aerosol-radiation interactions from both tropospheric and stratospheric aerosols, and for aerosol-cloud interactions from tropospheric aerosols, except mineral dust. Tropospheric aerosols are also assumed to exert interactions with cloud. The radiative effects of those aerosol-cloud interactions are assumed to scale with the radiative effects of aerosol-radiation interactions of tropospheric aerosols, using regional scaling factors derived from HadGEM2-ES.<br><br>Diffuse fraction is assumed to be 1 in cloudy sky. Atmospheric constituent other than aerosols and clouds are set to a constant standard mid-latitude summer atmosphere, but their variations do not affect the diffuse fraction of surface shortwave fluxes.
DOI: 10.18434/mds2-2469
title: SEM/EDS hyperspectral data set from a Famatinite sample
DOI: 10.18434/mds2-2471
title: SEM/EDS hyperspectral data set from platinum group mineral ore embedded in epoxy
DOI: 10.18434/mds2-2480
title: Closed-loop Autonomous Materials Exploration and Optimization 1.0
DOI: 10.6084/m9.figshare.17029703
title: PBL-References.rtf

description: Bile Microbiome Refs
DOI: 10.6084/m9.figshare.17029703.v1
title: PBL-References.rtf

description: Bile Microbiome Refs
DOI: 10.34740/kaggle/dsv/2820671
title: Persian Traffic Sign Dataset (PTSD)
DOI: 10.6084/m9.figshare.17029700
title: 3D translational landslide evolution in sensitive soils

description: The datasets include all used data in a paper, titled at '3D translational landslide evolution in sensitive soils', to Journal of Geophysical Research - Earth Surface, by Dr. Wangcheng Zhang, ETH Zurich - wangcheng.zhang@igt.baug.ethz.ch; and Prof. Alexander Puzrin, ETH Zurich1. Data generated in the study are mainly from analytical calculations and numerical modelling. <br>2. 'Data used.xlsx' includes data for 21 figures and 3 tables of the paper.<br>3. Numerical models used have been described in detail in the paper, including governing equations, discretisation and solving techniques.<br>4. Both raw data (input data) and processed data (by equations or numerical modelling) are given and detailed.<br>5. Numerical contour maps have been attached separately, e.g. Fig13-Contour1.<br>6. Four typical numerical case are given in the form of .mp4 files showing dynamic evolution of tranlational landslides.<br>7. Readers need more information about the data and numerical modelling please contact Dr. Wangcheng Zhang via wangcheng.zhang@igt.baug.ethz.ch.<br><br>
DOI: 10.5281/zenodo.5706393
title: Hypoxylon perforatum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5706392
title: Hypoxylon perforatum SPAdes preassembly

description: .
DOI: 10.5519/qd.cnqkngg2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.17029679.v1
title: Sea Ice Observations

description: Observations of Antarctic Sea Ice used for the sea ice reconstructions in this project.
DOI: 10.5519/qd.g0c4kemj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.6u4lisjl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.ac8o17ov
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.7s4iq0qp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc27f742
title: CCDC 2068293: Experimental Crystal Structure Determination

description: Related Article: Javier López-Cabrelles, Samuel Mañas-Valero, Iñigo J. Vitórica-Yrezábal, Makars Šiškins, Martin Lee, Peter G. Steeneken, Herre S. J. van der Zant, Guillermo Mínguez Espallargas, Eugenio Coronado|2021|J.Am.Chem.Soc.|143|18502|doi:10.1021/jacs.1c07802
DOI: 10.5517/ccdc.csd.cc27f753
title: CCDC 2068294: Experimental Crystal Structure Determination

description: Related Article: Javier López-Cabrelles, Samuel Mañas-Valero, Iñigo J. Vitórica-Yrezábal, Makars Šiškins, Martin Lee, Peter G. Steeneken, Herre S. J. van der Zant, Guillermo Mínguez Espallargas, Eugenio Coronado|2021|J.Am.Chem.Soc.|143|18502|doi:10.1021/jacs.1c07802
DOI: 10.5517/ccdc.csd.cc27f764
title: CCDC 2068295: Experimental Crystal Structure Determination

description: Related Article: Javier López-Cabrelles, Samuel Mañas-Valero, Iñigo J. Vitórica-Yrezábal, Makars Šiškins, Martin Lee, Peter G. Steeneken, Herre S. J. van der Zant, Guillermo Mínguez Espallargas, Eugenio Coronado|2021|J.Am.Chem.Soc.|143|18502|doi:10.1021/jacs.1c07802
DOI: 10.5519/qd.twbrgryc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc27y16g
title: CCDC 2083485: Experimental Crystal Structure Determination

description: Related Article: Ishfaq Ahmad, Dongwook Kim, Rukhillo Kodirov, Soo-Young Yu, Jeong-Min Seo, Javeed Mahmood, Jong-Beom Baek|2021|J.Org.Chem.|86|14398|doi:10.1021/acs.joc.1c01127
DOI: 10.5517/ccdc.csd.cc28pjwd
title: CCDC 2106074: Experimental Crystal Structure Determination

description: Related Article: Nicholas M. Hein, Gregory A. MacNeil, Tim Storr|2021|Inorg.Chem.|60|16895|doi:10.1021/acs.inorgchem.1c02668
DOI: 10.5519/qd.i27veac4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.zx8nvezk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.8xhlswrc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.15mkan2i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.hvmfq75i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.17026937.v1
title: Epigenetic Therapy Augments Classic Chemotherapy in Suppressing the Growth of 3D High-Grade Serous Ovarian Cancer Spheroids over an Extended Period of Time

description: Recurrent high-grade serous ovarian cancer (HGSC) is clinically very challenging and prematurely shortens patients’ lives. Recurrent ovarian cancer is characterized by high tumor heterogeneity; therefore, it is susceptible to epigenetic therapy in classic 2D tissue culture and rodent models. Unfortunately, this success has not translated well into clinical trials. Utilizing a 3D spheroid model over a period of weeks, we were able to compare the efficacy of classic chemotherapy and epigenetic therapy on recurrent ovarian cancer cells. Unexpectedly, in our model, a single dose of paclitaxel alone caused the exponential growth of recurrent high-grade serous epithelial ovarian cancer over a period of weeks. In contrast, this effect is not only opposite under treatment with panobinostat, but panobinostat reverses the repopulation of cancer cells following paclitaxel treatment. In our model, we also demonstrate differences in the drug-treatment sensitivity of classic chemotherapy and epigenetic therapy. Moreover, 3D-derived ovarian cancer cells demonstrate induced proliferation, migration, invasion, cancer colony formation and chemoresistance properties after just a single exposure to classic chemotherapy. To the best of our knowledge, this is the first evidence demonstrating a critical contrast between short and prolonged post-treatment outcomes following classic chemotherapy and epigenetic therapy in recurrent high-grade serous ovarian cancer in 3D culture.
DOI: 10.6084/m9.figshare.17026937
title: Epigenetic Therapy Augments Classic Chemotherapy in Suppressing the Growth of 3D High-Grade Serous Ovarian Cancer Spheroids over an Extended Period of Time

description: Recurrent high-grade serous ovarian cancer (HGSC) is clinically very challenging and prematurely shortens patients’ lives. Recurrent ovarian cancer is characterized by high tumor heterogeneity; therefore, it is susceptible to epigenetic therapy in classic 2D tissue culture and rodent models. Unfortunately, this success has not translated well into clinical trials. Utilizing a 3D spheroid model over a period of weeks, we were able to compare the efficacy of classic chemotherapy and epigenetic therapy on recurrent ovarian cancer cells. Unexpectedly, in our model, a single dose of paclitaxel alone caused the exponential growth of recurrent high-grade serous epithelial ovarian cancer over a period of weeks. In contrast, this effect is not only opposite under treatment with panobinostat, but panobinostat reverses the repopulation of cancer cells following paclitaxel treatment. In our model, we also demonstrate differences in the drug-treatment sensitivity of classic chemotherapy and epigenetic therapy. Moreover, 3D-derived ovarian cancer cells demonstrate induced proliferation, migration, invasion, cancer colony formation and chemoresistance properties after just a single exposure to classic chemotherapy. To the best of our knowledge, this is the first evidence demonstrating a critical contrast between short and prolonged post-treatment outcomes following classic chemotherapy and epigenetic therapy in recurrent high-grade serous ovarian cancer in 3D culture.
DOI: 10.5281/zenodo.5645293
title: The impact of Syrian Civil War on cultivated cropland dynamics

description: The data needed to replicate paper --'The impact of Syrian Civil War on cultivated cropland dynamics'
DOI: 10.5281/zenodo.5645292
title: The impact of Syrian Civil War on cultivated cropland dynamics

description: The data needed to replicate paper --'The impact of Syrian Civil War on cultivated cropland dynamics'
DOI: 10.6084/m9.figshare.14991624.v1
title: Data and Code for Yang et al. The global loss of floristic uniqueness

description: Including the data and R codes for Yang et al. The global loss of floristic uniqueness.
DOI: 10.15468/kh6p8z
title: Chionanthus abriaquiensis Fern. Alonso & Cogollo (Oleaceae), una nueva especie de Colombia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fernández-Alonso, José Luis, Cogollo-Pacheco, Álvaro (2016): Chionanthus abriaquiensis Fern. Alonso & Cogollo (Oleaceae), una nueva especie de Colombia. Candollea 71 (1): 61-66, DOI: http://dx.doi.org/10.15553/c2016v711a8
DOI: 10.6073/pasta/50a287716f80d2b1b602dcceac5a6e5c
title: Marcell Experimental Forest stable isotopes of water, 2008 - ongoing

description: This data set reports natural abundance water stable isotope values (deuterium and oxygen-18) from the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. Samples of precipitation, snowpack, stream, bog, lagg, soil water, upland runoff, lake water and aquifer groundwater have been collected since 2008 for chemistry measurement. Sampling is ongoing. The samples originate from multiple research plots and catchments, with many of the samples collected as part of the Spruce and Peatland Responses Under Changing Environments (SPRUCE) experiment. Water isotopes have been measured for some but not all samples. More values from more sites will be added as the archive of water samples is analyzed for water isotopes. The MEF is operated, maintained, and funded by the USDA Forest Service, Northern Research Station. The SPRUCE experiment is a multi-year cooperative project among scientists of the Oak Ridge National Laboratory operated by UT-Battelle, LLC and the USDA Forest Service, Northern Research Station, with funding from the US Department of Energy, Biological and Environmental Research Program