cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/0e80e12edb7e4dc9b9219df77c0fe9d6
title: Chapter 2 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 2.25 (v20211005)

description: Data for Figure 2.25 from Chapter 2 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 2.25 shows changes in permafrost temperature for 4 Arctic regions over the period 1974-2019 shown as average departures from the International Polar Year (2007-2009) baseline. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Gulev, S.K., P.W. Thorne, J. Ahn, F.J. Dentener, C.M. Domingues, S. Gerland, D. Gong, D.S. Kaufman, H.C. Nnamchi, J. Quaas, J.A. Rivera, S. Sathyendranath, S.L. Smith, B. Trewin, K. von Schuckmann, and R.S. Vose, 2021: Changing State of the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 287–422, doi:10.1017/9781009157896.004. --------------------------------------------------- List of data provided --------------------------------------------------- The dataset contains regional average departures (anomalies) of observed permafrost temperature relative to International Polar Year (2007-20909) baseline from 1974-2019 for 4 regions as defined in Romanovsky et al. (2017): - Permafrost temperature Barents region (1974-2019) - Permafrost temperature Baffin Bay Davis Strait region (1979-2019) - Permafrost temperature anomaly Beaufort-Chukchi Sea region (1978-2019) - Permafrost temperature Interior Alaska and Central Mackenzie Valley NWT (1983-2019) --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Data provided in relation to Figure 2.25 Data file: Arctic_permafrost_temperature_anomaly.csv; (annual data, average regional anomalies) relates to green line (Barents), purple line (Baffin), blue line (Beaufort-Chukchi) and red line (Interior Alaska and Central Mackenzie Valley) --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Chapter 2) - Link to the Supplementary Material for Chapter 2, which contains details on the input data used in Table 2.SM.1 - Link to input data figure 2.25.
DOI: 10.5281/zenodo.8110710
title: Reconstructed upper-ocean temperature, salinity, and sea ice at the Last Glacial Maximum

description: These data accompany the published article Amrhein, D. E., Wunsch, C., Marchal, O., & Forget, G. (2018). A global glacial ocean state estimate constrained by upper-ocean temperature proxies. <em>Journal of Climate</em>, <em>31</em>(19), 8059-8079. https://doi.org/10.1175/JCLI-D-17-0769.1 Seasonal reconstructions of upper-ocean temperatures, salinity, and sea ice concentrations from Amrhein et al. (2018). Two sets of fields are available: GLACIAL, from the last glacial maximum ocean state estimation, and MODERN, from a similar model configuration but run to quasi-equilibrium under modern forcing conditions. GLACIAL minus MODERN anomaly values are likely to be more robust than standalone values from GLACIAL because of ocean drifts over millennial time scales present in both GLACIAL and MODERN. See publication for further information. See the MITgcm documentation for additional details on model variables. Files in Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_areai_seas: Monthly maps of fractional sea ice area estimated at the LGM<br> lgm_heffi_seas: Monthly maps of sea ice thickness estimated at the LGM<br> mod_areai_seas: Monthly maps of fractional sea ice area simulated for modern climate<br> mod_heffi_seas: Monthly maps of sea ice thickness simulated for modern climate Files in Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_Si_seas: Monthly maps of upper-ocean salinity estimated at the LGM<br> lgm_Ti_seas: Monthly maps of upper-ocean temperature estimated at the LGM<br> mod_Si_seas: Monthly maps of upper-ocean salinity simulated for modern climate<br> mod_Ti_seas: Monthly maps of upper-ocean temperature simulated for modern climate A simple plot of, e.g., estimated LGM January upper-ocean temperatures can be made in MATLAB by putting the file in your working directory and running <pre><code>load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat</code></pre> These data are a subset of those generated in the full state estimate. If additional variables are needed, please contact damrhein@ucar.edu and I can update this repository.
DOI: 10.5281/zenodo.8110709
title: Reconstructed upper-ocean temperature, salinity, and sea ice at the Last Glacial Maximum

description: These data accompany the published article Amrhein, D. E., Wunsch, C., Marchal, O., & Forget, G. (2018). A global glacial ocean state estimate constrained by upper-ocean temperature proxies. <em>Journal of Climate</em>, <em>31</em>(19), 8059-8079. https://doi.org/10.1175/JCLI-D-17-0769.1 Seasonal reconstructions of upper-ocean temperatures, salinity, and sea ice concentrations from Amrhein et al. (2018). Two sets of fields are available: GLACIAL, from the last glacial maximum ocean state estimation, and MODERN, from a similar model configuration but run to quasi-equilibrium under modern forcing conditions. GLACIAL minus MODERN anomaly values are likely to be more robust than standalone values from GLACIAL because of ocean drifts over millennial time scales present in both GLACIAL and MODERN. See publication for further information. See the MITgcm documentation for additional details on model variables. Files in Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_areai_seas: Monthly maps of fractional sea ice area estimated at the LGM<br> lgm_heffi_seas: Monthly maps of sea ice thickness estimated at the LGM<br> mod_areai_seas: Monthly maps of fractional sea ice area simulated for modern climate<br> mod_heffi_seas: Monthly maps of sea ice thickness simulated for modern climate Files in Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat are: lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_Si_seas: Monthly maps of upper-ocean salinity estimated at the LGM<br> lgm_Ti_seas: Monthly maps of upper-ocean temperature estimated at the LGM<br> mod_Si_seas: Monthly maps of upper-ocean salinity simulated for modern climate<br> mod_Ti_seas: Monthly maps of upper-ocean temperature simulated for modern climate A simple plot of, e.g., estimated LGM January upper-ocean temperatures can be made in MATLAB by putting the file in your working directory and running <pre><code>load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat</code></pre> These data are a subset of those generated in the full state estimate. If additional variables are needed, please contact damrhein@ucar.edu and I can update this repository.
DOI: 10.6073/pasta/5d81c463cc5be38f7dd96eae2715322f
title: North Temperate Lakes LTER: Fish Abundance 1981 - current

description: This data set is a derived data set based on fish catch data. Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples three littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Derived data sets include species richness, catch per unit effort, and size distribution by species, lake, and year. Protocol used to generate data: Day seines were only used in 1981 and have been eliminated from this data set to make sampling effort across years comparable. Number caught for each species is summed over repetitions of a gear within a lake and over depth. For information on fish stocking by the Wisconsin Department of Natural Resources in LTER lakes in Dane and Vilas counties, see https://dnr.wi.gov/fisheriesmanagement/Public/Summary/Index The only sampling done in 2020 were a single gill-netting replicate in Sparkling, Crystal, and Trout lakes. Sampling Frequency: annually. Number of sites: 11
DOI: 10.6073/pasta/7540b9201b1dbc7ab1074d40cf9da115
title: North Temperate Lakes LTER: Pelagic Prey - Sonar Data 2001 - current

description: Total pelagic fish abundance data were collected annually in mid-summer using sonar along a set of transects in each of eight lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, Mendota, Monona, and Fish), from 1981-1999, and in Lakes Monona and Fish from 1995-1999. This data is not available online (contact gahler@wisc.edu). No data was collected in 2000. In 2001, collection resumed on Crystal, Sparkling, and Trout. In 2005, collection resumed on Lake Mendota. This data is included in this dataset as CSV files. The data represent lake-wide density estimates for abundant pelagic prey species in each lake. The sampling on each lake was conducted in depths greater than 5 meters to avoid hazards to equipment. In addition, because of the near field acoustic effects, the upper 2 meters of the water column is not represented in the data. Although they were rare, large targets representing predatory species were excluded from the density estimation for pelagic prey species using the proportion of large targets identified during single target analysis on each lake. Densities for Sparkling, Crystal and Mendota are for the entire basin of each lake. The data shown for Trout Lake represent densities in only the south basin. Number of sites: 4
DOI: 10.22003/xfel.eu-data-900325-00
title: SPB/SFX MHz Microscopy Commissioning
DOI: 10.22003/xfel.eu-data-900329-00
title: AGIPD at MID commissioning and calibration
DOI: 10.22003/xfel.eu-data-900330-00
title: SASE1 Instrumentation Commissioning
DOI: 10.22003/xfel.eu-data-900333-00
title: HXRSS studies comissioning
DOI: 10.22003/xfel.eu-data-900340-00
title: AGIPD at SPB  commissioning and calibration
DOI: 10.22003/xfel.eu-data-900345-00
title: LASER SASE1 commissioning
DOI: 10.22003/xfel.eu-data-900346-00
title: LASER SASE2 commissioning
DOI: 10.22003/xfel.eu-data-900347-00
title: LASER SASE3 commissioning
DOI: 10.22003/xfel.eu-data-900349-00
title: SASE3 Instrumentation Commissioning
DOI: 10.22003/xfel.eu-data-900351-00
title: SASE2 Instrumentation Commissioning
DOI: 10.22003/xfel.eu-data-900355-00
title: DSSC Commissioning
DOI: 10.22003/xfel.eu-data-900356-00
title: DSSC prototype commissioning
DOI: 10.5281/zenodo.8111374
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Harvey, http://www.wikidata.org/entity/Q1378128. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1378128
DOI: 10.5517/ccdc.csd.cc2br4v3
title: CCDC 2167205: Experimental Crystal Structure Determination

description: Related Article: Raul L. L. Carmo, Samuel L. Galster, Tomasz Wdowik, Chaeeon Song, Sherry R. Chemler|2023|J.Am.Chem.Soc.|145|13715|doi:10.1021/jacs.3c01985
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.cc2bx68r
title: CCDC 2172054: Experimental Crystal Structure Determination

description: Related Article: Ze-Shu Wang, Steven H. Bennett, Bilal Kicin, Changcheng Jing, Johan A. Pradeilles, Karen Thai, James R. Smith, P. David Bacoş, Valerio Fasano, Carla M. Saunders, Varinder K. Aggarwal|2023|J.Am.Chem.Soc.|145|14124|doi:10.1021/jacs.3c04582
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.8111373
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Harvey, http://www.wikidata.org/entity/Q1378128. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1378128
DOI: 10.5517/ccdc.csd.cc2g5dqs
title: CCDC 2269315: Experimental Crystal Structure Determination

description: Related Article: J.A. Golen, D.R. Manke|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|648|doi:10.1107/S2056989023005261
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.8111382
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Harvey, http://www.wikidata.org/entity/Q1378128. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1378128
DOI: 10.5281/zenodo.8111381
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Harvey, http://www.wikidata.org/entity/Q1378128. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1378128
DOI: 10.5281/zenodo.8111386
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Coulter, http://www.wikidata.org/entity/Q2029038. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q2029038
DOI: 10.6084/m9.figshare.23620488
title: The ARRIVE guidelines 2.0: author checklist

description: The ARRIVE guidelines 2.0: author checklist
DOI: 10.13145/bacdive106154.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106155.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106156.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106157.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106158.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106159.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106944.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106945.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106946.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106947.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106948.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106949.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106950.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106951.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive106952.20180622.3
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.1303269
title: Antibodies To Fimh In Anti-Neutrophil Cytoplasmic Antibody - Associated Vasculitis

description: Peptide microarray containing 4216 unique peptides from 88 different microorganisms represented by validated B-cell epitopes selected from the Immune Epitope Database (http://www.iedb.org). A total of 1509 bacterial, 2311 viral, 12 fungal and 384 protozoal epitopes were printed on the arrays. This array was probed with serum from 8 patients with ANCA-associated vasculitis collected at presentation with the disease as well as in remission and analysed for binding by IgM and IgG.
description: Further funding: 
- ERA-EDTA long-term fellowship (111-2012), 
- NIHR (IRAS project ID 106330).
DOI: 10.5281/zenodo.1303270
title: Antibodies To Fimh In Anti-Neutrophil Cytoplasmic Antibody - Associated Vasculitis

description: Peptide microarray containing 4216 unique peptides from 88 different microorganisms represented by validated B-cell epitopes selected from the Immune Epitope Database (http://www.iedb.org). A total of 1509 bacterial, 2311 viral, 12 fungal and 384 protozoal epitopes were printed on the arrays. This array was probed with serum from 8 patients with ANCA-associated vasculitis collected at presentation with the disease as well as in remission and analysed for binding by IgM and IgG.
description: Further funding: 
- ERA-EDTA long-term fellowship (111-2012), 
- NIHR (IRAS project ID 106330).
DOI: 10.13145/bacdive102061.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102062.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102063.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102064.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102065.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102066.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102067.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102068.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102069.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102877.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102878.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102879.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102880.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102881.20180622.3
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.