cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7370336
title: [IO Islamic 780] قصّۀ بهرامگور و بانوى حسن

description: <strong>Ḳiṣṣ-i-Bahrâmgûr u Bânui-Ḥasan.</strong> <strong>This manuscript is now IO Islamic 849 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 780 here with notations and hyperlinks].</strong> 849 Ḳiṣṣ-i-Bahrâmgûr u Bânui-Ḥasan ( قصّۀ بهرامگور و بانوى حسن). A Persian romance, the love-story of Bahrâmgûr and the fair princess, the daughter of the king of the Perîs. Beginning: راويان اخبار و ناقلان آثار و طوطيان شكر شكن شيرين گفتار و مهندسان سخن و گوشه نشينان كهن چنين روايت كرده اند که در شهر فارس پادشاهى بود بعدل و داد تمام خلق و بغايت خوش روى الخ. A shorter version of the same story is noticed in W. Pertsch, Berlin Cat., p. 989, No. 12, in the first line. Dated the 8th of Jumâdâ-althânî, A.H. 1198 (A.D. 1784, April 29). No. 780, ff. 50, ll. 17; large and distinct Nasta’lîḳ; size, 8<sup>3/4</sup> in. by 5<sup>3/8</sup> in.
DOI: 10.25934/pr00001631.0
title: Data Package for study.

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/pr00001412.1
title: Available IPD datapackage for study 'A Multicenter, Double-Blind, Randomized, Parallel-group Evaluation of LAMICTAL Extended-release Adjunctive Therapy in Subjects With Partial Seizures'

description: This study is being conducted to compare the efficacy and safety of LAMICTAL (lamotrigine) extended-release with placebo in the treatment of partial seizures. LAMICTAL extended-release is an investigational drug. Placebo tablets look like LAMICTAL extended-release tablets but do not contain active medication. In this study, LAMICTAL extended-release or placebo tablets will be added to current seizure treatments.
DOI: 10.3886/e183281
title: Basic Psychological Needs, Coping, and Subjective Quality of Life Among Tenants at Risk of Eviction

description: This is a sample of 344 tenants in 5 Dutch cities who received a second notification from a bailiff because of their rent arrears. Included are the demographic data and the scores for the Basic Psychological Needs Scale, Coping Strategy Indicator, and Lehman's Quality of Life. Tenants were interviewed between November 2011 and February 2013.
description: Tenants of housing associations in 5 Dutch cities who received a second notification from a bailiff because of their rent arrears.
DOI: 10.3886/e183281v1
title: Basic Psychological Needs, Coping, and Subjective Quality of Life Among Tenants at Risk of Eviction

description: This is a sample of 344 tenants in 5 Dutch cities who received a second notification from a bailiff because of their rent arrears. Included are the demographic data and the scores for the Basic Psychological Needs Scale, Coping Strategy Indicator, and Lehman's Quality of Life. Tenants were interviewed between November 2011 and February 2013.
description: Tenants of housing associations in 5 Dutch cities who received a second notification from a bailiff because of their rent arrears.
DOI: 10.5281/zenodo.6408902
title: Data from "Disk Evolution Study Through Imaging of Nearby Young Stars (DESTINYS): A Panchromatic View of DO Tau's Complex Kilo-au Environment'

description: Reduced data from Huang et al., 2022, "Disk Evolution Study Through Imaging of Nearby Young Stars (DESTINYS): A Panchromatic View of DO Tau's Complex Kilo-astronomical-unit Environment,' ApJ, 930, 171 (arXiv:2204.01758). See Table 1 of the article for the corresponding observing program codes and attributions for archival data (if applicable). <strong>Images:</strong> DOTau_12CO_automask.image.pbcor.fits: 12CO J=2-1 image cube<br> DOTau_12CO_automask.mom1.fits: 12CO J=2-1 moment 1 map<br> DOTau_12CO_automask.pbcor.2sigcut.mom0.fits: 12CO J=2-1 moment 0 map<br> DOTau_13CO_automask.image.pbcor.fits: 13CO J=2-1 image cube<br> DOTau_13CO_automask.mom1.fits: 13CO J=2-1 moment 1 map<br> DOTau_13CO_automask.pbcor.2sigcut.mom0.fits: 13CO J=2-1 moment 0 map<br> DOTau_C18O_automask.image.pbcor.fits: C18O J=2-1 image cube<br> DOTau_C18O_automask.pbcor.2sigcut.mom0.fits: C18O J=2-1 moment 0 map<br> DOTau_C18O_automask.pbcor.mom1.fits: C18O J=2-1 moment 1 map<br> DOTau_cADI_average.fits: SPHERE H-band cADI image (pixel scale: 0.01225 arcseconds)<br> DOTau_CS_automask.image.pbcor.fits: DO Tau CS J=5-4 image cube<br> DOTau_CS_automask.mom1.fits: DO Tau CS J=5-4 moment 1 map<br> DOTau_CS_automask.pbcor.2sigcut.mom0.fits: DO Tau CS J=5-4 moment 0 map<br> DOTau_DoLP.fits: DO Tau degree of linear polarization map (pixel scale: .0245 arcseconds)<br> DOTau_IDF-RDI.fits: SPHERE total intensity image produced with IDF-RDI (pixel scale: 0.01225 arcseconds)<br> DO-TAU_NICMOS_F110W_MRDILib-18_KL-2_Pixel.fits: HST NICMOS F110W image (pixel scale: 0.075 arcseconds)<br> DO-TAU_NICMOS_F160W_MRDILib-100_KL-1_Pixel.fits: HST NICMOS F160W image (pixel scale: 0.075 arcseconds)<br> DOTau_Qphi_average.fits: SPHERE H-band Qphi image (pixel scale: 0.01225 arcseconds)<br> DO_Tau_STIS_KlipWithin160pixel_counts_s_pixel.fits: HST STIS image (pixel scale: 0.0507 arcseconds) <strong>Measurement sets:</strong> DOTau_12CO.ms.contsub.tar: Self-calibrated, continuum-subtracted 12CO J=2-1 visibilities<br> DOTau_13CO.ms.contsub.tar: Self-calibrated, continuum-subtracted 13CO J=2-1 visibilities<br> DOTau_C18O.ms.contsub.tar: Self-calibrated, continuum-subtracted C18O J=2-1 visibilities<br> DOTau_CS.ms.contsub.tar: Self-calibrated, continuum-subtracted CS J=5-4 visibilities <strong>Scripts:</strong> DOTau_1.1mmreduction.py: CASA self-cal and imaging script for CS data <br> DOTau_1.3mmreduction.py: CASA self-cal and imaging script for CO data
DOI: 10.5281/zenodo.6408903
title: Data from "Disk Evolution Study Through Imaging of Nearby Young Stars (DESTINYS): A Panchromatic View of DO Tau's Complex Kilo-au Environment'

description: Reduced data from Huang et al., 2022, "Disk Evolution Study Through Imaging of Nearby Young Stars (DESTINYS): A Panchromatic View of DO Tau's Complex Kilo-astronomical-unit Environment,' ApJ, 930, 171 (arXiv:2204.01758). See Table 1 of the article for the corresponding observing program codes and attributions for archival data (if applicable). <strong>Images:</strong> DOTau_12CO_automask.image.pbcor.fits: 12CO J=2-1 image cube<br> DOTau_12CO_automask.mom1.fits: 12CO J=2-1 moment 1 map<br> DOTau_12CO_automask.pbcor.2sigcut.mom0.fits: 12CO J=2-1 moment 0 map<br> DOTau_13CO_automask.image.pbcor.fits: 13CO J=2-1 image cube<br> DOTau_13CO_automask.mom1.fits: 13CO J=2-1 moment 1 map<br> DOTau_13CO_automask.pbcor.2sigcut.mom0.fits: 13CO J=2-1 moment 0 map<br> DOTau_C18O_automask.image.pbcor.fits: C18O J=2-1 image cube<br> DOTau_C18O_automask.pbcor.2sigcut.mom0.fits: C18O J=2-1 moment 0 map<br> DOTau_C18O_automask.pbcor.mom1.fits: C18O J=2-1 moment 1 map<br> DOTau_cADI_average.fits: SPHERE H-band cADI image (pixel scale: 0.01225 arcseconds)<br> DOTau_CS_automask.image.pbcor.fits: DO Tau CS J=5-4 image cube<br> DOTau_CS_automask.mom1.fits: DO Tau CS J=5-4 moment 1 map<br> DOTau_CS_automask.pbcor.2sigcut.mom0.fits: DO Tau CS J=5-4 moment 0 map<br> DOTau_DoLP.fits: DO Tau degree of linear polarization map (pixel scale: .0245 arcseconds)<br> DOTau_IDF-RDI.fits: SPHERE total intensity image produced with IDF-RDI (pixel scale: 0.01225 arcseconds)<br> DO-TAU_NICMOS_F110W_MRDILib-18_KL-2_Pixel.fits: HST NICMOS F110W image (pixel scale: 0.075 arcseconds)<br> DO-TAU_NICMOS_F160W_MRDILib-100_KL-1_Pixel.fits: HST NICMOS F160W image (pixel scale: 0.075 arcseconds)<br> DOTau_Qphi_average.fits: SPHERE H-band Qphi image (pixel scale: 0.01225 arcseconds)<br> DO_Tau_STIS_KlipWithin160pixel_counts_s_pixel.fits: HST STIS image (pixel scale: 0.0507 arcseconds) <strong>Measurement sets:</strong> DOTau_12CO.ms.contsub.tar: Self-calibrated, continuum-subtracted 12CO J=2-1 visibilities<br> DOTau_13CO.ms.contsub.tar: Self-calibrated, continuum-subtracted 13CO J=2-1 visibilities<br> DOTau_C18O.ms.contsub.tar: Self-calibrated, continuum-subtracted C18O J=2-1 visibilities<br> DOTau_CS.ms.contsub.tar: Self-calibrated, continuum-subtracted CS J=5-4 visibilities <strong>Scripts:</strong> DOTau_1.1mmreduction.py: CASA self-cal and imaging script for CS data <br> DOTau_1.3mmreduction.py: CASA self-cal and imaging script for CO data
DOI: 10.5281/zenodo.3928861
title: Data from "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup"

description: Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data from Huang et al., 2020, "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup," ApJ, 898, 140 (arXiv:2007.02974) The raw ALMA data can be found at the ALMA archive under program ID 2018.1.01201.S (PI: Jane Huang). <strong>Scripts:</strong> selfcal_C43-5.py, selfcal_C43-2.py, selfcal_ACA.py: self-calibration scripts for observation of RU Lup in various ALMA configurations imaging.py: imaging script used for all lines reductionutils.py can be downloaded from https://zenodo.org/record/3628656 <strong>Measurement sets:</strong> RULupcontinuum.ms.tgz: Continuum visibilities for "RULupallcontinuum.image.pbcor.fits" (the high-resolution ALMA continuum data can be found on the DSHARP page) RULup_12CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>12</sup>CO J=2-1 line toward RU Lup RULup_12CO_nocontsub.ms.tgz: Visibilities for the <sup>12</sup>CO J=2-1 line (no continuum subtraction) toward RU Lup, used to make the 'RULup_12COpeakintensity.fits' file. RULup_13CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>13</sup>CO J=2-1 line toward RU Lup RULup_C18O.ms.contsub.tgz: Continuum-subtracted visibilities for the C<sup>18</sup>O J=2-1 line toward RU Lup RULup_DCOp.ms.contsub.tgz: Continuum-subtracted visibilities for the DCO<sup>+</sup> J=3-2 line toward RU Lup <strong>Images: </strong> RULup12CO.1sigcut.pbcor.mom0.fits: Integrated intensity map of <sup>12</sup>CO J=2-1 appearing in Fig. 1 RULup12CO.pbcor.mom1.fits: <sup>12</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULup13CO.pbcor.mom0.fits: Integrated intensity map of <sup>13</sup>CO J=2-1 appearing in Fig. 1 RULup13CO.pbcor.mom1.fits: <sup>13</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULupC18O.pbcor.mom0.fits: Integrated intensity map of C<sup>18</sup>O J=2-1 appearing in Fig. 1 RULupC18O.pbcor.mom1.fits: C<sup>18</sup>O J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULup12CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 2 RULupC18O.image.pbcor.fits: C<sup>18</sup>O J=2-1 image cube appearing in Fig. 2 RULup13CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 3 RULup_12COpeakintensity.fits: Peak intensity image of <sup>12</sup>CO used to make Figure 4 RULupDCOp.pbcor.mom0.fits: Integrated intensity map of DCO<sup>+</sup> J=3-2 appearing in Fig. 10 RULupDCOp.image.pbcor.fits: DCO<sup>+</sup> J=3-2 image cube appearing in Fig. 11 RULupallcontinuum.image.pbcor.fits: Continuum image appearing in Fig. 12 RULup12COinitial.mask.image.fits: <sup>12</sup>CO CLEAN mask shown in Fig. 13
DOI: 10.5281/zenodo.3928862
title: Data from "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup"

description: Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data from Huang et al., 2020, "Large-scale CO spirals and complex kinematics associated with the T Tauri star RU Lup," ApJ, 898, 140 (arXiv:2007.02974) The raw ALMA data can be found at the ALMA archive under program ID 2018.1.01201.S (PI: Jane Huang). <strong>Scripts:</strong> selfcal_C43-5.py, selfcal_C43-2.py, selfcal_ACA.py: self-calibration scripts for observation of RU Lup in various ALMA configurations imaging.py: imaging script used for all lines reductionutils.py can be downloaded from https://zenodo.org/record/3628656 <strong>Measurement sets:</strong> RULupcontinuum.ms.tgz: Continuum visibilities for "RULupallcontinuum.image.pbcor.fits" (the high-resolution ALMA continuum data can be found on the DSHARP page) RULup_12CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>12</sup>CO J=2-1 line toward RU Lup RULup_12CO_nocontsub.ms.tgz: Visibilities for the <sup>12</sup>CO J=2-1 line (no continuum subtraction) toward RU Lup, used to make the 'RULup_12COpeakintensity.fits' file. RULup_13CO.ms.contsub.tgz: Continuum-subtracted visibilities for the <sup>13</sup>CO J=2-1 line toward RU Lup RULup_C18O.ms.contsub.tgz: Continuum-subtracted visibilities for the C<sup>18</sup>O J=2-1 line toward RU Lup RULup_DCOp.ms.contsub.tgz: Continuum-subtracted visibilities for the DCO<sup>+</sup> J=3-2 line toward RU Lup <strong>Images: </strong> RULup12CO.1sigcut.pbcor.mom0.fits: Integrated intensity map of <sup>12</sup>CO J=2-1 appearing in Fig. 1 RULup12CO.pbcor.mom1.fits: <sup>12</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULup13CO.pbcor.mom0.fits: Integrated intensity map of <sup>13</sup>CO J=2-1 appearing in Fig. 1 RULup13CO.pbcor.mom1.fits: <sup>13</sup>CO J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULupC18O.pbcor.mom0.fits: Integrated intensity map of C<sup>18</sup>O J=2-1 appearing in Fig. 1 RULupC18O.pbcor.mom1.fits: C<sup>18</sup>O J=2-1 intensity-weighted velocity map appearing in Fig. 1 RULup12CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 2 RULupC18O.image.pbcor.fits: C<sup>18</sup>O J=2-1 image cube appearing in Fig. 2 RULup13CO.image.pbcor.fits: <sup>12</sup>CO J=2-1 image cube appearing in Fig. 3 RULup_12COpeakintensity.fits: Peak intensity image of <sup>12</sup>CO used to make Figure 4 RULupDCOp.pbcor.mom0.fits: Integrated intensity map of DCO<sup>+</sup> J=3-2 appearing in Fig. 10 RULupDCOp.image.pbcor.fits: DCO<sup>+</sup> J=3-2 image cube appearing in Fig. 11 RULupallcontinuum.image.pbcor.fits: Continuum image appearing in Fig. 12 RULup12COinitial.mask.image.fits: <sup>12</sup>CO CLEAN mask shown in Fig. 13
DOI: 10.6084/m9.figshare.12848897
title: The use of experimental design for optimisation of QuEChERS extraction of commonly used pesticides in Egyptian soil and drainage water and their determination by GC/MS

description: In this study, a Quick, Easy, Cheap, Effective, Rugged and Safe method (QuEChERS) method was optimised to extract 30 pesticides which are the most used in Egypt in soil and drainage water. Optimisation was performed by Experimental Design expert 7.1 to get better recoveries. The procedure combined with a developed GC-MS for determination of these pesticides. Total analysis time was 36 min with 1 ml injection volume. The limit of quantification (LOQ) was ranged between 4.59 ng/ml, and 15.91 ng/ml for all pesticides. Most standard deviations were in the range between 0.41 and 1.41 indicating satisfactory accuracy. The validated method was applied to Egyptian soil and drainage water samples brought from different places in Damietta city. Dimethoate, β-Endosulfan, DDD, Malathion, Vinclozolin, DDT, Endrin, Cyprodinil, Primiphos ethyl, Tetradifon, Parathion ethyl and Diazinon were detected and quantified. So risk assessment on human health should be considered especially for those pesticides.
DOI: 10.6084/m9.figshare.12848897.v2
title: The use of experimental design for optimisation of QuEChERS extraction of commonly used pesticides in Egyptian soil and drainage water and their determination by GC/MS

description: In this study, a Quick, Easy, Cheap, Effective, Rugged and Safe method (QuEChERS) method was optimised to extract 30 pesticides which are the most used in Egypt in soil and drainage water. Optimisation was performed by Experimental Design expert 7.1 to get better recoveries. The procedure combined with a developed GC-MS for determination of these pesticides. Total analysis time was 36 min with 1 ml injection volume. The limit of quantification (LOQ) was ranged between 4.59 ng/ml, and 15.91 ng/ml for all pesticides. Most standard deviations were in the range between 0.41 and 1.41 indicating satisfactory accuracy. The validated method was applied to Egyptian soil and drainage water samples brought from different places in Damietta city. Dimethoate, β-Endosulfan, DDD, Malathion, Vinclozolin, DDT, Endrin, Cyprodinil, Primiphos ethyl, Tetradifon, Parathion ethyl and Diazinon were detected and quantified. So risk assessment on human health should be considered especially for those pesticides.
DOI: 10.5281/zenodo.3628655
title: Data from "A multi-frequency ALMA characterization of substructures in the GM Aur protoplanetary disk"

description: Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data associated with Huang et al., 2020, "A multi-frequency ALMA characterization of substructures in the GM Aur protoplanetary disk," The Astrophysical Journal, 891, 48, arXiv:2001.11040 The raw data are available on the ALMA archive under program IDs 2017.1.01151.S and 2018.1.01230.S (PI: Jane Huang). <strong>Scripts:</strong> reduction_utils.py: Set of helper functions for self-calibration scripts B4continuumreduction.py: Self-calibration and imaging script for Band 4 (2.1 mm) continuum (GMAurB4continuumfinal.image.fits) from GMAurB4continuum.final.ms.tgz B6continuumreduction.py: Self-calibration and imaging script for Band 6 (1.1 mm) continuum (GMAurB6continuumfinal.image.fits) from GMAurB6continuum.final.ms.tgz HCOp_imaging.py: Script producing GMAur_HCOp_continuumsubtracted.image.fits and GMAur_HCOp_withcontinuum.image.fits from GMAurB6_HCOp.ms.contsub.cvel and GMAurB6_HCOp.ms.cvel, respectively <strong>Measurement sets:</strong> GMAurB4continuumfinal.ms.tgz: Self-calibrated 2.1 mm continuum visibilities for GM Aur GMAurB6continuumfinal.ms.tgz: Self-calibrated 1.1 mm continuum visibilities for GM Aur GMAurB6_HCOp.ms.cvel.tgz: Self-calibrated HCO<sup>+ </sup>3-2 visibilities without continuum subtraction GMAurB6_HCOp.ms.contsub.cvel.tgz: Self-calibrated HCO<sup>+ </sup>3-2 visibilities with continuum subtraction <strong>Images: </strong> GMAurB6continuumfinal.image.fits: 1.1 mm continuum image of GM Aur GMAurB4continuumfinal.image.fits: 2.1 mm continuum image of GM Aur GMAur_HCOp_withcontinuum.image.fits: HCO<sup>+ </sup>3-2 image cube toward GM Aur without continuum subtraction GMAur_HCOp_continuumsubtracted.image.fits: HCO<sup>+ </sup>3-2 image cube toward GM Aur with continuum subtraction
DOI: 10.5281/zenodo.3628656
title: Data from "A multi-frequency ALMA characterization of substructures in the GM Aur protoplanetary disk"

description: Image cubes, self-calibrated visibilities, and self-calibration and imaging scripts for data associated with Huang et al., 2020, "A multi-frequency ALMA characterization of substructures in the GM Aur protoplanetary disk," The Astrophysical Journal, 891, 48, arXiv:2001.11040 The raw data are available on the ALMA archive under program IDs 2017.1.01151.S and 2018.1.01230.S (PI: Jane Huang). <strong>Scripts:</strong> reduction_utils.py: Set of helper functions for self-calibration scripts B4continuumreduction.py: Self-calibration and imaging script for Band 4 (2.1 mm) continuum (GMAurB4continuumfinal.image.fits) from GMAurB4continuum.final.ms.tgz B6continuumreduction.py: Self-calibration and imaging script for Band 6 (1.1 mm) continuum (GMAurB6continuumfinal.image.fits) from GMAurB6continuum.final.ms.tgz HCOp_imaging.py: Script producing GMAur_HCOp_continuumsubtracted.image.fits and GMAur_HCOp_withcontinuum.image.fits from GMAurB6_HCOp.ms.contsub.cvel and GMAurB6_HCOp.ms.cvel, respectively <strong>Measurement sets:</strong> GMAurB4continuumfinal.ms.tgz: Self-calibrated 2.1 mm continuum visibilities for GM Aur GMAurB6continuumfinal.ms.tgz: Self-calibrated 1.1 mm continuum visibilities for GM Aur GMAurB6_HCOp.ms.cvel.tgz: Self-calibrated HCO<sup>+ </sup>3-2 visibilities without continuum subtraction GMAurB6_HCOp.ms.contsub.cvel.tgz: Self-calibrated HCO<sup>+ </sup>3-2 visibilities with continuum subtraction <strong>Images: </strong> GMAurB6continuumfinal.image.fits: 1.1 mm continuum image of GM Aur GMAurB4continuumfinal.image.fits: 2.1 mm continuum image of GM Aur GMAur_HCOp_withcontinuum.image.fits: HCO<sup>+ </sup>3-2 image cube toward GM Aur without continuum subtraction GMAur_HCOp_continuumsubtracted.image.fits: HCO<sup>+ </sup>3-2 image cube toward GM Aur with continuum subtraction
DOI: 10.34740/kaggle/dsv/4604033
title: Steel Strength Data 2018
DOI: 10.6084/m9.figshare.21627023.v4
title: CHINA_FAGE_30m.7z

description: Young forest age mapping at fine spatial resolution is important for increasing the accuracy of estimating land-atmosphere carbon fluxes and guiding forest management practices. In recent decades, China has actively conducted afforestation and forest protection projects, thereby, laying the foundation for the realization of carbon neutrality. However, very few datasets of the ages of young forests for the whole of China at a fine spatial resolution. The overall accuracy (OA) of the 2020 young forest age (1–31 years) map of China was 90.28%. The produced forest age map provides a basic dataset for research on the forest carbon cycle and forest ecosystem services, and important guidance for government departments.
DOI: 10.15151/esrf-es-924498189
title: IBS BAG

description: The IBS BAG includes in this proposal IBS teams and external groups from iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2329 proposal and can be grouped in different topics as follows: host-pathogen interaction, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some teams are dedicated to serial crystallography and its developments, for which the ESRF-EBS has become the perfect tool.
DOI: 10.15151/esrf-es-925344130
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: Located at the Philipps-University-Marburg and the Max-Planck-Institute for terrestrial Microbiology in Marburg, Germany, the MarBAG employs X-ray crystallography to answer fundamental questions involving synthesis and assembly of macromolecular machines and cellular structures (e.g. CO2-fixation pathways, flagellar biosynthesis, CRISPR-Cas Systems, cell-wall-related processes). Our analysis of the structural basis of CO2 fixation and the synthesis of the green-house gas methane will help to engineer these processes as tools in climate control. Furthermore, we are interested in plant-pathogen interactions and the function of nucleotide derived signalling molecules in cellular stress physiology and organization. Currently, a 200 keV cryo-electron microscope is being installed at the UMR to complement our efforts to structurally characterize macromolecular complexes, which do not readily crystallize.