cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5736407
title: Explainable Clustering Applied to the Definition of Terrestrial Biomes - data

description: Data used for analysis in "Explainable Clustering Applied to the Definition of Terrestrial Biome" - using Decision Tree and Clustering techniques to identify biomes. Land surface properties: <strong>TreeCover </strong>- Vegetation Continuous Fields (VCF) collection 6 fractional tree cover from DiMiceli et al. 2015, regridded as per Kelley et al. 2019 <strong>NonTreeCover </strong>- VCF fractional herb cover <strong>Urban </strong>cover from the History Database of the Global Environment, Version 3.1 (HYDE) Klein Goldewijk et al. 2011 <strong>Crop </strong>cover (from HYDE) <strong>Pasture </strong>Cover (from HYDE) <strong>PopDen </strong>(population density from HYDE) Climate: <strong>MAP_CRU </strong>- Mean annual precipitation from version 4.01 of the Climatic Research Unit Time Series high resolution gridded dataset (CRU TS v4.01) (Harris & Jones 2017) <strong>MAT </strong>- Mean annual temperature from CRU) <strong>MADD_CRU </strong>- Mean annual dry days from CRU - i.e seasonality of rainfall <strong>MTWM </strong>- Mean Maximum Temperature of the warmest month from CRU <strong>MTCM </strong>- Mean Minumum Temperature of the coldest month from CRU <strong>SW1 </strong>- direct downwards SW simulated using the SLASH model using CRU cload cover <strong>SW2 </strong>- diffuse downwards SW simulated using the SLASH model using CRU cload cover <strong>BurntArea_GFED_four_s </strong>- Burnt area from Global Fire Emissions Database, Version 4.1 (GFEDv4.1) (Van Der Werf et al. 2017) <strong>MaxWind</strong><em><strong> </strong></em>(Mean Max Windspeed from CRU-(National Centers for Environmental Prediction (Harris 2019) Dimiceli, C., Carroll, M., Sohlberg, R., Kim, D. H.,Kelly, M., and Townshend, J. R. G. (2015). Mod44bmodis/terra vegetation continuous fields yearly l3global 250m sin grid v006 (v006). Harris, I. (2019). CRU JRA v1. 1: A forcings dataset ofgridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data, January1901–December 2017, University of East Anglia Climatic Research Unit, Centre for Environmental DataAnalysis. Harris, I. and Jones, P. (2017). CRU TS4. 01: Climatic Re-search Unit (CRU) Time-Series (TS) version 4.01 ofhigh-resolution gridded data of month-by-month vari-ation in climate (Jan. 1901–Dec. 2016).Centre forEnvironmental Data Analysis, 25. Kelley, D. I., Bistinas, I., Whitley, R., Burton, C., Marthews,T. R., and Dong, N. (2019). How contemporary biocli-matic and human controls change global fire regimes Klein Goldewijk, K., Beusen, A., Van Drecht, G., and DeVos, M. (2011). The HYDE 3.1 spatially explicitdatabase of human-induced global land-use changeover the past 12,000 years.Global Ecology and Bio-geography, 20(1):73–86. Van Der Werf, G. R., Randerson, J. T., Giglio, L.,Van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M.,Van Marle, M. J., Morton, D. C., Collatz, G. J., et al.(2017). Global fire emissions estimates during 1997–2016.Earth System Science Data, 9(2):697–720.
DOI: 10.5281/zenodo.5736406
title: Explainable Clustering Applied to the Definition of Terrestrial Biomes - data

description: Data used for analysis in "Explainable Clustering Applied to the Definition of Terrestrial Biome" - using Decision Tree and Clustering techniques to identify biomes. Land surface properties: <strong>TreeCover </strong>- Vegetation Continuous Fields (VCF) collection 6 fractional tree cover from DiMiceli et al. 2015, regridded as per Kelley et al. 2019 <strong>NonTreeCover </strong>- VCF fractional herb cover <strong>Urban </strong>cover from the History Database of the Global Environment, Version 3.1 (HYDE) Klein Goldewijk et al. 2011 <strong>Crop </strong>cover (from HYDE) <strong>Pasture </strong>Cover (from HYDE) <strong>PopDen </strong>(population density from HYDE) Climate: <strong>MAP_CRU </strong>- Mean annual precipitation from version 4.01 of the Climatic Research Unit Time Series high resolution gridded dataset (CRU TS v4.01) (Harris & Jones 2017) <strong>MAT </strong>- Mean annual temperature from CRU) <strong>MADD_CRU </strong>- Mean annual dry days from CRU - i.e seasonality of rainfall <strong>MTWM </strong>- Mean Maximum Temperature of the warmest month from CRU <strong>MTCM </strong>- Mean Minumum Temperature of the coldest month from CRU <strong>SW1 </strong>- direct downwards SW simulated using the SLASH model using CRU cload cover <strong>SW2 </strong>- diffuse downwards SW simulated using the SLASH model using CRU cload cover <strong>BurntArea_GFED_four_s </strong>- Burnt area from Global Fire Emissions Database, Version 4.1 (GFEDv4.1) (Van Der Werf et al. 2017) <strong>MaxWind</strong><em><strong> </strong></em>(Mean Max Windspeed from CRU-(National Centers for Environmental Prediction (Harris 2019) Dimiceli, C., Carroll, M., Sohlberg, R., Kim, D. H.,Kelly, M., and Townshend, J. R. G. (2015). Mod44bmodis/terra vegetation continuous fields yearly l3global 250m sin grid v006 (v006). Harris, I. (2019). CRU JRA v1. 1: A forcings dataset ofgridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data, January1901–December 2017, University of East Anglia Climatic Research Unit, Centre for Environmental DataAnalysis. Harris, I. and Jones, P. (2017). CRU TS4. 01: Climatic Re-search Unit (CRU) Time-Series (TS) version 4.01 ofhigh-resolution gridded data of month-by-month vari-ation in climate (Jan. 1901–Dec. 2016).Centre forEnvironmental Data Analysis, 25. Kelley, D. I., Bistinas, I., Whitley, R., Burton, C., Marthews,T. R., and Dong, N. (2019). How contemporary biocli-matic and human controls change global fire regimes Klein Goldewijk, K., Beusen, A., Van Drecht, G., and DeVos, M. (2011). The HYDE 3.1 spatially explicitdatabase of human-induced global land-use changeover the past 12,000 years.Global Ecology and Bio-geography, 20(1):73–86. Van Der Werf, G. R., Randerson, J. T., Giglio, L.,Van Leeuwen, T. T., Chen, Y., Rogers, B. M., Mu, M.,Van Marle, M. J., Morton, D. C., Collatz, G. J., et al.(2017). Global fire emissions estimates during 1997–2016.Earth System Science Data, 9(2):697–720.
DOI: 10.5281/zenodo.5720513
title: Giant Quartz Veins of the Pyrenees Database - Full Dataset (ESRI Shapefile)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.5281/zenodo.5720512
title: Giant Quartz Veins of the Pyrenees Database - Full Dataset (ESRI Shapefile)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.20351/29sg20110718
title: TRANSIT-3 Cruise, RV Sarmiento de Gamboa

description: TRANSIT-3 Cruise (29SG20110718) carried out on the Research Vessel Sarmiento de Gamboa in 2011.
DOI: 10.5281/zenodo.5720630
title: Giant Quartz Veins of the Pyrenees Database - Vein Width Dataset (MSEcxel Spreadsheet)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.5281/zenodo.5720629
title: Giant Quartz Veins of the Pyrenees Database - Vein Width Dataset (MSEcxel Spreadsheet)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.15151/esrf-es-616950224
title: Investigation of the magnetic structure of MnCoGe2/3As1/3 by XMCD spectroscopy

description: We have discovered a new quaternary intermetallic phase MnCoGe1/3As2/3 (hereafter denoted as MCGA), “hidden” between ternary compositions MnCoGe (MCG) and MnCoAs (MCA). Remarkably, MCGA reveals a different structure type in comparison to MCG and MCA and drastically different magnetic properties relative to the ternary parent phases. We propose to use X-ray magnetic circular dichroism (XMCD) technique to complement the results of our recent neutron diffraction studies to elucidate conclusively the magnetic structure of MCGA, which exhibits at least three distinct magnetically ordered regimes as a function of temperature. The aim of this project is to measure XMCD spectra at the K-edges of Mn and Co to determine the values and orientation of the magnetic moments and to establish if the ordering is ferromagnetic (FM) or ferrimagnetic (FiM) in nature. We will also perform XMCD at the K-edges of Ge and As to elucidate the role of these elements in the magnetic exchange interactions.
DOI: 10.5281/zenodo.5720604
title: Giant Quartz Veins of the Pyrenees Database - Full Dataset (MSExcel Spreadsheet)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.5281/zenodo.5720603
title: Giant Quartz Veins of the Pyrenees Database - Full Dataset (MSExcel Spreadsheet)

description: The <strong>GIVEPY Database</strong> (GIant quartz VEins of the PYrenees) is an interactive tool that incorporates information of the geometry, distribution, statistics, and host rock types of 741 giant quartz veins that crop out in the fold and thrust belt of the Pyrenees. The GIVEPY Database follows the <strong>FAIR </strong>principles of data management (Findable, Accessible, Interoperable and Reusable) and is available at: https://givepy.info/. The Full Dataset consists of a ESRI Shapefile where the giant quartz veins of the Pyrenees are mapped following polygon superposition rules. The <em>.shp</em> file can be opened in any Geographic Information System (GIS) environment. We recommend the use of the <strong>QGIS</strong> software since it is open access and continuously updated. The original CRS is: EPSG: 32631 / WGS1984 - UTM Z31N Do not hesitate to contact Eloi González-Esvertit if you have any questions: e.gonzalez-esvertit@ub.edu
description: The abbreviations of the attribute names included in the GIVEPY Database are available at: https://givepy.info/
DOI: 10.17030/uclan.data.00000321
title: SPSS dataset and Programs to Accompany Submission entitled: Changing-state Irrelevant Speech Disrupts Visual-Verbal but not Visual-Spatial Serial Recall
DOI: 10.15151/esrf-es-625404661
title: Low-energy excitations in CeRh2As2

description: RIXS study of low-energy excitations in CeRh2As2
DOI: 10.5281/zenodo.5734145
title: OSS Test Data

description: CI and Test data for OSS FRTM
DOI: 10.5281/zenodo.5734144
title: OSS Test Data

description: CI and Test data for OSS FRTM
DOI: 10.25934/pr00006053.1
title: Available IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study Evaluating the Efficacy and Safety of Atezolizumab (MPDL3280A, Anti-PD-L1 Antibody) in Combination With Carboplatin+Paclitaxel or Atezolizumab in Combination With Carboplatin+Nab-Paclitaxel Versus Carboplatin+Nab-Paclitaxel in Chemotherapy-Naive Patients With Stage IV Squamous Non-Small Cell Lung Cancer'

description: This randomized, open-label study will evaluate the safety and efficacy of atezolizumab (MPDL3280A) in combination with carboplatin + paclitaxel or carboplatin + nab-paclitaxel compared with treatment with carboplatin + nab-paclitaxel in chemotherapy-naive participants with Stage IV squamous NSCLC.
DOI: 10.25934/pr00006052.1
title: Available IPD datapackage for study 'A Phase III Multicenter, Randomized, Open-Label Study Evaluating the Efficacy and Safety of Atezolizumab (MPDL3280A, Anti-PD-L1 Antibody) in Combination With Carboplatin+Nab-Paclitaxel for Chemotherapy-Naive Patients With Stage IV Non-Squamous Non-Small Cell Lung Cancer'

description: This randomized Phase III, multicenter, open-label study designed to evaluate the safety and efficacy of atezolizumab (an engineered anti-programmed death-ligand 1 [PD-L1] antibody) in combination with carboplatin+nab-paclitaxel compared with treatment with carboplatin+nab-paclitaxel in chemotherapy-naive participants with Stage IV non-squamous NSCLC. Participants will be randomized in a 2:1 ratio to Arm A (Atezolizumab+Nab-Paclitaxel+Carboplatin) or Arm B (Nab-Paclitaxel+Carboplatin).
DOI: 10.3886/e120914v4-102820
title: State-by-State Spending on Kids Dataset

description: This dataset provides a comprehensive accounting of public spending on children from 1997 through 2016. It draws on the US Census Bureau’s Annual Survey of State and Local Government Finances, as well as several federal and other noncensus sources, to capture state-by-state spending on education, income security, health, and other areas. The data were assembled by Julia Isaacs, Eleanor Lauderback, and Erica Greenberg of the Urban Institute, working in collaboration with Margot Jackson of Brown University for her study of public spending on children and class gaps in child development, with support from the Russell Sage Foundation and the National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the foundation or National Institutes of Health.
description: All public spending on kids in the US. Smallest Geographic Unit: State
description: Please see the data dictionary for source and imputation information. Data are limited by the categories included in source datasets and by availability in some states and years.
DOI: 10.6084/m9.figshare.17081231
title: State of Open Data Survey 2021 additional resources

description: Cleaned data and questionnaire for the 2021 State of Open Data survey developed between Springer Nature and Digital Science. The annual survey looks to understand attitudes and behaviours of research authors to the sharing of data and usage of that which is openly available.
DOI: 10.25934/pr00005791.2
title: Available IPD datapackage for study 'A Phase II, Multicenter, Single-arm Study of MPDL3280A in Patients With PD-L1-Positive Locally Advanced or Metastatic Non-small Cell Lung Cancer'

description: This multicenter, single-arm study will evaluate the efficacy and safety of atezolizumab (MPDL3280A) in participants with PD-L1-positive locally advanced or metastatic NSCLC. Participants will receive an intravenous (IV) dose of 1200 milligrams (mg) atezolizumab (MPDL3280A) on Day 1 of 21-day cycles until disease progression. Eligible participants will be categorized in to three groups as follows:   1. Participants with no prior chemotherapy for advanced disease;   2. Participants who progress during or following a prior-platinum based chemotherapy regimen for advanced disease (2L+participants);   3. Participants who are 2L+ and previously treated for brain metastases.
DOI: 10.5281/zenodo.5741271
title: msd-errors - Data for scaling figures

description: Data for a figure that shows the scaling of uncertainty as a function of simulation length and number of atoms and step size, for both true and anitcorrelated random walks. This compares the kinisi approach (on just 32 unique walks) with the numerical values from (1024 unique walks). <br><br>Created using showyourwork from this GitHub repo.
DOI: 10.6084/m9.figshare.17068328
title: Database

description: Data for public opinion (salience and preference) and asylum (applications, decisions, positive decisions, asylum recognition rates) for Germany and UK, plus appeal success rates for UK.
DOI: 10.6084/m9.figshare.17068328.v2
title: Database

description: Data for public opinion (salience and preference) and asylum (applications, decisions, positive decisions, asylum recognition rates) for Germany and UK, plus appeal success rates for UK.
DOI: 10.3886/e120914v4-102821
title: State-by-State Spending on Kids Dataset

description: This dataset provides a comprehensive accounting of public spending on children from 1997 through 2016. It draws on the US Census Bureau’s Annual Survey of State and Local Government Finances, as well as several federal and other noncensus sources, to capture state-by-state spending on education, income security, health, and other areas. The data were assembled by Julia Isaacs, Eleanor Lauderback, and Erica Greenberg of the Urban Institute, working in collaboration with Margot Jackson of Brown University for her study of public spending on children and class gaps in child development, with support from the Russell Sage Foundation and the National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the foundation or National Institutes of Health.
description: All public spending on kids in the US. Smallest Geographic Unit: State
description: Please see the data dictionary for source and imputation information. Data are limited by the categories included in source datasets and by availability in some states and years.
DOI: 10.25934/pr00006051.1
title: Available IPD datapackage for study 'A Phase III, Open-Label, Randomized Study of Atezolizumab (MPDL3280A, Anti-PD-L1 Antibody) in Combination With Carboplatin+Paclitaxel With or Without Bevacizumab Compared With Carboplatin + Paclitaxel + Bevacizumab in Chemotherapy-Naïve Patients With Stage IV Non-Squamous Non-Small Cell Lung Cancer'

description: This randomized, open-label study will evaluate the safety and efficacy of atezolizumab (an engineered anti-programmed death-ligand 1 [PD-L1] antibody) in combination with carboplatin+paclitaxel with or without bevacizumab compared with treatment with carboplatin+paclitaxel+bevacizumab in chemotherapy-naïve participants with Stage IV non-squamous NSCLC. Participants will be randomized in a 1:1:1 ratio to Arm A (Atezolizumab+Carboplatin+Paclitaxel), Arm B (Atezolizumab+Carboplatin+Paclitaxel+Bevacizumab), or Arm C (Carboplatin+Paclitaxel+Bevacizumab).
DOI: 10.5281/zenodo.5741343
title: CD200 CTLs is essential for immunotherapy

description: scATAC-seq data of three mouse samples with CD8-naive, CD200-pos CD8 , and CD200-neg CD8.
DOI: 10.5281/zenodo.5741342
title: CD200 CTLs is essential for immunotherapy

description: scATAC-seq data of three mouse samples with CD8-naive, CD200-pos CD8 , and CD200-neg CD8.
DOI: 10.6084/m9.figshare.17099027
title: taz_id_outcome_covariates.xlsx

description: vibrancy indicator and covariates.
DOI: 10.6084/m9.figshare.17099027.v1
title: taz_id_outcome_covariates.xlsx

description: vibrancy indicator and covariates.
DOI: 10.25934/pr00005796.2
title: Available IPD datapackage for study 'A Phase II, Multicenter, Single-Arm Study OF Atezolizumab In Patients With PD-L1-Positive Locally Advanced Or Metastatic Non-Small Cell Lung Cancer'

description: This multicenter, single-arm study will evaluate the efficacy and safety of Atezolizumab in participants with PD-L1-positive locally advanced or metastatic non-small cell lung cancer (NSCLC). Participants will receive Atezolizumab 1200 milligrams (mg) intravenously every 3 weeks as long as participants are experiencing clinical benefit as assessed by the investigator, that is , in the absence of unacceptable toxicity or symptomatic deterioration attributed to disease progression.