cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4323467
title: Boutiques-execution-c4387b

description: Boutiques execution data-set
DOI: 10.5281/zenodo.4323466
title: Boutiques-execution-c4387b

description: Boutiques execution data-set
DOI: 10.5281/zenodo.4323469
title: Boutiques-execution-251729

description: Boutiques execution data-set
DOI: 10.5281/zenodo.4323468
title: Boutiques-execution-251729

description: Boutiques execution data-set
DOI: 10.21258/1614151
title: Inventario forestale nazionale svizzero - Tabella n. 899270
DOI: 10.21258/1607571
title: Inventario forestale nazionale svizzero - Tabella n. 897962
DOI: 10.21258/1577704
title: Inventario forestale nazionale svizzero - Tabella n. 902199
DOI: 10.21258/1616375
title: Inventario forestale nazionale svizzero - Tabella n. 892972
DOI: 10.21258/1583586
title: Inventario forestale nazionale svizzero - Tabella n. 892037
DOI: 10.21258/1610991
title: Inventario forestale nazionale svizzero - Tabella n. 898349
DOI: 10.21258/1623801
title: Inventario forestale nazionale svizzero - Tabella n. 899279
DOI: 10.21258/1579484
title: Inventario forestale nazionale svizzero - Tabella n. 891854
DOI: 10.21258/1585273
title: Inventario forestale nazionale svizzero - Tabella n. 892064
DOI: 10.21258/1588927
title: Inventario forestale nazionale svizzero - Tabella n. 893055
DOI: 10.21258/1609553
title: Inventario forestale nazionale svizzero - Tabella n. 892908
DOI: 10.21258/1552035
title: Inventaire forestier national suisse - Tableau no 898176
DOI: 10.21258/1613724
title: Inventario forestale nazionale svizzero - Tabella n. 891776
DOI: 10.21258/1589133
title: Inventario forestale nazionale svizzero - Tabella n. 898950
DOI: 10.6084/m9.figshare.5849913
title: xxx

description: aaaaa
DOI: 10.6084/m9.figshare.5849913.v2
title: xxx

description: aaaaa
DOI: 10.6084/m9.figshare.5849913.v1
title: Supplementary information (Appendices) to: Onshore-offshore trends in the temporal resolution of the fossil record: insights from the Brazilian shelf and uppermost continental slope (2018). Geology (number G40114; submitted).

description: <b>Supplementary information - Appendices</b><br><b>Appendix DR1: </b><sup>14</sup>C-AAR data from individually analyzed <i>Nuculana</i> shells<br><br><b>Appendix DR2: </b>Best models and ages derived from the Bayesian calibration Here is included all data sets used in this study. These files are needing to produce the Tables and Figures of the manuscript. R scripts are provided in Appendix DR3<br><br><b>Appendix DR3:</b> R script used to analyze data and produce figures
DOI: 10.5519/qd.g9exe55i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2677 records)
DOI: 10.5281/zenodo.4323492
title: MOCABORS site simulations

description: Soil moisture plays an important role in predicting the fate of soil carbon accumulation in boreal forests, particularly in the face of climate change. Several key factors regulate soil carbon storage such as net primary production (NPP) and rate of decomposition but also several environmental conditions come into play in regulating carbon cycling. In this study, we test how different environmental factors affect the magnitude of soil carbon storage. We focus on two important environmental factors such as climate and soil texture.<br> Sites: Boreal needle leaf forest sites in Norway (Hurdal: 60.366N/11.066E, Tingvoll: 63.007N/8.02E, Loeten: 60.858N/11.435E)<br> Model: Community Land Model version 5 (CLM5)<br> Experiment 1: Precipitation is benchmarked on top of the GSWP3 forcings using observations<br> Experiment 2: Soil texture is manipulated using the range from observations in the region.
DOI: 10.5281/zenodo.4311801
title: MOCABORS site simulations

description: Soil moisture plays an important role in predicting the fate of soil carbon accumulation in boreal forests, particularly in the face of climate change. Several key factors regulate soil carbon storage such as net primary production (NPP) and rate of decomposition but also several environmental conditions come into play in regulating carbon cycling. In this study, we test how different environmental factors affect the magnitude of soil carbon storage. We focus on two important environmental factors such as climate and soil texture.<br> Sites: Boreal needle leaf forest sites in Norway (Hurdal: 60.366N/11.066E, Tingvoll: 63.007N/8.02E, Loeten: 60.858N/11.435E)<br> Model: Community Land Model version 5 (CLM5)<br> Experiment 1: Precipitation is benchmarked on top of the GSWP3 forcings using observations<br> Experiment 2: Soil texture is manipulated using the range from observations in the region.
DOI: 10.6084/m9.figshare.13382726
title: test link

description: test files through link instead of uploading to figshare.<br>
DOI: 10.6084/m9.figshare.13382726.v1
title: test link

description: test files through link instead of uploading to figshare.<br>
DOI: 10.6073/pasta/43f8d23bc6934b3d7eb705f5a312042e
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.21258/1566110
title: Inventaire forestier national suisse - Tableau no 891671
DOI: 10.25810/8196-e820.31
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1621864
title: Inventario forestale nazionale svizzero - Tabella n. 891706
DOI: 10.21258/1536584
title: Inventaire forestier national suisse - Tableau no 897323
DOI: 10.25810/8196-e820.32
title: United Kingdom Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1540312
title: Inventaire forestier national suisse - Tableau no 891885
DOI: 10.21258/1625285
title: Inventario forestale nazionale svizzero - Tabella n. 899082
DOI: 10.25810/47q1-ts57.2
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - October 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.3988974
title: Data and scripts for 'Potential and limitations of machine learning for modeling warm-rain cloud microphysical processes'

description: Data and scripts for "Potential and limitations of machine learning for modeling warm-rain cloud microphysical processes" by Axel Seifert and Stephan Rasp, J. Adv. Modeling Earth Systems, 12, 2020, https://doi.org/10.1029/2020MS002301
DOI: 10.5281/zenodo.3988973
title: Data and scripts for 'Potential and limitations of machine learning for modeling warm-rain cloud microphysical processes'

description: Data and scripts for "Potential and limitations of machine learning for modeling warm-rain cloud microphysical processes" by Axel Seifert and Stephan Rasp, J. Adv. Modeling Earth Systems, 12, 2020, https://doi.org/10.1029/2020MS002301
DOI: 10.21258/1565112
title: Inventaire forestier national suisse - Tableau no 893026
DOI: 10.6073/pasta/96b583d0d54441f1e8903463e67ba990
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.25810/47q1-ts57.3
title: Russian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - November 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/4333d7424a73d237763753601ac2ff5a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21258/1539150
title: Inventaire forestier national suisse - Tableau no 892837
DOI: 10.21258/1596817
title: Inventario forestale nazionale svizzero - Tabella n. 898848
DOI: 10.21258/1570972
title: Inventaire forestier national suisse - Tableau no 897093
DOI: 10.6084/m9.figshare.11709063
title: Spatial modelling of ecological indicator values in Switzerland

description: ============================================================<br>============================================================<br>============================================================<br><b><br></b><b>When using these datasets, please cite the following reference: </b><br><br>Descombes, P., Walthert, L., Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., ... & Zimmermann, N. E. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. <i>Ecography</i>, <i>43 </i>(10), 1448-1463.<br>============================================================<br>============================================================<br>============================================================<br><b><br></b><b>Datasets descriptions:<br></b><b><br></b>This dateset contains ecological indicator value (EIV) raster layers generated for Switzerland based on the methodology described in Descombes et al. (2020). The layers are provided as GeoTIFF files at 100 m spatial resolution and epsg::21781. <br><br>Additional predictors and EIV layers generated for Switzerland at 93 m spatial resolution (GeoTIFF) and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs") are available and described on Envidat:<br>Descombes, Patrice; Walthert, Lorenz; Baltensweiler, Andri; Meuli, Reto Giulio; Karger, Dirk; Ginzler, Christian; Zurell, Damaris; Zimmermann, Niklaus (2020). Spatial modelling of ecological indicator values. EnviDat. doi:10.16904/envidat.153. <i><br></i><br>
DOI: 10.6084/m9.figshare.11709063.v2
title: Spatial modelling of ecological indicator values in Switzerland

description: ============================================================<br>============================================================<br>============================================================<br><b><br></b><b>When using these datasets, please cite the following reference: </b><br><br>Descombes, P., Walthert, L., Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., ... & Zimmermann, N. E. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. <i>Ecography</i>, <i>43 </i>(10), 1448-1463.<br>============================================================<br>============================================================<br>============================================================<br><b><br></b><b>Datasets descriptions:<br></b><b><br></b>This dateset contains ecological indicator value (EIV) raster layers generated for Switzerland based on the methodology described in Descombes et al. (2020). The layers are provided as GeoTIFF files at 100 m spatial resolution and epsg::21781. <br><br>Additional predictors and EIV layers generated for Switzerland at 93 m spatial resolution (GeoTIFF) and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs") are available and described on Envidat:<br>Descombes, Patrice; Walthert, Lorenz; Baltensweiler, Andri; Meuli, Reto Giulio; Karger, Dirk; Ginzler, Christian; Zurell, Damaris; Zimmermann, Niklaus (2020). Spatial modelling of ecological indicator values. EnviDat. doi:10.16904/envidat.153. <i><br></i><br>
DOI: 10.6084/m9.figshare.11709063.v1
title: EIV maps

description: Maps of ecological indicator values (EIVs) in Switzerland at 100 m resolution, following EIVs described in Landolt et al. (2010). <br><br>Available for epsg21781 at 100m<br>
DOI: 10.21258/1543297
title: Inventaire forestier national suisse - Tableau no 891789
DOI: 10.25345/c54n56
title: MassIVE MSV000086599 - Quantitative proteomics identifies ML111 as a cell-cycle inhibitor
title: We used quantitative mass spectrometry to analyze the effect of ML111 on the whole proteome of SK-N-MC cells. Results: ML111 treatment results in the accumulation of APC/C substrates suggesting that ML111 disrupts the cell cycle at or before the mitotic spindle assembly checkpoint.
DOI: 10.6073/pasta/4d197d28c9143a873f2741351122503b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-10. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.21258/1539044
title: Inventaire forestier national suisse - Tableau no 897825
DOI: 10.6073/pasta/44eedddac92a904b93134181718a2a90
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-10. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/f8a13da95b336272c49b15e9c62379f5
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21258/1565747
title: Inventaire forestier national suisse - Tableau no 899451
DOI: 10.21258/1583979
title: Inventario forestale nazionale svizzero - Tabella n. 899010
DOI: 10.6073/pasta/3511aff983aa3cf4233bee503f61de34
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.25345/c50v2w
title: MassIVE MSV000086600 - Identification of proteolytic fragments of human hemoglobin
title: The uploaded data is related to the identification of the antibacterial/antiviral human peptide HBB 12-147 in hemoglobin digestion with Napsin-A
DOI: 10.21258/1622578
title: Inventario forestale nazionale svizzero - Tabella n. 892073
DOI: 10.21258/1611542
title: Inventario forestale nazionale svizzero - Tabella n. 897915
DOI: 10.25810/4c3b-b819.31
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - October 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.25810/4c3b-b819.32
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - November 2020

description:         The Media and Climate Change Observatory Data monitors 120 sources (across newspapers, radio and TV) in 54 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.21258/1531442
title: Inventaire forestier national suisse - Tableau no 897130
DOI: 10.21258/1599903
title: Inventario forestale nazionale svizzero - Tabella n. 891760
DOI: 10.21258/1570232
title: Inventaire forestier national suisse - Tableau no 899656
DOI: 10.21258/1624895
title: Inventario forestale nazionale svizzero - Tabella n. 898920
DOI: 10.21258/1560552
title: Inventaire forestier national suisse - Tableau no 892007
DOI: 10.6073/pasta/db28f7d797490d6d195581bced6159d6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-11 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21258/1571251
title: Inventaire forestier national suisse - Tableau no 892925