cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4112694
title: Model results for Economic Shock In a Climate Scenario

description: Files include simulated surface temperature, aerosol optical depth and sea level pressure in the baseline experiment and the three sensitivity simulations, atmospheric carbon dioxide concentration under different RCP scenarios from 2000 to 2100 (from the prescribed CO2 concentration of different scenarios in CESM1.2), altered aerosols and aerosol-precursors emission inventory and altered carbon dioxide concentration (ghg_rcp85_1765-2500_c100203_phase1.nc and ghg_rcp85_1765-2500_c100203_phase2.nc, phase1 and phase2 mean that the data is for 2020-2021 and 2022-2050, respectively).
DOI: 10.5281/zenodo.4112693
title: Model results for Economic Shock In a Climate Scenario

description: Files include simulated surface temperature, aerosol optical depth and sea level pressure in the baseline experiment and the three sensitivity simulations, atmospheric carbon dioxide concentration under different RCP scenarios from 2000 to 2100 (from the prescribed CO2 concentration of different scenarios in CESM1.2), altered aerosols and aerosol-precursors emission inventory and altered carbon dioxide concentration (ghg_rcp85_1765-2500_c100203_phase1.nc and ghg_rcp85_1765-2500_c100203_phase2.nc, phase1 and phase2 mean that the data is for 2020-2021 and 2022-2050, respectively).
DOI: 10.5063/2v2dh4
title: Do the more flexible individuals rely more on causal cognition? Observation versus intervention in causal inference in great-tailed grackles

description: Behavioral flexibility, the ability to change behavior when circumstances change based on learning from previous experience, is thought to play an important role in a species’ ability to successfully adapt to new environments and expand its geographic range. It is alternatively or additionally possible that causal cognition, the ability to understand relationships beyond their statistical covariations, could play a significant role in rapid range expansions via the ability to learn faster: causal cognition could lead to making better predictions about outcomes through exerting more control over events. We aim to determine whether great-tailed grackles (Quiscalus mexicanus), a species that is rapidly expanding its geographic range, use causal inference and whether this ability relates to their behavioral flexibility (flexibility measured in these individuals by Logan et al. (2019): reversal learning of a color discrimination and solution switching on a puzzle box). Causal cognition was measured using a touchscreen where individuals learned about the relationships between a star, a tone, a clicking noise, and food. They were then tested on their expectations about which of these causes the food to become available. We found that eight grackles showed no evidence of making causal inferences when given the opportunity to intervene on observed events using a touchscreen apparatus, and that performance on the causal cognition task did not correlate with behavioral flexibility measures. This could indicate that our test was inadequate to assess causal cognition. Because of this, we are unable to speculate about the potential role of causal cognition in a species that is rapidly expanding its geographic range. We suggest further exploration of this hypothesis using larger sample sizes and multiple test paradigms.
DOI: 10.6084/m9.figshare.13139906.v1
title: Supporting data for Tradeoff of CO2 and CH4 emissions from global peatlands under water-table drawdown

description: data_revision1.csv collects flux measurements from water table manipulation experiments listed in Reference.doc. site_chara_filled_revision1.csv collects site characteristics, soil, climate, management and topographic information. data_in_shape_permu_revision1.r is the script that combines previous two csv datasets and reorganize it into high-low water table pair for each flux. data_in_shape_permu_revision1.r generate files XXXX_ final_data_revision1.csv that are used in analysing and plotting. pred_nee_future_map_2020.py and pred_ch4_future_map_2020_long.py generate an ensemble gridded global prediction of future CO<sub>2</sub> and CH<sub>4</sub> in response to water table drawdown through machine learning models (random forest) trained by this collected water table manipulation experimental datasets. averagemap_uncertainty_nee.py and averagemap_uncertainty_ch4_long.py generate the mean and standard deviation from previous ensemble predictions. Scripts in Figure are used to generate figures in the main text and the supplementary information with FigureS referring to figures in supplementary information. delta_nee_wt_mean_std.nc and delta_ch4_long_wt_mean_std.nc are means and standard deviations of future CO<sub>2</sub> and CH<sub>4 </sub>emissions in response to water table drawdown across the globe with RCP8.5, in unit of mg CO<sub>2</sub>-eq m<sup>-2</sup> h<sup>-1</sup>. We assume CH<sub>4</sub> has a global warming potential that is 25 times CO<sub>2</sub> over a 100-year time horizon. Note for site_chara_filled_revision1.csv WT: &gt;0 below soil surface; &lt;0 above soil surface Flux: positive sign = release gas to the atmosphere Manipulation length: s: within 1 year; m, 1-10 years; l, &gt;10 years Arctic: North of 66.5N; Boreal, 50-66.5; Temperate, 30-50; tropical, -30 – 30 CH<sub>4</sub>, unit, µg m<sup>-2</sup>h<sup>-1</sup> CO<sub>2</sub>, unit, mg m<sup>-2</sup>h<sup>-1</sup>
DOI: 10.6084/m9.figshare.13704559.v5
title: Supplemental materials

description: Supplemental tables and figures
DOI: 10.5281/zenodo.4568100
title: Recording of Tianwen-1 in Mars orbit with Allen Telescope Array

description: This dataset contains a recording of X-band telemetry signals from the Chinese Mars mission Tianwen-1 done on 2021-02-13, after the spacecraft had entered Mars orbit. The recording was done at Allen Telescope Array using antenna 2b in dual XY (linear) polarization. The hardware configuration was as follows: antenna 2b was connected to RFCB LO d, which was tuned to a frequency of 8430.54 MHz and used an output IF of 512 MHz. A USRP N320 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 480 ksps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. After recording, the data was converted to SigMF format.
DOI: 10.5281/zenodo.4568099
title: Recording of Tianwen-1 in Mars orbit with Allen Telescope Array

description: This dataset contains a recording of X-band telemetry signals from the Chinese Mars mission Tianwen-1 done on 2021-02-13, after the spacecraft had entered Mars orbit. The recording was done at Allen Telescope Array using antenna 2b in dual XY (linear) polarization. The hardware configuration was as follows: antenna 2b was connected to RFCB LO d, which was tuned to a frequency of 8430.54 MHz and used an output IF of 512 MHz. A USRP N320 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 480 ksps and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. After recording, the data was converted to SigMF format.
DOI: 10.5519/qd.nrx4v2dp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (21 records)
DOI: 10.5281/zenodo.4568175
title: Altered sense of agency in Gilles de la Tourette syndrome: behavioural, clinical and functional magnetic resonance imaging findings.

description: Current neurocognitive models of motor control postulate that accurate action monitoring is crucial for a normal experience of agency—the ability to attribute the authorship of our actions and their consequences to ourselves. Recent studies demonstrated that action monitoring is impaired in Gilles de la Tourette syndrome, a movement disorder characterized by motor and vocal tics. It follows that Tourette syndrome patients may suffer from a perturbed sense of agency, the hypothesis tested in this study. To this end, we recruited 25 Tourette syndrome patients and 25 matched healthy controls in a case-control behavioural and functional magnetic resonance imaging study. As an implicit index of the sense of agency, we measured the intentional binding phenomenon, i.e., the perceived temporal compression between voluntary movements and their external consequences. We found evidence of an impaired sense of agency in Tourette syndrome patients who, as a group, did not show a significant intentional binding. The more reduced was the individual intentional binding, the more severe were the motor symptoms. Specific differences between the two groups were also observed in terms of brain activation patterns. In the healthy controls group, the magnitude of the intentional binding was associated with the activity of a premotor–parietal–cerebellar network. This relationship was not present in the Tourette syndrome group, suggesting an altered activation of the agency brain network for self-generated acts. We conclude that the less accurate action monitoring described in Tourette syndrome also involves the assessment of the consequences of actions in the outside world. We discuss that this may lead to difficulties in distinguishing external consequences produced by their own actions from the ones caused by others in Tourette syndrome patients. Here we upload the behavioral data of the paper.
DOI: 10.5281/zenodo.4568174
title: Altered sense of agency in Gilles de la Tourette syndrome: behavioural, clinical and functional magnetic resonance imaging findings.

description: Current neurocognitive models of motor control postulate that accurate action monitoring is crucial for a normal experience of agency—the ability to attribute the authorship of our actions and their consequences to ourselves. Recent studies demonstrated that action monitoring is impaired in Gilles de la Tourette syndrome, a movement disorder characterized by motor and vocal tics. It follows that Tourette syndrome patients may suffer from a perturbed sense of agency, the hypothesis tested in this study. To this end, we recruited 25 Tourette syndrome patients and 25 matched healthy controls in a case-control behavioural and functional magnetic resonance imaging study. As an implicit index of the sense of agency, we measured the intentional binding phenomenon, i.e., the perceived temporal compression between voluntary movements and their external consequences. We found evidence of an impaired sense of agency in Tourette syndrome patients who, as a group, did not show a significant intentional binding. The more reduced was the individual intentional binding, the more severe were the motor symptoms. Specific differences between the two groups were also observed in terms of brain activation patterns. In the healthy controls group, the magnitude of the intentional binding was associated with the activity of a premotor–parietal–cerebellar network. This relationship was not present in the Tourette syndrome group, suggesting an altered activation of the agency brain network for self-generated acts. We conclude that the less accurate action monitoring described in Tourette syndrome also involves the assessment of the consequences of actions in the outside world. We discuss that this may lead to difficulties in distinguishing external consequences produced by their own actions from the ones caused by others in Tourette syndrome patients. Here we upload the behavioral data of the paper.
DOI: 10.25646/8081
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.13704559
title: Supplemental materials

description: Supplemental tables and figures
DOI: 10.6084/m9.figshare.13704559.v6
title: Supplemental materials

description: Supplemental tables and figures
DOI: 10.6084/m9.figshare.12839570
title: Dataset for the calculations of MSTM and DDSCAT

description: Dataset for the manuscript "Effects of black carbon morphology on the brown carbon absorption estimation: from numerical aspects " by Luo et al.
DOI: 10.6084/m9.figshare.12839570.v2
title: Dataset for the calculations of MSTM and DDSCAT

description: Dataset for the manuscript "Effects of black carbon morphology on the brown carbon absorption estimation: from numerical aspects " by Luo et al.
DOI: 10.5281/zenodo.4568215
title: Tax Regulation on Blockchain and Cryptocurrency: The Implications for Open Innovation (Citation Report and WoS Dataset)

description: Tax Regulation on Blockchain and Cryptocurrency: The Implications for Open Innovation (Citation Report and WoS Dataset)
DOI: 10.6084/m9.figshare.14130134
title: The frequency of 10 potential functional genes in high and low resource environment of each site

description: The frequency of 10 potential functional genes in high and low resource environment of each site
DOI: 10.6084/m9.figshare.14130134.v1
title: The frequency of 10 potential functional genes in high and low resource environment of each site

description: The frequency of 10 potential functional genes in high and low resource environment of each site
DOI: 10.5281/zenodo.4568249
title: Archive of aggregate data on work and parenthood

description: These are aggregate files of labor force participation for mothers, fathers, and women not living with own children. Read ReadMe.txt file first for definitions and codes. Generated using the Current Population Survey monthly files from ipums.org. These files are meant to encourage discussion and analysis of labor force participation of mothers in comparison to fathers and women without own children in their home.
DOI: 10.22008/fk2/aa6mtb/stylrk
title: land_runoff.tar

description: Land runoff [k=1.0]
DOI: 10.22008/fk2/aa6mtb/em3m3y
title: ice_runoff.tar

description: Ice runoff [k=1.0]
DOI: 10.22008/fk2/aa6mtb/d6rmtk
title: RACMO_1988.nc

description: RACMO_1988.nc
DOI: 10.22008/fk2/aa6mtb/f3rwd3
title: MAR_2011.nc

description: MAR_2011.nc
DOI: 10.22008/fk2/aa6mtb/sc2av3
title: MAR_1997.nc

description: MAR_1997.nc
DOI: 10.22008/fk2/aa6mtb/6rzx66
title: RACMO_1981.nc

description: RACMO_1981.nc
DOI: 10.22008/fk2/aa6mtb/2ysmaa
title: RACMO_1983.nc

description: RACMO_1983.nc
DOI: 10.22008/fk2/aa6mtb/9oczir
title: MAR_2006.nc

description: MAR_2006.nc
DOI: 10.22008/fk2/aa6mtb/fyamfi
title: RACMO_1979.nc

description: RACMO_1979.nc
DOI: 10.22008/fk2/aa6mtb/xyy6uc
title: RACMO_2010.nc

description: RACMO_2010.nc
DOI: 10.22008/fk2/aa6mtb/mpgmrc
title: RACMO_1982.nc

description: RACMO_1982.nc
DOI: 10.22008/fk2/aa6mtb/qbb6ke
title: MAR_2005.nc

description: MAR_2005.nc
DOI: 10.22008/fk2/aa6mtb/mlrz82
title: MAR_1982.nc

description: MAR_1982.nc
DOI: 10.22008/fk2/aa6mtb/qsieb0
title: MAR_2015.nc

description: MAR_2015.nc
DOI: 10.22008/fk2/aa6mtb/ysznrj
title: MAR_2018.nc

description: MAR_2018.nc
DOI: 10.22008/fk2/aa6mtb/hzo5pe
title: MAR_1992.nc

description: MAR_1992.nc
DOI: 10.22008/fk2/aa6mtb/ujifzy
title: RACMO_1990.nc

description: RACMO_1990.nc
DOI: 10.22008/fk2/aa6mtb/tvchrz
title: RACMO_1967.nc

description: RACMO_1967.nc
DOI: 10.22008/fk2/aa6mtb/fwwabf
title: RACMO_1994.nc

description: RACMO_1994.nc
DOI: 10.22008/fk2/aa6mtb/mpoinh
title: RACMO_2012.nc

description: RACMO_2012.nc
DOI: 10.22008/fk2/aa6mtb/owkz2k
title: RACMO_2017.nc

description: RACMO_2017.nc
DOI: 10.22008/fk2/aa6mtb/b2rbrn
title: RACMO_1993.nc

description: RACMO_1993.nc
DOI: 10.22008/fk2/aa6mtb/omdxsu
title: RACMO_2016.nc

description: RACMO_2016.nc
DOI: 10.22008/fk2/aa6mtb/t9yuhy
title: MAR_1987.nc

description: MAR_1987.nc
DOI: 10.22008/fk2/aa6mtb/hjkwr9
title: RACMO_1972.nc

description: RACMO_1972.nc
DOI: 10.22008/fk2/aa6mtb/k4ib0g
title: RACMO_1997.nc

description: RACMO_1997.nc
DOI: 10.22008/fk2/aa6mtb/biho3a
title: RACMO_1961.nc

description: RACMO_1961.nc
DOI: 10.22008/fk2/aa6mtb/xcaaqv
title: RACMO_2001.nc

description: RACMO_2001.nc
DOI: 10.22008/fk2/aa6mtb/ivev6y
title: RACMO_2015.nc

description: RACMO_2015.nc
DOI: 10.22008/fk2/aa6mtb/srttk4
title: RACMO_1975.nc

description: RACMO_1975.nc
DOI: 10.22008/fk2/aa6mtb/rfevml
title: MAR_1983.nc

description: MAR_1983.nc
DOI: 10.22008/fk2/aa6mtb/7wvb9y
title: RACMO_1973.nc

description: RACMO_1973.nc
DOI: 10.22008/fk2/aa6mtb/bxvsxg
title: RACMO_1992.nc

description: RACMO_1992.nc
DOI: 10.22008/fk2/aa6mtb/ybc5fb
title: RACMO_1963.nc

description: RACMO_1963.nc
DOI: 10.22008/fk2/aa6mtb/quq6nd
title: RACMO_2006.nc

description: RACMO_2006.nc
DOI: 10.22008/fk2/aa6mtb/eiikey
title: RACMO_1971.nc

description: RACMO_1971.nc
DOI: 10.22008/fk2/aa6mtb/p1i4yw
title: MAR_1979.nc

description: MAR_1979.nc
DOI: 10.22008/fk2/aa6mtb/ddjabc
title: MAR_2003.nc

description: MAR_2003.nc
DOI: 10.22008/fk2/aa6mtb/tasvur
title: MAR_1996.nc

description: MAR_1996.nc
DOI: 10.22008/fk2/aa6mtb/u3ockt
title: MAR_2009.nc

description: MAR_2009.nc
DOI: 10.22008/fk2/aa6mtb/lvdz6f
title: MAR_1998.nc

description: MAR_1998.nc
DOI: 10.22008/fk2/aa6mtb/dat2xj
title: MAR_1993.nc

description: MAR_1993.nc
DOI: 10.22008/fk2/aa6mtb/ilmwdt
title: MAR_2001.nc

description: MAR_2001.nc
DOI: 10.22008/fk2/aa6mtb/odl4xl
title: MAR_1981.nc

description: MAR_1981.nc
DOI: 10.22008/fk2/aa6mtb/oymjlh
title: MAR_1989.nc

description: MAR_1989.nc
DOI: 10.22008/fk2/aa6mtb/bxdivs
title: MAR_2013.nc

description: MAR_2013.nc
DOI: 10.22008/fk2/aa6mtb/1sunii
title: RACMO_1999.nc

description: RACMO_1999.nc
DOI: 10.22008/fk2/aa6mtb/lwoy7z
title: MAR_2002.nc

description: MAR_2002.nc
DOI: 10.22008/fk2/aa6mtb/jk3kxb
title: MAR_2007.nc

description: MAR_2007.nc
DOI: 10.5281/zenodo.4568244
title: Data from : Niche separation of wetland birds revealed from airborne laser scanning

description: This data repository contains the processed lidar metrics for characterizing the vegetation structure within wetlands. The lidar metrics were derived from Airborne Laser Scanning (ALS) data in the Netherlands. To pre-process the country-wide ALS data for the Netherlands (AHN3: https://downloads.pdok.nl/ahn3-downloadpage/ ) we used laserchicken python package (https://zenodo.org/record/3836593#.XutyQGgzaUk). The scripts regarding the lidar data pre-processing step is avaialble under https://github.com/eEcoLiDAR/Laserfarm/tree/2020_01_status_quo. The horizontal metrics were calculated using the R scripts published in https://github.com/eEcoLiDAR/Niche_separation_wetland_ALS/tree/master/data_analysis/lidar_process repository.
DOI: 10.5281/zenodo.4568243
title: Data from : Niche separation of wetland birds revealed from airborne laser scanning

description: This data repository contains the processed lidar metrics for characterizing the vegetation structure within wetlands. The lidar metrics were derived from Airborne Laser Scanning (ALS) data in the Netherlands. To pre-process the country-wide ALS data for the Netherlands (AHN3: https://downloads.pdok.nl/ahn3-downloadpage/ ) we used laserchicken python package (https://zenodo.org/record/3836593#.XutyQGgzaUk). The scripts regarding the lidar data pre-processing step is avaialble under https://github.com/eEcoLiDAR/Laserfarm/tree/2020_01_status_quo. The horizontal metrics were calculated using the R scripts published in https://github.com/eEcoLiDAR/Niche_separation_wetland_ALS/tree/master/data_analysis/lidar_process repository.
DOI: 10.22008/fk2/aa6mtb/s7ktkm
title: RACMO_2005.nc

description: RACMO_2005.nc
DOI: 10.22008/fk2/aa6mtb/jjjx5x
title: RACMO_1998.nc

description: RACMO_1998.nc
DOI: 10.22008/fk2/aa6mtb/ppktlp
title: RACMO_1995.nc

description: RACMO_1995.nc
DOI: 10.22008/fk2/aa6mtb/xxes0n
title: RACMO_1968.nc

description: RACMO_1968.nc
DOI: 10.22008/fk2/aa6mtb/iy2cnj
title: RACMO_2004.nc

description: RACMO_2004.nc
DOI: 10.22008/fk2/aa6mtb/padlpz
title: MAR_2004.nc

description: MAR_2004.nc
DOI: 10.22008/fk2/aa6mtb/khwnae
title: RACMO_1996.nc

description: RACMO_1996.nc
DOI: 10.22008/fk2/aa6mtb/ysqqwx
title: RACMO_1966.nc

description: RACMO_1966.nc
DOI: 10.22008/fk2/aa6mtb/jnvd6t
title: MAR_2010.nc

description: MAR_2010.nc
DOI: 10.22008/fk2/aa6mtb/karonu
title: RACMO_2003.nc

description: RACMO_2003.nc
DOI: 10.22008/fk2/aa6mtb/hrew9q
title: MAR_1985.nc

description: MAR_1985.nc
DOI: 10.22008/fk2/aa6mtb/4dbwfl
title: RACMO_2014.nc

description: RACMO_2014.nc
DOI: 10.22008/fk2/aa6mtb/xqpipa
title: RACMO_1989.nc

description: RACMO_1989.nc
DOI: 10.22008/fk2/aa6mtb/cylzz1
title: MAR_1994.nc

description: MAR_1994.nc
DOI: 10.22008/fk2/aa6mtb/1anvvh
title: RACMO_2007.nc

description: RACMO_2007.nc
DOI: 10.22008/fk2/aa6mtb/4wgmtm
title: RACMO_1977.nc

description: RACMO_1977.nc
DOI: 10.22008/fk2/aa6mtb/vcyqms
title: RACMO_1978.nc

description: RACMO_1978.nc
DOI: 10.22008/fk2/aa6mtb/c2jmbj
title: RACMO_1962.nc

description: RACMO_1962.nc
DOI: 10.22008/fk2/aa6mtb/fvkxsd
title: RACMO_1986.nc

description: RACMO_1986.nc
DOI: 10.22008/fk2/aa6mtb/ymzwim
title: MAR_2012.nc

description: MAR_2012.nc
DOI: 10.22008/fk2/aa6mtb/psynfc
title: MAR_2014.nc

description: MAR_2014.nc
DOI: 10.22008/fk2/aa6mtb/bul1rj
title: RACMO_1959.nc

description: RACMO_1959.nc
DOI: 10.22008/fk2/aa6mtb/vsnjrl
title: RACMO_1980.nc

description: RACMO_1980.nc
DOI: 10.22008/fk2/aa6mtb/pdxlqn
title: RACMO_1958.nc

description: RACMO_1958.nc
DOI: 10.22008/fk2/aa6mtb/pimbus
title: MAR_1995.nc

description: MAR_1995.nc
DOI: 10.22008/fk2/aa6mtb/ihesbe
title: MAR_2008.nc

description: MAR_2008.nc
DOI: 10.22008/fk2/aa6mtb/lhu2bw
title: RACMO_2002.nc

description: RACMO_2002.nc
DOI: 10.22008/fk2/aa6mtb/xv3ykr
title: RACMO_1985.nc

description: RACMO_1985.nc
DOI: 10.22008/fk2/aa6mtb/uflra7
title: RACMO_2000.nc

description: RACMO_2000.nc
DOI: 10.22008/fk2/aa6mtb/fjl1i3
title: RACMO_1984.nc

description: RACMO_1984.nc
DOI: 10.22008/fk2/aa6mtb/yiq4o6
title: MAR_1986.nc

description: MAR_1986.nc
DOI: 10.22008/fk2/aa6mtb/astixd
title: RACMO_2019.nc

description: RACMO_2019.nc
DOI: 10.22008/fk2/aa6mtb/j9qows
title: MAR_1980.nc

description: MAR_1980.nc
DOI: 10.22008/fk2/aa6mtb/fxygqe
title: MAR_2016.nc

description: MAR_2016.nc
DOI: 10.22008/fk2/aa6mtb/lcu9nd
title: RACMO_1976.nc

description: RACMO_1976.nc
DOI: 10.22008/fk2/aa6mtb/qb5j5z
title: RACMO_1964.nc

description: RACMO_1964.nc
DOI: 10.22008/fk2/aa6mtb/t1sabd
title: RACMO_1965.nc

description: RACMO_1965.nc
DOI: 10.22008/fk2/aa6mtb/lthwpq
title: RACMO_2011.nc

description: RACMO_2011.nc
DOI: 10.22008/fk2/aa6mtb/f1ekny
title: RACMO_1987.nc

description: RACMO_1987.nc
DOI: 10.22008/fk2/aa6mtb/sdl0pa
title: RACMO_1970.nc

description: RACMO_1970.nc
DOI: 10.22008/fk2/aa6mtb/vjnfhj
title: MAR_2017.nc

description: MAR_2017.nc
DOI: 10.22008/fk2/aa6mtb/hsquge
title: MAR_2000.nc

description: MAR_2000.nc
DOI: 10.22008/fk2/aa6mtb/svpios
title: RACMO_2013.nc

description: RACMO_2013.nc
DOI: 10.22008/fk2/aa6mtb/60runi
title: MAR_1999.nc

description: MAR_1999.nc
DOI: 10.22008/fk2/aa6mtb/d0scek
title: MAR_1988.nc

description: MAR_1988.nc
DOI: 10.22008/fk2/aa6mtb/xjflzo
title: MAR_1984.nc

description: MAR_1984.nc
DOI: 10.22008/fk2/aa6mtb/gnyojv
title: RACMO_1960.nc

description: RACMO_1960.nc
DOI: 10.22008/fk2/aa6mtb/wyvdal
title: RACMO_1991.nc

description: RACMO_1991.nc
DOI: 10.22008/fk2/aa6mtb/d3dbna
title: MAR_1991.nc

description: MAR_1991.nc
DOI: 10.22008/fk2/aa6mtb/07sjan
title: MAR_1990.nc

description: MAR_1990.nc