cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27257932.v1
title: Measuring and modelling functional moat area in perennially ice-covered Lake Fryxell, Antarctica

description: The perennially ice-covered lakes of the McMurdo Dry Valleys (MDVs), Antarctica, are an important reservoir of liquid water in an arid and largely frozen environment. During the austral summer, the margins of these ice covers melt, forming a “moat” of liquid water and thin ice, allowing exchange between lake waters and the atmosphere to occur and serving as an interface between lake, soil, and stream ecosystems. The size of these moats varies from year to year. Here, we have established the first published record of moat area changes at MDVs’ Lake Fryxell through time using manual traces of the moat as observed via satellite imagery. We have also tested a semi-automated approach for measuring moat area and found that it consistently underestimated the manual record, which we suspect may be due to the lower spatial resolution of images used in this versus the manual approach. Finally, we developed a predictive model based on readily available climate data, allowing moat area to be predicted beyond the limits of the satellite-based records. We found that functional moat area varies annually, potentially influencing ecosystem processes in the moats.
DOI: 10.12763/eyvx3p/epuxf8
title: 255_1_Ref_V_62_033.tab

description: :unav
DOI: 10.6084/m9.figshare.26304857
title: An experimental assessment of active and passive dispersal of red snow algae on the Harding Icefield, southcentral Alaska

description: Red snow algae seasonally color glacier and alpine snow surfaces with characteristic red blooms. These blooms significantly reduce the albedo of the snow surface resulting in increased snow ablation. The global cryosphere is sensitive to the melt effect of expansive reoccurring blooms; however, the primary dispersal path by which snow algae seasonally recolonize snow surfaces is currently unresolved. Using an experimental field approach that inhibited resurfacing populations with a physical barrier, then sampled algal surface abundance the following growing season, we assessed two pathways of algal surface colonization on the Harding Icefield, Alaska. Our results provide the first experimental depiction of active resurfacing as the primary pathway of seasonal snow surface colonization by red snow algae above the equilibrium line elevation on an Alaskan glacier. Results suggest that, at the peak of the growing season, 65 percent of surface abundance was derived from actively resurfacing cells and 35 percent from passively dispersing cells.
DOI: 10.6084/m9.figshare.26304857.v1
title: An experimental assessment of active and passive dispersal of red snow algae on the Harding Icefield, southcentral Alaska

description: Red snow algae seasonally color glacier and alpine snow surfaces with characteristic red blooms. These blooms significantly reduce the albedo of the snow surface resulting in increased snow ablation. The global cryosphere is sensitive to the melt effect of expansive reoccurring blooms; however, the primary dispersal path by which snow algae seasonally recolonize snow surfaces is currently unresolved. Using an experimental field approach that inhibited resurfacing populations with a physical barrier, then sampled algal surface abundance the following growing season, we assessed two pathways of algal surface colonization on the Harding Icefield, Alaska. Our results provide the first experimental depiction of active resurfacing as the primary pathway of seasonal snow surface colonization by red snow algae above the equilibrium line elevation on an Alaskan glacier. Results suggest that, at the peak of the growing season, 65 percent of surface abundance was derived from actively resurfacing cells and 35 percent from passively dispersing cells.
DOI: 10.12763/eyvx3p/ltilgq
title: 538_3_NL_Cr_H_101_060.tab

description: :unav
DOI: 10.12763/eyvx3p/x3ghdu
title: 158_1_NL_Cr_AK_46_026.tab

description: :unav
DOI: 10.7483/opendata.cms.usjk.s7a2
title: /LQToSMu_M-2500_pair_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/kwse0x
title: 892_1_L_A_isSCC_141_091.tab

description: :unav
DOI: 10.12763/eyvx3p/b8k3ya
title: 240_1_NL_Ct_H_61_032.tab

description: :unav
DOI: 10.6084/m9.figshare.26349302.v1
title: Activity of predators in seabird colonies decreases during the darkest compared to the brightest phase of the diel cycle below, but not above, the Arctic Circle

description: Predator activity can structure communities temporally and influence the spatial distribution of prey. Yet, despite the influence this may have on prey species’ activity or geographic persistence, our understanding of whether diel predator activity changes geographically remains limited. Here, we conduct a case study to test whether predator activity during the darkest phase of the diel cycle increases with the duration of daylight (i.e. photoperiod) at high latitudes during summer, aligning with the photoperiod constraint hypothesis. Using both observations and experiments at one seabird colony above and one below the northern polar (Arctic) circle, we compared predator activity between the brightest and darkest phases of the diel cycle. Avian predator counts were greater and nest predation events were more common during the brightest phase of the diel cycle below the Arctic Circle (i.e. where the sun goes below the horizon) but similar across phases during polar summer (i.e. above the Arctic Circle when the sun does not set). Our results highlight the potential influence of light on activity of predator communities and suggest a possible latitudinal limit to the advantage gained by dark-active strategies for avoidance of visually hunting predators.
DOI: 10.12763/eyvx3p/lyvsmb
title: 988_1_NL_Cl_H_159_100.tab

description: :unav
DOI: 10.12763/eyvx3p/o5om65
title: 60_031.json

description: :unav
DOI: 10.7483/opendata.cms.l2qo.ziim
title: /LQToSMu_M-2500_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.12763/eyvx3p/lcqz23
title: 266_2_L_ZAl_iBCC_63_034.tab

description: :unav
DOI: 10.12763/eyvx3p/ntfgfp
title: 1141_1_Ref_T_181_117.tab

description: :unav
DOI: 10.6084/m9.figshare.25487935.v1
title: Forest damage and its braking effect on the extreme snow avalanche on Mt. Nodanishoji, Japan, in 2021

description: An extreme snow avalanche occurred on Mt. Nodanishoji, Japan, in 2021. This avalanche was the second largest ever documented in Japan and destroyed many trees and structures. Despite the increasing interest in avalanche disaster mitigation effects of forests, there are limited opportunities to obtain actual data sets on avalanches and forests. In this study, we reconstructed the avalanche velocity based on the cedar forest damage and simulated the avalanche flow using the dynamical run-out model Titan2D to reveal the avalanche movement and ascertain the braking effect of the forest on the avalanche. We successfully simulated the whole movement of the extreme avalanche with a horizontal runout distance of 2,800 m from the starting zone at an altitude of 1,700 m to the run-out zone considering the effect of the forest by increasing the frictional parameters in the model. Whereas in the case of no forest, the avalanche spread beyond its actual reach, considering the forest, the run-out distance decreased and was consistent with the observed reach. Comparing the results with and without forests, we ascertained the distinct braking effect of the forest on the extreme avalanche and quantify it in terms of a locally increased friction angle.
DOI: 10.6084/m9.figshare.25975838
title: Soil nutrient availability affects tundra plant community composition and plant–vole interactions

description: Climate change in the Arctic is predicted to drastically alter carbon and nutrient pools, plant communities, and plant–animal interactions. We examined how four levels of long-term (16 years) nutrient addition in moist acidic tundra affected plant community structure and the abundance of <i>Eriophorum vaginatum</i>, the preferred forage for tundra voles (<i>Microtus oeconomus</i>). We also explored how simulated press and pulse herbivory for four years affected <i>Eriophorum</i> at these different nutrient levels. Shifts in plant community structure, reductions in species diversity and richness, and decreased <i>Eriophorum</i> abundance were pronounced at the highest levels of nutrient addition. <i>Eriophorum</i> abundance was negatively correlated with deciduous shrub abundance, likely caused by light limitation in fertilized plots. Added nutrients generally increased <i>Eriophorum</i> leaf length, but effects varied among years and simulated herbivory treatments. After being clipped once, <i>Eriophorum</i> leaves regrew in fertilized plots to the same length as leaves that had not been clipped, demonstrating recovery. Our results show how interannual variation in plant growth and animal activity might exacerbate or dampen responses over multiple years. Changes to plant community composition and plant–vole interactions associated with increased soil nutrients resulting from warming could have cascading impacts on arctic ecosystems and carbon cycling.
DOI: 10.6084/m9.figshare.25975838.v1
title: Soil nutrient availability affects tundra plant community composition and plant–vole interactions

description: Climate change in the Arctic is predicted to drastically alter carbon and nutrient pools, plant communities, and plant–animal interactions. We examined how four levels of long-term (16 years) nutrient addition in moist acidic tundra affected plant community structure and the abundance of <i>Eriophorum vaginatum</i>, the preferred forage for tundra voles (<i>Microtus oeconomus</i>). We also explored how simulated press and pulse herbivory for four years affected <i>Eriophorum</i> at these different nutrient levels. Shifts in plant community structure, reductions in species diversity and richness, and decreased <i>Eriophorum</i> abundance were pronounced at the highest levels of nutrient addition. <i>Eriophorum</i> abundance was negatively correlated with deciduous shrub abundance, likely caused by light limitation in fertilized plots. Added nutrients generally increased <i>Eriophorum</i> leaf length, but effects varied among years and simulated herbivory treatments. After being clipped once, <i>Eriophorum</i> leaves regrew in fertilized plots to the same length as leaves that had not been clipped, demonstrating recovery. Our results show how interannual variation in plant growth and animal activity might exacerbate or dampen responses over multiple years. Changes to plant community composition and plant–vole interactions associated with increased soil nutrients resulting from warming could have cascading impacts on arctic ecosystems and carbon cycling.
DOI: 10.12763/eyvx3p/blh1ma
title: 144_093.json

description: :unav
DOI: 10.12763/eyvx3p/qp98up
title: 859_3_L_Br_nBCC_136_089.tab

description: :unav
DOI: 10.12763/eyvx3p/0xzgsz
title: 884_3_L_Ai_AK_140_090.tab

description: :unav
DOI: 10.7483/opendata.cms.dd98.pqpu
title: /LQToSMu_M-2500_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/fr33zm
title: 1363_1_Ref_T_201_135.tab

description: :unav
DOI: 10.12763/eyvx3p/zk2gf6
title: 596_3_L_Bb_iBCC_108_066.tab

description: :unav
DOI: 10.6084/m9.figshare.27652592
title: Stratigraphy and paleontology (plant and arthropod fossils) from the Late Neogene Niguanak site, Arctic Slope, Northern Alaska

description: Motivated by the need for more paleodata for Pliocene paleoclimate data-model comparison, we revisited unpublished investigations of a fossiliferous site on the Niguanak River in Arctic North America. Analyses of the samples indicates forested conditions during an early phase of sedimentation in which environments were perhaps similar to those near tree line in the modern Anchorage area or farther south along the Pacific coast, whereas during a later phase of sedimentation, environments were characterized by shrub tundra vegetation and were possibly similar to the present-day conditions in the interior of southern Seward Peninsula. We describe the site stratigraphy and discuss the macrofossils and pollen recovered from the sediments, their paleoecological implications, and their significance for paleoclimate and sea ice. Mean annual temperatures were found to be 12.7°C warmer than current, with a pattern of much warmer winters, and less difference in summer warming as observed at other Pliocene Arctic sites. Finally, we discuss possible age assignments for the sediments, based on regional stratigraphy and geomorphology, and the probable sequence of evolution of arctic borderland climate and ecosystems.
DOI: 10.6084/m9.figshare.27652592.v1
title: Stratigraphy and paleontology (plant and arthropod fossils) from the Late Neogene Niguanak site, Arctic Slope, Northern Alaska

description: Motivated by the need for more paleodata for Pliocene paleoclimate data-model comparison, we revisited unpublished investigations of a fossiliferous site on the Niguanak River in Arctic North America. Analyses of the samples indicates forested conditions during an early phase of sedimentation in which environments were perhaps similar to those near tree line in the modern Anchorage area or farther south along the Pacific coast, whereas during a later phase of sedimentation, environments were characterized by shrub tundra vegetation and were possibly similar to the present-day conditions in the interior of southern Seward Peninsula. We describe the site stratigraphy and discuss the macrofossils and pollen recovered from the sediments, their paleoecological implications, and their significance for paleoclimate and sea ice. Mean annual temperatures were found to be 12.7°C warmer than current, with a pattern of much warmer winters, and less difference in summer warming as observed at other Pliocene Arctic sites. Finally, we discuss possible age assignments for the sediments, based on regional stratigraphy and geomorphology, and the probable sequence of evolution of arctic borderland climate and ecosystems.
DOI: 10.12763/eyvx3p/izvzzy
title: 985_1_L_Cl_isSCC_159_100.tab

description: :unav
DOI: 10.12763/eyvx3p/yuaigq
title: 514_3_NL_Jl_H_98_058.tab

description: :unav
DOI: 10.7483/opendata.cms.m1ro.o5bd
title: /LQToSMu_M-2500_single_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/eyvx3p/qyt4nb
title: 1331_1_NL_Er_H_198_132.tab

description: :unav
DOI: 10.12763/eyvx3p/wddb6p
title: 1058_2_NL_Jl_H_166_107.tab

description: :unav
DOI: 10.12763/eyvx3p/fajajt
title: 169_108.json

description: :unav
DOI: 10.12763/eyvx3p/qb4tt0
title: 948_3_NL_Kr_H_155_096.tab

description: :unav
DOI: 10.7483/opendata.cms.naeh.nmwu
title: /LQToSMu_M-2500_single_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/af5jfo
title: 823_2_NL_Ml_H_131_085.tab

description: :unav
DOI: 10.12763/eyvx3p/5jynlb
title: 1076_2_L_CCr_isSCC_170_109.tab

description: :unav
DOI: 10.12763/eyvx3p/i6jvcv
title: 1097_2_Ref_T_173_111.tab

description: :unav
DOI: 10.12763/eyvx3p/adyb5n
title: 925_2_NL_F_H_153_094.tab

description: :unav
DOI: 10.7483/opendata.cms.ae9e.uyc5
title: /LQToSMu_M-2500_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.12763/eyvx3p/2vcae1
title: 1385_1_NL_J_H_202_136.tab

description: :unav
DOI: 10.12763/eyvx3p/ecyo3q
title: 557_2_Ref_T_103_062.tab

description: :unav
DOI: 10.12763/eyvx3p/qhpmdm
title: 1282_3_Ref_T_193_128.tab

description: :unav
DOI: 10.12763/eyvx3p/woez9x
title: 546_1_Ref_T_102_061.tab

description: :unav
DOI: 10.6084/m9.figshare.28195592
title: PM_disassembly_steps.docx

description: The document describes the disassembly steps of a power module.
DOI: 10.6084/m9.figshare.28195592.v1
title: PM_disassembly_steps.docx

description: The document describes the disassembly steps of a power module.
DOI: 10.7483/opendata.cms.nkoe.n3a5
title: /LQToSMu_M-2500_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/xrx4kk
title: 15_1_Cal_STD_20_011.tab

description: :unav
DOI: 10.12763/eyvx3p/74qfcr
title: 446_3_NL_ZBl_H_91_052.tab

description: :unav
DOI: 10.12763/eyvx3p/wbqwuc
title: 62_033.json

description: :unav
DOI: 10.12763/eyvx3p/dqq9dd
title: 1446_3_L_Ll_supBCC_208_140.tab

description: :unav
DOI: 10.12763/eyvx3p/j9wcev
title: 613_1_NL_Fl_H_109_067.tab

description: :unav
DOI: 10.7483/opendata.cms.7794.xei8
title: /LQToSMu_M-2600_pair_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/eyvx3p/wyrsbi
title: 352_3_L_Er_nBCC_71_042.tab

description: :unav
DOI: 10.12763/eyvx3p/xoavyh
title: 1288_2_NL_Cr_H_193_128.tab

description: :unav
DOI: 10.12763/eyvx3p/4zgwuo
title: 524_3_L_Cl_iBCC_100_059.tab

description: :unav
DOI: 10.7483/opendata.cms.4wwx.uf16
title: /LQToSMu_M-2600_pair_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/i4cwto
title: 200_134.json

description: :unav
DOI: 10.12763/eyvx3p/cb2bmu
title: 402_1_L_Fl_iBCC_85_048.tab

description: :unav
DOI: 10.12763/eyvx3p/enzvqr
title: 1418_1_NL_Fl_H_204_138.tab

description: :unav
DOI: 10.12763/eyvx3p/2cia2e
title: 1260_2_NL_Yr_H_192_127.tab

description: :unav
DOI: 10.7483/opendata.cms.wdy9.0y4p
title: /LQToSMu_M-2600_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.12763/eyvx3p/6phxjt
title: 837_2_NL_Bl_H_133_086.tab

description: :unav
DOI: 10.12763/eyvx3p/kgy2lk
title: 492_2_NL_Br_H_96_056.tab

description: :unav
DOI: 10.12763/eyvx3p/qrrbpz
title: 984_1_Ref_T_159_100.tab

description: :unav
DOI: 10.12763/eyvx3p/aeuipz
title: 814_1_L_CCo_ELSE_129_084.tab

description: :unav
DOI: 10.12763/eyvx3p/tq5lwm
title: 1464_2_NL_Fl_H_213_141.tab

description: :unav
DOI: 10.7483/opendata.cms.ep1a.wfz8
title: /LQToSMu_M-2600_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/7umvff
title: 578_1_NL_CCr_H_106_064.tab

description: :unav
DOI: 10.12763/eyvx3p/vdc6bl
title: 608_2_NL_Jr_H_109_067.tab

description: :unav
DOI: 10.12763/eyvx3p/xoyc5e
title: 274_1_Ref_A_64_035.tab

description: :unav
DOI: 10.12763/eyvx3p/fcwees
title: 802_1_NL_Er_H_128_083.tab

description: :unav
DOI: 10.7483/opendata.cms.k43h.9aji
title: /LQToSMu_M-2600_single_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/eyvx3p/aznvj7
title: 691_1_JL_Ut_H_117_075.tab

description: :unav
DOI: 10.12763/eyvx3p/qrn5bx
title: 69_040.json

description: :unav
DOI: 10.12763/eyvx3p/e9umst
title: 473_2_NL_Rl_H_93_054.tab

description: :unav
DOI: 10.7483/opendata.cms.za2p.1v4f
title: /LQToSMu_M-2600_single_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/bifbzy
title: 793_1_NL_Bl_H_127_082.tab

description: :unav
DOI: 10.12763/eyvx3p/d730fv
title: 278_2_L_Al_iBCC_64_035.tab

description: :unav
DOI: 10.12763/eyvx3p/lttpre
title: 637_3_Ref_T_112_070.tab

description: :unav
DOI: 10.12763/eyvx3p/wcllfe
title: 965_2_Ref_V_157_098.tab

description: :unav
DOI: 10.12763/eyvx3p/yebflm
title: 1415_3_L_Fl_SK_204_138.tab

description: :unav
DOI: 10.7483/opendata.cms.1r2u.x98f
title: /LQToSMu_M-2600_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM
DOI: 10.12763/eyvx3p/apfdfb
title: 125_080.json

description: :unav
DOI: 10.12763/eyvx3p/zrbbqb
title: 62_1_JL_Bl_isSCC_29_016.tab

description: :unav
DOI: 10.12763/eyvx3p/ifrfja
title: 979_2_NL_A_H_158_099.tab

description: :unav
DOI: 10.12763/eyvx3p/2hwnpl
title: 940_2_NL_Cr_H_154_095.tab

description: :unav
DOI: 10.7483/opendata.cms.ypng.466l
title: /LQToSMu_M-2600_single_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/ng37ti
title: 1467_2_Ref_V_213_141.tab

description: :unav
DOI: 10.12763/eyvx3p/y6add9
title: 1277_2_NL_Jr_H_192_127.tab

description: :unav
DOI: 10.12763/eyvx3p/8hvzog
title: 897_1_NL_J_H_141_091.tab

description: :unav
DOI: 10.12763/eyvx3p/rphgg2
title: 832_2_Ref_T_133_086.tab

description: :unav
DOI: 10.7483/opendata.cms.xl45.8iwc
title: /LQToSMu_M-2700_pair_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
DOI: 10.12763/eyvx3p/c8h1ul
title: 155_096.json

description: :unav
DOI: 10.12763/eyvx3p/tten2u
title: 864_2_L_Cl_nBCC_136_089.tab

description: :unav
DOI: 10.12763/eyvx3p/qzo64h
title: 40_1_Ref_V_26_015.tab

description: :unav
DOI: 10.7483/opendata.cms.jpmd.27cl
title: /LQToSMu_M-2700_pair_bMassZero_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/duswha
title: 966_1_Ref_T_157_098.tab

description: :unav
DOI: 10.12763/eyvx3p/vo00x3
title: 261_2_NL_Er_H_62_033.tab

description: :unav
DOI: 10.12763/eyvx3p/y7oyfd
title: 455_2_NL_El_H_92_053.tab

description: :unav
DOI: 10.12763/eyvx3p/xh83ba
title: 567_1_L_el_ELSE_105_063.tab

description: :unav
DOI: 10.12763/eyvx3p/ivedht
title: 1460_2_L_Fl_wdISCC_213_141.tab

description: :unav
DOI: 10.7483/opendata.cms.44dd.01kh
title: /LQToSMu_M-2700_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v3/MINIAODSIM
DOI: 10.12763/eyvx3p/gy6uax
title: 459_2_Ref_V_92_053.tab

description: :unav
DOI: 10.12763/eyvx3p/manarm
title: 591_3_Ref_V_108_066.tab

description: :unav
DOI: 10.12763/eyvx3p/gj5gsa
title: 533_1_L_Cr_sclBCC_101_060.tab

description: :unav
DOI: 10.12763/eyvx3p/iolxkp
title: 752_1_Ref_T_122_079.tab

description: :unav
DOI: 10.7483/opendata.cms.az87.f4if
title: /LQToSMu_M-2700_pair_TuneCP2_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
DOI: 10.12763/eyvx3p/wpix7y
title: 115_1_L_El_AK2_38_022.tab

description: :unav
DOI: 10.12763/eyvx3p/bpuk8g
title: 1014_3_Ref_V_162_103.tab

description: :unav
DOI: 10.12763/eyvx3p/kkrxxa
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