cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.956711
title: Data sets to Yedoma permafrost incubation in seawater, assessing CO₂ release and quantifying fossil carbon contribution using radiocarbon as an inverse tracer

description: 85-day-long aerobic incubation of Yedoma permafrost soil from the Lena Delta into seawater from the eastern Kara Sea, at ~2°C in the dark. The setup is simulating the process of introduction of OC from eroding cost lines along the arctic cost and the resuspension in the shelf bottom waters via the later transport. Samples were incubated in a ratio of Yedoma 3mL to sea water 90 mL. Three treatments were set up 1) Yedoma+Sea water (untreated, 20 vials); 2) Yedoma+filtered Sea Water (0.2µm filter, 6 vials); 3) filtered Sea Water (0.2µm filter, 6 vials). Additionally, vials with pH and O₂ sensors were set up for each treatment: 1) 3 vials; 2) & 3) 2 vials each. Presented data include raw data of temperature, pH, oxygen concentrations, dissolved inorganic carbon concentrations (DIC) and radiocarbon signature (DI14), and sediment data (concentration and radiocarbon signature). Nutrients (NH₄, NO₂, NO₃, and PO₄), ions (Cl & SO₄), DIC, DI14C, total dissolved organic carbon (DOC), and total dissolved nitrogen (TDN) are reported normalized to the water volume in the vials. Further, parameters of the carbonate system were calculated, in order to access CO₂ release and its age signature over the cause of the experiment (carbon budget).
DOI: 10.15468/dl.kah4d2
title: Occurrence Download

description: A dataset containing 1074283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1074283 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008728-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmbprk
title: Occurrence Download

description: A dataset containing 3024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Issue is one of (Coordinate reprojected, Geodetic datum assumed WGS84, Coordinate rounded, Continent derived from country, Continent derived from coordinates, Continent invalid, Recorded date mismatch)",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 3024 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008852-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxt6xk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 79",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008853-241107131044228/datasets/export for details.
DOI: 10.1594/pangaea.939429
title: Spring fires 2020 in Russia: Results from participatory burned area mapping with Sentinel-2 imagery

description: The dataset contains information about all fires that occurred on the territory of the Russian Federation from January 1 to May 15, 2020, when the first peak of spring fires ends for most regions. The contours of the fires were obtained by visual interpretation of Sentinel-2 MSI medium resolution satellite images (10-20 m / pixel) in a combination of Infra-Red (11-8-2) and Natural Color (4-3-2) channels at a scale of 1: 10,000 to 1: 50,000. For a more accurate determination of the boundaries of the territories covered by the fire, the images before and after the fire were compared during visual interpretations. FIRMS thermal anomalies were used as an additional source of information. The digitizing process was carried out by trained volunteers, the verification was done by the GIS Unit experts of the Greenpeace Russia and contracted GIS specialists.
description: Dataset archived here was not proof-read by author!
DOI: 10.15468/dl.mkxsn8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanessa atalanta (Linnaeus, 1758)",
 "Year is 79",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008854-241107131044228/datasets/export for details.
DOI: 10.15468/dl.9bkavk
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhincodon typus Smith, 1828",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2010",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON ((136 -30, 179 -30, 179 0, 136 0, 136 -30))"
 ]
}

 The dataset includes 75 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008857-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.972409
title: Organic carbon content, stable carbon isotope ratios, and lignin phenol fingerprint of terrestrial material deposited at the paleo-delta of the Lena River at the transition to the Preboreal

description: The dataset was used to reconstruct the release of permafrost organic carbon from the watershed of the Lena River (Russia) between 11.1 and 11.7 calibrated thousand years Before Present (cal. kyr BP, Present = 1950 AD) and to model potential methane emissions from this carbon source. Data were obtained analyzing plant debris isolated from the low density fraction (&lt;1.8 g/cm3) of muddy sediments from the Piston Core 23 (PC23). The sediment core was retrieved in July 2014 in the mid/outer-shelf of the Laptev Sea shelf (76° 10' 15.6''N; 129° 20' 13.2''E, water depth of 56 m) during Leg 1 of the SWERUS-C3 expedition (Swedish-Russian-U.S. Arctic Ocean – Investigation of Climate-Cryosphere-Carbon interactions). Measurement of total organic carbon (TOC) and stable (d¹³C) carbon isotopes were performed on 0.3 to 0.7 mg of samples on February 2022 using a Thermo DeltaQ isotope-ratio mass spectrometer (IRMS) coupled to a Thermo Flash 2000 Elemental Analyzer via a ConFlo IV interface at the at the Institute of Polar Sciences from the National Research Council of Italy (Bologna Section, Italy). The methodology for sample preparation followed Nieuwenhuize et al. (1994). Data on biomarkers (lignin phenols) were obtained extracting 2 to 3 mg of samples using a Microwave Accelerated Reaction System (MARS) 5 from CEM and following the methodology from Goñi & Montgomery (2000). The extracts were analysed using a Agilent 7890A gas chromatograph (GC) coupled to an Agilent 5975C mass spectrometer to identify and quantify the compounds of interest. Biomarkers extraction and analyses were carried out on March 2022 in the organic chemistry laboratories of the Ente Nazionale Idrocarburi (ENI)-National Research Council (CNR) of Italy Joint Research Center "Aldo Pontremoli" (Lecce, Italy). Stable isotope ratios and biomarkers were used to gain insights on the main vegetation source of the plant debris and (biomarkers only) to investigate the degradation state of the terrestrial material.
DOI: 10.15468/dl.tkn6zd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year is 79",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008858-241107131044228/datasets/export for details.
DOI: 10.1594/pangaea.972412
title: Radiocarbon content and age of terrestrial material deposited at the paleo-delta of the Lena River at the transition to the Preboreal

description: The dataset was used to reconstruct the release of permafrost organic carbon from the watershed of the Lena River (Russia) between 11.1 and 11.7 calibrated thousand years Before Present (cal. kyr BP, Present = 1950 AD) and to model potential methane emissions from this carbon source. Data were obtained analyzing plant debris isolated from the low density fraction (&lt;1.8 g/cm3) of muddy sediments from the Piston Core 23 (PC23). The sediment core was retrieved in July 2014 in the mid/outer-shelf of the Laptev Sea shelf (76° 10' 15.6''N; 129° 20' 13.2''E, water depth of 56 m) during Leg 1 of the SWERUS-C3 expedition (Swedish-Russian-U.S. Arctic Ocean – Investigation of Climate-Cryosphere-Carbon interactions). Radiocarbon (¹⁴C) content measurements were performed on 4 to 7 mg of sample on May 2022 using the Continuous Flow Accelerator Mass Spectrometry (CFAMS) system at the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility (Woods Hole Oceanographic Institution, Woods Hole, MA, USA). The ¹⁴C content was used to calculate ¹⁴C isotope ratios (D¹⁴C) and to reconstruct non-calibrated and calibrated ¹⁴C ages of plant debris isolated from the sediment fraction with a density lower than 1.8 g/cm3. Additionally, D¹⁴C values were used to calculate the ¹⁴C content of plant debris at time of sediment deposition (D¹⁴Ci) and the latter to obtain pre-depositional ¹⁴C ages. The dataset allowed to reconstruct the age of the terrestrial plant material when deposited at the coring site and identify its provenance from within the permafrost OC pool (sub-surface soil within 1 m depth vs deep soil) after remobilization. The average pre-depositional ¹⁴C age of plant debris was ultimately used to model methane emissions from relatively young permafrost organic carbon during the late deglaciation (ca. 10 to 15 cal. kyr BP).
DOI: 10.15468/dl.ucasxn
title: Occurrence Download

description: A dataset containing 81140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castor canadensis Kuhl, 1820"
 ]
}

 The dataset includes 81140 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008855-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytb4q6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax esculentus (Linnaeus, 1758)",
 "Year is 79",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008860-241107131044228/datasets/export for details.
DOI: 10.15468/dl.4vvkur
title: Occurrence Download

description: A dataset containing 922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Spermacoce densiflora (DC.) Alain"
 ]
}

 The dataset includes 922 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008861-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpqs4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissotriton vulgaris (Linnaeus, 1758)",
 "Year is 79",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008863-241107131044228/datasets/export for details.
DOI: 10.15468/dl.kmdb5p
title: Occurrence Download

description: A dataset containing 3357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 3357 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008862-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bfuqv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 80",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008864-241107131044228/datasets/export for details.
DOI: 10.15468/dl.fywz9q
title: Occurrence Download

description: A dataset containing 608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Conringia orientalis (L.) C.Presl"
 ]
}

 The dataset includes 608 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008865-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wg4vzr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 80",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008866-241107131044228/datasets/export for details.
DOI: 10.6084/m9.figshare.27237678
title: energy_efficient

description: the SPEC2017 checkpoint is generated by nemu(https://github.com/OpenXiangShan/NEMU(opens in new window)) with riscv-pk, then simulating with xs-gem5(https://github.com/OpenXiangShan/GEM5(opens in new window)).contentcsv: resultMakefile: place it to nemu root directory, run <code>make checkpointing</code> to generate checkpointgen_spec.py: place it to/riscv-rootfs/rootfsimg/ directory. Using it to generate rootfs*.cc, *.hh, BranchPredictor.py: src files in gem5procedurecheckpoint generation```git clone https://github.com/OpenXiangShan/NEMUgit submodule update --initexport NEMU_HOME=/path/to/NEMUmake checkpoint```gem5all src files are located in `src/cpu/pred/ftb`, BranchPredictor.py is placed in src/cpu/pred,it contains configuration of Branch Predictor. Most of the logic resides in ftb.cc and decoupled_bpred.cc.<br>Some options in BranchPredictor.py can be used to control the activation of certain components：<br>- enabletbit- enableNST- enableNBT<br>after generate checkpoints, use<code>build/RISCV/gem5.fast --outdir=${OUTPUT_DIR}_run configs/example/fs.py --caches --l2cache --xiangshan-system --cpu-type=DerivO3CPU --mem-type=DRAMsim3 --dramsim3-ini=/home/lizilin/projects/xs_gem5/xiangshan_DDR4_8Gb_x8_2400.ini --mem-size=8GB --cacheline_size=64 --l1i_size=32kB --l1i_assoc=8 --l1d_size=32kB --l1d_assoc=8 --l2_size=1MB --l2_assoc=8 --l2-hwp-type=MultiPrefetcher --l3cache --l3_size=8MB --l3_assoc=8 --bp-type=DecoupledBPUWithFTB --cpu-clock='3.5GHz' --sys-clock='3.5GHz' --warmup-insts=20000000 --maxinsts=40000000 --generic-rv-cpt=checkpoints/${BENCH}/take_cpt/${BENCH}_${POS}_${WEIGHT}/0/_${POS}_.gz --gcpt-restorer=NEMU/resource/gcpt_restore/build/gcpt.bin</code><br>to run gem5. statistics are available in stats.txt. Some relevant statistics are:system.cpu.branchPred.predTimessystem.cpu.branchPred.condSaveTimesystem.cpu.branchPred.indirectSaveTimesystem.cpu.branchPred.noBranchStreamsystem.cpu.branchPred.indirectStreamsystem.cpu.branchPred.directStreamsystem.cpu.branchPred.condStreamsystem.cpu.branchPred.allStream<br>
DOI: 10.6084/m9.figshare.27237678.v2
title: energy_efficient

description: the SPEC2017 checkpoint is generated by nemu(https://github.com/OpenXiangShan/NEMU(opens in new window)) with riscv-pk, then simulating with xs-gem5(https://github.com/OpenXiangShan/GEM5(opens in new window)).contentcsv: resultMakefile: place it to nemu root directory, run <code>make checkpointing</code> to generate checkpointgen_spec.py: place it to/riscv-rootfs/rootfsimg/ directory. Using it to generate rootfs*.cc, *.hh, BranchPredictor.py: src files in gem5procedurecheckpoint generation```git clone https://github.com/OpenXiangShan/NEMUgit submodule update --initexport NEMU_HOME=/path/to/NEMUmake checkpoint```gem5all src files are located in `src/cpu/pred/ftb`, BranchPredictor.py is placed in src/cpu/pred,it contains configuration of Branch Predictor. Most of the logic resides in ftb.cc and decoupled_bpred.cc.<br>Some options in BranchPredictor.py can be used to control the activation of certain components：<br>- enabletbit- enableNST- enableNBT<br>after generate checkpoints, use<code>build/RISCV/gem5.fast --outdir=${OUTPUT_DIR}_run configs/example/fs.py --caches --l2cache --xiangshan-system --cpu-type=DerivO3CPU --mem-type=DRAMsim3 --dramsim3-ini=/home/lizilin/projects/xs_gem5/xiangshan_DDR4_8Gb_x8_2400.ini --mem-size=8GB --cacheline_size=64 --l1i_size=32kB --l1i_assoc=8 --l1d_size=32kB --l1d_assoc=8 --l2_size=1MB --l2_assoc=8 --l2-hwp-type=MultiPrefetcher --l3cache --l3_size=8MB --l3_assoc=8 --bp-type=DecoupledBPUWithFTB --cpu-clock='3.5GHz' --sys-clock='3.5GHz' --warmup-insts=20000000 --maxinsts=40000000 --generic-rv-cpt=checkpoints/${BENCH}/take_cpt/${BENCH}_${POS}_${WEIGHT}/0/_${POS}_.gz --gcpt-restorer=NEMU/resource/gcpt_restore/build/gcpt.bin</code><br>to run gem5. statistics are available in stats.txt. Some relevant statistics are:system.cpu.branchPred.predTimessystem.cpu.branchPred.condSaveTimesystem.cpu.branchPred.indirectSaveTimesystem.cpu.branchPred.noBranchStreamsystem.cpu.branchPred.indirectStreamsystem.cpu.branchPred.directStreamsystem.cpu.branchPred.condStreamsystem.cpu.branchPred.allStream<br>
DOI: 10.6084/m9.figshare.27237678.v1
title: energy_efficient

description: the SPEC2017 checkpoint is generated by nemu(https://github.com/OpenXiangShan/NEMU(opens in new window)) with riscv-pk, then simulating with xs-gem5(https://github.com/OpenXiangShan/GEM5(opens in new window)).contentcsv: resultMakefile: place it to nemu root directory, run<code>make checkpointing</code> to generate checkpointgen_spec.py: place it to/riscv-rootfs/rootfsimg/ directory. Using it to generate rootfs<br>all src files are located in <code>src/cpu/pred/ftb</code>, after generate checkpoints, use<code>build/RISCV/gem5.fast --outdir=${OUTPUT_DIR}_run configs/example/fs.py --caches --l2cache --xiangshan-system --cpu-type=DerivO3CPU --mem-type=DRAMsim3 --dramsim3-ini=/home/lizilin/projects/xs_gem5/xiangshan_DDR4_8Gb_x8_2400.ini --mem-size=8GB --cacheline_size=64 --l1i_size=32kB --l1i_assoc=8 --l1d_size=32kB --l1d_assoc=8 --l2_size=1MB --l2_assoc=8 --l2-hwp-type=MultiPrefetcher --l3cache --l3_size=8MB --l3_assoc=8 --bp-type=DecoupledBPUWithFTB --cpu-clock='3.5GHz' --sys-clock='3.5GHz' --warmup-insts=20000000 --maxinsts=40000000 --generic-rv-cpt=checkpoints/${BENCH}/take_cpt/${BENCH}_${POS}_${WEIGHT}/0/_${POS}_.gz --gcpt-restorer=NEMU/resource/gcpt_restore/build/gcpt.bin</code><br>to run gem5
DOI: 10.15468/dl.eph9ym
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-149.95332 40.53185,-0.04668 40.53185,-0.04668 90.00000,-149.95332 90.00000,-149.95332 40.53185))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus arctos Pocock, 1935"
 ]
}

 The dataset includes 39 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008868-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqkxv3
title: Occurrence Download

description: A dataset containing 292939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis Gmelin, 1788",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 292939 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008856-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u9fs8
title: Occurrence Download

description: A dataset containing 3753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acalypha persimilis Müll.Arg."
 ]
}

 The dataset includes 3753 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008869-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71726/q7amqugp
title: SCARP

description: This data was sourced from a survey of the quadrat based flora and vegetation of the Darling Scarp carried out in 1997. Reference Markey, A. (1997) A floristic survey of the northern Darling Scarp. Report to CALM, EPA & WACC for the AHC.
DOI: 10.15468/dl.bjcxcz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 80",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008870-241107131044228/datasets/export for details.
DOI: 10.15468/dl.2mxczd
title: Occurrence Download

description: A dataset containing 3244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "IucnRedListCategory is LC",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)"
 ]
}

 The dataset includes 3244 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008871-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srx9sx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 80",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008872-241107131044228/datasets/export for details.