cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.b2rbnzsj9
title: Observation‐based global soil heterotrophic respiration indicates underestimated turnover and sequestration of soil carbon by terrestrial ecosystem models

description: Soil heterotrophic respiration (Rh) refers to the flux of CO2 released
 from soil to atmosphere as a result of organic matter decomposition by
 soil microbes and fauna. As one of the major fluxes in the global carbon
 cycle, the estimation of global Rh still exists large uncertainties, which
 further limited our current understanding of the carbon accumulation in
 soils. Here, we applied a Random Forest algorithm to create a global
 dataset of soil Rh, by linking 761 field observations with both abiotic
 and biotic predictors. We estimated that the global Rh was 48.8 ± 0.9 Pg C
 yr-1 for 1982–2018, which was 16% less than the ensemble mean (58.6 ± 9.9
 Pg C yr-1) of 16 terrestrial ecosystem models. By integrating our
 observational Rh with independent soil carbon stock datasets, we obtained
 a global mean soil carbon turnover time of 38.3 ± 11 yr. Using
 observation-based turnover times as a constraint, we found that
 terrestrial ecosystem models simulated faster carbon turnovers, leading to
 a 30% (74 Pg C) underestimation of terrestrial ecosystem carbon
 accumulation for the past century, which was especially pronounced at high
 latitudes. This underestimation is equivalent to 45% of the total carbon
 emissions (164 Pg C) caused by global land use change at the same time.
 Our analyses highlight the need to constrain ecosystem models using
 observation-based and locally adapted Rh values to obtain reliable
 predictions of the carbon sink capacity of terrestrial
 ecosystems. 
description: This dataset provides a global gridded product
 at 0.5-degree resolution of predicted annual soil heterotrophic
 respiration (R<sub style="font-family:'Times New Roman' , serif;">h</sub>) during 1982–2018. A Random Forest (RF)
 approach was used to derive the predicted R<sub style="font-family:'Times New Roman' , serif;">h</sub> trained with 761 observations with 19
 predictors (including climate, vegetation, soil biotic and abiotic
 variables). To improve the RF model accuracy, we developed a stratified
 10-fold cross-validation, by grouping our dataset into three climate zone
 classes (i.e., tropical, temperate and boreal zones) and ensuring each
 class was approximately equally represented across each fold. The average
 predicted map across the RF model ensemble was used as the final
 product.
DOI: 10.22008/promice/data/ice_discharge/d/v02/bgn7tb
title: GIS_err.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/umcfti
title: GIS_D.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/ln4g8t
title: README.txt
DOI: 10.22008/promice/data/ice_discharge/d/v02/m7t9el
title: GIS.nc
DOI: 10.57707/fmi-b2share.51045-efv65
title: Auxiliary data set for Mäkinen et al. (2021) Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements

description: Auxiliary data for the paper Mäkinen et al. 2021. Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements. Submitted to Remote Sensing. The data consist of a XML record of radar observation metadata defining the classifier training set, and the data for the Naive Bayes multicore classifier used in the paper. The files are in plaintext and self-documenting.
DOI: 10.57707/fmi-b2share.9n14s-z3g62
title: Auxiliary data set for Mäkinen et al. (2021) Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements

description: Auxiliary data for the paper Mäkinen et al. 2021. Bayesian Classification of Meteorological and Non-Meteorological Targets in Polarimetric Weather Radar Measurements. Submitted to Remote Sensing. The data consist of a XML record of radar observation metadata defining the classifier training set, and the data for the Naive Bayes multicore classifier used in the paper. The files are in plaintext and self-documenting.
DOI: 10.22008/promice/data/ice_discharge/d/v02/8btnvb
title: region_coverage.tab
DOI: 10.5061/dryad.931zcrjnn
title: Supplementary files for: The oldest complete jawed vertebrates from the early Silurian of China

description: Molecular studies suggest that the origin of jawed vertebrates was no
 later than the Late Ordovician period (around 450 million years ago (Ma)).
 Together with disarticulated micro-remains of putative chondrichthyans
 from the Ordovician and early Silurian period, these analyses suggest an
 evolutionary proliferation of jawed vertebrates before, and immediately
 after, the end-Ordovician mass extinction. However, until now, the
 earliest complete fossils of jawed fishes for which a detailed
 reconstruction of their morphology was possible came from late Silurian
 assemblages (about 425 Ma). The dearth of articulated, whole-body fossils
 from before the late Silurian has long rendered the earliest history of
 jawed vertebrates obscure. Here we report a newly discovered
 Konservat-Lagerstätte, which is marked by the presence of diverse,
 well-preserved jawed fishes with complete bodies, from the early Silurian
 (Telychian age, around 436 Ma) of Chongqing, South China. The dominant
 species, a ‘placoderm’ or jawed stem gnathostome, which we
 name Xiushanosteus mirabilis gen. et sp. nov., combines
 characters from major placoderm subgroups and foreshadows the
 transformation of the skull roof pattern from the placoderm to the
 osteichthyan condition. The chondrichthyan Shenacanthus
 vermiformis gen. et sp. nov. exhibits extensive thoracic armour plates
 that were previously unknown in this lineage, and include a large median
 dorsal plate as in placoderms, combined with a conventional chondrichthyan
 bauplan. Together, these species reveal a previously unseen
 diversification of jawed vertebrates in the early Silurian, and provide
 detailed insights into the whole-body morphology of the jawed vertebrates
 of this period.
description: # Supplementary files for: The oldest complete jawed vertebrates from the
 early Silurian of China
 [https://doi.org/10.5061/dryad.931zcrjnn](https://doi.org/10.5061/dryad.931zcrjnn) ## Description of the data and file structure #### File Name: Supplementary Data 1 Nexus file of the data matrix used in the parsimony and Bayesian phylogenetic analyses. #### File Name: Supplementary Data 2 Nexus file of the data matrix used in the morphospace analysis, this data matrix is essentially the same one to the matrix used in the phylogenetic analyses, except the agnathan taxa were expanded. #### File Name: Supplementary Data 3 Volume renderings of three Xiushanosteus specimens (the holotype IVPP V300001a, IVPP V300007a, and IVPP V300008a) based on Micro CT data. #### File Name: Supplementary Data 4 Uncompressed Figures 1-4 and Extended Data Figures 1-10. #### File Name: Supplementary Data 5 Original photographs of the slabs and individual specimens. #### File Name: Supplementary Data 6 Online address of interactive RTI images. #### File Name: Supplementary Data 7 Nexus file of the data matrix used for the subset analysis excluding the two taxa reported in this paper, and the result of the maximum parsimony analysis. ## Sharing/Access information NA ## Code/Software NA
DOI: 10.57841/casdc.0007117
title: 建立高温超导材料失超传播测试平台
DOI: 10.22008/promice/data/ice_discharge/d/v02/gn2t57
title: region_err.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/l9almf
title: region_D.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/pcz4rf
title: region.nc
DOI: 10.22008/promice/data/ice_discharge/d/v02/6hspjc
title: sector_coverage.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/c6th0d
title: sector_D.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/kyz57i
title: sector.nc
DOI: 10.22008/promice/data/ice_discharge/d/v02/mrgqoh
title: sector_err.tab
DOI: 10.22008/promice/data/ice_discharge/d/v02/idt6pe
title: gate_coverage.csv.zip

description: Gate coverage. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/eefuuw
title: gate_D.csv.zip

description: Gate discharge. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/l1xuhv
title: gate_err.csv.zip

description: Gate errors. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/azd3vr
title: gate_meta.tab

description: Gate metadata. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/ecf6nr
title: GIS_coverage.csv.zip

description: Greenland coverage. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/v92v2x
title: gate.nc

description: Gate discharge, coverage, error, and metadata. Document version 9aecb75
DOI: 10.5061/dryad.bg79cnpd8
title: Supplemental data for: Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities

description: Microbiomes are intricately intertwined with human health, geochemical
 cycles, and food production. While many microbiomes of interest are highly
 complex and experimentally intractable, cheese rind microbiomes have
 proven powerful model systems for the study of microbial interactions. To
 provide a more comprehensive view of the genomic potential and temporal
 dynamics of cheese rind communities, we combine longitudinal,
 multi-platform metagenomics of three ripening washed-rind cheeses with
 whole genome sequencing of community isolates. Sequencing-based approaches
 revealed a highly reproducible microbial succession in each cheese,
 co-existence of closely related Psychrobacter species, and
 enabled the prediction of plasmid and phage diversity and their host
 associations. Combined with culture-based approaches, we established a
 genomic catalog and a paired 16-member in vitro washed
 rind cheese system. The combination of multi-platform metagenomic
 time-series data and an in vitro model provides a rich
 resource for further investigation of cheese rind microbiomes both
 computationally and experimentally. 
description: A detailed methods description can be found in the corresponding
 manuscript "Longitudinal, multi-platform metagenomics yields a
 high-quality genomic catalog and guides an in vitro model for cheese
 communities".
DOI: 10.22008/promice/data/ice_discharge/d/v02/e9chue
title: GIS_err.csv.zip

description: Greenland error. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/mltiyg
title: GIS_D.csv.zip

description: Greenland discharge. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/iqfjai
title: GIS.nc

description: Greenland discharge, coverage, and error. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/03mc87
title: region_coverage.csv.zip

description: Regional coverage. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/1eorth
title: README.txt

description: README. Document version 9aecb75
DOI: 10.5061/dryad.8931zcrt2
title: Social network and fitness data from age-structured populations of forked fungus beetles

description: We investigated the relationships between age, social behavior, and
 fitness at three levels of organization: the individual, the local social
 environment, and the population. Replicate groups of forked fungus beetles
 (Bolitotherus cornutus) were engineered to have either young- or old-
 biased age structures, and both social and reproductive behaviors were
 recorded.
description: These data describe patterns of interaction among 10 mesocosm
 populations of <em>Bolitotherus cornutus</em> in 2018 and 12
 in 2020. In 2020, the 6 "young populations" composed of
 first-year and two-year-old beetles, and 6 "old populations"
 composed of two-year-olds and individuals at least three years of age.
 Social interactions were defined as individuals being in close proximity
 (within 5cm) of one another and were collected through scan sampling 3x a
 day for 8 days in each session. Behavioral datasets were error-checked to
 remove all unidentifiable or dead beetles and all impossible or partially
 recorded interactions. Weighted social networks were created using the
 simple ratio index. Weighted clustering and shortest path lengths were
 calculated in the R package
 <em>tnet</em>.<br><br>In addition to the data and
 scripts used for the analysis, we provide the raw data and the scripts
 used for finding and correcting errors.
DOI: 10.22008/promice/data/ice_discharge/d/v02/oynkla
title: region_D.csv.zip

description: Regional discharge. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/lvi4jx
title: region.nc

description: Regional discharge, coverage, and error. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/muca0n
title: region_err.csv.zip

description: Regional error. Document version 9aecb75
DOI: 10.22008/promice/data/ice_discharge/d/v02/fddpya
title: sector_coverage.csv.zip

description: Sector coverage. Document version 9aecb75
DOI: 10.25349/d9kp60
title: Plant-based food choice selection when presented as a default

description: The main objective of this study is to understand the effect of a default
 nudge on peoples’ meal choices. To decrease the climate and environmental
 impact of the food system, there needs to be a shift away from animal
 source food to plant foods. Our main hypothesis is that when the default
 meal choice is plant-based, a larger proportion of participants will
 accept this default, compared with the proportion opting out of the
 default when it is meat-based and actively selecting a plant-based meal. A
 second hypothesis is that the climate and environmental impact of the
 group presented the plant-based default will be less than that of the
 group presented with the meat-based default. We collected data to test
 these hypotheses by implementing a meal-choice intervention for a campus
 Greek organization's group dinner, and for a graduate student
 training meeting. Half of the attendees for each event were informed that
 there would be meat-based meal, and asked if they wanted to opt-out to a
 plant-based meal. The other half were informed that there would be a
 plant-based meal served, and asked if they would like a meat-based meal
 instead.
description: A list of
 participants to be invited to the event will be divided into two random
 groups and each group emailed a link to an on line RSVP form.
   The first group will be
 provided with a version of the RSVP form that specifies a meal containing
 meat as the default. In order to receive a plant-based meal at the event,
 the respondent must opt-out of the meat default by choosing a plant-based
 meal.   The second group will be
 provided with a version of the RSVP form with a plant-based meal as the
 default. In order to receive a meal containing meat at the event, the
 respondent must opt-out of the plant-based meal default by choosing a meal
 containing meat.   Some demographic quests
 were also asked of the participants after the meal selection. After the
 event, participants were informed of the default intervention.
DOI: 10.15468/dl.prebtt
title: Occurrence Download

description: A dataset containing 969101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anacamptis pyramidalis, Carex lachenalii, Picea abies, Cephalanthera damasonium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 969101 records from 2206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003131-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16910537
title: Abwassersurveillance AMELAG

description: Das Vorhaben "Abwassermonitoring für die epidemiologische Lagebewertung" (AMELAG) läuft vom 22.11.2022 bis zum 31.12.2025. Behörden, Kläranlagen und Labore arbeiten zusammen, um Proben zu nehmen, zu analysieren und zu bewerten. Das Ziel dieses Vorhabens ist es, SARS-CoV-2-Nachweise aus dem Abwasser als zusätzlichen Indikator zur epidemiologischen Lagebewertung auf Länder- und Bundesebene zu etablieren. Ebenso ist es das Ziel, Strukturen und Prozesse für ein bundesweites Netzwerk für die Abwassersurveillance weiter auszubauen, Konzepte für eine Verstetigung zu erstellen und die Möglichkeiten für ein Monitoring von weiteren Krankheitserregern im Abwasser zu erforschen.
Abwassersurveillance ist eine Technik, um Erreger im Abwasser nachzuweisen, um Gesundheitsschutzmaßnahmen besser steuern zu können. Abwasserdaten erlauben keine genaue Einschätzung von Krankheitsschwere oder der Belastung des Gesundheitssystems. Bei der epidemiologischen Bewertung sollten die Daten mit anderen Indikatoren, z.B. aus der syndromischen Surveillance, kombiniert werden.
DOI: 10.15468/dl.7ss53p
title: Occurrence Download

description: A dataset containing 5152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula, Puma concolor)",
 "HasCoordinate is true",
 "Country is Brazil"
 ]
}

 The dataset includes 5152 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009489-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bncvjs
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eremanthus uniflorus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 85 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009490-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38zcv4
title: Occurrence Download

description: A dataset containing 6363320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodentia",
 "HasCoordinate is true",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6363320 records from 5723 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009455-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6dku2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Arctogalidia trivirgata (Gray, 1832))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016243-250525065834625/datasets/export for details.
DOI: 10.15468/dl.eyzrkn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Arctogalidia trivirgata (Gray, 1832))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016244-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29222441
title: Key parameters of 80 texts.xlsx

description: There are parameters of the Zipf-Mandelbrot elementary text model.
DOI: 10.6084/m9.figshare.29222441.v1
title: Key parameters of 80 texts.xlsx

description: There are parameters of the Zipf-Mandelbrot elementary text model.
DOI: 10.6084/m9.figshare.29222441.v2
title: Key parameters of 80 texts.xlsx

description: There are parameters of the Zipf-Mandelbrot elementary text model.
DOI: 10.5281/zenodo.15583224
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603j Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15583225
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603j Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603j Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.s2bpug
title: Occurrence Download

description: A dataset containing 2304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47216 36.66462,-4.44556 36.66462,-4.44556 36.67928,-4.47216 36.67928,-4.47216 36.66462))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2304 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017408-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.