cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26190/5df6aa5d5effd
title: ICM Database - Integrated Carbon Metrics Embodied Carbon Life Cycle Inventory Database

description: The Integrated Carbon Metrics (ICM) Embodied Carbon Life Cycle Inventory (LCI) Database (ICM Database) provides Australian-specific Carbon Footprint Intensities for around 700 construction and building materials, as well as built environment-related products and processes, based on a hybrid life cycle assessment methodology. The ICM Database is an output of the Integrated Carbon Metrics project (number RP2007) supported by the CRC for Low Carbon Living (CRCLCL).
description: Carbon Footprint Intensities are calculated using Hybrid Life Cycle Assessment (LCA) method. The type of hybrid LCA used for this database is integrated hybrid LCA, where the (monetary) input-output table is connected to a (physical) process matrix. Two main types of data are hybridised in this database- Process data from the Australian National Life Cycle Inventory Database are connected with Input-output data from an Australian national Supply-and-Use Table (SUT).
DOI: 10.4121/21273291
title: SimToll: A Highway Toll, Lane Selection, and Traffic Modeling Dataset

description: This dataset contains traffic information of a toll highway; the highway consists of a toll lane, a carpool lane, and three regular lanes. The traffic information includes the number of vehicles on each lane type and the average speed on each lane, at ntervals of 6 minutes. The dataset also provides information about the individual drivers/vehicles on the highway, like their eparture and arrival times and the lane used.
DOI: 10.5281/zenodo.12776470
title: Data for "Opposing changes in Indian Summer Monsoon Rainfall variability produced by orbital and anthropogenic forcing"

description: The dataset for the CAM5 and LBM experiments is presented in the manuscript titled "Opposing changes in Indian summer monsoon rainfall variability produced by orbital and anthropogenic forcing. And the proxy data for the paper.
DOI: 10.5281/zenodo.13381200
title: Genomic data used for analysis including treatment with Operon Mapper

description: Genomic data and their respective treatment by the Operon Mapper webserver used for analysis.
DOI: 10.6084/m9.figshare.22261759.v1
title: Transcriptome assemblies for four Argyranthemum taxa (two hybrid species and their parents)

description: Transcriptome assembly was carried out using Trinity version 2.11 (Grabherr et al., 2013). Read normalisation to k-mer coverage of 30 was carried out prior to assembly. Reads were normalised within species (fru, bro, sun, lem) using Trinity, and for the interspecific assembly ("all") the normalised reads from the four species were combined and normalised again in the same way. Transcripts were assembled with minimum k-mer coverage of 2, increasing the stringency for reads to be assembled together. To account for polymorphism between individuals and species, up to 4 nucleotide differences and a 15 bp gap were allowed when assembling transcripts.
DOI: 10.17632/j6tcm29gnw.1
title: GROUND NESTING BEHAVIOR OF Aotus griseimembra: RARE TERRESTRIAL EVIDENCE IN A STRICTLY ARBOREAL SPECIES

description: Figure 1 Supplementary: Location of the riparian forest patch containing a pair of A. griseimembra in Santa Lucia, within the inter-Andean basin of the Mid-Magdalena River Basin, Colombia. The red dot indicates ground nest location, while the blue polygon represents the study area.

Supplementary material 2. Video showing the presence of a female Aotus griseimembra at the ground sleeping site. The animal was alert to our presence but did not flee from the refuge
DOI: 10.24381/cds.776e08bd
title: Climate extreme indices and heat stress indicators derived from CMIP6 global climate projections
DOI: 10.5281/zenodo.10020320
title: Data for sensitivity of AMOC fingerprint
DOI: 10.5281/zenodo.11635166
title: 2D Transdimensional Joint Inversion of RMT and ERT Data

description: These directories contain the dataset (synthetic and field data), processed data obtained using the 2D transdimensional Bayesian inversion and inverted modelsobtained using WSJointInv2D-MT-DCR code for the publications “2D Transdimensional Joint Inversion of Radio magnetotelluric and Electrical Resistivity Tomography Data”.All scripts to produce the plots are written in MATLAB and the scripts are given in each folder. The name of each plotting script begins with “A1 xxx.m”. For example the script “A1 Stats plot.m” in “./Synthetic Data/plot model” is used to plot various statistical maps such as mean, median, standard deviations, etc.
DOI: 10.5281/zenodo.13144034
title: Setup and Dataset for the Validation of an Eulerian-Lagrangian Coupling Method in the m-AIA framework

description: This repository holds data files, code information and property files which are used to conduct performance analyses of a Parallel Eulerian-Lagrangian Coupling Method.
DOI: 10.5281/zenodo.13737381
title: B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests

description: We provide the data and online Appendix for the paper "B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests". 

File list:



Appendix.pdf: including the proofs for the theorems in our paper.

data.zip: including datasets and generated code solutions/test cases used for our replicated package, which is available at https://github.com/ZJU-CTAG/B4.
DOI: 10.6084/m9.figshare.26810470.v1
title: Retrospective study on pain management pathway for patients with suspected renal/ ureteric colic in a U.K. Accidents and emergency department

description: Retrospective study on pain management pathway for patients with suspected renal/ ureteric colic in a U.K. Accidents and emergency department
DOI: 10.6084/m9.figshare.27173847
title: Supplementary Material for: A case of Conjunctival Melanoma presenting as a Squamous Cell Carcinoma

description: Conjunctival melanoma (CM) is a rare but potentially lethal ocular malignancy that arises from melanocytes in the conjunctiva. Its clinical presentation can mimic other more common conjunctival lesions, such as squamous cell carcinoma (SCC), leading to diagnostic challenges. We present a case of conjunctival melanoma initially misdiagnosed as conjunctival SCC due to overlapping clinical features.
DOI: 10.3886/e159582v1
title: Code and Data for: Does Cash Bail Deter Misconduct?

description: Courts routinely use low cash bail as a financial incentive to ensure that released defendants appear in court and abstain from crime. This can create burdens for defendants with little empirical evidence on its efficacy. We exploit a prosecutor-driven reform that led to a sharp reduction in low cash bail and pretrial supervision, with no effect on pretrial detention, to test whether such incentive mechanisms succeed at their intended purpose. We find no evidence that financial collateral has a deterrent effect on failure-to-appear or pretrial crime. This paper also contributes to the literature on legal actor discretion, showing that non-binding reforms may have limited impact on jail populations.<br>
DOI: 10.5281/zenodo.13301435
title: Data used to plot figures in dFe diagnostics
DOI: 10.5281/zenodo.8047777
title: Genetic impacts on DNA methylation help elucidate regulatory genomic processes

description: Background: Pinpointing genetic impacts on DNA methylation can improve our understanding of pathways that underlie gene regulation and disease risk.


Results: We report heritability and methylation quantitative trait locus (meQTL) analysis at 724,499 CpGs profiled with the Illumina Infinium MethylationEPIC array in 2,358 blood samples from three UK cohorts. Methylation levels at 34.2% of CpGs are affected by SNPs, and 98% of effects are cis-acting or within 1 Mbp of the tested CpG. Our results are consistent with meQTL analyses based on the former Illumina Infinium HumanMethylation450 array. Both SNPs and CpGs with meQTLs are overrepresented in enhancers, which have improved coverage on this platform compared to previous approaches. Co-localisation analyses across genetic effects on DNA methylation and 56 human traits identify 1,520 co-localisations across 1,325 unique CpGs and 34 phenotypes, including in disease-relevant genes, such as USP1 and DOCK7 (total cholesterol levels), and ICOSLG (inflammatory bowel disease). Enrichment analysis of meQTLs and integration with expression QTLs give insights into mechanisms underlying cis-meQTLs, (e.g. through disruption of transcription factor binding sites for CTCF and SMC3), and trans-meQTLs (e.g. through regulating the expression of ACD and SENP7 which can modulate DNA methylation at distal sites).


Conclusions: Our findings improve the characterisation of the mechanisms underlying DNA methylation variability and are informative for prioritisation of GWAS variants for functional follow-ups. The MeQTL EPIC Database and viewer are available online at https://epicmeqtl.kcl.ac.uk/.
DOI: 10.11583/dtu.24212409
title: Supplementary material for "Experimental study of an innovative timber-concrete composite deck with a demountable dry-dry notched connection system"

description: This dataset contains data associated with the experimental series described in "Experimental study of an innovative timber-concrete composite deck with a demountable dry-dry notched connection system".The following data is available in the dataset:<b>Additional descriptions</b><br><b>• 0 - Additional description</b><br>0.1 - Material0.1.1 Storage0.1.2 Timber0.1.3 Concrete0.2 - Assembly0.2.1 Preactivation0.2.2 Fasteners0.3 - Data acquisition and testing0.3.1 Digital image correlation0.3.2 Experimental setup0.3.3 Load protocol<b>Material tests</b><br><i>Photos, data, and videos related to the material testing</i><b>•</b><b> 1 - Material tests</b>1.1 - Mortar, compression (.jpg, .txt)1.2 - Concrete, compression (.jpg, .txt)1.3 - Concrete, splitting strength (.jpg, .txt)1.4 - Concrete, young's modulus (.jpg, .txt)1.5 - Timber, compression (.jpg, .txt)1.6 - Timber, bending young's modulus (.jpg, .txt)1.7 - Timber, bending strength (.jpg, .txt)1.8 - Timber, density (.txt)1.9 - Timber, moisture (.jpg,.txt)<b>Main tests</b><br><i>Drawings, cad models, photos, data, and videos related to the main testing.</i><br><b>• </b><b>2.0 - Main tests - Experimental setup</b><br>2.0.1 - Photos (.jpg)2.0.2 - Videos (.mp4)2.0.3 - Cadmodel (.ifc)2.0.4 - Calibrations (.pdf)<b>• </b><b>2.x - Main tests - Specimen</b>2.x.1 - Workshop drawing and cad model (.pdf + .ifc)2.x.2 - Photos (.jpg)2.x.3 - Data collection (.txt)2.x.4 - Videos (.mov)2.x.5 - DIC material (.jpg)<i>x: specimen number</i><br>
DOI: 10.17632/k9pcvrfs7r.1
title: Data for: Road Network Pricing and Design for Ordinary and Hazmat Vehicles: Integrated Model and Specialized Local Search
DOI: 10.17909/kjms-sq75
title: JWST Early Release Observations

description: Data used to create the Webb First Images released on July 12, 2022.
DOI: 10.5066/p9hsw0ai
title: Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023)

description: This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for uncertainty related to sampling bias by using two alternative sources of background samples, and constructed model ensembles using the 10 models for each species (five algorithms by two background methods) for three different thresholds (conservative to targeted). This data bundle contains a single file of tabular summaries by management unit (including each species/ ensemble type combination) and a subfolder for each species that contains the merged data sets used to create models, the six raster files associated with the species, and tabular outputs including response curve data, variable importance information, and model assessment metrics. Each of the six rasters represent the following: 1) 0.01 - one percentile threshold 2) 0.1 - ten percentile threshold 3) MaxSS - maximum sensitivity plus specificity threshold 4) 0.01 - one percentile threshold with Restricted Environmental Conditions 5) 0.1 - ten percentile threshold with Restricted Environmental Conditions 6) MaxSS - maximum sensitivity plus specificity threshold with Restricted Environmental Conditions The bundle documentation files are: 1) 'project_metdata.xml' (this file) which contains the project-level metadata 2) managementSummaries.csv is the tabular summaries by management unit. 3) 'mergedDataset.csv' contains the merged data set used to create the models, including location and associated environmental data, for each species. 4) XX.tif where XX is the raster type explained above (threshold; masked or not). 5) responseCurves.csv is the tabular information need to produce response curves for each predictor retained in each of the 10 models produced for each species. 6) variableImportance.csv is the tabular summaries indicating predictor importance for each of the 10 models produced for each species. 7) assessmentMetrics.csv is the tabular summaries of assessment metrics for each model or ensemble for each species.
DOI: 10.5281/zenodo.10928346
title: Annual inventories of retrogressive thaw slumps across the Qinghai-Tibet Plateau from 2016 to 2022

description: The dataset is retrogressive thaw slump inventories with annual intervals across the plateau from 2016 to 2022. It contains the boundaries of thaw slumps delineated yearly based on the PlanetScope Scenes with high resolution (3-5 m). The inventories were compiled semi-automatically by combining deep-learning detection and manual delineation. We assigned a unique ID to every RTS in 2022 and the corresponding polygons in previous years. For RTSs merged into one in 2022, we assigned the same ID to make them traceable. We also clustered the RTSs based on the locations. It is the first of this kind to provide annual large-scale thaw slump observations across the QTP and can potentially be a benchmark for monitoring permafrost and evaluating its impact. The vector file in shapefile format contains the boundary of each hot melt collapse. The name of the file is “QTP_RTS_YYYY”, with the ‘YYYY’ representing the year of the boundaries. Relevant attribute tables include unique numbers, area (units: m2), longitude and latitude, and clusters that RTSs are in, with the corresponding names of the table fields 'id', 'Area', 'Longitude', 'Latitude' and 'Cluster'.
DOI: 10.5281/zenodo.13335000
title: Dataset of the Paper "Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot"

description: This dataset contains a list of 102 code smells detected from Copilot-generated Python code, along with Python code files generated by Copilot from the Repositories and Code label, respectively. This dataset also includes Copilot Chat’s responses to fixing the 102 detected code smells. A brief description of each document and folder in the dataset is provided below:

1. files folder

contains 311 Python code files generated by Copilot. In the 311 Python files, 171 are retrieved under the Repositories label, indicating Python code files entirely generated by Copilot, and 140 are retrieved under the Code label, indicating Python code snippets generated by Copilot.

2. results of RQ1.xlsx

contains a list of 102 code smells detected from Copilot-generated Python code.

3. results of RQ2.xlsx

contains Copilot Chat’s responses to fixing the detected 102 code smells instructed by three prompts of varying detail levels.
DOI: 10.5281/zenodo.5094290
title: CSP.guru 2021-07-01

description: This is the fourth version of CSP.guru produced during the openCSP project and reflects the state of play in the middle of 2021. As requested by CSP.guru users, we include for the first time a Microsoft Excel ".xlsx" for quick analysis, but also retain the data-package for machine readability.<br> This release has three new data fields: "Local_spelling", especially relevant for the Chinese plants, indicates the name in Mandarin or other alphabets. Second, we added two fields "hybridisation_capacity" and "Hybridisation_comment" to collect data on co-location of CSP plants with other power sources. Early plants often had a fossil fuel burner to increase the capacity factor, ISCC plants are integrated with a natural gas combined cycle, and modern CSP plants are often co-located or integrated with other renewable power sources, especially low-cost power generators from PV and wind. In terms of projects, in the first half of 2021 one plant, Cerro Dominador in Chile, went online. To that, we added three plants in China as under construction namely Supcon Delingha 135 MW Tower, Shouhang Yumen 100 MW Tower and the Shenzhen Jinfan Akesai - 50MW Trough. For an upcoming analysis we also added some additional pilot plants. Additionally, we updated some data entries as better sources were available, including for the Hami project. The location of Duba Green ISCC was updated and the status set to under construction, as it is not clear that the plant is operational. Finally, it is important to point out that the field "operational" means something different in China than in other countries. In China grid connection and first power production suffice to be eligible for the Feed-in-tariff, while in other contexts operational indicates the completion of the plant.
description: {"references": ["Lilliestam et al. (2021) https://doi.org/10.1080/15567249.2020.1773580"]}
DOI: 10.5281/zenodo.8018006
title: Mixed model-based deconvolution of cell-state abundances along a one-dimensional trajectory [csd-eQTL]

description: <strong>README:</strong> The full summary data of the cell-state-dependent eQTLs for GTEx Esophagus Mucosa (n=497) are stored in the .parquet format. An example of the file name: <strong>"GTEx_Esophagus_Mucosa_bin1.cis_qtl_pairs.1.parquet.gz"</strong> means the summary data of csd-eQTLs for bin1 of chromosome 1.
DOI: 10.5441/002/edbt.2016.14
title: CrowdSky: Skyline Computation with Crowdsourcing
DOI: 10.15468/dl.dwpk7v
title: Occurrence Download

description: A dataset containing 540863 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Literature Occurrence"
 ]
 },
 {
 "or" : [
 "Geometry POLYGON((2.21031 48.8166,2.3251 48.75584,2.48222 48.8166,2.48222 48.97316,2.21031 48.97316,2.21031 48.8166))",
 "Geometry POLYGON((4.15478 52.03571,4.48757 52.01191,4.41296 52.19135,4.37634 52.19776,4.27288 52.1204,4.15478 52.03571))"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Coordinate precision/uncertainty mismatch",
 "Issue is Country derived from coordinates",
 "Issue is Continent derived from coordinates",
 "Issue is Presumed swapped coordinate",
 "Issue is Presumed negated longitude",
 "Issue is Presumed negated latitude",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date invalid",
 "Issue is Recorded date unlikely",
 "Issue is Taxon match fuzzy",
 "Issue is Taxon match higher rank",
 "Issue is Taxon match none",
 "Issue is Depth not metric",
 "Issue is Depth unlikely",
 "Issue is Depth min max swapped",
 "Issue is Depth non numeric",
 "Issue is Elevation unlikely",
 "Issue is Elevation min max swapped",
 "Issue is Elevation not metric",
 "Issue is Elevation non numeric",
 "Issue is Modified date unlikely",
 "Issue is Identified date unlikely",
 "Issue is Identified date invalid",
 "Issue is Basis of record invalid",
 "Issue is Type status invalid",
 "Issue is Multimedia date invalid",
 "Issue is Occurrence status unparsable",
 "Issue is Occurrence status inferred from individual count"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2020"
 ]
}

 The dataset includes 540863 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139739-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrmbqq
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cottus aleuticus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 200 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001924-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86nfgg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes japonicus",
 "Country is Liechtenstein",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001926-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49pgyz
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes japonicus",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 399 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001925-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8df3f
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes japonicus",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001927-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szwb4y
title: Occurrence Download

description: A dataset containing 306454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocitta formosae",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 306454 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001850-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.