cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18330565
title: Mexican Sign Language Glosses (Dynamic Signs)

description: Mexican Sign Language Glosses (Dynamic Signs)

Overview

The Mexican Sign Language (LSM) Glosses Dataset is a specialized collection of 121 dynamic signs designed to facilitate research in sign language recognition within healthcare contexts. This dataset covers a comprehensive lexicon tailored for medical emergencies, accident scenarios, common symptoms, and polite expressions essential for effective patient-provider interactions.

 

Data Representation



Format: High-definition video files in .mp4 format.

Content: Each video represents a single gloss (dynamic sign) executed from start to finish.

Environment: All recordings were captured in a controlled environment featuring optimized lighting conditions and a uniform green background to simplify background subtraction and keypoint extraction.

Perspective: All signs were recorded from a frontal view to provide a direct representation of hand shapes and body movements.


 

Data Collection and Participants

The dataset includes contributions from 12 participants, offering a balanced mix of expertise:



Experts: Two key subjects were included to ensure linguistic accuracy—a professional LSM interpreter (Subject 0) and a Deaf signer (Subject 11).

Non-Experts: Ten subjects (non-signers) were included to provide variability in sign execution, which is crucial for training robust machine learning models.

Repetitions: Each subject performed each of the 121 signs once, resulting in a diverse set of executions for each gloss.


 

Repository Structure

The data is organized by gloss name to simplify the training pipeline. Each folder contains the video files corresponding to that specific sign:



Mexican Sign Language Glosses/

├── <Gloss_Name>/ │    ├── <Gloss_Name>_<SubjectID>.mp4 │    └── ... └── ...


Naming Convention: <Gloss>_<SubjectID>.mp4



Gloss: The specific medical or polite expression (e.g., "Dolor", "Ayuda", "Hospital").

SubjectID: Numerical identifier (0–11).


 

Data Partitioning

As this is a primary corpus, no predefined train/test split is provided. This allows researchers to implement their own validation strategies, such as Leave-One-Subject-Out cross-validation, which is highly recommended given the participant-dependent nature of sign language.
DOI: 10.15468/dl.hpqrbd
title: Occurrence Download

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Grus latipes"
 ]
}

 The dataset includes 200 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005479-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udktru
title: Occurrence Download

description: A dataset containing 3201 records in GBIF matching the query:
SELECT
 '104' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -16.25916876999866
 AND decimalLatitude &lt;= -12.166598047573723
 AND decimalLongitude &gt;= 45.534006342908626
 AND decimalLongitude &lt;= 51.16237982624578
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 3201 records were derived from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005427-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ddn4a
title: Occurrence Download

description: A dataset containing 711 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.53400000000001 8.758084999999999, 98.462915 8.752511999999999, 98.393586 8.735932999999999, 98.327726 8.708757, 98.26696099999999 8.671654, 98.21279 8.625541999999999, 98.16654800000001 8.571559000000001, 98.129372 8.511036000000001, 98.10217400000001 8.445468, 98.085621 8.376469, 98.080113 8.305740999999999, 98.085781 8.235026, 98.10248 8.166062999999999, 98.12979199999999 8.100550999999999, 98.167042 8.040099, 98.21331000000001 7.986194, 98.267455 7.94016, 98.328146 7.903128, 98.393891 7.876008, 98.463075 7.859465, 98.53400000000001 7.853905, 98.60492499999999 7.859465, 98.674109 7.876008, 98.73985399999999 7.903128, 98.800545 7.94016, 98.85469000000001 7.986194, 98.900958 8.040099, 98.938208 8.100550999999999, 98.96552 8.166062999999999, 98.982219 8.235026, 98.987887 8.305740999999999, 98.98237899999999 8.376469, 98.96582600000001 8.445468, 98.93862799999999 8.511036000000001, 98.90145200000001 8.571559000000001, 98.85521 8.625541999999999, 98.801039 8.671654, 98.740274 8.708757, 98.674414 8.735932999999999, 98.605085 8.752511999999999, 98.53400000000001 8.758084999999999))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 711 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005480-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7humw
title: Occurrence Download

description: A dataset containing 8737 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-123.94048 42.74061,-123.70161 40.47269,-119.33035 40.63603,-118.90038 42.77568,-123.94048 42.74061))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lynx rufus, Ursus americanus, Sylvilagus bachmani, Neotoma fuscipes, Microtus californicus, Erethizon dorsatum dorsatum, Canis latrans, Pekania pennanti, Cervus canadensis, Dipodomys heermanni, Microtus montanus, Puma concolor, Odocoileus hemionus, Bassariscus astutus, Odocoileus hemionus columbianus, Dendragapus fuliginosus, Sciurus griseus, Spilogale gracilis, Vulpes vulpes, Urocyon cinereoargenteus, Cervus, Odocoileus, Dipodomys californicus, Odocoileus hemionus californicus)"
 ]
}

 The dataset includes 8737 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005481-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a674mr
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hungary",
 "DatasetKey is izeltlabuak.hu observations validated to species level",
 "OccurrenceStatus is Present",
 "TaxonKey is Omosita"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005482-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qakygu
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.97 8.770084000000001, 99.898912 8.764512, 99.829581 8.747933, 99.76371899999999 8.720756, 99.702952 8.683654000000001, 99.64878 8.637542, 99.602536 8.583558, 99.565359 8.523035999999999, 99.538161 8.457466999999999, 99.521607 8.388469000000001, 99.516099 8.317741, 99.52176799999999 8.247025000000001, 99.538467 8.178063, 99.56578 8.112551, 99.603031 8.052099, 99.6493 7.998194, 99.703447 7.95216, 99.76414 7.915129, 99.829887 7.888008, 99.899073 7.871465, 99.97 7.865905, 100.040927 7.871465, 100.110113 7.888008, 100.17586 7.915129, 100.236553 7.95216, 100.2907 7.998194, 100.336969 8.052099, 100.37422 8.112551, 100.401533 8.178063, 100.418232 8.247025000000001, 100.423901 8.317741, 100.418393 8.388469000000001, 100.401839 8.457466999999999, 100.374641 8.523035999999999, 100.337464 8.583558, 100.29122 8.637542, 100.237048 8.683654000000001, 100.176281 8.720756, 100.110419 8.747933, 100.041088 8.764512, 99.97 8.770084000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 42 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005483-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3yc3xj
title: Occurrence Download

description: A dataset listing the 276 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Inga"
 ]
}

 The dataset's 276 records were derived from 529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005436-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4mk26
title: Occurrence Download

description: A dataset containing 2507 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Censo de aves en diez localidades del municipio de Envigado durante el mes de noviembre de 2025"
 ]
}

 The dataset includes 2507 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005485-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncszyh
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.25 8.785083999999999, 99.178909 8.779512, 99.109576 8.762933, 99.043711 8.735756, 98.98294199999999 8.698653999999999, 98.92876699999999 8.652540999999999, 98.88252199999999 8.598558000000001, 98.845343 8.538035000000001, 98.818144 8.472467, 98.80159 8.403468, 98.796082 8.332739999999999, 98.801751 8.262025, 98.81845 8.193063, 98.845765 8.127549999999999, 98.88301800000001 8.067099000000001, 98.929288 8.013194, 98.98343800000001 7.96716, 99.044133 7.930129, 99.109882 7.903009, 99.17907099999999 7.886465, 99.25 7.880906, 99.32092900000001 7.886465, 99.390118 7.903009, 99.455867 7.930129, 99.51656199999999 7.96716, 99.570712 8.013194, 99.61698199999999 8.067099000000001, 99.654235 8.127549999999999, 99.68155 8.193063, 99.698249 8.262025, 99.703918 8.332739999999999, 99.69841 8.403468, 99.681856 8.472467, 99.654657 8.538035000000001, 99.61747800000001 8.598558000000001, 99.57123300000001 8.652540999999999, 99.51705800000001 8.698653999999999, 99.456289 8.735756, 99.390424 8.762933, 99.321091 8.779512, 99.25 8.785083999999999))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005486-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15660584
title: Tropical Wave Tracks and Forecast Skill in DIMOSIC and AIFS Models

description: This repository contains data generated for the submission to Weather and Forecasting titled "On the Representation of Kelvin Waves and Easterly Waves in Operational Forecast Models: An Object-Tracking Perspective". Published data includes:



CCKW Forecast Errors for DIMOSIC and AIFS model runs ("forecast_errors.zip")

CCKW Forecast Errors for Additional (2023, 2024) AIFS model runs ("additional_aifs_run_forecast_errors.zip")

Reference Wave Tracks (OLR and IMERG) ("main_reference.zip")

Model Wave Tracks (IMERG) ("model_and_cutdown_data_tp.zip")

Model Wave Trakcs (OLR) ("model_and_cutdown_data_olr.zip")


NOTE: The "RMSE" fields within the "forecast_errors.zip" netcdf files should not be used to recreate the figures from this submission; RMSE should be computed from the actual error values themselves.
DOI: 10.5281/zenodo.15660583
title: Tropical Wave Tracks and Forecast Skill in DIMOSIC and AIFS Models

description: This repository contains data generated for the submission to Weather and Forecasting titled "On the Representation of Kelvin Waves and Easterly Waves in Operational Forecast Models: An Object-Tracking Perspective". Published data includes:



CCKW Forecast Errors for DIMOSIC and AIFS model runs ("forecast_errors.zip")

CCKW Forecast Errors for Additional (2023, 2024) AIFS model runs ("additional_aifs_run_forecast_errors.zip")

Reference Wave Tracks (OLR and IMERG) ("main_reference.zip")

Model Wave Tracks (IMERG) ("model_and_cutdown_data_tp.zip")

Model Wave Trakcs (OLR) ("model_and_cutdown_data_olr.zip")


NOTE: The "RMSE" fields within the "forecast_errors.zip" netcdf files should not be used to recreate the figures from this submission; RMSE should be computed from the actual error values themselves.
DOI: 10.21947/3014081
title: WINDPROF: Merged Best-Estimate Wind Profile Data – Nantucket (WFIP3 Campaign)

description: WINDPROF provides 10-minute wind and turbulence profiles, integrating Doppler lidars, wind profiling radars, and sonic anemometers across Northeast U.S. coastal/offshore sites during the WFIP3 campaign. Key data include wind speed, direction, vertical velocity, and turbulence parameters, with standardized quality control (e.g., instrument-specific thresholds and inter-instrument validation). Profiles are interpolated to a height grid (20 m spacing below 100 m; 30 m above) and include comprehensive uncertainty estimates. The Nantucket dataset covers February 2024–September 2025, offering reproducible methods for atmospheric research, model validation, and wind energy studies.
DOI: 10.5281/zenodo.16923345
title: RNA-seq Raw Data from Wild-Type UM6 and Mutant Strain UM120 at 30°C and 37°C

description: This dataset contains the complete transcriptomic analysis outputs for the project X204SC23111202-Z01-F002. The data were generated using RNA-seq from Rhizopus microsporus, including three biological replicates per condition. The four experimental conditions were:





Wild-type UM6 grown at 30 °C (UM630)




Wild-type UM6 grown at 37 °C (UM637)




choC mutant UM120 grown at 30 °C (UM12030)




choC mutant UM120 grown at 37 °C (UM12037)



The repository includes:





RawData folderContains the raw sequencing data for all biological replicates. Each condition (UM630, UM637, UM12030, UM12037) is represented by three replicates (R1–R3).





Each replicate folder includes two paired-end FASTQ files, corresponding to forward and reverse reads, as well as an MD5.txt checksum file.






Compressed HTML reportIncludes quality control summaries, count tables, and interactive plots, viewable in any web browser.




Transcript (Excel summaries)





Transcriptomic Analysis and Expression Pattern-Based Category-Subcategory Classification: gene-level differential expression across four pairwise contrasts (UM637 vs UM630, UM12037 vs UM12030, UM12030 vs UM630, UM12037 vs UM637). Columns include ID, a DE flag per contrast, baseMean_[contrasts], log2FC_[contrasts ], padj_[contrats], plus summary annotations Category and Subcategory.


Significant GO Term Enrichment Analysis: GO over-representation results with category (GO ID), over_represented_pvalue, -LOG10(pvalue), under_represented_pvalue, numDEInCat, numInC at, term, ontology (BP/CC/MF) and FDR_over.




These data correspond to the analyses reported in the manuscript "Phosphatidylcholine Biosynthesis via choC is Crucial for Cellular Integrity and Virulence in Rhizopus microsporus".
DOI: 10.5281/zenodo.18343892
title: RNA-seq Raw Data from Wild-Type UM6 and Mutant Strain UM120 at 30°C and 37°C

description: This dataset contains the complete transcriptomic analysis outputs for the project X204SC23111202-Z01-F002. The data were generated using RNA-seq from Rhizopus microsporus, including three biological replicates per condition. The four experimental conditions were:





Wild-type UM6 grown at 30 °C (UM630)




Wild-type UM6 grown at 37 °C (UM637)




choC mutant UM120 grown at 30 °C (UM12030)




choC mutant UM120 grown at 37 °C (UM12037)



The repository includes:





RawData folderContains the raw sequencing data for all biological replicates. Each condition (UM630, UM637, UM12030, UM12037) is represented by three replicates (R1–R3).





Each replicate folder includes two paired-end FASTQ files, corresponding to forward and reverse reads, as well as an MD5.txt checksum file.






Compressed HTML reportIncludes quality control summaries, count tables, and interactive plots, viewable in any web browser.




Transcript (Excel summaries)





Transcriptomic Analysis and Expression Pattern-Based Category-Subcategory Classification: gene-level differential expression across four pairwise contrasts (UM637 vs UM630, UM12037 vs UM12030, UM12030 vs UM630, UM12037 vs UM637). Columns include ID, a DE flag per contrast, baseMean_[contrasts], log2FC_[contrasts ], padj_[contrats], plus summary annotations Category and Subcategory.


Significant GO Term Enrichment Analysis: GO over-representation results with category (GO ID), over_represented_pvalue, -LOG10(pvalue), under_represented_pvalue, numDEInCat, numInC at, term, ontology (BP/CC/MF) and FDR_over.




These data correspond to the analyses reported in the manuscript "Phosphatidylcholine Biosynthesis via choC is Crucial for Cellular Integrity and Virulence in Rhizopus microsporus".
DOI: 10.15468/dl.p5ga8m
title: Occurrence Download

description: A dataset containing 1279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pituophis deppei"
 ]
}

 The dataset includes 1279 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005487-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11906569
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.53fe3a
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhabdophis leonardi)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007137-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17707880
title: Liveideabench-v2 Dataset (Dataset of Paper LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context)
DOI: 10.5281/zenodo.17707879
title: Liveideabench-v2 Dataset (Dataset of Paper LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context)
DOI: 10.4121/51b40888-e3f0-41ce-8878-4d011f4eb3ba
title: Research data supporting the PhD dissertation: Landfill Response to in-situ Stabilization

description: <strong>Research data supporting the dissertation Landfill Response to in situ Stabilization</strong> The research data proposed for sharing in a public repository correspond to Chapters 3 to 5 of the dissertation.<br><strong>Chapter 3.</strong> Spatial Variability of Gas Composition and Flow in a Landfill under In Situ AerationThis chapter is based on data from the Braambergen landfill pilot.Datasets to be shared Landfilled waste compositionGas round, March 2020. locations of aeration wells, gas composition, and flowGas generation estimates per compartment using the NV Afvalzorg Multiphase Landfill Gas ModelGas rounds 2017 to 2021. pressure, gas velocity, temperature, and gas compositionInline gas sensor data 2017–2021. flow, pressure, temperature, and gas compositionWater levels, March 2020Carbon removal per compartment 2017 to 2021Temperature data, Silixa Ultima XT DTS, January to August 2020Settlement 2018 to 2020 <strong>Chapter 4.</strong> Comparing Modelled, Recovered, and Generated Carbon in Three Landfill Pilots under In Situ StabilizationThis chapter is based on data from the Braambergen, Wieringermeer, and Kragge landfill pilots.Datasets to be shared Inline gas sensor data 2017 to 2024. atmospheric pressure, gas flow, gas pressure, gas temperature, and gas composition Monthly gas rounds for Kragge 2017 to 2024. gas composition and gas velocitiesLandfilled waste compositionExcavated waste analysis. water content, electrical conductivity, total carbon, total organic carbon, total inorganic carbon, organic matter, hydrogen index, oxygen index, R index, and I indexGas generation under aerobic and anaerobic conditions over time, including experimental data and fitted parameters of exponential decay modelsGas generation estimates using the NV Afvalzorg Multiphase Landfill Gas Model <strong>Chapter 5. </strong>Carbon and Nitrogen Balancing to Identify Processes and Assess Progress of Landfill In Situ StabilizationThis chapter is also based on data from the Braambergen, Wieringermeer, and Kragge landfill pilots.Datasets to be shared Inline gas sensor data 2017 to 2024. atmospheric pressure, gas flow, gas pressure, gas temperature, and gas compositionMonthly gas rounds for Kragge 2017 to 2024. gas composition and gas velocitiesLeachate 2017 to 2024. cumulative volume, ammonium-N, nitrate-N, nitrite-N, total Kjeldahl nitrogen, chloride, bicarbonate, carbonate, dissolved organic carbon, pH, total inorganic carbonExcavated waste analysis. water content, total carbon, total organic carbon, and total nitrogenExperimental data on ammonium adsorption to the solid phase in excavated wasteGas generation estimates using the NV Afvalzorg Multiphase Landfill Gas Model <br>