cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/f7676346-a67e-4fdf-9d30-e79ad2585195
title: Behaviour, diet, condition and demography data for common guillemots from the Isle of May, 1982-2019

description: This dataset contains information on the parental behaviour, diet, condition and demography of common guillemots on the Isle of May, south-east Scotland. Annual data are available for 1982 to 2019 inclusive. These data are part of the Isle of May long-term study to assess population trends of seabirds under environmental change (IMLOTS https://www.ceh.ac.uk/our-science/projects/isle-may-long-term-study).
description: Empirical data on common guillemots on the Isle of May derive from observations of breeding behaviour, diet and demography and condition from measures obtained from birds caught temporarily. Data collection was undertaken by experienced observers from the UK Centre for Ecology & Hydrology. All data were proofed before entering the full dataset and processed as per the accompanying metadata and supporting information. Sea surface temperature were obtained from a reputable online source (www.bsh.de/en/Marine_data). Energetic content of diet was determined using freeze-drying techniques and adiabatic bomb-calorimeters
DOI: 10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50
title: High resolution European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 1x1 km2 grid for the year 2018.

The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.1.1.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

description: The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 1x1 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.
The data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.

Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.
DOI: 10.5285/2dce161d-2fab-47bb-9fe6-38e7ed1ae18a
title: Daily and sub-daily hydrometeorological and soil moisture data (2013-2024) [COSMOS-UK]

description: This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from the COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2024 . These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables.

Each site in the network records the following hydrometeorological and soil data at 30-minute resolution: Radiation (short wave, long wave, and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point sensors at various depths.

Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), provide at daily resolution.

The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted, and the snow water equivalent (SWE) is given.

The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution.

Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week  where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data , indicating the reason for any missing data.

This  work was supported by the Natural Environment Research Council award number NE/Y006208/1 as part of the UKCEH NC-UK programme delivering National Capability.

description: Hydrometeorological and soil observations are recorded at sites around the UK using an array of sensors. Every hour, the raw data collected is sent to UKCEH in Wallingford, where it is subject to quality control. Soil volumetric water content data are derived from 30-minute hydrometeorological data and data from the cosmic-ray sensing probe by Python scripts run every hour. The data are calculated using the method outlined in Evans et al. 2016. Snow water equivalents are derived by Python scripts at the end of the day from the hydrometeorological data according to Wallbank et al., 2020. Potential evapotranspiration data are derived by Python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method, (FAO Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56). All data (including raw, quality controlled and derived) is saved in an Oracle database.
DOI: 10.5285/4592780d-734f-4f62-9780-87afe27555d2
title: Data from the experimental management of arable field options for rare plants

description: This dataset consists of vegetation abundance data from four experiments investigating the management of arable field options for rare plants. These experiments consisted of a margin management experiment, a herbicide screening experiment, a cereal headland experiment and a crop rotation experiment. All experiments were conducted between 2011 and 2014. The margin management experiment investigated the effects of different cultivation timing and methods and herbicide treatments on the vegetation species composition and abundance within arable field margins. The herbicide screening experiment investigated the effects of different herbicides and their timing of application on the condition of fifteen species of rare arable plants. The cereal headland experiment investigated the effects of standard cereal sowing density versus reduced cereal sowing density, and of standard application of N fertilizer vs no application, on sown rare arable species and on the spontaneous weed flora of cereal stands. The crop rotation experiment was designed to provide baseline data for modelling population dynamics of rare arable species in relation to crop rotation scenarios. The data comes from a project funded by Defra (BD5204: Improving the management and success of arable plant options in ELS and HLS).
description: Quality assurance for data from these experiments consisted of checking for outliers, of spot checking of input data, and in the case of vegetation data, of checking and correcting for ID inconsistencies among recorders, and, where necessary, forming species aggregates.
DOI: 10.5285/f7bd976b-f903-4b65-91bc-06bfbfad5608
title: Life history data from insects in a host-parasitoid interaction under a range of humidity and heat stress conditions

description: Data contains multiple life history parameters of a host the Indian meal moth Plodia interpunctella and its parasitoid Venturia canescens measured either at high (60.8% RH) or low (32.5%) humidity, with simulated heat stress exposure either at 4th or 5th instar larvae, at different length of 0, 6, 72 hours. Data were collected by a single-generation life history experiment in which we investigated how humidity modified the stage-specific responses of host and parasitoid to heat stress. 
description: Experiments were conducted in lab incubators. Each column in the data files corresponds to each individual of host or parasitoid with its life history traits. Dates were recorded as the date that observations were carried out. Leg lengths of species were recorded to mm. All data were recorded in the lab using pen and paper. Data were checked with original source on the paper to make sure they were correct.
DOI: 10.15468/dl.w43pfj
title: Occurrence Download

description: A dataset containing 4881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix nigricans"
 ]
}

 The dataset includes 4881 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005038-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31126900
title: Cymodocea dataset

description: Metabarcoding of specimens of Cymodocea.
DOI: 10.6084/m9.figshare.31126900.v1
title: Cymodocea dataset

description: Metabarcoding of specimens of Cymodocea.
DOI: 10.5285/191bbdb4-0d36-40b0-ab23-8079f23a1479
title: South Georgia and the South Sandwich Islands Marine Protected Area boundaries, 2019 update

description: This record comprises nine datasets related to the South Georgia and the South Sandwich Islands (SGSSI) Marine Protected Area (MPA) review undertaken in 2019. The SGSSI MPA is one of the world's largest MPAs, and the 2019 review led to a significant extension of the MPA area to cover all of the SGSSI Maritime Zone totalling 1.24 million km2. Details of the new measures can be found within the legislation (SG Gazette No 1. Dated 31 January 2019: https://laws.gov.gs/gazettes), and the datasets here relate directly to these measures.

The following datasets are published here, for which further information can be found in the legislation linked above:

-The boundary of the SGSSI MPA/Maritime Zone
-No Take Zones for South Georgia
-No Take Zones for Clerke and Shag rocks
-No Take Zones for South Sandwich Islands
-No Take Zones for South Sandwich Islands trench
-No Take Zones for South of 60degS
-Benthic Closed Areas
-Pelagic Closed Areas
-Heavy Fuel Oil Prohibition line

The datasets are available as shapefiles.

This work has been funded directly by the Government of South Georgia and the South Sandwich Islands.
description: The data were created using Esri ArcMap, following parameters set out in the legislation (SG Gazette No 1. Dated 31 January 2019: https://laws.gov.gs/gazettes).

Areas were calculated using a custom equal area projection. This projection is an Albers Equal Area Conic projection with a central meridian of 34°W, standard parallels at 54°S and 60°S, and the latitude of origin at 57°S. The spheroid is WGS84. These calculations are recorded in the 'area_km2'' attribute for each boundary feature.
description: Shapefiles were created using Esri ArcMap.
DOI: 10.15468/dl.9tk3xr
title: Occurrence Download

description: A dataset containing 850151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Costa Rica",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-83.69922 8.73806,-82.83658 8.73806,-82.83658 9.10165,-83.69922 9.10165,-83.69922 8.73806))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2026"
 ]
}

 The dataset includes 850151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005013-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqwcpm
title: Occurrence Download

description: A dataset containing 5691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Vulpes vulpes",
 "Year 2025-2026"
 ]
}

 The dataset includes 5691 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005040-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17793700
title: SclcTumorMinerCDB paper and web files

description: SclcTumorMinerCDB is a new public web tool for mining Small Cell Lung Cancer (SCLC) patient clinical and genomics data. It is available at https://discover.nci.nih.gov/SclcTumorMinerCDB/

This repository (SclcTumorMinerCDB files) include supplementary files and scripts for the manuscript as well data content needed to run locally the website 
description: The files needed to run locally the website are:



srcContent.rds:  SCLC patient data

srcContent_cell.rds: SCLC Broad (CCLE) cell line data


Other files for NMF analysis:





NMF_code.zip: Contains two R scripts along with the input gene expression data and sample annotation files located in the input_dataset folder. The scripts must be executed from the same directory that contains the input_dataset folder. The zip file include





input_dataset/SCLC_TumoMiner_Sample_annotation.txt: Annotation file for 235 SCLC samples.




input_dataset/sclc_Patient_data_xsq_noBER.txt: normalized RNA-seq data in log2(FPKM + 1) format, without batch correction, for the 235 samples.


code_untreated.R: R script for NMF clustering and heatmap of clusters in untreated patient samples

code_relapse.R: R script for NMF clustering and heatmap of clusters in relapse patient samples




The scripts can be run using the following commands:









Rscript code_untreated.R




Rscript code_relapse.R
DOI: 10.5281/zenodo.17793701
title: SclcTumorMinerCDB paper and web files

description: SclcTumorMinerCDB is a new public web tool for mining Small Cell Lung Cancer (SCLC) patient clinical and genomics data. It is available at https://discover.nci.nih.gov/SclcTumorMinerCDB/

This repository (SclcTumorMinerCDB files) include supplementary files and scripts for the manuscript as well data content needed to run locally the website 
description: The files needed to run locally the website are:



srcContent.rds:  SCLC patient data

srcContent_cell.rds: SCLC Broad (CCLE) cell line data


Other files for NMF analysis:





NMF_code.zip: Contains two R scripts along with the input gene expression data and sample annotation files located in the input_dataset folder. The scripts must be executed from the same directory that contains the input_dataset folder. The zip file include





input_dataset/SCLC_TumoMiner_Sample_annotation.txt: Annotation file for 235 SCLC samples.




input_dataset/sclc_Patient_data_xsq_noBER.txt: normalized RNA-seq data in log2(FPKM + 1) format, without batch correction, for the 235 samples.


code_untreated.R: R script for NMF clustering and heatmap of clusters in untreated patient samples

code_relapse.R: R script for NMF clustering and heatmap of clusters in relapse patient samples




The scripts can be run using the following commands:









Rscript code_untreated.R




Rscript code_relapse.R
DOI: 10.5281/zenodo.13388198
title: Data for paper: Analysis and control of untemplated DNA polymerase activity for guided synthesis of kilobase-scale DNA sequences

description: This deposit contains data for the paper entitled: "Analysis and control of untemplated DNA polymerase activity for guided synthesis of kilobase-scale DNA sequences"

Contents include:



part-1.zip - Data deposit 1

part-2.zip - Data deposit 2

README.md - Description of the contents of each zip file
DOI: 10.5281/zenodo.17956595
title: Data for paper: Analysis and control of untemplated DNA polymerase activity for guided synthesis of kilobase-scale DNA sequences

description: This deposit contains data for the paper entitled: "Analysis and control of untemplated DNA polymerase activity for guided synthesis of kilobase-scale DNA sequences"

Contents include:



part-1.zip - Data deposit 1

part-2.zip - Data deposit 2

README.md - Description of the contents of each zip file
DOI: 10.5517/ccdc.csd.cc2n2f4b
title: CCDC 2445191: Experimental Crystal Structure Determination

description: Related Article: Elena A. Nikiforova, Dmitry P. Zverev, Maksim V. Dmitriev, Sergey N. Shurov
|2025|Zh.Obshch.Khim.|95|2925|doi:10.1134/S1070363225603011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2n2f5c
title: CCDC 2445192: Experimental Crystal Structure Determination

description: Related Article: Elena A. Nikiforova, Dmitry P. Zverev, Maksim V. Dmitriev, Sergey N. Shurov
|2025|Zh.Obshch.Khim.|95|2925|doi:10.1134/S1070363225603011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qh7gy
title: CCDC 2517090: Experimental Crystal Structure Determination

description: Related Article: NAIMA MUNIR|2025|CSD Communication|||
description: Related Article: Naima Munir, Navin Gürbüz, Gul-e-Saba Chaudhry, İsmail Özdemir, Muhammad Sarfraz, Betül Şen, Muhittin Aygün, Muhammad Naveed Zafar
|2025|ACS Omega|10|13278|doi:10.1021/acsomega.4c11048
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qh7m3
title: CCDC 2517095: Experimental Crystal Structure Determination

description: Related Article: NAIMA MUNIR|2025|CSD Communication|||
description: Related Article: Naima Munir, Navin Gürbüz, Gul-e-Saba Chaudhry, İsmail Özdemir, Muhammad Sarfraz, Betül Şen, Muhittin Aygün, Muhammad Naveed Zafar
|2025|ACS Omega|10|13278|doi:10.1021/acsomega.4c11048
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2qh7p5
title: CCDC 2517097: Experimental Crystal Structure Determination

description: Related Article: Naima Munir, Navin Gürbüz, Gul-e-Saba Chaudhry, İsmail Özdemir, Muhammad Sarfraz, Betül Şen, Muhittin Aygün, Muhammad Naveed Zafar
|2025|ACS Omega|10|13278|doi:10.1021/acsomega.4c11048
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17026/ar/oogzpz
title: Archeologisch bureauonderzoek De Wassenaarse Slag, Wassenaar Gemeente Wassenaar

description: &lt;p&gt;Uit het bureauonderzoek blijkt dat het plangebied is gelegen in het duingebied. De ondergrond bestaat uit Jonge duinen op Oude duinen op een strandwal. Het Jonge duinzand heeft geen archeologische verwachting. De Wassenaarse Slag is pas in de 19e eeuw aangelegd. Daarvoor was dit onontgonnen duingebied. Het vissersdorpje Berkheide lag waarschijnlijk ruim een kilometer ten noorden van het plangebied en daarvan worden dus geen resten verwacht. De Jonge duinen hebben vooral een verwachting voor resten uit de Tweede Wereldoorlog, gerelateerd aan de Atlantikwall. Ook deze worden in het plangebied niet verwacht doordat het plangebied pas na de Tweede Wereldoorlog is ingericht en daarbij grootschalig is afgezand.&lt;/p&gt;&lt;p&gt;
De Oude duinen hebben een hoge archeologische verwachting vanaf het ontstaan van de onderliggende strandwal in het Laat Neolithicum – Vroege Bronstijd tot in de Vroege Middeleeuwen. Bij het archeologisch onderzoek in de omgeving is de top van de Oude duinen op zijn hoogst aangetroffen op 3,8 m NAP. Het is mogelijk dat de top van de Oude duinen in het plangebied (lokaal) niet meer aanwezig is als gevolg van kustafslag en/of winderosie. Eventuele niveaus in de Oude duinen manifesteren zich als donkere, humeuze lagen, soms met vondststrooiingen. Er kunnen complextypes worden aangetroffen zoals nederzettingen, akkers en begravingen; sporen zoals paalsporen, greppels, kuilen, waterputten en vondsten zoals aardewerk. Voor organische artefacten gelden slechte conserveringsomstandigheden in zand boven de grondwaterspiegel.&lt;/p&gt;
DOI: 10.5281/zenodo.18339809
title: EVRPTW Benchmark Dataset with Heterogeneous Charging Stations and Two Time-Window Variants

description: This record provides an EVRPTW benchmark dataset with heterogeneous charging stations. For each instance, two variants are included: (A) original time windows with added charging stations, and (B) relaxed time windows obtained by applying a distance-based due-date relaxation procedure. Charging stations are generated with minimum spatial separation and are assigned density-driven attributes: the charging rate is deterministically mapped from a normalized local density score, while price and waiting time are represented by log-normal distribution parameters. The package includes augmented instance files (.txt), station attribute files (*_stations.csv), the generation scripts (Algorithm 1 and Algorithm 2), and params.json for full reproducibility.

Note on base instances:The folder homberger_1000_customer_instances/ contains the original benchmark instance files obtained from the public benchmark source and is included unchanged for convenience and reproducibility. All added charging-station data and attributes (variant_A_original_TW/, variant_B_relaxed_TW/, *_stations.csv) as well as the generation code are produced by the authors of this dataset.
DOI: 10.5281/zenodo.18339810
title: EVRPTW Benchmark Dataset with Heterogeneous Charging Stations and Two Time-Window Variants

description: This record provides an EVRPTW benchmark dataset with heterogeneous charging stations. For each instance, two variants are included: (A) original time windows with added charging stations, and (B) relaxed time windows obtained by applying a distance-based due-date relaxation procedure. Charging stations are generated with minimum spatial separation and are assigned density-driven attributes: the charging rate is deterministically mapped from a normalized local density score, while price and waiting time are represented by log-normal distribution parameters. The package includes augmented instance files (.txt), station attribute files (*_stations.csv), the generation scripts (Algorithm 1 and Algorithm 2), and params.json for full reproducibility.

Note on base instances:The folder homberger_1000_customer_instances/ contains the original benchmark instance files obtained from the public benchmark source and is included unchanged for convenience and reproducibility. All added charging-station data and attributes (variant_A_original_TW/, variant_B_relaxed_TW/, *_stations.csv) as well as the generation code are produced by the authors of this dataset.