cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26g7lj
title: CCDC 2039477: Experimental Crystal Structure Determination

description: Related Article: Lingyun Zhu|2025|CSD Communication|||
description: Related Article: Lingyun Zhu, Miaofei Huang, Guangchao Han, Zhixiang Wei, Yuanping Yi|2025|Angew.Chem.,Int.Ed.|64|e202413913|doi:10.1002/anie.202413913
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.cc2f7rxc
title: CCDC 2241793: Experimental Crystal Structure Determination

description: Related Article: Kazuki Inoue|2025|CSD Communication|||
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: 10.5285/c2587e20-ba4a-4444-8ce9-ccdec15b0aa3
title: Tree census and diameter increment in fertilised plots in the Central Amazon, 2017–2020

description: The dataset contains the Diameter at Breast Height (DBH) of trees > 10 cm along with botanical identification (family and species). Data were obtained via forest inventories, in annual campaigns (from 2017 to 2019) conducted in May, with exception of the first campaign, which was from June to November, due to the species identification activity. 

The research was conducted in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil.

The dendrometer dataset contains the distance in circumference (mm) from a window on the dendrometer band installed in the tree and measured with a digital caliper, where that distance changes when the trunk grows. Dendrometric bands data were collected from April 2018 to January 2020. 
description: The forest inventory was conducted annually from 2017 to 2019. The first inventory (2017) took a longer time to be carried out (June- November), because it involved the botanical identification of the species. The second and third inventories were made only in May. The diameter was collected at 1.3 m above the ground with a diametric tape in trees with DBH > 10 cm. In some cases, the diameter was collected above that height because of the presence of buttresses or some deformity at that point. For quality control, the staff was trained before collection and the data were entered into the computer in the field, to avoid errors. The recruitment was the inclusion of new individuals who reached 10 cm of DBH, and tree mortality was also recorded.

More precise growth measures and with a higher frequency of collection, are obtained by dendrometric bands, which were installed in 1299 trees. The measure contains the distance in circumference (mm) from a window on the dendrometer band measured with a digital caliper, where that distance changes when the trunk grows. We avoid collecting data during rain, because the instrument is sensitive to humidity. In 2018, the data were collected in April, June, July, August, September, October and November. In 2019, the data were collected in January, February, April, July and October and in 2020 the data were collected in January.
DOI: 10.5285/e24264f8-2821-4d6a-ad77-3688b2c69f24
title: Field spectroscopy and leaf trait data from a field experiment in Surrey [HMTF]

description: The dataset comprises a range of leaf traits, measured from leaf samples collected from trees growing on deep alluvial soils and shallow chalk soils, near Mickleham in Surrey, UK.  Across both sites, leaves were collected from 66 trees, representing six species. The six species common to both sites were: Acer campestre (field maple), Acer pseudoplatanus (sycamore), Corylus avellana (hazel), Crataegus monogyna (hawthorn), Fraxinus excelsior (ash) and Sambucus nigra (elder).     Data were collected under the NERC Human-modified Tropical Forests (HMTF) Programme by the University of Cambridge in 2015.

description: Data were collected from a field site in Surrey, and analysed at the University of Cambridge.  Refer to Supporting Information for further details.
DOI: 10.5517/ccdc.csd.cc27zgf4
title: CCDC 2084856: Experimental Crystal Structure Determination

description: Related Article: Lingyun Zhu|2025|CSD Communication|||
description: Related Article: Lingyun Zhu, Miaofei Huang, Guangchao Han, Zhixiang Wei, Yuanping Yi|2025|Angew.Chem.,Int.Ed.|64|e202413913|doi:10.1002/anie.202413913
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: 10.5285/d5317679-449f-4829-9caf-39973fe27c07
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal abundance in mudflat and saltmarsh habitats

description: The dataset details macrofaunal abundance across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals counted. Values for macrofaunal abundance are expressed as number of individuals per square metre of sediment.

Abundance data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, but only at the 1m scale.

This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.
description: The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).

3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon) and stored in vials containing 70 percent IMS. The individual numbers of each taxa were counted to give abundance data. This was determined by the presence of a head in cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots and their presence noted as YES/NO for abundance). The data were then multiplied by 127.323955 and rounded to the nearest whole individual to give results in metre squared.
DOI: 10.5517/ccdc.csd.cc2n2r5p
title: CCDC 2445502: Experimental Crystal Structure Determination

description: Related Article: Han Chen, Chen-Long Li, Can Liu, Zhenjia Zhang, Junfeng Zhao, Zhi-Xiang Yu|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01948
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.cc2n2r6q
title: CCDC 2445503: Experimental Crystal Structure Determination

description: Related Article: Han Chen, Chen-Long Li, Can Liu, Zhenjia Zhang, Junfeng Zhao, Zhi-Xiang Yu|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01948
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: 10.5285/90dee4ce-187c-4094-8895-b079d29922f5
title: Life history, developmental and morphometric data for individual flies from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster)

description: Data on developmental time, fecundity, morphometrics,  experimental treatment, mating and sampling from an experiment manipulating larval nutrition in female fruit flies (Drosophila melanogaster).
description: The files described in this document contain the data collected in Objective 3, Experiment 3 of NERC project NE/R000875/1. The aim of this experiment was to manipulate the fecundity-longevity relationship in Drosophila melanogaster by changing the larval diet. We had three dietary regimes, treatment 1 (20% SYA(Sugar, Yeast and Agar)), 2 (100% SYA) and 3 (120% SYA), and collected data from adult flies. We collected the following longevity and fecundity data from each individual fly: date of death, every other day egg count, every other day offspring count. For the protocol, see 'Protocol_NER0008751_Objective 3_Experiment 3_v1_2018-05-05.docx'.
DOI: 10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf
title: Land Cover/Land Use maps (30m) for Shivamogga, Sindhudurg and Wayanad, India, 2018

description: This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD), a Zoonotic disease. KFD is an “ecotonal” disease. Diverse forest-plantation mosaics, zone moist evergreen forest and plantation, and low coverage of dry deciduous forest will cause higher risks for KFD. Our LCLU product aimed to separate diverse forest types and plantation and we achieved high accuracy (>90%). The study covers Sindhudurg, Shivamogga, and Wayanad Western Ghats district which belong to Indian state Maharashtra, Karnataka, and Kerala respectively. 
description: The Land Cover/Land Use (LCLU) product was derived from Landsat 8 Operational Land Imager reflectance Tier 1 imagery. The signature was randomly divided into 20% test sample size and 80% sample size. The 80% sample size was further divided into 30% validation sample and 70% training sample and the sampling strategy was carried out randomly for 50 times. Each set of the 70% (training set) and 30% sample (validation set) was used to generate the LCLU and validate it. The final LCLU was a mode of 50 time LCLU and finally the 20% sample was used for testing the accuracy of Mode’s LCLU.
DOI: 10.5517/ccdc.csd.cc2n2r7r
title: CCDC 2445504: Experimental Crystal Structure Determination

description: Related Article: Han Chen, Chen-Long Li, Can Liu, Zhenjia Zhang, Junfeng Zhao, Zhi-Xiang Yu|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01948
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: 10.5285/95ab2233-ed8d-4c32-b82c-ae282ba567f7
title: Two-metre resolution land cover classification of the Akrotiri Peninsular, Cyprus from WorldView imagery 2018

description: This dataset contains land cover classification of the Akrotiri Peninsular of Cyprus, using WorldView Imagery at 2m resolution. Images from March 2018 and July 2018 were used. All the imagery was atmospherically corrected. The thematic detail of the map was generalised to the following main vegetation/cover types: bare, lake, temporary water, salt marsh, rush salt meadow, garrigue, sparse vegetation, grass, mixed woodland, Eucalyptus and Acacia. The cover classes salt marsh and rush salt meadow represent mosaics of vegetation communities. Due to Covid-19 restrictions, ground data collection was severely restricted, resulting in limited training and validation data. 

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: Data was generated using the ENVI Example Based Feature Extraction tool, from the following satellite images: WorldView-3 (WV-3) 1.2m multispectral (8 wavelength bands) from 3rd March 2018 and WorldView-2 (WV-2) 2.0m multispectral (8 wavelength bands) from 6th July 2018. The July imagery was a single image covering the whole Akrotiri peninsular, while the March imagery consisted of two images (east and west of peninsular) originating from different swaths, each with a different viewing angle. All the imagery was atmospherically corrected using the ENVI FLAASH software. For both east and west, the July and March imagery were resampled to ensure consistency in spatial resolution and combined into a single 2m 16 wavelength band image stack. The classification was validated using google maps and local knowledge due to COVID-19 restricting ground data collection.
DOI: 10.5285/c730867f-ffd7-4d2d-9dd0-e2f30a7dbbf6
title: Botanical data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]

description: The data set comprises vegetation species and abundance information, surveyed using a 50 x 50 cm point quadrat, from a selection of the plots within an experimental site at Sourhope, Scotland. The surveys were carried out in the summers of 1998, 1999, 2000, 2001 and 2002.  The data were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630).  During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). 
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).

Data were collected by staff employed by MLURI and were managed by the Centre for Ecology & Hydrology.
DOI: 10.5285/e305fa80-3d38-4576-beef-f6546fad5d45
title: Headwater stream quality metrics from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

description: This data set consists of  headwater stream quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, 'River Habitat Surveys', invertebrates, diatoms and site characteristics. Streams were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained stream features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).

The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.
description: The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.
To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5517/ccdc.csd.cc2n2r8s
title: CCDC 2445505: Experimental Crystal Structure Determination

description: Related Article: Han Chen, Chen-Long Li, Can Liu, Zhenjia Zhang, Junfeng Zhao, Zhi-Xiang Yu|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01948
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: 10.5285/56bae7ce-4798-41a4-b702-2f847952f7ae
title: Charcoal value chain in southern Mozambique

description: This dataset contains the transcripts of interviews on the current structure of the main charcoal supply chains from seven villages in the Mabalane district of Gaza province to Maputo, Mozambique. The seven villages were at different stages of the charcoal production process within similar soils, rainfall, and vegetation types. Semi-structured interviews and focus group discussions were conducted with key informants (e.g. village leaders, charcoal producers, wholesalers, truck drivers and forest officers), from May to October 2014. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme.
description: There were several steps taken in order to guarantee highest possible data quality.

For the interviews with the different actor groups, guidelines with questions in Portuguese were prepared.

Where possible the same assistant/translator was used. Prior to each exercise the translator was informed about the objective of the interview and the way questions should be asked.

By discussing various topics repeatedly with different groups/persons, information could be validated and highlighted from different perspectives. Furthermore, context information gained through interviews, conversations and focus group discussions helped to gradually better focus the interviews.

Usually, the leader of a village was asked to gather a group of people as requested. Focus groups were usually composed of men and women. Everyone was explicitly invited to contribute.

The researcher was always accompanied by a translator/assistant speaking the local language (native speaker). If needed, all questions were translated from Portuguese to Changana and vice versa.

Notes were taken by the lead researcher. Back in office, all notes were written down in English.

After each interview, all information was discussed either with the assistant or a colleague. This helped to improve the understanding of what was said. In case of lack of understanding, clarification was sought via communications with locals.
DOI: 10.5285/87f36a61-ca79-40c6-b781-8936ead162cc
title: Bird community data from Wallacea biogeographic region collected 2018-2020

description: Bird community data from fixed point count stations generated by experienced ornithologists in Borneo and the Wallacean islands of Sulawesi (Buton), Seram, Buru, Talaud and Sangihe. 

Bird surveys were undertaken between 2016 and 2020, with work on any given island lasting ~3 months, except for Borneo where surveys were undertaken across 3 years (2014 – 2016). 

Surveys were repeated four times at each site on Sulawesi (Buton), Seram, Buru and once each on Talaud and Sangihe. The dataset comprises the aggregated counts from multiple surveys of the same point count sites, and assigned to individual bird species, landscape and island.

description: On each island, point counts were implemented of 100 m sampling distance between 06:00 and 10:00 on mornings without rain. Data includes aggregated data from visits to 1,349 point count locations sampled, with point counts lasting 10 minutes on Buru, Seram and Sulawesi (Buton), 15 minutes on Borneo and 20 minutes on Sangihe and Talaud.  Maximum abundances of four counts undertaken on different dates are given for Borneo, Sulawesi (Buton) and Buru, whilst only a single 20-minute count was conducted on Talaud and Sangihe. Methodological details are summarised in Mitchell et al., 2021 Ecography.
DOI: 10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1
title: Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006

description: This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements.
description: A cloud droplet collector and rainwater collector were used to collect samples which were weighed (g) and measured (ml), before taking a sub-sample of 150 ml for ion analysis. The depth of each sample was calculated as the sample volume divided by the cross-sectional area of the funnel used to collect the samples. Samples were analysed by ion chromatography to obtain the combined cloud and rain concentrations and the rain-only concentrations of eight pollutants, which were then used to calculate the deposition of each pollutant. These depositions were then used to calculate the cloud-only depositions and concentrations of each pollutant. Non-marine sulphate concentrations and depositions were derived from sulphate depositions. All formulae used in the above calculations are detailed extensively in the associated supporting document.

This dataset was then reviewed and quality checked by S. Ferguson around 20 years after the original data collection to adapt it into a state suitable for reuse. All excel formulae in the original spreadsheet were checked and the units of the variables were derived from the formulae. The data were then cleaned using an R Studio script, separated into three simplified dataframes, and converted to csv. An ion balance was then conducted as a quality control measure with guidance from J Neil Cape. Any occurrences of large ion imbalances, suspected reporting errors or sample bottle overflows were removed from the dataset and all unusual data thought to have been caused by biological contamination or contamination from wind-blown dust have been flagged. Accounting for missing data from lack of sample collection, partially missing data, and removed data, the percentage completeness of each of the datasets is over 70%.