cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30753347.v2
title: Mechanisms of freshwater zoogeochemistry: A review and meta-analysis of animal impacts on ecosystem function

description: 1. Freshwater ecosystems are under immense pressure from global environmental change. These stressors have led to biogeochemical alterations and rapid rates of defaunation and losses of associated animal-driven ecosystem functions.2. Zoogeochemistry provides a unique perspective on the dual challenges of global change and defaunation in freshwater ecosystems, but zoogeochemical frameworks that explicitly link conservation biology with biogeochemistry have not yet been fully embraced by freshwater ecologists.3. We conducted a systematic review and meta-analysis of the mechanistic roles that animals play in freshwater biogeochemistry, with the aim of advancing the application of zoogeochemistry in freshwaters.4. We reviewed 14 major mechanisms of freshwater zoogeochemistry. Our review shows that a diversity of taxa impact ecosystem-level elemental pools and fluxes, within and across freshwater ecosystem boundaries. However, these effects are not always placed in context at the ecosystem level, which limited the scope of our meta-analysis.5. Zoogeochemical impacts tended to be stronger in wetlands and lakes than streams and estuaries. Consumption, excretion, and respiration had the strongest direct impacts on elemental pools and fluxes; bioturbation, consumption, and egestion had the strongest indirect impacts. These mechanisms often interacted, generating complex influences on elemental pools and fluxes. However, creative experimental designs can be used to isolate individual mechanisms, allowing complex effects with multiple mechanisms to be incorporated into ecosystem models.6. Quantifying and modelling zoogeochemical effects in freshwater ecosystems will allow ecologists and managers to make informed decisions that balance biodiversity conservation with healthy ecosystem function.
DOI: 10.15468/dl.8uaxjc
title: Occurrence Download

description: A dataset containing 17801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.88861 47.95088,0.97977 47.95021,0.97574 48.02455,0.88508 48.02354,0.88861 47.95088))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17801 records from 272 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000173-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17153347
title: Flow cytometry data underlying "Traceable refractive index measurements of liquids to standardize extracellular vesicle flow cytometry"

description: Data set of flow cytometry data and the MIFlowCyt-EV validating the results of "Traceable refractive index measurements of liquids to standardize extracellular vesicle flow cytometry".
DOI: 10.5281/zenodo.17153346
title: Flow cytometry data underlying "Traceable refractive index measurements of liquids to standardize extracellular vesicle flow cytometry"

description: Data set of flow cytometry data and the MIFlowCyt-EV validating the results of "Traceable refractive index measurements of liquids to standardize extracellular vesicle flow cytometry".
DOI: 10.5517/ccdc.csd.cc2j1m18
title: CCDC 2325249: Experimental Crystal Structure Determination

description: Related Article: Songlin Xue, Xiaojuan Lv, Yuting Dong, Tao Zhang, Fengxian Qiu, Jianming Pan, Daiki Kuzuhara, Hiroko Yamada, Naoki Aratani|2024|Chem.-Eur.J.|30|e202402680|doi:10.1002/chem.202402680
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.cc2nszs7
title: CCDC 2466880: Experimental Crystal Structure Determination

description: Related Article: Kunshan Xue, Jia-Nan Gao, Yu Qiu, Heng Wang, Liang-Liang Mao, Huan Cong|2025|Org.Lett.|27|8729|doi:10.1021/acs.orglett.5c02677
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.cc2pl3dt
title: CCDC 2490056: Experimental Crystal Structure Determination

description: Related Article: Poonam Saini, Krishna Kumar M. S., Pritam Mukhopadhyay|2026|J.Org.Chem.|||doi:10.1021/acs.joc.5c02492
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.cc2ptyyf
title: CCDC 2497606: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Richard J. Staples, Jean’ne M. Shreeve|2026|Mater. Chem. Front.|||doi:10.1039/d5qm00880h
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.cc2qf9r7
title: CCDC 2515239: Experimental Crystal Structure Determination

description: Related Article: Yuehui Wang, Lele Wen, Lin Ling, Chunhui Xing, Long Lu|2026|Chem.Commun.|||doi:10.1039/d6cc00009f
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.cc2qxjx3
title: CCDC 2529876: Experimental Crystal Structure Determination

description: Related Article: Gaozhang Gou|2026|Dyes Pigm.|11|11111|doi:10.1016/j.dyepig.2026
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.cc2qt2bz
title: CCDC 2526541: Experimental Crystal Structure Determination

description: Related Article: Michael Ciesielski, Helmar Görls, Manfred Döring|2026|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: 10.5517/ccdc.csd.cc2qv3d3
title: CCDC 2527535: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Manfred Döring|2026|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: 10.5517/ccdc.csd.cc2qv3sh
title: CCDC 2527547: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Manfred Döring|2026|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: 10.5517/ccdc.csd.cc2qv41s
title: CCDC 2527555: Experimental Crystal Structure Determination

description: Related Article: Helmar Görls, Manfred Döring|2026|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: 10.15468/dl.jdtq7j
title: Occurrence Download

description: A dataset containing 56404 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((53.95431 26.35651,56.92048 26.35651,56.92048 27.91933,53.95431 27.91933,53.95431 26.35651))"
 ]
}

 The dataset includes 56404 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000077-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7807/immo:red:hm:v14
title: RWI Real Estate Data - Houses for Rent - (SUF On-site)
title: SUF On-site

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell.
description: Sampled Universe: All houses for sale at ImmobilienScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Number of Units: 1,577,058
description: RWI-GEO
DOI: 10.5281/zenodo.18772923
title: Different patterns of lifestyles, socio-demography, clinical patterns, and cardiovascular health awareness among women. Results from the "Call for Women" population-based survey
DOI: 10.5281/zenodo.18772924
title: Different patterns of lifestyles, socio-demography, clinical patterns, and cardiovascular health awareness among women. Results from the "Call for Women" population-based survey
DOI: 10.5281/zenodo.18772975
title: THE CONCEPT AND CHARACTERISTICS OF CYBERCRIMES

description: This scientific article discusses the concept and features of the so-called "cybercrime". The main problems associated with cybercrime are analyzed, the psychological features of cybercrime are considered, and the characteristics of the cybercriminal's personality are given.
DOI: 10.5281/zenodo.18772976
title: THE CONCEPT AND CHARACTERISTICS OF CYBERCRIMES

description: This scientific article discusses the concept and features of the so-called "cybercrime". The main problems associated with cybercrime are analyzed, the psychological features of cybercrime are considered, and the characteristics of the cybercriminal's personality are given.
DOI: 10.5281/zenodo.18594964
title: Input data collection for the PhenoPhaseR model

description: Description

This dataset provides the spatial and climatological input files (Phenological station network, weather grid, interpolated daily mean temperatures, and digital elevation model for Germany) required to run the PhenoPhaseR model for the Germany-wide interpolation of crop phenological phase entry dates at 1 × 1 km² resolution. The collection contains four core components:

PHENO_STATION_EPSG31467.shp



Point shapefile of the DWD phenological observation network in Germany, projected in EPSG:31467.

Each feature represents a phenological station. The station locations serve as ground-truth sites at which observed phenological phase entry dates (day-of-year) are recorded by volunteer observers following DWD phase definitions aligned with the BBCH scale (https://doi.org/10.5194/asr-11-93-2014).


WEATHER_GRID_EPSG31467.shp



Polygon shapefile representing a Germany-wide grid of 1 × 1 km², projected in EPSG:31467.

These grid cells define the spatial target locations for the temperature input data sets (https://doi.org/10.2314/KXP:1764885848).


tmit_[YEAR].csv



Yearly CSV files containing daily mean air temperatures (°C) interpolated onto the WEATHER_GRID locations, projected in EPSG:31467



no header

column 1 contains the GRID_ID for linking to the 1 km DWD weather grid (Shapefile WEATHER_GRID_EPSG31467.shp).

columns 2 to 366 contain the daily temperature values

values are stored as integers in the format “degrees Celsius multiplied by 10.”



DWD temperature interpolation approach Overlapping circular sub-regions are formed around DWD climate stations (st), and within each sub-region a local multiple linear regression is fitted that relates measured temperature M to station elevation h, geographic latitude b, longitude l, and, for temperature elements, the water fraction w in the surrounding area. The regression constants K from neighbouring sub-regions are arithmetically averaged onto each grid cell, yielding a spatially continuous and smooth temperature field without discontinuities: 


M(st)=K1+K2⋅h(st)+K3⋅b(st)+K4⋅l(st) [+K5⋅w(st)]

DGM1000_EPSG25832.asc



Digital elevation model raster file of Germany at 1 x 1 km² resolution (DGM1000), provided by Bundesamt für Kartographie und Geodäsie (https://gdz.bkg.bund.de/) and projected in EPSG:25832, used as a covariate in the spatial prediction of phenological phase entry dates.

Elevation is a key predictor because temperature - and thus phenological timing - strongly depends on altitude.


Context and Usage

These input files feed into the PhenoPhaseR workflow (10.5281/zenodo.18743009) that:





Downloads and filters DWD phenological observations.




Computes effective temperature sums (GDD) on the weather grid.




Determines critical temperature thresholds per crop phase through optimisation.




Spatially interpolates phenological entry dates using geostatistical interpolation techniques.



The resulting output is a Germany-wide, spatio-temporally consistent time series of interpolated phenological phase entry dates for major crop types.
DOI: 10.5281/zenodo.18594963
title: Input data collection for the PhenoPhaseR model

description: Description

This dataset provides the spatial and climatological input files (Phenological station network, weather grid, interpolated daily mean temperatures, and digital elevation model for Germany) required to run the PhenoPhaseR model for the Germany-wide interpolation of crop phenological phase entry dates at 1 × 1 km² resolution. The collection contains four core components:

PHENO_STATION_EPSG31467.shp



Point shapefile of the DWD phenological observation network in Germany, projected in EPSG:31467.

Each feature represents a phenological station. The station locations serve as ground-truth sites at which observed phenological phase entry dates (day-of-year) are recorded by volunteer observers following DWD phase definitions aligned with the BBCH scale (https://doi.org/10.5194/asr-11-93-2014).


WEATHER_GRID_EPSG31467.shp



Polygon shapefile representing a Germany-wide grid of 1 × 1 km², projected in EPSG:31467.

These grid cells define the spatial target locations for the temperature input data sets (https://doi.org/10.2314/KXP:1764885848).


tmit_[YEAR].csv



Annual CSV files containing daily mean air temperatures (°C), interpolated to WEATHER_GRID locations, projected in EPSG:31467, for the period between 1992 and 2024.



no header

column 1 contains the GRID_ID for linking to the 1 km DWD weather grid (Shapefile WEATHER_GRID_EPSG31467.shp).

columns 2 to 366 contain the daily temperature values

values are stored as integers in the format “degrees Celsius multiplied by 10.”



DWD temperature interpolation approach Overlapping circular sub-regions are formed around DWD climate stations (st), and within each sub-region a local multiple linear regression is fitted that relates measured temperature M to station elevation h, geographic latitude b, longitude l, and, for temperature elements, the water fraction w in the surrounding area. The regression constants K from neighbouring sub-regions are arithmetically averaged onto each grid cell, yielding a spatially continuous and smooth temperature field without discontinuities: 


M(st)=K1+K2⋅h(st)+K3⋅b(st)+K4⋅l(st) [+K5⋅w(st)]

DGM1000_EPSG25832.asc



Digital elevation model raster file of Germany at 1 x 1 km² resolution (DGM1000), provided by Bundesamt für Kartographie und Geodäsie (https://gdz.bkg.bund.de/) and projected in EPSG:25832, used as a covariate in the spatial prediction of phenological phase entry dates.

Elevation is a key predictor because temperature - and thus phenological timing - strongly depends on altitude.


Context and Usage

These input files feed into the PhenoPhaseR workflow (10.5281/zenodo.18743009) that:





Downloads and filters DWD phenological observations.




Computes effective temperature sums (GDD) on the weather grid.




Determines critical temperature thresholds per crop phase through optimisation.




Spatially interpolates phenological entry dates using geostatistical interpolation techniques.



The resulting output is a Germany-wide, spatio-temporally consistent time series of interpolated phenological phase entry dates for major crop types.
DOI: 10.7807/immo:red:hk:suf:v14
title: RWI Real Estate Data - Houses for Sale - (SUF Off-site)
title: SUF Off-site

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell. 
description: Sampled Universe: All houses for sale at ImmobilienScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased

description: Unit Type: HousingUnit

Number of Units: 19,861,646
description: RWI-GEO
DOI: 10.25824/redu/tgbnro
title: Tendência temporal das taxas de nascidos vivos em adolescentes em âmbito nacional, regional e local (2000–2023)

description: Análise de dados secundários provenientes do Sistema de Informação de Nascidos Vivos (SINASC), fornecido pelo Departamento de Informática do Sistema Único de Saúde (DATASUS) junto a dados do IBGE. E posterior disposição em tabelas para análise de tendência.
DOI: 10.5281/zenodo.18773015
title: LINF_340011300

description: Translation factor GUF1 homolog, mitochondrial; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18773014
title: LINF_340011300

description: Translation factor GUF1 homolog, mitochondrial; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18773035
title: UNDERSTANDING THE PSYCHOLOGICAL FACTORS AFFECTING ESL LEARNERS

description: In an increasingly globalized world, the ability to communicate in English has become more important than ever. For many, English as a Second Language (ESL) is not just a skill but a key to unlocking opportunities in education, career advancement, and social integration. However, the journey of mastering a new language is often marred by psychological factors that significantly influence learners' motivation, confidence, and overall success. Understanding these factors can be crucial for educators, learners, and policymakers aiming to improve ESL instruction and support.
DOI: 10.34636/dmportal/ivw0nw/fc6fr3
title: emo-bon_vfdb_megares.tar.gz

description: 724 alignment files in root directory
DOI: 10.5281/zenodo.18773036
title: UNDERSTANDING THE PSYCHOLOGICAL FACTORS AFFECTING ESL LEARNERS

description: In an increasingly globalized world, the ability to communicate in English has become more important than ever. For many, English as a Second Language (ESL) is not just a skill but a key to unlocking opportunities in education, career advancement, and social integration. However, the journey of mastering a new language is often marred by psychological factors that significantly influence learners' motivation, confidence, and overall success. Understanding these factors can be crucial for educators, learners, and policymakers aiming to improve ESL instruction and support.
DOI: 10.11588/duerer.online.699f0a58c1591
title: Drei livländische Frauen, https://d-nb.info/gnd/1199020826
DOI: 10.7807/immo:red:hk:v14
title: RWI Real Estate Data - Houses for Sale - (SUF On-site)
title: SUF On-site

description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell. 
description: Sampled Universe: All houses for sale at ImmobilienScout24

Sampling: Full sample
description: Collection Mode: Observation.ComputerBased
description: Unit Type: HousingUnit

Numer of Units: 19,861,646
description: RWI-GEO
DOI: 10.7910/dvn/c0puhp
title: The Anatomy of Resistance Campaigns Data, Version 2.0

description: The Anatomy of Resistance Campaigns (ARC) 2.0 dataset records the participation of 2,582 formal organizations in 32,131 protest events in Africa, Latin America and the Caribbean from 1990 to 2017. These include what are called maximalist events, as well as reformist events. The data provide information on event demands, participation, and organization-features such as type, goals, birth date, year of termination, and interorganizational alliances. These data enable researchers to study the differential outcomes of protest episodes with or without organizational presence.
DOI: 10.15468/dl.ewsawd
title: Occurrence Download

description: A dataset containing 1284295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Paleobiology Database",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1284295 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000155-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2q4gk6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoglossa membranacea C.B.Clarke"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033759-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yonvit
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095970-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.