cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28579823
title: Assessing in-situ physico chemical parameters variability of springs in mid-hill region of Nepal

description: Springs function in the hydrological cycle as natural outflows for groundwater systems and provide reliable potable water for communities. This study evaluates the physico chemical characteristics of 168 perennial springs that fluctuate seasonally across various geological settings (carbonate and non-carbonate dominant lithology), landcovers (cropland, forest, grassland), and elevation categories (Classes I, II, III) within the Seti Khola Watershed in the mid-hills of Nepal. It focuses on on-site physico chemical measurements, including electrical conductivity, total dissolved solids, pH, oxidation-reduction potential, dissolved oxygen, and temperature. Primary data from field measurements of spring attributes and remote sensing, including Landsat-8 OLI satellite imagery, examined the relationship between land surface and spring water temperature. Results show higher precipitation during the wet season dilutes solutes, enhancing dissolved oxygen levels, while the dry season’s higher evaporation rates concentrate solutes. The study highlights variable pH levels in non-carbonate regions, correlating with lower oxidation-reduction potential values. Carbonate terrain promotes stable and higher pH and oxidation-reduction potential values. Higher elevations correlate with lower temperatures and varying landcover, affecting thermal regimes. Seasonal interplay highlights the importance of fundamental hydrogeochemical characteristics in the context of natural processes and anthropogenic influences.
DOI: 10.6084/m9.figshare.30862629
title: Spatiotemporal variation of ecosystem metabolism in a eutrophic, polymictic reservoir: Water column stability begets metabolism stability

description: Reservoirs are globally important aquatic ecosystems that provide critical anthropogenic functions including water storage, flood control, and fisheries, yet their ecosystem metabolism remains understudied compared to natural lakes. We estimated daily lake metabolism (net ecosystem production [NEP], gross primary production [GPP], and ecosystem respiration [R]) at nine locations throughout Clinton Lake, a temperate, hypereutrophic, polymictic reservoir in Kansas, USA, during the 2024 growing season. Using dissolved oxygen monitoring and Bayesian hierarchical generalized additive mixed models, we assessed spatiotemporal variation in metabolism and relationships with environmental predictors including thermal stratification, temperature, wind, and phytoplankton pigment data. Clinton Lake exhibited dynamic metabolism with frequent daily alternations between autotrophy and heterotrophy, resulting in near-zero mean NEP (0.01 mg O₂ L⁻¹ d⁻¹) across the study period. All metabolism components showed strong seasonal patterns, with GPP and R magnitudes increasing throughout the growing season. Temporal variation dominated over spatial variation in all metabolism metrics, but modest site-level effects were present in both GPP and R models. Thermal stratification emerged as a main driver of metabolism variability. Stronger stratification was associated with higher GPP and R rates, while changes in stratification strength corresponded to directional changes in NEP: stratification events promoted autotrophy, while destratification promoted heterotrophy. We suggest the coupling between metabolism and stratification is driven by the dominance of buoyant cyanobacteria controlling oxygen dynamics near the surface. Our results suggest that Great Plains reservoirs can function as highly dynamic ecosystems where wind-driven mixing regimes precede nutrients or light for the primary control of metabolic processes. The frequent stratification-destratification cycles characteristic of polymictic systems create spatiotemporally variable ecosystem function. These findings provide critical baseline understanding for monitoring future changes in reservoir ecosystems and highlight the importance of physical forcing in structuring metabolism in engineered aquatic systems.
DOI: 10.6084/m9.figshare.30862629.v1
title: Spatiotemporal variation of ecosystem metabolism in a eutrophic, polymictic reservoir: Water column stability begets metabolism stability

description: Reservoirs are globally important aquatic ecosystems that provide critical anthropogenic functions including water storage, flood control, and fisheries, yet their ecosystem metabolism remains understudied compared to natural lakes. We estimated daily lake metabolism (net ecosystem production [NEP], gross primary production [GPP], and ecosystem respiration [R]) at nine locations throughout Clinton Lake, a temperate, hypereutrophic, polymictic reservoir in Kansas, USA, during the 2024 growing season. Using dissolved oxygen monitoring and Bayesian hierarchical generalized additive mixed models, we assessed spatiotemporal variation in metabolism and relationships with environmental predictors including thermal stratification, temperature, wind, and phytoplankton pigment data. Clinton Lake exhibited dynamic metabolism with frequent daily alternations between autotrophy and heterotrophy, resulting in near-zero mean NEP (0.01 mg O₂ L⁻¹ d⁻¹) across the study period. All metabolism components showed strong seasonal patterns, with GPP and R magnitudes increasing throughout the growing season. Temporal variation dominated over spatial variation in all metabolism metrics, but modest site-level effects were present in both GPP and R models. Thermal stratification emerged as a main driver of metabolism variability. Stronger stratification was associated with higher GPP and R rates, while changes in stratification strength corresponded to directional changes in NEP: stratification events promoted autotrophy, while destratification promoted heterotrophy. We suggest the coupling between metabolism and stratification is driven by the dominance of buoyant cyanobacteria controlling oxygen dynamics near the surface. Our results suggest that Great Plains reservoirs can function as highly dynamic ecosystems where wind-driven mixing regimes precede nutrients or light for the primary control of metabolic processes. The frequent stratification-destratification cycles characteristic of polymictic systems create spatiotemporally variable ecosystem function. These findings provide critical baseline understanding for monitoring future changes in reservoir ecosystems and highlight the importance of physical forcing in structuring metabolism in engineered aquatic systems.
DOI: 10.6084/m9.figshare.30862635
title: Extreme weather events strongly influence chironomid structure even in an artificially regulated reservoir

description: Interest in climate change-related water level fluctuations and their effects on aquatic communities has increased. Chironomids are reliable indicators of extreme conditions, yet it remains unclear whether climate-induced compositional changes occur in lakes with artificially regulated water levels, such as Lake Tisza. We studied the direct and indirect effects of hydrological extremes and climatic factors on chironomid assemblages from 2009 to 2022, hypothesising that extremes drive compositional shifts and reduced diversity, with indirect effects more pronounced. Results confirmed this, revealing a remarkable assemblage change over 14 years. Flooding during the vegetation period significantly altered habitat diversity, causing notable structural changes in chironomid assemblages. Compositional variability was more closely linked to environmental variables than to discharge or climatic variables. Oligotrophication emerged as the main driver of long-term trends. Diversity responded to environmental changes, declining after summer floods, but recovery was rapid, with no lasting diversity loss despite structural shifts. Projected increases in climate extremes suggest further alterations in chironomid composition and diversity. These processes may ultimately affect the food web and compromise the lake’s conservation function.
DOI: 10.6084/m9.figshare.30862635.v1
title: Extreme weather events strongly influence chironomid structure even in an artificially regulated reservoir

description: Interest in climate change-related water level fluctuations and their effects on aquatic communities has increased. Chironomids are reliable indicators of extreme conditions, yet it remains unclear whether climate-induced compositional changes occur in lakes with artificially regulated water levels, such as Lake Tisza. We studied the direct and indirect effects of hydrological extremes and climatic factors on chironomid assemblages from 2009 to 2022, hypothesising that extremes drive compositional shifts and reduced diversity, with indirect effects more pronounced. Results confirmed this, revealing a remarkable assemblage change over 14 years. Flooding during the vegetation period significantly altered habitat diversity, causing notable structural changes in chironomid assemblages. Compositional variability was more closely linked to environmental variables than to discharge or climatic variables. Oligotrophication emerged as the main driver of long-term trends. Diversity responded to environmental changes, declining after summer floods, but recovery was rapid, with no lasting diversity loss despite structural shifts. Projected increases in climate extremes suggest further alterations in chironomid composition and diversity. These processes may ultimately affect the food web and compromise the lake’s conservation function.
DOI: 10.15468/dl.8e4pxq
title: Occurrence Download

description: A dataset containing 1432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Vitex gaumeri"
 ]
}

 The dataset includes 1432 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047782-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jvgm3
title: Occurrence Download

description: A dataset containing 6952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chelonoidis denticulatus, Podocnemis expansa)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6952 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047781-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hqjxqa
title: "Human Development, Income, Inequality, and Democracy"

description: First of all, we would like to greet you on behalf of the research team and also present the preliminary article entitled: “Human Development, Income, Inequality, and Democracy” prepared by Luis Varona and Jorge R. Gonzales. Our greatest contribution would be to find evidence with annual data for the Peruvian that there is a positive relationship between economic growth and human development. Income distribution and the style of democracy have a statistically significant negative and positive impact on human development, respectively.

Second, this work uses an Error Correction Econometric Model (ARDL-ECM) to test the hypotheses, where we can see how the causal relationships behave and whether the model cointegrates, demonstrating a long-term relationship between the variables of the model: the endogenous variable with its exogenous variables.

The information on the variables in the index is presented, such as: human development, GDP, Gini, electoral, liberal, participatory, and egalitarian democracy, and Covid19 event, in the file called: "Dataset_human_development".
DOI: 10.5517/ccdc.csd.cc1z4wqq
title: CCDC 1821954: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Klapötke, Burkhard Krumm, Thomas Reith|2018|Propellants,Explos.,Pyrotech.|43|685|doi:10.1002/prep.201800083
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.cc1z821c
title: CCDC 1825002: Experimental Crystal Structure Determination

description: Related Article: Widhalm, Michael, Tharamak, Sorachat, Knittl-Frank, Christian, Manaprasertsak, Auraya, Pengsook, Anchulee, Suchy, Lydia, Schuller, Philipp, Happl, Barbara, Roller, Alexander|2018|Molecules|23|750|
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.cc1z822d
title: CCDC 1825003: Experimental Crystal Structure Determination

description: Related Article: Widhalm, Michael, Tharamak, Sorachat, Knittl-Frank, Christian, Manaprasertsak, Auraya, Pengsook, Anchulee, Suchy, Lydia, Schuller, Philipp, Happl, Barbara, Roller, Alexander|2018|Molecules|23|750|
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.cc1z823f
title: CCDC 1825004: Experimental Crystal Structure Determination

description: Related Article: Widhalm, Michael, Tharamak, Sorachat, Knittl-Frank, Christian, Manaprasertsak, Auraya, Pengsook, Anchulee, Suchy, Lydia, Schuller, Philipp, Happl, Barbara, Roller, Alexander|2018|Molecules|23|750|
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.cc1z824g
title: CCDC 1825005: Experimental Crystal Structure Determination

description: Related Article: Widhalm, Michael, Tharamak, Sorachat, Knittl-Frank, Christian, Manaprasertsak, Auraya, Pengsook, Anchulee, Suchy, Lydia, Schuller, Philipp, Happl, Barbara, Roller, Alexander|2018|Molecules|23|750|
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.cc21r8fj
title: CCDC 1899197: Experimental Crystal Structure Determination

description: Related Article: Priti Kumari, Ghanshyam Tiwari, Chintam Narayana, Ram Sagar|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c03991
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.cc21ylf1
title: CCDC 1905273: Experimental Crystal Structure Determination

description: Related Article: Masayuki Iwabuchi, Miku Yoshida, Daichi Ando, Shigeki Mori, Tetsuo Okujima, Ryuta Sekiguchi, Shunji Ito, Masafumi Yasunami, Taku Shoji|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c01664
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.cc23xcn2
title: CCDC 1963684: Experimental Crystal Structure Determination

description: Related Article: Cong Wang, Yinghui Lu, Zhiyuan Peng, Chi Zhang, Qingchao Liu, Xue-Qiang Wang, Tiezheng Jia|2025|CCS Chem.|7|1783|doi:10.31635/ccschem.024.202404703
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.cc23xcp3
title: CCDC 1963685: Experimental Crystal Structure Determination

description: Related Article: Cong Wang, Yinghui Lu, Zhiyuan Peng, Chi Zhang, Qingchao Liu, Xue-Qiang Wang, Tiezheng Jia|2025|CCS Chem.|7|1783|doi:10.31635/ccschem.024.202404703
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.cc249bd6
title: CCDC 1975177: Experimental Crystal Structure Determination

description: Related Article: Jungwoo Hong, Jaewook Kim, Jintaek Gong, Seoneun Jeong, Yi Sak Park, Sung Hyun Yoo, Jin Kim, Hee-Seung Lee|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c13858
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.cc258ckd
title: CCDC 2004043: Experimental Crystal Structure Determination

description: Related Article: Jungwoo Hong, Jaewook Kim, Jintaek Gong, Seoneun Jeong, Yi Sak Park, Sung Hyun Yoo, Jin Kim, Hee-Seung Lee|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c13858
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.cc259wlz
title: CCDC 2005501: Experimental Crystal Structure Determination

description: Related Article: Ghodrat Mahmoudi, Saikat Kumar Seth, Antonio Bauzá, Fedor I. Zubkov, Antonio Frontera|2020|Crystals|10|568|doi:10.3390/cryst10070568
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.cc259wm0
title: CCDC 2005502: Experimental Crystal Structure Determination

description: Related Article: Ghodrat Mahmoudi, Saikat Kumar Seth, Antonio Bauzá, Fedor I. Zubkov, Antonio Frontera|2020|Crystals|10|568|doi:10.3390/cryst10070568
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.cc26rn2q
title: CCDC 2048513: Experimental Crystal Structure Determination

description: Related Article: Jungwoo Hong, Jaewook Kim, Jintaek Gong, Seoneun Jeong, Yi Sak Park, Sung Hyun Yoo, Jin Kim, Hee-Seung Lee|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c13858
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.cc2n4c6d
title: CCDC 2447053: Experimental Crystal Structure Determination

description: Related Article: Yucheng Cui, Xinyan Liu, Wengui Duan, Guishan Lin, Youqiong Bi, Ziruo Ye|2026|J.Mol.Struct.|1353||doi:10.1016/j.molstruc.2025.144713
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.cc2n6fs3
title: CCDC 2449055: Experimental Crystal Structure Determination

description: Related Article: Yao Xiao, Annika L. Bartelt, Elisabeth Irran, Martin Oestreich|2025|Angew.Chem.,Int.Ed.|64|e202515234|doi:10.1002/anie.202515234
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.cc2n7c1b
title: CCDC 2449931: Experimental Crystal Structure Determination

description: Related Article: Alexis Alvarez-Zúñiga, Itzel Dionisio-de la Rosa, Victor Sánchez-Mendieta, Alan Peñaloza-Garduño, Diego Martínez-Otero, Jonathan Jaramillo-García, Antonio Téllez-López, Luis D. Rosales-Vázquez, Roberto Escudero|2025|Z.Anorg.Allg.Chem.|651|e202500113|doi:10.1002/zaac.202500113
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.cc2n7c2c
title: CCDC 2449932: Experimental Crystal Structure Determination

description: Related Article: Alexis Alvarez-Zúñiga, Itzel Dionisio-de la Rosa, Victor Sánchez-Mendieta, Alan Peñaloza-Garduño, Diego Martínez-Otero, Jonathan Jaramillo-García, Antonio Téllez-López, Luis D. Rosales-Vázquez, Roberto Escudero|2025|Z.Anorg.Allg.Chem.|651|e202500113|doi:10.1002/zaac.202500113
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.