cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18280299
title: Passive cooling to mitigate climate-induced performance losses in photovoltaics

description: Accelerating climate change is intensifying thermal stress on solar photovoltaics, as their efficiency and yield are directly constrained by rising ambient temperatures and increasing exposure to extreme heat. Scalable and robust thermal management strategies are therefore essential to sustain power generation and enhance the climate resilience of solar energy systems under current and future warming. Here, we assess three hydrogel-based passive cooling configurations across 2,539 utility-scale photovoltaic sites in China to mitigate temperature-induced losses across diverse climatic zones. The Hydrogel Cooling with Water Supply system delivers the most substantial and geographically variable benefits, with average temperature reductions approaching 12 °C in hot arid-steppe regions. Across all stations, the mean equivalent capacity gain reaches 38.80 GW, with an associated mitigation potential of 47.30 Mt CO₂, while individual stations exhibit electricity yield increases of up to 10.06%. Economic assessment indicates this configuration achieves the shortest payback period of 2.3 years. Under projected future climate scenarios, passive cooling continues to regulate cell temperature despite changes in irradiance patterns. Together, these findings highlight cell temperature as a persistent constraint on photovoltaic performance and identify passive cooling as a long-term practical pathway to enhance photovoltaic resilience, supporting climate mitigation and adaptation in a warming world.

The code for this manuscript has been archived on GitHub under the tag CodeReview-v1 Access to this tag will be provided for peer review, and full public release will follow acceptance of the manuscript.

The data are provided for peer review purposes only via DataReview-v1,and will be made publicly available upon acceptance of the manuscript.

The 2539 stations dataset is collected from "Feng, Q. L. et al. A 10-m national-scale map of ground-mounted photovoltaic power stations in China of 2020. Sci Data 11 (2024). https://doi.org:10.1038/s41597-024-02994-x"
DOI: 10.5281/zenodo.18301080
title: Pseudananas sagenarius (Arruda) Camargo. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.5281/zenodo.18276819
title: CSF30: a new China settlement footprint dataset of 1990-2020 using Landsat imagery

description: Introduction

Accurate, long-term mapping of human settlement footprints is fundamental to understanding urbanization, human-environment interactions, and sustainable development. Existing medium-resolution products primarily capture the built-up core of settlements and often overlook the heterogeneity of land cover types within these settlements. In this study, we introduce the China Settlement Footprint 1990-2020 (CSF30) dataset, the first nationwide, long-term product explicitly designed to depict complete settlement entities from Landsat imagery. CSF30 is generated by implementing our previously proposed Entity-Based Image Analysis (EBIA) framework with a deep learning (DL) architecture. Applied to Landsat imagery, this approach generated settlement maps for China at five-year intervals from 1990 to 2020. Comprehensive validation using multiple independent datasets shows that CSF30 achieves a mean F1-score of 0.91 throughout the study period. Compared with other settlement products, CSF30 demonstrates clear advantages over existing medium-resolution products in capturing the spatial footprint and temporal evolution of settlements, particularly in rural and peri-urban areas. Furthermore, at the national scale, CSF30 revealed that settlements within 2020 urban areas expanded at a rate of 0.27 million hectares (mha) per year. For settlements outside 2020 urban areas, they exhibited diverse evolutionary pathways, including expansion, disappearance, and emergence with a rate of 0.25, 0.01, 0.1 mha per year, respectively. CSF30 provides a critical, high-quality baseline for research on China’s urbanization trajectory, ecological and environmental impact assessment, and progress toward Sustainable Development Goals (SDGs). 

Data description

This product is generated using Landsat collection 2 surface reflectance images. The data contains seven GeoTIFF files representing the China's settlement footprints in seven mapping years from 1990 to 2020 at five-year intervals. A pixel value of 1 represents a settlement, while a pixel value of 0 represents a non-settlement.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (no. 42401474), the Otto Poon Research Institute for Climate-Resilient Infrastructure (no. N-ZH8Q) and the Hong Kong Polytechnic University (nos. 4-ZZVP and 1-WZC2).
DOI: 10.5281/zenodo.18276818
title: CSF30: a new China settlement footprint dataset of 1990-2020 using Landsat imagery

description: Introduction

Accurate, long-term mapping of human settlement footprints is fundamental to understanding urbanization, human-environment interactions, and sustainable development. Existing medium-resolution products primarily capture the built-up core of settlements and often overlook the heterogeneity of land cover types within these settlements. In this study, we introduce the China Settlement Footprint 1990-2020 (CSF30) dataset, the first nationwide, long-term product explicitly designed to depict complete settlement entities from Landsat imagery. CSF30 is generated by implementing our previously proposed Entity-Based Image Analysis (EBIA) framework with a deep learning (DL) architecture. Applied to Landsat imagery, this approach generated settlement maps for China at five-year intervals from 1990 to 2020. Comprehensive validation using multiple independent datasets shows that CSF30 achieves a mean F1-score of 0.91 throughout the study period. Compared with other settlement products, CSF30 demonstrates clear advantages over existing medium-resolution products in capturing the spatial footprint and temporal evolution of settlements, particularly in rural and peri-urban areas. Furthermore, at the national scale, CSF30 revealed that settlements within 2020 urban areas expanded at a rate of 0.27 million hectares (mha) per year. For settlements outside 2020 urban areas, they exhibited diverse evolutionary pathways, including expansion, disappearance, and emergence with a rate of 0.25, 0.01, 0.1 mha per year, respectively. CSF30 provides a critical, high-quality baseline for research on China’s urbanization trajectory, ecological and environmental impact assessment, and progress toward Sustainable Development Goals (SDGs). 

Data description

This product is generated using Landsat collection 2 surface reflectance images. The data contains seven GeoTIFF files representing the China's settlement footprints in seven mapping years from 1990 to 2020 at five-year intervals. A pixel value of 1 represents a settlement, while a pixel value of 0 represents a non-settlement.

Acknowledgments

This study was supported by the National Natural Science Foundation of China (no. 42401474), the Otto Poon Research Institute for Climate-Resilient Infrastructure (no. N-ZH8Q) and the Hong Kong Polytechnic University (nos. 4-ZZVP and 1-WZC2).
DOI: 10.5281/zenodo.18301079
title: Pseudananas sagenarius (Arruda) Camargo. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:53
DOI: 10.15468/dl.q2d3un
title: Occurrence Download

description: A dataset containing 18517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Zostera marina",
 "Year 2008-2026"
 ]
}

 The dataset includes 18517 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020644-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwqnpk
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Clinopodium acinos, Satureja acinos, Calamintha acinos, Calamintha acinos, Acinos arvensis)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 208 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020645-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wgu3j
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olivaichthys mesembrinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020646-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18300967
title: Marginal Fermi liquids Spectral Functions
DOI: 10.5281/zenodo.18300966
title: Marginal Fermi liquids Spectral Functions
DOI: 10.15468/dl.x2a3dm
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnorimosphaeroma ovatum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 209 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020649-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2xkgfm
title: Occurrence Download

description: A dataset containing 752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa mairei, Rosa omeiensis, Rosa sericea, Rosa sericea, Rosa sikangensis, Rosa sericea, Pyrus betulifolia, Malus rockii, Malus, Malus toringoides, Rubus biflorus, Rubus alexeterius acaenocalyx, Geum elatum, Geum elatum leiocarpum, Ribes orientale, Spiraea schneideriana, Spiraea canescens, Spiraea alpina, Spiraea tibetica, Spiraea mollifolia, Fraxinus rhynchophylla, Syringa microphylla, Syringa vulgaris, Jasminum officinale tibeticum, Jasminum stephanense, Arisaema elephas, Arisaema flavum, Lloydia serotina, Fritillaria delavayi, Milula spicata, Crocosmia crocosmiiflora, Cypripedium macranthos, Herminium monorchis, Herminium alaschanicum, Herminium pugioniforme, Neottianthe pseudodiphylax, Peristylus elisabethae, Hydrilla verticillata, Eragrostis minor, Eragrostis nigra, Orinus thoroldii, Tripogon hookerianus, Chloris virgata, Aristida alpina, Aristida tsangpoensis, Festuca nitidula, Festuca ovina, Festuca, Bromus sinensis, Bromus japonicus, Roegneria anthosachnoides, Roegneria breviglumis, Roegneria nutans, Roegneria thoroldiana, Elymus tangutorum, Trisetum clarkei, Trisetum spicatum, Trisetum spicatum tibeticum, Sinochasea trigyna, Agrostis subaristata, Agrostis gigantea, Phleum alpinum, Polypogon fugax, Beckmannia syzigachne, Oryzopsis lateralis, Trikeraia hookeri, Trikeraia hookeri, Ptilagrostis dichotoma, Digitaria ischaemum, Digitaria cruciata, Arundinella yunnanensis, Bothriochloa ischaemum, Andropogon yunnanensis, Cymbopogon tibeticus, Bulbostylis densa, Cyperus cuspidatus)",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "DecimalLongitude is greater than or equal to 89.5",
 "DecimalLongitude is less than or equal to 93",
 "DecimalLatitude is greater than or equal to 29",
 "DecimalLatitude is less than or equal to 31"
 ]
}

 The dataset includes 752 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020650-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18301077
title: SAYYORA SAMANDAROVA IJODIDA QALAM VA QALB UYG'UNLIGI

description: Xorazm adabiy muhiti ko‘pgina serqirra ijodkorlarga boy. Ular nafaqat voha doirasida, balki butun bir Turon zaminini madh etuvchi ijod namunalarini yaratgan holda barakali qalam tebratib kelishmoqda. Ushbu maqolada ana shunday iste’dodli shoiralardan biri bo‘lgan Sayyora Samandarova she’riyatidagi inson qalbini junbishga keltiruvchi o‘xshashi yo‘q go‘zal jumlalar tahlilga tortiladi, qiyoslanadi.
DOI: 10.5281/zenodo.18301078
title: SAYYORA SAMANDAROVA IJODIDA QALAM VA QALB UYG'UNLIGI

description: Xorazm adabiy muhiti ko‘pgina serqirra ijodkorlarga boy. Ular nafaqat voha doirasida, balki butun bir Turon zaminini madh etuvchi ijod namunalarini yaratgan holda barakali qalam tebratib kelishmoqda. Ushbu maqolada ana shunday iste’dodli shoiralardan biri bo‘lgan Sayyora Samandarova she’riyatidagi inson qalbini junbishga keltiruvchi o‘xshashi yo‘q go‘zal jumlalar tahlilga tortiladi, qiyoslanadi.
DOI: 10.5281/zenodo.11172815
title: MDD-Molecular Dynamics Dataset: Collection of protein-ligand complex simulations

description: Dataset is part of the paper: https://chemrxiv.org/engage/chemrxiv/article-details/664c73f6418a5379b0de8152.

This dataset consists of molecular dynamics (MD) simulations of 862 unique protein-ligand complexes, covering a wide range of protein families and diverse chemical classes of ligands. It is derived from publicly available repositories and represents the largest single source of MD simulations to date.

All protein-ligand complexes included in the dataset were prepared following a standardized protocol. Missing atoms in the protein structures were added using the PDBFixer tool. The protein targets were parameterized using the AMBER99SB-ILDN force field, while ligands were parameterized with the ANTECHAMBER module within the ACPYPE tool. Ligand partial charges were determined to match the quantum-mechanically generated electrostatic potential via the Restrained Electrostatic Potential (RESP) method, and the remaining parameters were set using the GAFF2 force field. The molecular dynamics simulations were performed using GROMACS. The simulations were configured in a cubic simulation box with periodic boundary conditions and employed a TIP3P water model within an electrostatically neutral environment. The simulation protocol included an initial minimization cycle, followed by temperature equilibration in the NVT ensemble and pressure equilibration in the NPT ensemble. Production simulations were conducted over a period of 200 ns, with a timestep of 100 ps.

Constructing a large, representative set of MD simulations poses challenges due to the high computational costs and complexities associated with preparing molecular systems. Moreover, given the limited number of suitable training examples (complexes) and the large volume of MD data from each simulation, careful filtering and feature selection are crucial. This dataset is valuable for exploring how molecular dynamics simulation data can be integrated with protein-ligand binding affinity prediction tasks, an essential component of in silico drug discovery pipelines. MD simulations, in particular, offer a dynamic view by illustrating the temporal interactions within protein-ligand complexes, potentially providing additional insights for affinity and specificity estimates.
DOI: 10.15468/dl.d6cqnv
title: Occurrence Download

description: A dataset containing 1863096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Burundi, Ethiopia, Kenya, Tanzania, United Republic of, Uganda, Rwanda, South Sudan, Sudan, Somalia, Djibouti, Eritrea)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1863096 records from 635 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020608-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39twmr
title: Occurrence Download

description: A dataset containing 199593420 records in GBIF matching the query:
SELECT catalognumber, scientificname, publishingorgkey, institutioncode, datasetkey, gbifid, decimallatitude, decimallongitude, 
 recordedby, identifiedby, eventdate, kingdomkey, phylumkey, classkey, orderkey, familykey, genuskey, subgenuskey, specieskey,
 mediatype, v_associatedmedia
 FROM occurrence WHERE
 phylumkey = 7707728 AND classkey = 220 AND orderkey NOT IN (414, 422, 1353) 
 AND taxonomicstatus = 'ACCEPTED' //newly added 12Feb2025
 AND hascoordinate = 1
 AND hasgeospatialissues = 0
 AND specieskey IS NOT NULL
 AND occurrencestatus = 'PRESENT'
 -- AND (
 -- basisofrecord = 'HUMAN_OBSERVATION'
 -- OR basisofrecord = 'MACHINE_OBSERVATION'
 -- OR basisofrecord = 'OCCURRENCE'
 -- OR basisofrecord = 'LIVING_SPECIMEN'
 -- OR basisofrecord = 'MATERIAL_SAMPLE'
 -- )
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND datasetkey NOT IN ('040c5662-da76-4782-a48e-cdea1892d14c') 

 The dataset's 199593420 records were derived from 11011 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011522-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3q5xkx
title: Occurrence Download

description: A dataset listing the 67 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.37147 27.51908,38.46254 27.51908,38.46254 32.35975,26.37147 32.35975,26.37147 27.51908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cypraeidae"
 ]
}

 The dataset's 67 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003414-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/892gt7
title: Passed Acts; St. 1843, c.69, SC1/series 229

description: &lt;p&gt;Petition subject: Great Massachusetts Petition &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448109"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448109&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Grafton &lt;/p&gt; &lt;p&gt;Total signatures: 250 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 250 &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: George Latimer [note: this data reflects the information on the spreadsheet submitted by Henry I. Bowditch and William F. Channing to the legislature, which was filed with St. 1843, c.69, passed April 26, 1843. The majority of the Great Massachusetts Petition has not been located.] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1843, c.69, passed April 26, 1843 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/ldh7q9
title: SIIL Burkina Faso baseline survey

description: The baseline survey was conducted to characterize the crop-livestock systems in 8 project communities in two provinces of Burkina Faso (Seno and Yatenga) with focus on constraints and opportunities for intensification practices by smallholder farmers.
description: The baseline survey was conducted in 8 villages in 2 provinces of Burkina Faso (Seno and Yatenga). The survey was conducted in May 2016.
DOI: 10.7910/dvn/govqsp
title: Figure 6 Data

description: 6c-d. Unsupervised hierarchical clustering of single-cells in IPF (C) and liver cirrhosis (D) with violin plots showing clusters upregulated with relative elastic versus viscous signatures. Volcano plots show differential gene expression of cells associated with elastic ECM (IPF - clusters 0 and 3; Cirrhosis – clusters 1 and 5) or viscous ECM (IPF - cluster 1; Cirrhosis – Cluster 0).
DOI: 10.7910/dvn/ldm2w
title: Council; Files of Inactive Pardons and Pardons Not Granted, Case of Washington Goode, GC3/series 771, Petition of John A. Green

description: &lt;p&gt;Petition subject: Execution case &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:12233053"&gt;http://nrs.harvard.edu/urn-3:FHCL:12233053&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1849-04-25 &lt;/p&gt; &lt;p&gt;Petition location: Quincy &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;John A. Green&lt;/li&gt;&lt;li&gt;Henry Barker&lt;/li&gt;&lt;li&gt;Edwin W. Marsh&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 63 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 63 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: Washington Goode; "Will a Man rob God" written on the top of the petition &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Files of pardons inactive and not granted, Case of Washington Goode &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;