cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/rpag-6cw9
title: Measurement of Pp_DDE at Aspvreten

description: Measurement of Pp_DDE at Aspvreten
DOI: 10.48597/rsgw-68nc
title: Measurement of Benzo_ghi_perylene at Aspvreten

description: Measurement of Benzo_ghi_perylene at Aspvreten
DOI: 10.48597/ryfc-dast
title: Measurement of PCB_101 at Aspvreten

description: Measurement of PCB_101 at Aspvreten
DOI: 10.48597/sgaq-thcy
title: Measurement of BDE_153 at Råö

description: Measurement of BDE_153 at Råö
DOI: 10.48597/smk7-4ybq
title: Measurement of PCB_138 at Pallas (Matorova)

description: Measurement of PCB_138 at Pallas (Matorova)
DOI: 10.48597/ta5b-tmpq
title: Measurement of Phenanthrene at Råö

description: Measurement of Phenanthrene at Råö
DOI: 10.48597/tcf5-5thd
title: Measurement of PCB_153 at Pallas (Matorova)

description: Measurement of PCB_153 at Pallas (Matorova)
DOI: 10.48597/tdtk-u4u4
title: Measurement of PCB_52 at Råö

description: Measurement of PCB_52 at Råö
DOI: 10.7910/dvn/yrqj5r
title: PDB: 6UMT, Crystal structure of human PD-1: PD-L2 complex (311K, 38°C, 500 ns) - random seed #3

description: PDB: 6UMT, Crystal structure of human PD-1: PD-L2 complex (311K, 38°C, 500 ns) - random seed #3
DOI: 10.15468/dl.98t3c4
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Accipiter francesiae",
 "Year is one of (1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 41 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240481
title: Weekly Counts of Death by Jurisdiction and Select Causes of Death

description: This visualization provides weekly data on the number of deaths by 
jurisdiction of occurrence and cause of death. Counts of deaths in more 
recent weeks can be compared with counts from earlier years to determine
 if the number is higher than expected. Selected causes of death are 
shown, based on analyses of the most prevalent comorbid conditions 
reported on death certificates where COVID-19 was listed as a cause of 
death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities).
 Cause of death counts are based on the underlying cause of death, and 
presented for Respiratory diseases, Circulatory diseases, Malignant 
neoplasms, and Alzheimer disease and dementia. Estimated numbers of 
deaths due to these other causes of death could represent misclassified 
COVID-19 deaths, or potentially could be indirectly related to COVID-19 
(e.g., deaths from other causes occurring in the context of health care 
shortages or overburdened health care systems). Deaths with an 
underlying cause of death of COVID-19 are not included in these 
estimates of deaths due to other causes. Deaths due to external causes 
(i.e. injuries) or unknown causes are excluded. For more detail, see the
 Technical Notes.<br>
DOI: 10.3886/e240481v2
title: Weekly Counts of Death by Jurisdiction and Select Causes of Death

description: This visualization provides weekly data on the number of deaths by 
jurisdiction of occurrence and cause of death. Counts of deaths in more 
recent weeks can be compared with counts from earlier years to determine
 if the number is higher than expected. Selected causes of death are 
shown, based on analyses of the most prevalent comorbid conditions 
reported on death certificates where COVID-19 was listed as a cause of 
death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities).
 Cause of death counts are based on the underlying cause of death, and 
presented for Respiratory diseases, Circulatory diseases, Malignant 
neoplasms, and Alzheimer disease and dementia. Estimated numbers of 
deaths due to these other causes of death could represent misclassified 
COVID-19 deaths, or potentially could be indirectly related to COVID-19 
(e.g., deaths from other causes occurring in the context of health care 
shortages or overburdened health care systems). Deaths with an 
underlying cause of death of COVID-19 are not included in these 
estimates of deaths due to other causes. Deaths due to external causes 
(i.e. injuries) or unknown causes are excluded. For more detail, see the
 Technical Notes.<br>
DOI: 10.15468/dl.xkuntw
title: Occurrence Download

description: A dataset containing 19931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Geodetic datum invalid, Coordinate rounded, Footprint WKT mismatch, Country mismatch, Country derived from coordinates, Continent derived from coordinates, Recorded date mismatch, Recorded date invalid, Taxon match higher rank, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Depth unlikely, Elevation min max swapped, Identified date invalid, Multimedia URI invalid, References URI invalid, Individual count invalid, Occurrence status unparsable, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Zea mays",
 "Year 1950-2025"
 ]
}

 The dataset includes 19931 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/prg42g
title: PDB: 6UMT, Crystal structure of human PD-1: PD-L2 complex (312K, 39°C, 500 ns) - random seed #3

description: PDB: 6UMT, Crystal structure of human PD-1: PD-L2 complex (312K, 39°C, 500 ns) - random seed #3
DOI: 10.5281/zenodo.17730144
title: Discovery of Cellular Rejuvenation Targets Through Attractor-Based Analysis of Gene Regulatory Networks Along Aging Trajectories

description: This dataset contains processed single-cell RNA sequencing data and Boolean network analysis results from human skin biopsies spanning donors aged 18 to 76 years. The original sequencing data was obtained from Zou et al. (2021) via the Human Cell Atlas Data Explorer.

The dataset includes quality-controlled and normalized expression data for 47,060 cells across 25 cell types, with keratinocytes representing 80.4% of the population. Two distinct keratinocyte aging trajectories were identified through pseudotime analysis: Y_272 (representing aging as convergence toward a stable aged state) and Y_308 (representing aging as departure from a youthful state).

For each trajectory, the dataset provides GeneSwitches results identifying genes with binary expression transitions during aging, SCENIC-derived gene regulatory networks, Boolean network models with attractor landscapes, and systematic perturbation analysis results. Key findings include identification of BACH2 knockdown as the dominant rejuvenation target for trajectory Y_272 and ASCL2 knockdown (alone or combined with ATF6) for trajectory Y_308.

Source Data:** Zou, Zhiran, et al. "A single-cell transcriptomic atlas of human skin aging." Developmental Cell 56.3 (2021): 383-397.
DOI: 10.5281/zenodo.17730145
title: Discovery of Cellular Rejuvenation Targets Through Attractor-Based Analysis of Gene Regulatory Networks Along Aging Trajectories

description: This dataset contains processed single-cell RNA sequencing data and Boolean network analysis results from human skin biopsies spanning donors aged 18 to 76 years. The original sequencing data was obtained from Zou et al. (2021) via the Human Cell Atlas Data Explorer.

The dataset includes quality-controlled and normalized expression data for 47,060 cells across 25 cell types, with keratinocytes representing 80.4% of the population. Two distinct keratinocyte aging trajectories were identified through pseudotime analysis: Y_272 (representing aging as convergence toward a stable aged state) and Y_308 (representing aging as departure from a youthful state).

For each trajectory, the dataset provides GeneSwitches results identifying genes with binary expression transitions during aging, SCENIC-derived gene regulatory networks, Boolean network models with attractor landscapes, and systematic perturbation analysis results. Key findings include identification of BACH2 knockdown as the dominant rejuvenation target for trajectory Y_272 and ASCL2 knockdown (alone or combined with ATF6) for trajectory Y_308.

Source Data:** Zou, Zhiran, et al. "A single-cell transcriptomic atlas of human skin aging." Developmental Cell 56.3 (2021): 383-397.
DOI: 10.21227/h3nr-j320
title: "Reverse design of the MIM-enhanced EBG structure"

description: "This dataset is part of a study on the optimization of electromagnetic bandgap (EBG) structures for system-in-package (SiP) applications. It focuses on the integration of Metal-Insulator-Metal (MIM) capacitors into the EBG unit cell, to suppress electromagnetic interference (EMI) over a wider frequency band. The dataset includes parameterized designs with 6 variables and their corresponding performance metrics such as stopband frequency and bandwidth."
DOI: 10.6084/m9.figshare.28407524
title: ReaxNet pretrained model

description: Pretrained model
DOI: 10.6084/m9.figshare.28407524.v2
title: ReaxNet pretrained model

description: Pretrained model
DOI: 10.6084/m9.figshare.28407524.v1
title: Pretrained model for "A universal machine learning potential with polarizable long-range interactions for materials modelling"

description: Pretrained model for "A universal machine learning potential with polarizable long-range interactions for materials modelling"
DOI: 10.5281/zenodo.17291635
title: Dataset for "A Specialized ESMC-Transformer for L-cystathionine γ-lyase (CGL) Engineering and Its Structural Interpretation"

description: - Intended use: Reproduction of the deep learning experiments and further research in enzyme activity prediction and protein design.

- Related resources: Code repository for data preprocessing and model training is available at: https://github.com/iungyu-snu/EnzFormer

- License: CC BY 4.0

- Filename: EnzFormer_data.tar.gz- SHA256 checksum: fd6fd8d1979947b432e7d1ac7ab3eeca5d7b85f4de3c9c4463e311e114746554
DOI: 10.5281/zenodo.17291636
title: Dataset for "A Specialized ESMC-Transformer for L-cystathionine γ-lyase (CGL) Engineering and Its Structural Interpretation"

description: - Intended use: Reproduction of the deep learning experiments and further research in enzyme activity prediction and protein design.

- Related resources: Code repository for data preprocessing and model training is available at: https://github.com/iungyu-snu/EnzFormer

- License: CC BY 4.0

- Filename: EnzFormer_data.tar.gz- SHA256 checksum: fd6fd8d1979947b432e7d1ac7ab3eeca5d7b85f4de3c9c4463e311e114746554
DOI: 10.15468/dl.gyx38g
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Dendropsophus robertmertensi"
 ]
}

 The dataset includes 531 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011090-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ueyz
title: Occurrence Download

description: A dataset containing 5802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zinnia elegans",
 "Year 1950-2025"
 ]
}

 The dataset includes 5802 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011091-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240704
title: PLACES: Local Data for Better Health, County Data 2024 release

description: This dataset contains model-based county estimates. PLACES covers the 
entire United States—50 states and the District of Columbia—at county, 
place, census tract, and ZIP Code Tabulation Area levels. It provides 
information uniformly on this large scale for local areas at four 
geographic levels. Estimates were provided by the Centers for Disease 
Control and Prevention (CDC), Division of Population Health, 
Epidemiology and Surveillance Branch. PLACES was funded by the Robert 
Wood Johnson Foundation in conjunction with the CDC Foundation. This 
dataset includes estimates for 40 measures: 12 for health outcomes, 7 
for preventive services use, 4 for chronic disease-related health risk 
behaviors, 7 for disabilities, 3 for health status, and 7 for 
health-related social needs. These estimates can be used to identify 
emerging health problems and to help develop and carry out effective, 
targeted public health prevention activities. Because the small area 
model cannot detect effects due to local interventions, users are 
cautioned against using these estimates for program or policy 
evaluations. Data sources used to generate these model-based estimates 
are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 
data, Census Bureau 2022 county population estimate data, and American 
Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS 
data for 36 measures and 2021 BRFSS data for 4 measures (high blood 
pressure, high cholesterol, cholesterol screening, and taking medicine 
for high blood pressure control among those with high blood pressure) 
that the survey collects data on every other year. More information 
about the methodology can be found at www.cdc.gov/places.<br>
DOI: 10.3886/e240704v1
title: PLACES: Local Data for Better Health, County Data 2024 release

description: This dataset contains model-based county estimates. PLACES covers the 
entire United States—50 states and the District of Columbia—at county, 
place, census tract, and ZIP Code Tabulation Area levels. It provides 
information uniformly on this large scale for local areas at four 
geographic levels. Estimates were provided by the Centers for Disease 
Control and Prevention (CDC), Division of Population Health, 
Epidemiology and Surveillance Branch. PLACES was funded by the Robert 
Wood Johnson Foundation in conjunction with the CDC Foundation. This 
dataset includes estimates for 40 measures: 12 for health outcomes, 7 
for preventive services use, 4 for chronic disease-related health risk 
behaviors, 7 for disabilities, 3 for health status, and 7 for 
health-related social needs. These estimates can be used to identify 
emerging health problems and to help develop and carry out effective, 
targeted public health prevention activities. Because the small area 
model cannot detect effects due to local interventions, users are 
cautioned against using these estimates for program or policy 
evaluations. Data sources used to generate these model-based estimates 
are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 
data, Census Bureau 2022 county population estimate data, and American 
Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS 
data for 36 measures and 2021 BRFSS data for 4 measures (high blood 
pressure, high cholesterol, cholesterol screening, and taking medicine 
for high blood pressure control among those with high blood pressure) 
that the survey collects data on every other year. More information 
about the methodology can be found at www.cdc.gov/places.<br>
DOI: 10.6084/m9.figshare.30729053
title: Private experimental data

description: A private dataset for testing purposes.
DOI: 10.6084/m9.figshare.30729053.v1
title: Private experimental data

description: A private dataset for testing purposes.
DOI: 10.15468/dl.bz3fz6
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Chalcophora japonica, Chalcophora japonica oshimana, Chalcophora japonica kumejimana, Chalcophora japonica japonica, Chalcophora japonica miwai, Chalcophora japonica chinensis, Chalcophora japonica takarajimana, Chalcophora japonica bourgoini)"
 ]
}

 The dataset includes 107 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbwsgp
title: Occurrence Download

description: A dataset listing the 23392 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (New Zealand, Australia)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 23392 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17730301
title: Table 1 - 1 in 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component

description: Table 1-1: Project Proponents
EntityRoleMinistry of Water and IrrigationClient and owner of the Project.BOT ContractorThe contractor who is responsible for designing, implementing,and operating the project, as well as updating the ESIA asneeded and developing the detailed management plans requiredduring construction and operation.European Investment Bank andThe funding agencies that financed the ESIA and the preliminaryUSAIDdesign,, responsible to ensure the project is in line with theirenvironmental and social standardsAqaba Special Economic ZoneThe governmental entity responsible for approving theAuthority (ASEZA)Environmental Impact Assessment (EIA) and issuing theenvironmental permit for the RE component as it is located withinits jurisdiction.CDM SmithThe consultant responsible for the Project’s preliminary design.
description: Published as part of Development, Tetra Tech International, 2025, 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component in null, European Investment Bank (EIB) on page 10, DOI: 10.5281/zenodo.17261273
DOI: 10.5281/zenodo.17730302
title: Table 1 - 1 in 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component

description: Table 1-1: Project Proponents
EntityRoleMinistry of Water and IrrigationClient and owner of the Project.BOT ContractorThe contractor who is responsible for designing, implementing,and operating the project, as well as updating the ESIA asneeded and developing the detailed management plans requiredduring construction and operation.European Investment Bank andThe funding agencies that financed the ESIA and the preliminaryUSAIDdesign,, responsible to ensure the project is in line with theirenvironmental and social standardsAqaba Special Economic ZoneThe governmental entity responsible for approving theAuthority (ASEZA)Environmental Impact Assessment (EIA) and issuing theenvironmental permit for the RE component as it is located withinits jurisdiction.CDM SmithThe consultant responsible for the Project’s preliminary design.
description: Published as part of Development, Tetra Tech International, 2025, 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component in null, European Investment Bank (EIB) on page 10, DOI: 10.5281/zenodo.17261273
DOI: 10.5281/zenodo.17730303
title: Table 1 - 2 in 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component

description: Table 1-2: ESIA Report Structure
SectionContents1. IntroductionPresents background of the Project, the Project’s proponents, the need for the Project and the ESIA objectives and structure2. Project DescriptionProvides a detailed description of the Project and its components3. Legal and Administrative FrameworkIdentifies the public entities that will be involved in the various aspects of Project construction and operation and the laws, regulations and standards governing the environmental and social performance of the Project and presents the alternatives considered for the Project4. MethodsDefines the Project area of influence, presents the methods used to collect data on the physical, biological and socioeconomic conditions within this area and describes the methodology used for impact assessment5. Stakeholder EngagementDescribes all stakeholder engagement activities conducted to date and the main findings6. Environmental and Social BaselinePresents all relevant information collected on environmental and social conditions within the Project area of influence setting the current baseline7. Impact Assessment and MitigationDescribes the anticipated positive and negative environmental and social impacts likely to result from the Project and proposed mitigation measures8. Environmental and Social Management Plans for the AAWDCP – RE ComponentPresents the ESMP developed to ensure that the project’s environmental and social impacts are avoided, minimized or, if necessary, offset. It also presents the Monitoring Program in addition to a framework for all required Plans9. AnnexesAll related annexes
description: Published as part of Development, Tetra Tech International, 2025, 21 - MSK-JOR-ENV - Preliminary Risks Assessment and ESIA for the Aqaba-Amman Water Desalination and Conveyance (AAWDC) Project (Jordan) - Renewable Energy Component in null, European Investment Bank (EIB) on page 11, DOI: 10.5281/zenodo.17261273