cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e194404v3-191573
title: National ZIP Code Crosswalk (1990-2020)

description: This data set identifies changes in ZIP Code boundaries between 1990 and 2020, and provides numeric codes that cluster the ZIP Codes into the smallest geographic unit, or group of ZIP Codes, that are consistent across a decade: 1990 – 2000, 2000 – 2010, and 2010 – 2020. This “crosswalk” covers the contiguous United States, Alaska, Hawaii, and the District of Columbia. Since much administrative data is available with ZIP Code as the smallest identifiable geography, ZIP Codes are often used to embed observations from administrative data (patients, businesses, survey respondents, etc.) within their social, demographic, and economic contexts. However, ZIP Code boundaries change over time, resulting in measurement error (matching observations to the wrong contextual unit) or missing data (due to an observation reporting a ZIP Code that did not exist at the beginning of the observational period). These data were collected, and the crosswalk created, in an attempt to resolve these data quality issues.
description: Not Applicable
description: Response Rates: Not Applicable
description: Presence of Common Scales: Not Applicable
description: These data are a complete census of all ZIP Code boundary changes that were published in the U.S. Postal Bulletin between 1990-2020.
description: ZIP Code boundary changes published in the U.S. Postal Bulletin between 1990-2020.  . Smallest Geographic Unit: ZIP Code
description: The U.S. Postal Bulletin is a biweekly administrative publication produced by the U.S. Postal Service which identifies and publishes ZIP Code administrative changes that are of interest to postal workers. Some of these changes do not affect the shape of ZIP Code boundaries (such as reassigning of a ZIP Code to a new administrative office). In other cases, some changes that do affect boundaries are announced and later retracted, while in other cases a ZIP Code may experience multiple boundary changes over the course of a decade. In this dataset, we only include changes that affect the boundaries of a ZIP Code, and we include what we have identified as a final geographic cluster, accounting for all changes that went into effect. This is meant to allow for researchers to identify the specific geographic area that a ZIP Code may refer to over the course of a decade.
DOI: 10.15468/dl.m997sd
title: Occurrence Download

description: A dataset containing 49262 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SDNHM Birds Collection"
 ]
}

 The dataset includes 49262 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042816-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5xb98
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 5.99177168056019",
 "DecimalLongitude is less than 5.99483123374458",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 430 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042818-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e240425
title: Multi-Stable Compliant-Mechanism-Based Mattress for Bedsore Prevention

description: Pressure injuries (i.e., bedsores) affect 2.5 million Americans every year and 60,000 die from them. Although several commercial alternating-pressure and low air-loss mattress products already exist to address this scourge, these products are not optimally effective and lack the evidence to deserve a strong medical recommendation. Moreover, they are expensive, heavy, and loud, and can exhibit lack of air-permeation, air leakage issues, and round-the-clock power consumption. We propose a multi-stable compliant-mechanism-based (MSCMB) mattress to overcome these issues and optimally prevent prolonged levels of harmful pressure in the existing immobile and aging population. This study evaluated six experts and six people with disabilities using the prototype mattress, compared to two conventional alternating air mattresses in a laboratory setting.
DOI: 10.3886/e240425v1
title: Multi-Stable Compliant-Mechanism-Based Mattress for Bedsore Prevention

description: Pressure injuries (i.e., bedsores) affect 2.5 million Americans every year and 60,000 die from them. Although several commercial alternating-pressure and low air-loss mattress products already exist to address this scourge, these products are not optimally effective and lack the evidence to deserve a strong medical recommendation. Moreover, they are expensive, heavy, and loud, and can exhibit lack of air-permeation, air leakage issues, and round-the-clock power consumption. We propose a multi-stable compliant-mechanism-based (MSCMB) mattress to overcome these issues and optimally prevent prolonged levels of harmful pressure in the existing immobile and aging population. This study evaluated six experts and six people with disabilities using the prototype mattress, compared to two conventional alternating air mattresses in a laboratory setting.
DOI: 10.15468/dl.nb2k2f
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.6188 23.84913, -109.4688 23.84913, -109.4688 23.99913, -109.6188 23.99913, -109.6188 23.84913))"
 ]
}

 The dataset includes 163 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042819-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7czuf
title: Occurrence Download

description: A dataset containing 213436 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Squamata [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL)"
 ]
 }
 ]
}

 The dataset includes 213436 records from 627 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042780-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au5jbr
title: Occurrence Download

description: A dataset containing 213436 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Squamata [GBIF Backbone Taxonomy])",
 "GadmGid is one of (COL)"
 ]
 }
 ]
}

 The dataset includes 213436 records from 627 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042779-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ua7bj6
title: Occurrence Download

description: A dataset containing 17433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mola mola",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 17433 records from 234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016681-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281123
title: Hemarthria altissima (Poir.) Stapf & C.E.Hubb. 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 16:47
DOI: 10.5281/zenodo.18281122
title: Hemarthria altissima (Poir.) Stapf & C.E.Hubb. 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 16:47
DOI: 10.5281/zenodo.18281126
title: Herbertia Sweet. 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 16:47
DOI: 10.5281/zenodo.18281127
title: Herbertia Sweet. 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 16:47
DOI: 10.5281/zenodo.18281135
title: Herbertia amatorum C.H.Wright. 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 16:47
DOI: 10.5281/zenodo.18281136
title: Herbertia amatorum C.H.Wright. 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 16:47
DOI: 10.15468/dl.zt97y7
title: Occurrence Download

description: A dataset containing 41881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aquila adalberti",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 41881 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016682-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281139
title: Herbertia amoena Griseb. 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 16:47
DOI: 10.5281/zenodo.18281140
title: Herbertia amoena Griseb. 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 16:47
DOI: 10.15468/dl.4nvc4q
title: Occurrence Download

description: A dataset containing 889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mobula mobular",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 889 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016683-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18280706
title: Concrete Building Surface Defects Semantic Segmentation Dataset

description:   This repository provides a publicly available subset of the concrete surface defect segmentation dataset used in our paper “A Mix Transformer Enhanced UNet for Concrete Building Surface Defects Semantic Segmentation”.

  This study utilizes several publicly available concrete defect image datasets, including CODEBRIM (Concrete Defect Bridge Image Dataset), MRBD (Multi-classifier for RC Bridge Defects), and CCCD (Concrete Crack Conglomerate Dataset). These datasets provide a rich source of samples, particularly in the areas of concrete bridge and conglomerate crack defects. To ensure the comprehensiveness of the study, we supplemented the datasets with additional samples collected from the field and online public resources, addressing the underrepresented defect types. We sincerely thank the authors and communities who have contributed and shared these publicly available datasets, as their valuable resources have greatly advanced research in concrete building surface defects semantic segmentation.

Mundt, M., Majumder, S., Murali, S., Panetsos, P., & Ramesh, V. (2019). CODEBRIM: COncrete DEfect BRidge IMage Dataset (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.2620293

Hüthwohl, P., Lu, R., & Brilakis, I. (2019). Multi-classifier for reinforced concrete bridge defects. Automation in Construction, 105, 102824. https://doi.org/10.1016/j.autcon.2019.04.019

Bianchi, E; Hebdon, M. Concrete Crack Conglomerate Dataset. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/16625056.v1.

  Due to data-sharing restrictions, the full dataset cannot be released. We therefore construct and release a subset consisting of 200 pixel-level annotated images. The subset is carefully selected to preserve the defect occurrence frequencies and the class distribution of the original dataset, maximizing consistency with the full dataset in terms of structural characteristics and class imbalance, while allowing for minimal deviations during the sampling process. 

  The dataset includes four defect categories—crack, weathering, spalling, and exposed reinforcement—with dense pixel-wise annotations. The relative proportions of each defect type in the subset are consistent with those in the original dataset, ensuring that the structural characteristics of the full dataset are faithfully retained.

  This subset is intended to support reproducibility, benchmarking, and comparative evaluation of segmentation models. It serves as a representative proxy for the full dataset rather than a replacement.
DOI: 10.5281/zenodo.18280707
title: Concrete Building Surface Defects Semantic Segmentation Dataset

description:   This repository provides a publicly available subset of the concrete surface defect segmentation dataset used in our paper “A Mix Transformer Enhanced UNet for Concrete Building Surface Defects Semantic Segmentation”.

  This study utilizes several publicly available concrete defect image datasets, including CODEBRIM (Concrete Defect Bridge Image Dataset), MRBD (Multi-classifier for RC Bridge Defects), and CCCD (Concrete Crack Conglomerate Dataset). These datasets provide a rich source of samples, particularly in the areas of concrete bridge and conglomerate crack defects. To ensure the comprehensiveness of the study, we supplemented the datasets with additional samples collected from the field and online public resources, addressing the underrepresented defect types. We sincerely thank the authors and communities who have contributed and shared these publicly available datasets, as their valuable resources have greatly advanced research in concrete building surface defects semantic segmentation.

Mundt, M., Majumder, S., Murali, S., Panetsos, P., & Ramesh, V. (2019). CODEBRIM: COncrete DEfect BRidge IMage Dataset (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.2620293

Hüthwohl, P., Lu, R., & Brilakis, I. (2019). Multi-classifier for reinforced concrete bridge defects. Automation in Construction, 105, 102824. https://doi.org/10.1016/j.autcon.2019.04.019

Bianchi, E; Hebdon, M. Concrete Crack Conglomerate Dataset. University Libraries, Virginia Tech. Dataset. https://doi.org/10.7294/16625056.v1.

  Due to data-sharing restrictions, the full dataset cannot be released. We therefore construct and release a subset consisting of 200 pixel-level annotated images. The subset is carefully selected to preserve the defect occurrence frequencies and the class distribution of the original dataset, maximizing consistency with the full dataset in terms of structural characteristics and class imbalance, while allowing for minimal deviations during the sampling process. 

  The dataset includes four defect categories—crack, weathering, spalling, and exposed reinforcement—with dense pixel-wise annotations. The relative proportions of each defect type in the subset are consistent with those in the original dataset, ensuring that the structural characteristics of the full dataset are faithfully retained.

  This subset is intended to support reproducibility, benchmarking, and comparative evaluation of segmentation models. It serves as a representative proxy for the full dataset rather than a replacement.
DOI: 10.15468/dl.428wbq
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrapturus belone",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016687-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tqhf4
title: Occurrence Download

description: A dataset containing 4020 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sminthopsis fuliginosus"
 ]
}

 The dataset includes 4020 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016686-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281164
title: Herbertia crosae Roitman & J.A.Castillo. 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 16:47
DOI: 10.5281/zenodo.18281165
title: Herbertia crosae Roitman & J.A.Castillo. 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 16:47
DOI: 10.5281/zenodo.18281159
title: WasteToWealth_CSI_Database on soil properties before and after compost addition (chemical properties, biological properties)
DOI: 10.5281/zenodo.18281158
title: WasteToWealth_CSI_Database on soil properties before and after compost addition (chemical properties, biological properties)
DOI: 10.5281/zenodo.18281170
title: Herbertia darwinii Roitman & J.A.Castillo. 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 16:47
DOI: 10.5281/zenodo.18281171
title: Herbertia darwinii Roitman & J.A.Castillo. 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 16:47
DOI: 10.15468/dl.xhrs6j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tylosurus melanotus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016689-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281143
title: LINF_310021000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18281144
title: LINF_310021000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18281178
title: Herbertia lahue (Molina) Goldblatt. 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 16:47
DOI: 10.5281/zenodo.18281179
title: Herbertia lahue (Molina) Goldblatt. 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 16:47
DOI: 10.34740/kaggle/dsv/14441696
title: Solana Datset (One Year Hourly Data)
DOI: 10.5281/zenodo.18281190
title: Herbertia pulchella Sweet. 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 16:47
DOI: 10.5281/zenodo.18281191
title: Herbertia pulchella Sweet. 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 16:47
DOI: 10.15468/dl.7xy94j
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Remora remora",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 868 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016691-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31034866.v1
title: Data Soil Bacteria 16S rRNA Metagenomics

description: Raw Data of Soil Bacteria 16S rRNA Metagenomics
DOI: 10.15468/dl.gs8zrf
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa pigra",
 "Year 2000-2026"
 ]
}

 The dataset includes 121 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016692-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x9wjh
title: Occurrence Download

description: A dataset containing 131498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.98296 36.74521,-6.40001 35.83232,-4.26809 35.99419,-3.58521 37.11799,-4.48461 37.79229,-6.00028 37.68692,-6.98296 36.74521))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 131498 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016684-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.