cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.k7mtre
title: Occurrence Download

description: A dataset containing 2291 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Collection"
 ]
}

 The dataset includes 2291 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049159-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vamiep
title: Occurrence Download

description: A dataset containing 33685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Weinmannia racemosa L.fil."
 ]
}

 The dataset includes 33685 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003175-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e193486
title: Data and Code for: Creating Moves to Opportunity: Experimental Evidence on Barriers to Neighborhood Choice

description: Low-income families in the United States tend to live in neighborhoods that offer limited opportunities for upward income mobility. One potential explanation for this pattern is that families prefer such neighborhoods for other reasons, such as affordability or proximity to family and jobs. An alternative explanation is that they do not move to high-opportunity areas because of a lack of information or barriers that prevent them from making such moves. We test between these explanations using a two-phase randomized controlled trial with housing voucher recipients in Seattle and King County. We first provided a bundle of resources to facilitate moves to high-upward-mobility neighborhoods: information about high-opportunity areas, short-term financial assistance, customized assistance during the housing search process, and connections to landlords. This bundled intervention increased the fraction of families who moved to high-upward-mobility areas from 15% in the control group to 53% in the treatment group. To understand the mechanisms underlying this effect, we ran a second phase with three arms: (1) information about high-opportunity areas and financial assistance only; (2) reduced support services in addition to information and financial assistance; and (3) full support services, as in the original bundled intervention. The full services had five times as large a treatment effect as the information and financial incentives treatment and three times as large an effect as the reduced support intervention, showing that high-intensity, customized support enables moves to opportunity. Interviews with randomly selected families reveal that the program succeeded by relaxing families’ bandwidth constraints and addressing their specific needs, from identifying suitable units to providing emotional support to brokering with landlords. Families induced to move to higher opportunity areas tend to stay in their new neighborhoods in subsequent years and report higher levels of neighborhood satisfaction after moving. Our findings imply that many low-income families do not have a strong preference to stay in low-opportunity areas and that barriers in the housing search process are a central driver of residential segregation by income.
DOI: 10.3886/e193486v1-148661
title: Data and Code for: Creating Moves to Opportunity: Experimental Evidence on Barriers to Neighborhood Choice

description: Low-income families in the United States tend to live in neighborhoods that offer limited opportunities for upward income mobility. One potential explanation for this pattern is that families prefer such neighborhoods for other reasons, such as affordability or proximity to family and jobs. An alternative explanation is that they do not move to high-opportunity areas because of a lack of information or barriers that prevent them from making such moves. We test between these explanations using a two-phase randomized controlled trial with housing voucher recipients in Seattle and King County. We first provided a bundle of resources to facilitate moves to high-upward-mobility neighborhoods: information about high-opportunity areas, short-term financial assistance, customized assistance during the housing search process, and connections to landlords. This bundled intervention increased the fraction of families who moved to high-upward-mobility areas from 15% in the control group to 53% in the treatment group. To understand the mechanisms underlying this effect, we ran a second phase with three arms: (1) information about high-opportunity areas and financial assistance only; (2) reduced support services in addition to information and financial assistance; and (3) full support services, as in the original bundled intervention. The full services had five times as large a treatment effect as the information and financial incentives treatment and three times as large an effect as the reduced support intervention, showing that high-intensity, customized support enables moves to opportunity. Interviews with randomly selected families reveal that the program succeeded by relaxing families’ bandwidth constraints and addressing their specific needs, from identifying suitable units to providing emotional support to brokering with landlords. Families induced to move to higher opportunity areas tend to stay in their new neighborhoods in subsequent years and report higher levels of neighborhood satisfaction after moving. Our findings imply that many low-income families do not have a strong preference to stay in low-opportunity areas and that barriers in the housing search process are a central driver of residential segregation by income.
DOI: 10.15468/dl.ft4yye
title: Occurrence Download

description: A dataset containing 155627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((35.924964333333335 32.097476, 35.924964333333335 49.184106666666665, 1.8796086666666671 49.184106666666665, 1.8796086666666671 32.097476, 35.924964333333335 32.097476))",
 "EventDate is 2015-11-01,2015-11-30"
 ]
}

 The dataset includes 155627 records from 505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048418-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hg6rg
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelis micacea Luer & Hirtz"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194382-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6sx4g
title: Occurrence Download

description: A dataset containing 40339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer saccharum Marshall"
 ]
}

 The dataset includes 40339 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049163-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxlghe
title: Occurrence Download

description: A dataset containing 1131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "TaxonKey is Ribes L."
 ]
}

 The dataset includes 1131 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001486-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmrdxk
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synallaxis hellmayri Reiser, 1905"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003176-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwkcde
title: Occurrence Download

description: A dataset containing 3033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia cassubica L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3033 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003176-150410134957023/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh78s3
title: Occurrence Download

description: A dataset containing 77698 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphis Linnaeus, 1758"
 ]
}

 The dataset includes 77698 records from 589 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194237-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkqxny
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurycea wallacei (Carr, 1939))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 68 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068711-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bqtjp
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidogyne tuerckheimii (Schltr.) Garay"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068698-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vyqxm
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nycteris aurita (K.Andersen, 1912))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068705-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68c2zz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptodactylodon axillaris Amiet, 1971)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068706-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qnseh
title: Occurrence Download

description: A dataset containing 63243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron ponticum L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 63243 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042898-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxsgdv
title: Occurrence Download

description: A dataset containing 6456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Neobatrachus sudelli (Lamb, 1911))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6456 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068695-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vt86m
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Palaemnema orientalis De Marmels, 1989)"
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010006-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nayjfw
title: Occurrence Download

description: A dataset containing 179437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phocoena phocoena (Linnaeus, 1758), Phocaena phocaena Kleinenberg, 1956, Phocena phocena Gray, 1821)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179437 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068692-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf5vkn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardioglossa trifasciata Amiet, 1972)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068688-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cnqma
title: Occurrence Download

description: A dataset containing 528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nycteris gambiensis (K.Andersen, 1912))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 528 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068693-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38pe9h
title: Occurrence Download

description: A dataset listing the 3988908 species recorded in GBIF matching the query:
{ }

 The dataset's 3988908 records were derived from 62928 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009703-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14284/765
title: Physical-chemical parameters during shifts of water transparency in a hypersaline lagoon

description: Data were collected to identify the main descriptors of changes from hypertrophic to mesotrophic conditions in a tropical hypersaline lagoon between 2019-2022.
description: Data from nine campaigns were analyzed covering all seasons during dystrophic events in Araruama Lagoon (Brazil) between 2019 and 2022. Samples collected at eleven points (10 inside the lagoon, 1 outside - control point at Praia do Forte) from water column at different depths (Van Dorn bottle; dissolved and particulate fractions) and sediment (Van Veen grab; grains and porewater). In situ and laboratory analyses were made to quantify several parameters.
DOI: 10.5281/zenodo.17669208
title: Intrinsic rhythmicity and lying behaviour in horses exposed to different shelter layouts

description: Description of methods used for collection/generation of data:

20 horses housed in a paddock-trail system were monitored under four different shelter layouts using a Latin square design.

Accelerometers were mounted on the left front leg of each horse and recorded activity continuously.

Lying behaviour was classified from sensor orientation.

Rhythmicity metrics (DFC, HP) were computed from 7-day windows using Fourier decomposition via the digiRhythm R package.

Weather data were retrieved from the nearest MeteoSwiss station and aggregated to each 7-day window.

Methods for processing the data:

Raw accelerometer files → orientation → binary lying classification → daily & weekly metrics.

Fourier spectral analysis of activity (24 h & harmonics) → DFC & HP.

Weather variables aggregated using daily means or sums depending on parameter.

All analyses performed in R 4.x using lme4, MuMIn, DHARMa, and digiRhythm.

Instrument- or software-specific information needed to interpret the data:

R package digiRhythm (SoftX, 2025; doi:10.1016/j.softx.2025.102184)

R packages: lme4, dplyr, lubridate, boot, ggplot2, rcompanion, MuMIn, DHARMa
DOI: 10.5281/zenodo.17669209
title: Intrinsic rhythmicity and lying behaviour in horses exposed to different shelter layouts

description: Description of methods used for collection/generation of data:

20 horses housed in a paddock-trail system were monitored under four different shelter layouts using a Latin square design.

Accelerometers were mounted on the left front leg of each horse and recorded activity continuously.

Lying behaviour was classified from sensor orientation.

Rhythmicity metrics (DFC, HP) were computed from 7-day windows using Fourier decomposition via the digiRhythm R package.

Weather data were retrieved from the nearest MeteoSwiss station and aggregated to each 7-day window.

Methods for processing the data:

Raw accelerometer files → orientation → binary lying classification → daily & weekly metrics.

Fourier spectral analysis of activity (24 h & harmonics) → DFC & HP.

Weather variables aggregated using daily means or sums depending on parameter.

All analyses performed in R 4.x using lme4, MuMIn, DHARMa, and digiRhythm.

Instrument- or software-specific information needed to interpret the data:

R package digiRhythm (SoftX, 2025; doi:10.1016/j.softx.2025.102184)

R packages: lme4, dplyr, lubridate, boot, ggplot2, rcompanion, MuMIn, DHARMa
DOI: 10.5281/zenodo.17733246
title: Global AI Observability Solutions Market 2025 – 2034

description: As per the AI Observability Solutions Market size analysis conducted by the CMI Team, the global AI Observability Solutions Market is expected to record a CAGR of 22.5% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 1.7 Billion. By 2034, the valuation is anticipated to reach USD 12.5 Billion.

Click Here to Access a Free Sample Report of the Global AI Observability Solutions Market @ https://www.custommarketinsights.com/request-for-free-sample/?reportid=75235

Report Scope




Feature of the Report
Details


Market Size in 2025
USD 1.7 Billion


Projected Market Size in 2034
USD 12.5 Billion


Market Size in 2024
USD 1.4 Billion


CAGR Growth Rate
22.5% CAGR


Base Year
2024


Forecast Period
2025-2034


Key Segment
By Component, Deployment Mode, Organization Size, Industry Vertical and Region


Report Coverage
Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends


Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America


Buying Options
Request tailored purchasing options to fulfil your requirements for research.




SWOT Analysis



Strengths: The market is driven by the rapid adoption of AI in enterprises, a rise in the adoption of transparency, and the establishment of advanced DevOps and cloud ecosystems. The market is reinforced with the integration of real time analytics and automation along with compliance and is well positioned for continuous scalability and increased demand.




Weaknesses: These include high costs of implementation, challenges around data privacy, and the shortage of skilled personnel to oversee the observability frameworks. The lack of standardization around the AI models and the data formats may lead to It restricts interoperability and consistent performance.




Opportunities: The growing need for AI governance frameworks, increasing deployments in the cloud, and the new GenAI monitoring solutions provide new business opportunities. The increased AI adoption within SMEs and developing economies also increases the need for affordable and scalable observability solutions.




Threats: Long-term viability is also compromised with rapid technological advances, data security and privacy breaches, and risks of model manipulation. Profitability may be driven down by competition via open-source solutions, unclear regulations, and slow enterprise adoption, all of which will also stifle overall market growth and slow integration within the market.


Request a Customized Copy of the AI Observability Solutions Market Report @ https://www.custommarketinsights.com/request-for-customization/?reportid=75235